1
|
Tian X, Ma A, Jia Z, Ruzeaiti B, Liang G, Zeng H, Wu Y. MRI radiomics combined with delta-radiomics model for predicting pathological complete response in locally advanced rectal cancer patients after neoadjuvant chemoradiotherapy: A multi-institutional study. Appl Radiat Isot 2025; 222:111842. [PMID: 40273481 DOI: 10.1016/j.apradiso.2025.111842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2025] [Accepted: 04/11/2025] [Indexed: 04/26/2025]
Abstract
PURPOSE To construct and validate a magnetic resonance imaging (MRI) radiomics combined with delta-radiomics and clinical information (C) model for predicting pathological complete response (pCR) in patients with locally advanced rectal cancer (LARC) after neoadjuvant chemoradiotherapy (nCRT). METHODS A total of 198 patients with LARC who underwent MRI before and after nCRT were retrospectively enrolled in this multi-institutional retrospective study. MRI radiomics features were extracted from pre- and post-nCRT diffusion weighted imaging (DWI) and T2-weighted imaging (T2WI) images. The least absolute shrinkage and selection operator (LASSO) and principal component analysis (PCA) algorithm were used to select the optimal predictive features. We constructed the following models, four single-modal radiomics models: DWI-post, DWI-pre, T2-post, T2-pre, two delta-radiomics models: DWI-delta, T2-delta and four multi-modal fusion models: DWI-post + DWI-pre, DWI-post + DWI-delta, DWI-post + DWI-delta + T2-delta, DWI-post + DWI-delta + T2-delta + C. The models were developed using four machine learning classifiers, including Decision Tree (DT), random forest (RF), support vector machine (SVM), and extreme gradient boosting (XGBoost). RESULTS The multi-modal fusion model DWI-post + DWI-delta + T2-delta achieved the best performance with an area under the curve (AUC) of 0.879 for predicting pCR, which was significantly higher than that of the single-modal model DWI-post (optimal AUC = 0.824), DWI-pre (optimal AUC = 0.836) and the delta-radiomics model DWI-delta (optimal AUC = 0.841), T2-delta (optimal AUC = 0.837) in the internal validation sets. XGBoost classifier showed better prediction performance than the other classifiers in the most models. The DWI-post + DWI-pre model with DT classifier and PCA feature selection achieved the highest AUC of 0.754 and the DWI-post + DWI-delta + T2-delta + C model with SVM classifier and LASSO feature selection achieved the suboptimal AUC of 0.734 in the external validation sets. CONCLUSION The multi-modal fusion model significantly outperforms conventional single-modal prediction models. The model could be used as a reliable and noninvasive tool for the personalized therapy in LARC patients.
Collapse
Affiliation(s)
- Xuwei Tian
- The First People's Hospital of Kashi, Kashi, Xinjiang 844000, China
| | - Ailin Ma
- The First People's Hospital of Kashi, Kashi, Xinjiang 844000, China
| | - Zhiqiang Jia
- The First People's Hospital of Kashi, Kashi, Xinjiang 844000, China
| | - Busare Ruzeaiti
- The First People's Hospital of Kashi, Kashi, Xinjiang 844000, China
| | - Guohua Liang
- School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong, 510515, China
| | - Hai Zeng
- The First Affiliated Hospital of Yangtze University, Jingzhou, Hubei, 434023, China.
| | - Yuanquan Wu
- The First People's Hospital of Kashi, Kashi, Xinjiang 844000, China.
| |
Collapse
|
2
|
Charbel C, Kwok HC, Miranda J, Zheng J, El Homsi M, El Amine MA, Chhabra S, Danilova S, Gangai N, Petkovska I, Capanu M, Vanguri RS, Chakraborty J, Horvat N. Reliability of rectal MRI radiomic features: Comparing rectal MRI radiomic features across reader expertise levels, image segmentation technique, and timing of rectal MRI in patients with locally advanced rectal cancer. Eur J Radiol 2025; 185:112019. [PMID: 40031376 DOI: 10.1016/j.ejrad.2025.112019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2024] [Revised: 02/09/2025] [Accepted: 02/25/2025] [Indexed: 03/05/2025]
Abstract
OBJECTIVES To assess the reliability of rectal MRI radiomic features across reader expertise level, image segmentation technique, and timing of rectal MRI. MATERIAL AND METHODS This retrospective single-institutional study included consecutive patients with rectal adenocarcinoma who underwent total neoadjuvant therapy from January 2018 to June 2018. Baseline and restaging rectal MRI T2-weighted images were segmented independently by six radiologists (two fellows, two non-rectal radiologists, and two rectal radiologists). Four segmentation strategies were used and varied by image segmentation technique and timing of rectal MRI: (a) baseline volume of interest (VOI), (b) baseline region of interest (ROI), (c) restaging VOI, and (d) restaging ROI. Inter-reader agreement on each extracted radiomic feature was evaluated using the intra-class correlation coefficient (ICC). RESULTS Among 24 patients (16 men; median age, 56 years [interquartile range: 49-62]), 1,595 radiomic features were extracted. Baseline VOI segmentation achieved the highest inter-reader agreement rate, with 68 % (1,079/1,595) of radiomic features having an ICC > 0.7. Restaging ROI segmentation achieved the worst inter-reader agreement rate, with only 26 % (415/1,595) of radiomic features having an ICC > 0.7. First-order statistics and Gray Level Co-occurrence Matrix (GLCM) feature subgroups showed high inter-reader agreement rates, and the application of 'Square Root' and 'LOG Sigma' filters resulted in improved inter-reader agreement rates relative to original images. The expertise level of radiologists performing the segmentations did not affect the distribution of inter-agreement rates according to image segmentation technique or timing of rectal MRI. CONCLUSIONS Radiomic features were more reliable when extracted from baseline (vs. restaging) rectal MRIs and using 3D volume of interest (vs. 2D region of interest) segmentation, independent of the expertise level of the radiologists performing the segmentation. CLINICAL RELEVANCE STATEMENT Radiomic studies on rectal MRI employ various segmentation strategies and few assess their impact on reproducibility. Establishing the optimal segmentation method enhances radiomics model generalizability, potentially bridging the gap in clinical translation and improving clinical management of patients.
Collapse
Affiliation(s)
- Charlotte Charbel
- Department of Radiology, Oncologic Imaging Division, NYU Langone Health, New York, NY, USA
| | - Henry C Kwok
- Department of Surgery, Faculty of Medicine and Health Science, The University of Auckland | Te Waipapa Taumata Rau, Auckland, Aotearoa, New Zealand; Department of Radiology, Counties Manukau District, Health New Zealand, Aotearoa, New Zealand
| | - Joao Miranda
- Department of Radiology, Mayo Clinic Rochester. 200 First Street SW, Rochester, MN 55905, USA; Department of Radiology, University of Sao Paulo, R. Dr. Ovídio Pires de Campos, 75 - Cerqueira César, São Paulo, SP 05403-010, Brazil
| | - Junting Zheng
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, USA.
| | - Mohammad Ali El Amine
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, USA.
| | - Shalini Chhabra
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, USA.
| | - Sofia Danilova
- Department of Radiology, Lenox Hill Hospital, Northwell Health, New York, NY, USA
| | - Natalie Gangai
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, USA.
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065, USA.
| | - Marinela Capanu
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| | - Rami S Vanguri
- Department of Medicine, NYU Grossman School of Medicine, Division of Precision Medicine, 227 E 30th St, New York, NY 10016, USA.
| | - Jayasree Chakraborty
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Natally Horvat
- Department of Radiology, Mayo Clinic Rochester. 200 First Street SW, Rochester, MN 55905, USA.
| |
Collapse
|
3
|
Nougaret S, Gormly K, Lambregts DMJ, Reinhold C, Goh V, Korngold E, Denost Q, Brown G. MRI of the Rectum: A Decade into DISTANCE, Moving to DISTANCED. Radiology 2025; 314:e232838. [PMID: 39772798 DOI: 10.1148/radiol.232838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2025]
Abstract
Over the past decade, advancements in rectal cancer research have reshaped treatment paradigms. Historically, treatment for locally advanced rectal cancer has focused on neoadjuvant long-course chemoradiotherapy, followed by total mesorectal excision. Interest in organ preservation strategies has been strengthened by the introduction of total neoadjuvant therapy with improved rates of complete clinical response. The administration of systemic induction chemotherapy and consolidation chemoradiotherapy in the neoadjuvant setting has introduced a new dimension to the treatment landscape and patients now face a more intricate decision-making process, given the expanded therapeutic options. This complexity underlines the importance of shared decision-making and brings to light the crucial role of radiologists. MRI, especially high-spatial-resolution T2-weighted imaging, is heralded as the reference standard for rectal cancer management because of its exceptional ability to provide staging and prognostic insights. A key evolution in MRI interpretation for rectal cancer is the transition from the DISTANCE mnemonic to the more encompassing DISTANCED-DIS, distal tumor boundary; T, T stage; A, anal sphincter complex; N, nodal status; C, circumferential resection margin; E, extramural venous invasion; D, tumor deposits. This nuanced shift in the mnemonic captures a wider range of diagnostic indicators. It also emphasizes the escalating role of radiologists in steering well-informed decisions in the realm of rectal cancer care.
Collapse
Affiliation(s)
- Stephanie Nougaret
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Kirsten Gormly
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Doenja M J Lambregts
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Caroline Reinhold
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Vicky Goh
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Elena Korngold
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Quentin Denost
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| | - Gina Brown
- From the Department of Radiology, Montpellier Cancer Institute, University of Montpellier, 208 av des Apothicaires, 34090 Montpellier, France (S.N.); PINKCC Laboratory, Montpellier Cancer Research Institute, University of Montpellier, Montpellier, France (S.N.); Jones Radiology, South Australia, Australia (K.G.); The University of Adelaide, South Australia, Australia (K.G.); Department of Radiology, The Netherlands Cancer Institute, Amsterdam, the Netherlands (D.M.J.L.); GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, the Netherlands (D.M.J.L.); Department of Radiology, McGill University, Montreal, Quebec, Canada (C.R.); Department of Radiology, Guy's and St Thomas NHS Foundation Trust, London, United Kingdom (V.G.); School of Biomedical Engineering and Imaging Sciences, King's College London, King's Health Partners, London, United Kingdom (V.G.); Department of Radiology, Oregon Health & Science University, Portland, Ore (E.K.); Bordeaux Colorectal Institute, Bordeaux, France (Q.D.); Department of Radiology, Royal Marsden, London, United Kingdom (G.B.); Department of Radiology, Imperial College London, London, United Kingdom (G.B.)
| |
Collapse
|
4
|
Wale A, Bernier L, Tait D, Rao S, Brown G. Simple imaging biomarker predicts survival in anal squamous cell cancer treated with curative intent: a UK cohort study. Clin Radiol 2025; 80:106718. [PMID: 39504888 DOI: 10.1016/j.crad.2024.10.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 09/26/2024] [Accepted: 10/01/2024] [Indexed: 11/08/2024]
Abstract
AIM This study aimed to determine the prognostic significance of length of tumour (mrT stage) and depth of extramural spread (mrEMS) in anal squamous cell cancer (SCC) treated by chemoradiation with curative intent. Locally advanced anal SCC (T3-4 N+) have poorer prognosis, but it is unknown whether the lateral spread of the tumour (extramural spread beyond the bowel wall) also confers poor prognosis in anal SCC, as it does for rectal cancer. T stage and mrEMS can be readily assessed by pelvic magnetic resonance imaging (MRI) routinely undertaken to stage anal SCC. MATERIALS AND METHODS 125 patients were included. Baseline mrT, mrN and mrEMS were assessed with response to chemoradiation and outcomes. Receiver operating curve (ROC) curve was used to determine a binary cut-off for mrEMS according to 3-year progression- free survival (PFS). RESULTS 43% were mrT3-4 and 38% were mrEMSpoor at baseline. 87% achieved mrCR. 3-year PFS and overall survival (OS) were 70.6% and 82%. On univariate analysis worse 3-year PFS was seen for mrT3-4 (HR 3.105), mrEMSpoor (HR 4.924) and failure to achieve mrCR (HR 20.591). By univariate analysis, worse 3-year OS was seen for mrT3-4 (HR 4.134), mrEMSpoor (HR 10.251) and failure to achieve mrCR (HR 19.289). On multivariate analysis, only mrEMSpoor and failure to achieve mrCR remained prognostic. mrN was not prognostic. CONCLUSION MrEMSpoor is a simple prognostic imaging biomarker for poorer survival which can be readily assessed by radiologists on routine imaging. mrEMS should be considered as a future stratification variable to identify high-risk SCC and consider escalation of treatment and surveillance strategies.
Collapse
Affiliation(s)
- A Wale
- St George's NHS Foundation Trust (Department of Radiology), Blackshaw Rd, London SW17 0QT, UK; St George's University of London (Molecular and Clinical Sciences Research Institute), Cranmer Terrace, London SW17 0RE, UK.
| | - L Bernier
- Radiation Oncology Service, Centre Hospitalier Universitaire de Québec, Québec, Canada, G1R 2J6.
| | - D Tait
- Radiotherapy Department, Royal Marsden Hospital, Downs Road, Sutton, Surrey, SM2 5PT, UK.
| | - S Rao
- Gastrointestinal Unit, Royal Marsden Hospital, Downs Road Sutton, Surrey, SM2 5PT, UK.
| | - G Brown
- Imperial College London (Department of Surgery and Cancer), Department of Surgery and Cancer, Imperial College, Room BN1/2, B Block 1st Floor, Hammersmith Campus, Imperial College, Du Cane Road, W12 0HS, UK.
| |
Collapse
|
5
|
Rydbeck D, Azhar N, Blomqvist L, Chabok A, Folkesson J, Gerdin A, Hermus L, Matthiessen P, Martling A, Nilsson PJ, Angenete E. Short-term outcomes from the 'Watch and Wait' (WoW) study: prospective cohort study. BJS Open 2024; 9:zrae151. [PMID: 39851200 PMCID: PMC11758366 DOI: 10.1093/bjsopen/zrae151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2024] [Accepted: 11/10/2024] [Indexed: 01/26/2025] Open
Abstract
BACKGROUND Despite absence of level 1 evidence on the long-term oncological safety of non-operative management for rectal cancer (watch and wait), increased implementation has occurred globally over the past decades. In Sweden, a pan-national prospective non-randomized study was initiated in 2017 to assess its implementation. METHOD Patients with biopsy-proven rectal cancer receiving neoadjuvant therapy according to national guidelines in whom a clinical complete response was detected at reassessment were eligible for inclusion following informed consent. Only patients with an opportunistic watch-and-wait approach were included. Inclusion and follow-up, according to the study protocol, was managed at the participating study centres. The primary outcome measure of the study is 3-year disease-free survival. Here, the secondary short-term outcomes local regrowth rate, distant metastasis rate and outcomes after surgery for regrowth, at 6 months follow-up, are reported. RESULTS Between January 2017 and February 2023, 211 patients with a clinical complete response were included in the study. Thirty-three (16%) patients developed suspicious regrowth within 6 months of inclusion. Thirty-two of 33 patients had abdominal resectional surgery for regrowth. The curative intention rate was 94% for patients with regrowth. Three patients (1.4%) developed distant metastases within 6 months of inclusion. CONCLUSION This Swedish national study on watch and wait reports regrowth rates after 6 months are in line with previous reports in the literature. Nearly all patients with early regrowth could be treated with salvage surgery and curative intent.
Collapse
Affiliation(s)
- Daniel Rydbeck
- Department of Surgery, SSORG—Scandinavian Surgical Outcomes Research Group, Institute of Clinical Sciences, Sahlgrenska Academy University of Gothenburg, Gothenburg, Sweden
- Department of Surgery, Region Västra Götaland, Sahlgrenska Universitetssjukhuset, Gothenburg, Sweden
| | - Najia Azhar
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Surgery, Skåne University Hospital, Malmö, Sweden
| | - Lennart Blomqvist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden
- Department of Radiation Physics/Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Abbas Chabok
- Centre for Clinical Research, Region Västmanland, Uppsala University, Uppsala, Sweden
- Department of Surgery, Västmanland Hospital, Västerås, Sweden
| | - Joakim Folkesson
- Department of Surgical Sciences, Uppsala University, Uppsala, Sweden
- Department of Surgery, Uppsala University Hospital, Uppsala, Sweden
| | - Anders Gerdin
- Department of Surgery, Umeå University Hospital, Umeå, Sweden
- Department of Diagnostics and Intervention Surgery, Umeå University, Umeå, Sweden
| | - Linda Hermus
- Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
- Department of Surgery, Linköping University Hospital, Linköping, Sweden
| | - Peter Matthiessen
- Department of Surgery, Faculty of Medicine and Health Sciences, Örebro University, Örebro, Sweden
- Department of Surgery, Örebro University Hospital, Örebro, Sweden
| | - Anna Martling
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden
- Department of Pelvic Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Per J Nilsson
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Solna, Sweden
- Department of Pelvic Cancer, Karolinska University Hospital, Stockholm, Sweden
| | - Eva Angenete
- Department of Surgery, SSORG—Scandinavian Surgical Outcomes Research Group, Institute of Clinical Sciences, Sahlgrenska Academy University of Gothenburg, Gothenburg, Sweden
- Department of Surgery, Region Västra Götaland, Sahlgrenska Universitetssjukhuset, Gothenburg, Sweden
| |
Collapse
|
6
|
Miranda J, Heiselman JS, Firat C, Chakraborty J, Vanguri RS, Assuncao AN, Nincevic J, Kim TH, Rodriguez L, Urganci N, Gonen M, Garcia-Aguilar J, Gollub MJ, Shia J, Horvat N. Deformable Mapping of Rectal Cancer Whole-Mount Histology with Restaging MRI at Voxel Scale: A Feasibility Study. Radiol Imaging Cancer 2024; 6:e240073. [PMID: 39452890 PMCID: PMC11615632 DOI: 10.1148/rycan.240073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2024] [Revised: 07/24/2024] [Accepted: 09/09/2024] [Indexed: 10/26/2024]
Abstract
Purpose To develop a radiology-pathology coregistration method for 1:1 automated spatial mapping between preoperative rectal MRI and ex vivo rectal whole-mount histology (WMH). Materials and Methods This retrospective study included consecutive patients with rectal adenocarcinoma who underwent total neoadjuvant therapy followed by total mesorectal excision with preoperative rectal MRI and WMH from January 2019 to January 2022. A gastrointestinal pathologist and a radiologist established three corresponding levels for each patient at rectal MRI and WMH, subsequently delineating external and internal rectal wall contours and the tumor bed at each level and defining eight point-based landmarks. An advanced deformable image coregistration model based on the linearized iterative boundary reconstruction (LIBR) approach was compared with rigid point-based registration (PBR) and state-of-the-art deformable intensity-based multiscale spectral embedding registration (MSERg). Dice similarity coefficient (DSC), modified Hausdorff distance (MHD), and target registration error (TRE) across patients were calculated to assess the coregistration accuracy of each method. Results Eighteen patients (mean age, 54 years ± 13 [SD]; nine female) were included. LIBR demonstrated higher DSC versus PBR for external and internal rectal wall contours and tumor bed (external: 0.95 ± 0.03 vs 0.86 ± 0.04, respectively, P < .001; internal: 0.71 ± 0.21 vs 0.61 ± 0.21, P < .001; tumor bed: 0.61 ± 0.17 vs 0.52 ± 0.17, P = .001) and versus MSERg for internal rectal wall contours (0.71 ± 0.21 vs 0.63 ± 0.18, respectively; P < .001). LIBR demonstrated lower MHD versus PBR for external and internal rectal wall contours and tumor bed (external: 0.56 ± 0.25 vs 1.68 ± 0.56, respectively, P < .001; internal: 1.00 ± 0.35 vs 1.62 ± 0.59, P < .001; tumor bed: 2.45 ± 0.99 vs 2.69 ± 1.05, P = .03) and versus MSERg for internal rectal wall contours (1.00 ± 0.35 vs 1.62 ± 0.59, respectively; P < .001). LIBR demonstrated lower TRE (1.54 ± 0.39) versus PBR (2.35 ± 1.19, P = .003) and MSERg (2.36 ± 1.43, P = .03). Computation time per WMH slice for LIBR was 35.1 seconds ± 12.1. Conclusion This study demonstrates feasibility of accurate MRI-WMH coregistration using the advanced LIBR method. Keywords: MR Imaging, Abdomen/GI, Rectum, Oncology Supplemental material is available for this article. © RSNA, 2024.
Collapse
Affiliation(s)
| | | | - Canan Firat
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Jayasree Chakraborty
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Rami S. Vanguri
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Antonildes N. Assuncao
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Josip Nincevic
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Tae-Hyung Kim
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Lee Rodriguez
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Nil Urganci
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Mithat Gonen
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Julio Garcia-Aguilar
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Marc J. Gollub
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Jinru Shia
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| | - Natally Horvat
- From the Departments of Radiology (J.M., J.N., T.H.K., L.R., M.J.G.,
N.H.), Surgery (J.S.H., J.C., M.G., J.G.A.), and Pathology (C.F., N.U., J.S.),
Memorial Sloan-Kettering Cancer Center, 1275 York Ave, New York, NY 10065;
Department of Radiology, University of São Paulo, São Paulo,
Brazil (J.M., A.N.A., N.H.); Department of Medicine, Division of Precision
Medicine, NYU Grossman School of Medicine, New York, NY (R.S.V.); Department of
Biomedical Engineering, Vanderbilt University, Nashville, Tenn (J.S.H.);
Research and Education Institute, Hospital Sirio-Libanes, São Paulo,
Brazil (A.N.A.); and Department of Radiology, Mayo Clinic, Rochester, Minn
(J.M., N.H.)
| |
Collapse
|
7
|
Guo T, Liu K, Guo Y, Zhang H, Zhu Z, Huang D, Cai S, Tong T, Zhou X, Xu Y. CapeOX as neoadjuvant chemotherapy for locally advanced rectal cancer: might less be more? BMC Cancer 2024; 24:1248. [PMID: 39385125 PMCID: PMC11463052 DOI: 10.1186/s12885-024-12972-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2024] [Accepted: 09/20/2024] [Indexed: 10/11/2024] Open
Abstract
BACKGROUND Locally advanced rectal cancer (LARC) poses unique challenges in treatment, with current neoadjuvant chemoradiotherapy (NA-CRT) showing limitations. The CapeOX regimen emerges as a potential less aggressive neoadjuvant chemotherapy (NAC) for LARC. METHODS We conducted a retrospective study involving treatment-naïve patients with LARC from March 2014 to March 2021 who received 2-4 cycles of CapeOX NAC followed by radical surgery. Treatment response was evaluated using tumor regression grade (TRG), MRI-based TRG (MRI-TRG), and Neoadjuvant Rectal (NAR) score. RESULTS 94.7% of patients experienced symptom improvement and 96.4% achieved sphincter-preserving surgery. Post-NAC showed significant tumor regression and MRI confirmed a tumor length reduction (P < 0.001). Clinical and pathological staging discrepancies post-NAC suggest broader therapeutic advantages. 5-year overall and disease-free survival rates were 78.4% and 73.4%. NAR scores provided better prognostic accuracy than MRI-TRG. CONCLUSION CapeOX NAC presents notable benefits for LARC patients and its clinical significance may be underestimated. The NAR score demonstrates superior prognostic value over MRI-TRG.
Collapse
Affiliation(s)
- Tianan Guo
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Kai Liu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yang Guo
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Huan Zhang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Imaging, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Zhonglin Zhu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Dan Huang
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Sanjun Cai
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tong Tong
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Department of Imaging, Fudan University Shanghai Cancer Center, Shanghai, China.
| | - Xiaoyan Zhou
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China.
| | - Ye Xu
- Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| |
Collapse
|
8
|
Stanietzky N, Morani A, Surabhi V, Jensen C, Horvat N, Vikram R. Mucinous Rectal Adenocarcinoma-Challenges in Magnetic Resonance Imaging Interpretation. J Comput Assist Tomogr 2024; 48:683-692. [PMID: 38446711 DOI: 10.1097/rct.0000000000001599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
ABSTRACT Mucinous rectal cancer (MRC) is defined by the World Health Organization as an adenocarcinoma with greater than 50% mucin content. Classic teaching suggests that it carries a poorer prognosis than conventional rectal adenocarcinoma. This poorer prognosis is thought to be related to mucin dissecting through tissue planes at a higher rate, thus increasing the stage of disease at presentation. Developments in immunotherapy have bridged much of this prognostic gap in recent years. Magnetic resonance imaging is the leading modality in assessing the locoregional spread of rectal cancer. Mucinous rectal cancer carries unique imaging challenges when using this modality. Much of the difficulty lies in the inherent increased T2-weighted signal of mucin on magnetic resonance imaging. This creates difficulty in differentiating mucin from the adjacent background fat, making the detection of both the primary disease process as well as the locoregional spread challenging. Computed tomography scan can act as a valuable companion modality as mucin tends to be more apparent in the background fat. After therapy, diagnostic challenges remain. Mucin is frequently present, and distinguishing cellular from acellular mucin can be difficult. In this article, we will discuss each of these challenges and present examples of such situations and strategies that can be used to overcome them.
Collapse
Affiliation(s)
- Nir Stanietzky
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Ajaykumar Morani
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Venkateswar Surabhi
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Corey Jensen
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Raghu Vikram
- From the Department of Radiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| |
Collapse
|
9
|
Williams H, Omer DM, Thompson HM, Lin ST, Verheij FS, Miranda J, Yuval JB, Buckley J, Marco MR, Qin LX, Dombroski DA, Kedar R, Oto A, Korngold E, Veniero JC, Gandhi S, Krishnaraj A, Jagtiani M, Ohanian K, Vu D, Hope TA, Lee S, Wasnik AP, Madhuripan N, Gollub MJ, Garcia-Aguilar J. MRI Predicts Residual Disease and Outcomes in Watch-and-Wait Patients with Rectal Cancer. Radiology 2024; 312:e232748. [PMID: 39225603 PMCID: PMC11427875 DOI: 10.1148/radiol.232748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/04/2024]
Abstract
Background MRI plays a crucial role in restaging locally advanced rectal cancer treated with total neoadjuvant therapy (TNT); however, prospective studies have not evaluated its ability to accurately select patients for nonoperative management. Purpose To evaluate the ability of restaging MRI to predict oncologic outcomes and identify imaging features associated with residual disease (RD) after TNT. Materials and Methods This was a secondary analysis of the Organ Preservation in Rectal Adenocarcinoma (OPRA) trial, which randomized participants from April 2014 to March 2020 with stages II or III rectal adenocarcinoma to undergo either induction or consolidation TNT. Participants enrolled in the OPRA trial who underwent restaging MRI were eligible for inclusion in the present study. Radiologists classified participants as having clinical complete response (cCR), near-complete clinical response (nCR), or incomplete clinical response (iCR) based on restaging MRI at a mean of 8 weeks ± 4 (SD) after treatment. Oncologic outcomes according to MRI response category were assessed using Kaplan-Meier curves. Logistic regression analysis was performed to identify imaging characteristics associated with RD. Results A total of 277 participants (median age, 58 years [IQR, 17 years]; 179 male) who were randomized in the OPRA trial had restaging MRI forms completed. The median follow-up duration was 4.1 years. Participants with cCR had higher rates of organ preservation compared with those with nCR (65.3% vs 41.6%, log-rank P < .001). Five-year disease-free survival for participants with cCR, nCR, and iCR was 81.8%, 67.6%, and 49.6%, respectively (log-rank P < .001). The MRI response category also predicted overall survival (log-rank P < .001), distant recurrence-free survival (log-rank P = .005), and local regrowth (log-rank P = .02). Among the 266 participants with at least 2 years of follow-up, 129 (48.5%) had RD. At multivariable analysis, the presence of restricted diffusion (odds ratio, 2.50; 95% CI: 1.22, 5.24) and abnormal nodal morphologic features (odds ratio, 5.04; 95% CI: 1.43, 23.9) remained independently associated with RD. Conclusion The MRI response category was predictive of organ preservation and survival. Restricted diffusion and abnormal nodal morphologic features on restaging MRI scans were associated with increased likelihood of residual tumor. ClinicalTrials.gov identifier: NCT02008656 © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Milot in this issue.
Collapse
Affiliation(s)
- Hannah Williams
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Dana M Omer
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Hannah M Thompson
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Sabrina T Lin
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Floris S Verheij
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Joao Miranda
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Jonathan B Yuval
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - James Buckley
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Michael R Marco
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Li-Xuan Qin
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - David A Dombroski
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Rajendra Kedar
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Aytekin Oto
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Elena Korngold
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Joseph C Veniero
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Sunil Gandhi
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Arun Krishnaraj
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Minal Jagtiani
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Kirk Ohanian
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Dan Vu
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Thomas A Hope
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Sonia Lee
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Ashish P Wasnik
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Nikhil Madhuripan
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Marc J Gollub
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| | - Julio Garcia-Aguilar
- From the Departments of Surgery, Colorectal Service (H.W., D.M.O., H.M.T., F.S.V., J.B.Y., J.B., M.R.M., J.G.A.), Epidemiology and Biostatistics (S.T.L., L.X.Q.), and Radiology (J.M., M.J.G.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; Department of Radiology, University of Rochester Medical Center, Rochester, NY (D.A.D.); Department of Radiology, University of South Florida, Tampa, Fla (R.K.); Department of Radiology, University of Chicago, Chicago, Ill (A.O.); Department of Radiology, Oregon Health and Science University, Portland, Ore (E.K.); Department of Radiology, Cleveland Clinic, Cleveland, Ohio (J.C.V.); Department of Radiology, John Muir Health, Walnut Creek, Calif (S.G.); Department of Radiology, University of Virginia, Charlottesville, Va (A.K.); Department of Radiology, University of Washington, Seattle, Wash (M.J.); Department of Radiology, St Joseph Hospital Orange County, Orange, Calif (K.O., D.V.); Department of Radiology, University of California San Francisco, San Francisco, Calif (T.A.H.); Department of Radiology, University of California Irvine, Irvine, Calif (S.L.); Department of Radiology, University of Michigan, Ann Arbor, Mich (A.P.W.); and Department of Radiology, University of Colorado Anschutz Medical Campus, Aurora, Colo (N.M.)
| |
Collapse
|
10
|
Li Z, Yuan Y, Liu M, Bo T, Ma X, Wang H, Chen C, Shi X, Wang H, Bai C, Ni X, Shao C, Lu Y, Lu J, Shen F. Rectal adenocarcinoma: Ex vivo 9.4T MRI-correlation with histopathologic treatment response to neoadjuvant chemoradiotherapy. Cancer Med 2024; 13:e70075. [PMID: 39087899 PMCID: PMC11293138 DOI: 10.1002/cam4.70075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Revised: 04/24/2024] [Accepted: 07/23/2024] [Indexed: 08/02/2024] Open
Abstract
OBJECTIVES To determine the imaging details and diagnostic information of the treatment response to neoadjuvant chemoradiotherapy (nCRT) of rectal adenocarcinoma at 9.4T magnetic resonance imaging (MRI) by ex vivo. METHODS Fifteen cases with locally advanced rectal cancer (LARC) followed by radical surgery after nCRT between September 2022 and February 2023 were recruited. Resected specimens were fixed in a perfluoropolyether-filled test tube and scanned with a 3.0T and 9.4T MRI system ex vivo. The residual tumor depth and MRI-based tumor regression grade (TRG) were subjectively assessed and then compared with the pathological findings. RESULTS The ex vivo 9.4T T2WI without fat suppression clearly differentiated tumor tissue, fibrosis and normal rectal wall, which clearly corresponded to the pathologic tissues of the rectal specimens. The TRG could be accurately assessed on ex vivo 9.4T images in 13/15 specimens (86.7%), while in 11/15 specimens (73.3%) on ex vivo 3.0T images. CONCLUSION Ex vivo 9.4T MR imaging clearly displayed the components of rectal wall and proved excellent diagnostic performance for evaluating the treatment response to nCRT, which allow radiologists to understand and then assess more accurately the TRG of LARC after nCRT.
Collapse
Affiliation(s)
- Zhihui Li
- Department of Radiology, Ruijin Hospital Luwan BranchShanghai Jiaotong University School of MedicineShanghaiChina
| | - Yuan Yuan
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Minglu Liu
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Tingting Bo
- Department of Radiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
- Department of Endocrine and Metabolic DiseasesShanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of MedicineShanghaiChina
- Clinical Neuroscience Center, Ruijin Hospital Luwan BranchShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xiaolu Ma
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Hanqi Wang
- Department of Radiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Chen Chen
- United Imaging HealthcareShanghaiChina
| | - Xiaohui Shi
- Department of Colorectal Surgery, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Hao Wang
- Department of Colorectal Surgery, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Chenguang Bai
- Department of Pathology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Xiang Ni
- Department of Pathology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Chengwei Shao
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Yong Lu
- Department of Radiology, Ruijin HospitalShanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jianping Lu
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| | - Fu Shen
- Department of Radiology, Changhai HospitalThe Navy Medical UniversityShanghaiChina
| |
Collapse
|
11
|
Pollom E, Sheth VR, Dawes AJ, Holden T. Nonoperative Management for Rectal Cancer. Cancer J 2024; 30:238-244. [PMID: 39042774 PMCID: PMC11486344 DOI: 10.1097/ppo.0000000000000727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/25/2024]
Abstract
ABSTRACT The treatment paradigm for rectal cancer has been shifting toward de-escalated approaches to preserve patient quality of life. Historically, the standard treatment in the United States for locally advanced rectal cancer has standardly comprised preoperative chemoradiotherapy coupled with total mesorectal excision. Recent data challenge this "one-size-fits-all" strategy, supporting the possibility of omitting surgery for certain patients who achieve a clinical complete response to neoadjuvant therapy. Consequently, patients and their physicians must navigate diverse neoadjuvant options, often in the context of pursuing organ preservation. Total neoadjuvant therapy, involving the administration of all chemotherapy and radiation before total mesorectal excision, is associated with the highest rates of clinical complete response. However, questions persist regarding the optimal sequencing of radiation and chemotherapy and the choice between short-course and long-course radiation. Additionally, meticulous response assessment and surveillance are critical for selecting patients for nonoperative management without compromising the excellent cure rates associated with trimodality therapy. As nonoperative management becomes increasingly recognized as a standard-of-care treatment option for patients with rectal cancer, ongoing research in patient selection and monitoring as well as patient-reported outcomes is critical to guide personalized rectal cancer management within a patient-centered framework.
Collapse
Affiliation(s)
- Erqi Pollom
- Department of Radiation Oncology, Stanford School of Medicine
| | - Vipul R. Sheth
- Body MRI Division, Department of Radiology, Stanford School of Medicine
| | - Aaron J. Dawes
- Section of Colon & Rectal Surgery, Department of Surgery, Stanford University School of Medicine
- Stanford-Surgical Policy Improvement Research and Education Center, Department of Surgery, Stanford University School of Medicine
| | | |
Collapse
|
12
|
El Homsi M, Bercz A, Chahwan S, Fernandes MC, Javed-Tayyab S, Golia Pernicka JS, Nincevic J, Paroder V, Ruby L, Smith JJ, Petkovska I. Watch & wait - Post neoadjuvant imaging for rectal cancer. Clin Imaging 2024; 110:110166. [PMID: 38669916 PMCID: PMC11090716 DOI: 10.1016/j.clinimag.2024.110166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 04/28/2024]
Abstract
Rectal cancer management has evolved over the past decade with the emergence of total neoadjuvant therapy (TNT). For select patients who achieve a clinical complete response following TNT, organ preservation by means of the watch-and-wait (WW) strategy is an increasingly adopted alternative that preserves rectal function and quality of life without compromising oncologic outcomes. Recently, published 5-year results from the OPRA trial demonstrated that organ preservation can be achieved in approximately half of patients managed with the WW strategy, with most local regrowth events occurring within two years. Considering the potential for local regrowth, the implementation of the WW strategy mandates rigorous clinical and radiographic surveillance. Magnetic resonance imaging (MRI) serves as the conventional imaging modality for local staging and surveillance of rectal cancer given its excellent soft-tissue resolution. This review will discuss the current evidence for the WW strategy and the role of restaging rectal MRI in determining patient eligibility for this strategy. Restaging rectal MRI acquisition parameters and treatment response assessment, including important factors to assess, pitfalls, and classification systems, will be discussed in the context of the WW strategy.
Collapse
Affiliation(s)
- Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Aron Bercz
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Stephanie Chahwan
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Maria Clara Fernandes
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Sidra Javed-Tayyab
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Jennifer S Golia Pernicka
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Josip Nincevic
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Viktoriya Paroder
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Lisa Ruby
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - J Joshua Smith
- Department of Surgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
| |
Collapse
|
13
|
Lee YD, Kim HG, Seo M, Moon SK, Park SJ, You MW. Machine learning-based response assessment in patients with rectal cancer after neoadjuvant chemoradiotherapy: radiomics analysis for assessing tumor regression grade using T2-weighted magnetic resonance images. Int J Colorectal Dis 2024; 39:78. [PMID: 38789861 PMCID: PMC11126485 DOI: 10.1007/s00384-024-04651-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2024] [Indexed: 05/26/2024]
Abstract
PURPOSE This study aimed to assess tumor regression grade (TRG) in patients with rectal cancer after neoadjuvant chemoradiotherapy (NCRT) through a machine learning-based radiomics analysis using baseline T2-weighted magnetic resonance (MR) images. MATERIALS AND METHODS In total, 148 patients with locally advanced rectal cancer(T2-4 or N+) who underwent MR imaging at baseline and after chemoradiotherapy between January 2010 and May 2021 were included. A region of interest for each tumor mass was drawn by a radiologist on oblique axial T2-weighted images, and main features were selected using principal component analysis after dimension reduction among 116 radiomics and three clinical features. Among eight learning models that were used for prediction model development, the model showing best performance was selected. Treatment responses were classified as either good or poor based on the MR-assessed TRG (mrTRG) and pathologic TRG (pTRG). The model performance was assessed using the area under the receiver operating curve (AUROC) to classify the response group. RESULTS Approximately 49% of the patients were in the good response (GR) group based on mrTRG (73/148) and 26.9% based on pTRG (28/104). The AUCs of clinical data, radiomics models, and combined radiomics with clinical data model for predicting mrTRG were 0.80 (95% confidence interval [CI] 0.73, 0.87), 0.74 (95% CI 0.66, 0.81), and 0.75(95% CI 0.68, 0.82), and those for predicting pTRG was 0.62 (95% CI 0.52, 0.71), 0.74 (95% CI 0.65, 0.82), and 0.79 (95% CI 0.71, 0.87). CONCLUSION Radiomics combined with clinical data model using baseline T2-weighted MR images demonstrated feasible diagnostic performance in predicting both MR-assessed and pathologic treatment response in patients with rectal cancer after NCRT.
Collapse
Affiliation(s)
- Yong Dae Lee
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, #23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
- Department of Medicine, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
| | - Hyug-Gi Kim
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, #23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
| | - Miri Seo
- Department of Medicine, Kyung Hee University College of Medicine, 23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
| | - Sung Kyoung Moon
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, #23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
| | - Seong Jin Park
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, #23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea
| | - Myung-Won You
- Department of Radiology, Kyung Hee University Hospital, Kyung Hee University College of Medicine, #23 Kyungheedae-ro, Dongdaemun-gu, 02447, Seoul, Republic of Korea.
| |
Collapse
|
14
|
Marjasuo S, Koskenvuo L, Lepistö A. Findings in magnetic resonance imaging for restaging locally advanced rectal cancer. Int J Colorectal Dis 2024; 39:23. [PMID: 38289485 PMCID: PMC10827956 DOI: 10.1007/s00384-024-04595-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/23/2024] [Indexed: 02/01/2024]
Abstract
PURPOSE We aimed to assess the prognostic value of restaging magnetic resonance imaging (MRI) in rectal cancer after neoadjuvant therapy and compare long-course chemoradiotherapy (LC-CRT) to short-course radiotherapy with delayed surgery (SCRT-delay). METHODS This retrospective study included 267 patients with locally advanced rectal cancer (LARC) operated on between January 2016 and April 2019, all of whom received either LC-CRT or SCRT-delay in the neoadjuvant setting. The primary outcomes were overall survival (OS) and cancer-specific survival (CSS) based on radiological response assessed using the magnetic resonance tumor regression grade (mrTRG). RESULTS In the LC-CRT group, cumulative 1-, 3-, and 5-year OS rates were 94.8%, 86.4%, and 79.0%, while in the SCRT-delay group, they were 83.3%, 68.9%, and 68.9% (P = 0.017). For CSS in the LC-CRT group, cumulative rates were 96.9%, 90.3%, and 85.0%, and in the SCRT-delay group, they were 88.6%, 81.4%, and 81.4% (P = 0.222). There were no significant differences in total histological response rates or local recurrence rates between the treatment groups. The good and moderate response group (mrTRG 1-3) had significantly better cumulative 1-, 3-, and 5-year OS and CSS compared to the poorer response group (mrTRG 4-5) (P = 0.023 for OS and P = 0.048 for CSS). CONCLUSION Unfavorable MRI response is a sign of poor prognosis in LARC. SCRT-delay is comparable to LC-CRT concerning the oncological outcome.
Collapse
Affiliation(s)
- Suvi Marjasuo
- Radiology, HUS Diagnostic Center, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
- Tays Central Hospital, Imaging Services, PL 2000, 33521, Tampere, Finland.
| | - Laura Koskenvuo
- Gastroenterological Surgery, Helsinki University Hospital, Helsinki, Finland
| | - Anna Lepistö
- Department of Surgery, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
- Applied Tumor Genomics, Research Programs Unit Organization, University of Helsinki, Helsinki, Finland
| |
Collapse
|
15
|
Katdare AN, Baheti AD, Pangarkar SY, Mistry KA, Ankathi SK, Haria PD, Choudhari AJ, Guha A, Gala K, Shetty N, Kulkarni S, Ramadwar M, Bal M. Evaluation of an Objective MRI-Based Tumor Regression Grade (mrTRG) Score and a Subjective Likert Score for Assessing Treatment Response in Locally Advanced Rectal Cancers-A Retrospective Study. Indian J Radiol Imaging 2024; 34:69-75. [PMID: 38106857 PMCID: PMC10723953 DOI: 10.1055/s-0043-1772695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023] Open
Abstract
Purpose: Magnetic resonance imaging (MRI) with the help of MRI-based tumor regression grade (mrTRG) score has been used as a tool to predict pathological tumor regression grade (pTRG) in patients of rectal cancer post-neoadjuvant chemoradiation. Our study aims to evaluate the ability of MRI in assessing treatment response comparing an objective mrTRG score and a subjective Likert score, with a focus on the ability to predict pathologic complete response (pCR). Methods: Post-treatment MRI studies were retrospectively reviewed for 170 consecutive cases of histopathologically proven rectal cancer after receiving neoadjuvant chemoradiation and prior to surgery by two oncoradiologists blinded to the eventual postoperative histopathology findings. An objective (mrTRG) and a subjective Likert score were assigned to all the cases. Receiver operating characteristic curves were constructed to determine the ability of Likert scale and mrTRG to predict pCR, with postoperative histopathology being the gold standard. The optimal cutoff points on the scale of 1 to 5 were obtained for mrTRG and Likert scale with the greatest sum of sensitivity and specificity using the Youden Index. Results: The most accurate cutoff point for the mrTRG to predict complete response was 2.5 (using Youden index), with a sensitivity of 69.2%, specificity of 69.6%, positive predictive value (PPV) of 85.6%, negative predictive value (NPV) of 46.4%, and accuracy of 69.3%. The most accurate cutoff for the Likert scale to predict complete response was 3.5, with a sensitivity of 47.5%, specificity of 89.1%, PPV of 91.9%, NPV of 39.4%, and accuracy of 59%. mrTRG had a lower cutoff and was more accurate in predicting pCR compared to Likert score. Conclusion: An objective mrTRG was more accurate than a subjective Likert scale to predict complete response in our study.
Collapse
Affiliation(s)
- Aparna N Katdare
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Akshay D Baheti
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sayali Y Pangarkar
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kunal A Mistry
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suman K Ankathi
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Purvi D Haria
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Amit J Choudhari
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Amrita Guha
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Kunal Gala
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Nitin Shetty
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Suyash Kulkarni
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, Maharashtra, India
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Mukta Ramadwar
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Munita Bal
- Homi Bhabha National Institute, Mumbai, Maharashtra, India
- Department of Pathology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| |
Collapse
|
16
|
Miranda J, Causa Andrieu P, Nincevic J, Gomes de Farias LDP, Khasawneh H, Arita Y, Stanietzky N, Fernandes MC, De Castria TB, Horvat N. Advances in MRI-Based Assessment of Rectal Cancer Post-Neoadjuvant Therapy: A Comprehensive Review. J Clin Med 2023; 13:172. [PMID: 38202179 PMCID: PMC10780006 DOI: 10.3390/jcm13010172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/14/2023] [Accepted: 12/21/2023] [Indexed: 01/12/2024] Open
Abstract
Rectal cancer presents significant diagnostic and therapeutic challenges, with neoadjuvant therapy playing a pivotal role in improving resectability and patient outcomes. MRI serves as a critical tool in assessing treatment response. However, differentiating viable tumor tissue from therapy-induced changes on MRI remains a complex task. In this comprehensive review, we explore treatment options for rectal cancer based on resectability status, focusing on the role of MRI in guiding therapeutic decisions. We delve into the nuances of MRI-based evaluation of treatment response following neoadjuvant therapy, paying particular attention to emerging techniques like radiomics. Drawing from our insights based on the literature, we provide essential recommendations for post-neoadjuvant therapy management of rectal cancer, all within the context of MRI-based findings.
Collapse
Affiliation(s)
- Joao Miranda
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
- Department of Radiology, University of Sao Paulo, R. Dr. Ovidio Pires de Campos, 75 Cerqueira Cesar, Sao Paulo 05403-010, Brazil
| | - Pamela Causa Andrieu
- Department of Radiology, Mayo Clinic, 200 First St. SW, Rochester, MN 55905, USA;
| | - Josip Nincevic
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
| | - Lucas de Padua Gomes de Farias
- Department of Radiology, Hospital Sirio-Libanes, Rua Dona Adma Jafet, 91—Bela Vista, Sao Paulo 01308-050, Brazil;
- Department of Radiology, Allianca Saude, Av. Pres. Juscelino Kubitschek, 1830, Sao Paulo 01308-050, Brazil
| | - Hala Khasawneh
- Department of Radiology, University of Texas Southwestern, 5323 Harry Hines Blvd, Dallas, TX 75390, USA;
| | - Yuki Arita
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
- Department of Radiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Nir Stanietzky
- Division of Diagnostic Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Maria Clara Fernandes
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
| | - Tiago Biachi De Castria
- Department of Gastrointestinal Oncology, Moffit Cancer Center, 12902 USF Magnolia Drive, Tampa, FL 33612, USA;
- Morsani College of Medicine, University of South Florida, 4202 E. Fowler Avenue, Tampa, FL 33620, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA; (J.N.); (Y.A.); (M.C.F.)
| |
Collapse
|
17
|
Patel S, Ankathi S, Haria P, Kazi M, Desouza AL, Saklani A. Impact of consolidation chemotherapy in poor responders to neoadjuvant radiation therapy: magnetic resonance imaging-based clinical-radiological correlation in high-risk rectal cancers. Ann Coloproctol 2023; 39:474-483. [PMID: 38124365 PMCID: PMC10781604 DOI: 10.3393/ac.2023.00080.0011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 04/06/2023] [Accepted: 04/15/2023] [Indexed: 12/23/2023] Open
Abstract
PURPOSE The current study was conducted to examine the role of consolidation chemotherapy after neoadjuvant radiation therapy (NART) in decreasing the involvement of the mesorectal fascia (MRF) in high-risk locally advanced rectal cancers (LARCs). METHODS In total, 46 patients who received consolidation chemotherapy after NART due to persistent MRF involvement were identified from a database. A team of 2 radiologists, blinded to the clinical data, studied sequential magnetic resonance imaging (MRI) scans to assess the tumor response and then predict a surgical plan. This prediction was then correlated with the actual procedure conducted as well as histopathological details to assess the impact of consolidation chemotherapy. RESULTS The comparison of MRI-based parameters of sequential images showed significant downstaging of T2 signal intensity, tumor height, MRF involvement, diffusion restriction, and N category between sequential MRIs (P < 0.05). However, clinically relevant downstaging (standardized mean difference, > 0.3) was observed for only T2 signal intensity and diffusion restriction on diffusion-weighted imaging. No clinically relevant changes occurred in the remaining parameters; thus, no change was noted in the extent of surgery predicted by MRI. Weak agreement (Cohen κ coefficient, 0.375) and correlation (Spearman rank coefficient, 0.231) were found between MRI-predicted surgery and the actual procedure performed. The comparison of MRI-based and pathological tumor response grading also showed a poor correlation. CONCLUSION Evidence is lacking regarding the use of consolidation chemotherapy in reducing MRF involvement in LARCs. The benefit of additional chemotherapy after NART in decreasing the extent of planned surgery by reducing margin involvement requires prospective research.
Collapse
Affiliation(s)
- Swapnil Patel
- Department of Surgical Oncology, MPMMCC & HBCH, Tata Memorial Centre, Varanasi, India
| | - Suman Ankathi
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai, India
| | - Purvi Haria
- Department of Radiodiagnosis, Tata Memorial Centre, Mumbai, India
| | - Mufaddal Kazi
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
| | - Ashwin L. Desouza
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
| | - Avanish Saklani
- Colorectal Division, Department of Surgical Oncology, Tata Memorial Centre, Mumbai, India
| |
Collapse
|
18
|
Kang MK, Park SY, Park JS, Kim HJ, Kim JG, Kang BW, Baek JH, Cho SH, Seo AN, Kim DW, Kim J, Baek SJ, Kim JH, Kim JY, Ha GW, Park EJ, Park IJ, Kim CH, Kang H, Choi GS. Preoperative sequential short-course radiation therapy and FOLFOX chemotherapy versus long-course chemoradiotherapy for locally advanced rectal cancer: a multicenter, randomized controlled trial (SOLAR trial). BMC Cancer 2023; 23:1059. [PMID: 37923987 PMCID: PMC10623855 DOI: 10.1186/s12885-023-11363-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Accepted: 09/04/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND Preoperative (chemo)radiotherapy has been widely used as an effective treatment for locally advanced rectal cancer (LARC), leading to a significant reduction in pelvic recurrence rates. Because early administration of intensive chemotherapy for LARC has more advantages than adjuvant chemotherapy, total neoadjuvant therapy (TNT) has been introduced and evaluated to determine whether it can improve tumor response or treatment outcomes. This study aims to investigate whether short-course radiotherapy (SCRT) followed by intensive chemotherapy improves oncologic outcomes compared with traditional preoperative long-course chemoradiotherapy (CRT). METHODS A multicenter randomized phase II trial involving 364 patients with LARC (cT3-4, cN+, or presence of extramural vascular invasion) will be conducted. Patients will be randomly assigned to the experimental or control arm at a ratio of 1:1. Participants in the experimental arm will receive SCRT (25 Gy in 5 fractions, daily) followed by four cycles of FOLFOX (oxaliplatin, 5-fluorouracil, and folinic acid) as a neoadjuvant treatment, and those in the control arm will receive conventional radiotherapy (45-50.4 Gy in 25-28 fractions, 5 times a week) concurrently with capecitabine or 5-fluorouracil. As a mandatory surgical procedure, total mesorectal excision will be performed 2-5 weeks from the last cycle of chemotherapy in the experimental arm and 6-8 weeks after the last day of radiotherapy in the control arm. The primary endpoint is 3-year disease-free survival, and the secondary endpoints are tumor response, overall survival, toxicities, quality of life, and cost-effectiveness. DISCUSSION This is the first Korean randomized controlled study comparing SCRT-based TNT with traditional preoperative LC-CRT for LARC. The involvement of experienced colorectal surgeons ensures high-quality surgical resection. SCRT followed by FOLFOX chemotherapy is expected to improve disease-free survival compared with CRT, with potential advantages in tumor response, quality of life, and cost-effectiveness. TRIAL REGISTRATION This trial is registered at Clinical Research Information under the identifier Service KCT0004874 on April 02, 2020, and at Clinicaltrial.gov under the identifier NCT05673772 on January 06, 2023.
Collapse
Grants
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- HA22C0042 National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
- National R&D Program for Cancer Control through the National Cancer Center (NCC) funded by the Ministry of Health & Welfare, Republic of Korea
Collapse
Affiliation(s)
- Min Kyu Kang
- Department of Radiation Oncology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Soo Yeun Park
- Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, 807 Hogukro, Buk-gu, Daegu, 41404, South Korea
| | - Jun Seok Park
- Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, 807 Hogukro, Buk-gu, Daegu, 41404, South Korea
| | - Hye Jin Kim
- Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, 807 Hogukro, Buk-gu, Daegu, 41404, South Korea
| | - Jong Gwang Kim
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Byung Woog Kang
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Jin Ho Baek
- Department of Oncology/Hematology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Seung Hyun Cho
- Department of Radiology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - An Na Seo
- Department of Pathology, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, Daegu, South Korea
| | - Duck-Woo Kim
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam, South Korea
| | - Jin Kim
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, South Korea
| | - Se Jin Baek
- Division of Colon and Rectal Surgery, Department of Surgery, Korea University College of Medicine, Seoul, South Korea
| | - Ji Hoon Kim
- Division of Colorectal Surgery, Department of Surgery, Incheon St. Mary's Hospital, the Catholic University of Korea, Incheon, South Korea
| | - Ji Yeon Kim
- Division of Colorectal Surgery, Department of Surgery, Chungnam National University Hospital, Daejeon, South Korea
| | - Gi Won Ha
- Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Jeonbuk, South Korea
| | - Eun Jung Park
- Division of Colon and Rectal Surgery, Department of Surgery, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea
| | - In Ja Park
- Division of Colon and Rectal Surgery, Department of surgery, , University of Ulsan College of Medicine and Asan Medical Center, Seoul, South Korea
| | - Chang Hyun Kim
- Department of Surgery, Chonnam National University Hwasun Hospital and Medical School, Hwasun, South Korea
| | - Hyun Kang
- Department of Anesthesiology and Pain Medicine, Chung-Ang University College of Medicine, Seoul, South Korea
| | - Gyu-Seog Choi
- Colorectal Cancer Center, Kyungpook National University Chilgok Hospital, School of Medicine, Kyungpook National University, 807 Hogukro, Buk-gu, Daegu, 41404, South Korea.
| |
Collapse
|
19
|
Amintas S, Giraud N, Fernandez B, Dupin C, Denost Q, Garant A, Frulio N, Smith D, Rullier A, Rullier E, Vuong T, Dabernat S, Vendrely V. The Crying Need for a Better Response Assessment in Rectal Cancer. Curr Treat Options Oncol 2023; 24:1507-1523. [PMID: 37702885 PMCID: PMC10643426 DOI: 10.1007/s11864-023-01125-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2023] [Indexed: 09/14/2023]
Abstract
OPINION STATEMENT Since total neoadjuvant treatment achieves almost 30% pathologic complete response, organ preservation has been increasingly debated for good responders after neoadjuvant treatment for patients diagnosed with rectal cancer. Two organ preservation strategies are available: a watch and wait strategy and a local excision strategy including patients with a near clinical complete response. A major issue is the selection of patients according to the initial tumor staging or the response assessment. Despite modern imaging improvement, identifying complete response remains challenging. A better selection could be possible by radiomics analyses, exploiting numerous image features to feed data characterization algorithms. The subsequent step is to include baseline and/or pre-therapeutic MRI, PET-CT, and CT radiomics added to the patients' clinicopathological data, inside machine learning (ML) prediction models, with predictive or prognostic purposes. These models could be further improved by the addition of new biomarkers such as circulating tumor biomarkers, molecular profiling, or pathological immune biomarkers.
Collapse
Affiliation(s)
- Samuel Amintas
- Tumor Biology and Tumor Bank Laboratory, CHU Bordeaux, F-33600, Pessac, France.
- BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France.
| | - Nicolas Giraud
- Department of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France
| | | | - Charles Dupin
- BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France
- Department of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France
| | - Quentin Denost
- Bordeaux Colorectal Institute, F-33000, Bordeaux, France
| | - Aurelie Garant
- UT Southwestern Department of Radiation Oncology, Dallas, USA
| | - Nora Frulio
- Radiology Department, CHU Bordeaux, F-33600, Pessac, France
| | - Denis Smith
- Department of Digestive Oncology, CHU Bordeaux, F-33600, Pessac, France
| | - Anne Rullier
- Histology Department, CHU Bordeaux, F-33000, Bordeaux, France
| | - Eric Rullier
- BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France
- Surgery Department, CHU Bordeaux, F-33600, Pessac, France
| | - Te Vuong
- Department of Radiation Oncology, McGill University, Jewish General Hospital, Montreal, Canada
| | - Sandrine Dabernat
- BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France
- Biochemistry Department, CHU Bordeaux, F-33000, Bordeaux, France
| | - Véronique Vendrely
- BRIC (BoRdeaux Institute of onCology), UMR1312, INSERM, University of Bordeaux, F-33000, Bordeaux, France
- Department of Radiation Oncology, CHU Bordeaux, F-33000, Bordeaux, France
| |
Collapse
|
20
|
Je HJ, Cho SH, Oh HS, Seo AN, Park BG, Lee SM, Kim SH, Kim GC, Ryeom H, Choi GS. Response Prediction after Neoadjuvant Chemotherapy for Colon Cancer Using CT Tumor Regression Grade: A Preliminary Study. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:1094-1109. [PMID: 37869127 PMCID: PMC10585072 DOI: 10.3348/jksr.2022.0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/13/2022] [Accepted: 02/06/2023] [Indexed: 10/24/2023]
Abstract
Purpose To investigate whether CT-based tumor regression grade (ctTRG) can be used to predict the response to neoadjuvant chemotherapy (NAC) in colon cancer. Materials and Methods A total of 53 patients were enrolled. Two radiologists independently assessed the ctTRG using the length, thickness, layer pattern, and luminal and extraluminal appearance of the tumor. Changes in tumor volume were also analyzed using the 3D Slicer software. We evaluated the association between pathologic TRG (pTRG) and ctTRG. Patients with Rödel's TRG of 2, 3, or 4 were classified as responders. In terms of predicting responder and pathologic complete remission (pCR), receiver operating characteristic was compared between ctTRG and tumor volume change. Results There was a moderate correlation between ctTRG and pTRG (ρ = -0.540, p < 0.001), and the interobserver agreement was substantial (weighted κ = 0.672). In the prediction of responder, there was no significant difference between ctTRG and volumetry (Az = 0.749, criterion: ctTRG ≤ 3 for ctTRG, Az = 0.794, criterion: ≤ -27.1% for volume, p = 0.53). Moreover, there was no significant difference between the two methods in predicting pCR (p = 0.447). Conclusion ctTRG might predict the response to NAC in colon cancer. The diagnostic performance of ctTRG was comparable to that of CT volumetry.
Collapse
|
21
|
Gollub MJ, Costello JR, Ernst RD, Lee S, Maheshwari E, Petkovska I, Wasnik AP, Horvat N. A primer on rectal MRI in patients on watch-and-wait treatment for rectal cancer. Abdom Radiol (NY) 2023; 48:2836-2873. [PMID: 37099182 PMCID: PMC11210452 DOI: 10.1007/s00261-023-03900-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 03/23/2023] [Accepted: 03/23/2023] [Indexed: 04/27/2023]
Abstract
Total neoadjuvant treatment (TNT) for rectal cancer is becoming an accepted treatment paradigm and is changing the landscape of this disease, wherein up to 50% of patients who undergo TNT are able to avoid surgery. This places new demands on the radiologist in terms of interpreting degrees of response to treatment. This primer summarizes the Watch-and-Wait approach and the role of imaging, with illustrative "atlas-like" examples as an educational guide for radiologists. We present a brief literature summary of the evolution of rectal cancer treatment, with a focus on magnetic resonance imaging (MRI) assessment of response. We also discuss recommended guidelines and standards. We outline the common TNT approach entering mainstream practice. A heuristic and algorithmic approach to MRI interpretation is also offered. To illustrate management and common scenarios, we arranged the illustrative figures as follows: (I) Clinical complete response (cCR) achieved at the immediate post-TNT "decision point" scan time; (II) cCR achieved at some point during surveillance, later than the first post-TNT MRI; (III) near clinical complete response (nCR); (IV) incomplete clinical response (iCR); (V) discordant findings between MRI and endoscopy where MRI is falsely positive, even at follow-up; (VI) discordant cases where MRI seems to be falsely positive but is proven truly positive on follow-up endoscopy; (VII) cases where MRI is falsely negative; (VIII) regrowth of tumor in the primary tumor bed; (IX) regrowth outside the primary tumor bed; and (X) challenging scenarios, i.e., mucinous cases. This primer is offered to achieve its intended goal of educating radiologists on how to interpret MRI in patients with rectal cancer undergoing treatment using a TNT-type treatment paradigm and a Watch-and-Wait approach.
Collapse
Affiliation(s)
- Marc J Gollub
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
| | - James R Costello
- Department of Diagnostic Imaging and Intervention, Motiff Cancer Center, Tampa, FL, 33612, USA
| | - Randy D Ernst
- Division of Diagnostic Imaging, Department of Abdominal Imaging, MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Sonia Lee
- Department of Radiology, University of California, Irvine, Orange, CA, 92868, USA
| | - Ekta Maheshwari
- Department of Radiology, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| | - Ashish P Wasnik
- Department of Radiology, University of MI-Michigan Medicine, Ann Arbor, MI, 48109, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA
| |
Collapse
|
22
|
El Khababi N, Beets-Tan RGH, Tissier R, Lahaye MJ, Maas M, Curvo-Semedo L, Dresen RC, Nougaret S, Beets GL, Lambregts DMJ. Sense and nonsense of yT-staging on MRI after chemoradiotherapy in rectal cancer. Colorectal Dis 2023; 25:1878-1887. [PMID: 37545140 DOI: 10.1111/codi.16698] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 05/02/2023] [Accepted: 06/08/2023] [Indexed: 08/08/2023]
Abstract
AIM The aim of this work was to investigate the value of rectal cancer T-staging on MRI after chemoradiotherapy (ymrT-staging) in relation to the degree of fibrotic transformation of the tumour bed as assessed using the pathological tumour regression grade (pTRG) of Mandard as a standard of reference. METHOD Twenty two radiologists, including five rectal MRI experts and 17 'nonexperts' (general/abdominal radiologists), evaluated the ymrT stage on the restaging MRIs of 90 rectal cancer patients after chemoradiotherapy. The ymrT stage was compared with the final ypT stage at histopathology; the percentages of correct staging (ymrT = ypT), understaging (ymrT < ypT) and overstaging (ymrT > ypT) were calculated and compared between patients with predominant tumour at histopathology (pTRG4-5) and patients with predominant fibrosis (pTRG1-3). Interobserver agreement (IOA) was computed using Krippendorff's alpha. RESULTS Average ymrT/ypT stage concordance was 48% for the experts and 43% for the nonexperts; ymrT/ypT stage concordance was significantly higher in the pTRG4-5 subgroup (58% vs. 41% for the pTRG1-3 group; p = 0.01), with the best results for the MRI experts. Overstaging was the main source of error, especially in the pTRG1-3 subgroup (average overstaging rate 38%-44% vs. 13%-55% in the pTRG4-5 subgroup). IOA was higher for the expert versus nonexpert readers (α = 0.67 vs. α = 0.39). CONCLUSIONS ymrT-staging is moderately accurate; accuracy is higher in poorly responding patients with predominant tumour but low in good responders with predominant fibrosis, resulting in significant overstaging. Radiologists should shift their focus from ymrT-staging to detecting gross residual (and progressive) disease, and identifying potential candidates for organ preservation who would benefit from further clinical and endoscopic evaluation to guide final treatment planning.
Collapse
Affiliation(s)
- Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Renaud Tissier
- Biostatistics Unit, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| | - Luís Curvo-Semedo
- Department of Radiology, Centro Hospitalar e Universitario de Coimbra EPE, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Raphaëla C Dresen
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Stephanie Nougaret
- Medical Imaging Department, Montpellier Cancer Institute, Montpellier Cancer Research Institute (U1194), University of Montpellier, Montpellier, France
| | - Geerard L Beets
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
- Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, Amsterdam, The Netherlands
- GROW School for Oncology and Reproduction, University of Maastricht, Maastricht, The Netherlands
| |
Collapse
|
23
|
Habr-Gama A, São Julião GP, Ortega CD, Vailati BB, Araujo S, Jorge T, Sabbaga J, Rossi GL, D'Alpino R, Kater FR, Aguilar PB, Mattacheo A, Perez RO. A multi-centre randomized controlled trial investigating Consolidation Chemotherapy with and without oxaliplatin in distal rectal cancer and Watch & Wait. BMC Cancer 2023; 23:546. [PMID: 37316784 DOI: 10.1186/s12885-023-10984-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 05/19/2023] [Indexed: 06/16/2023] Open
Abstract
BACKGROUND Neoadjuvant chemoradiation(nCRT) has been considered the preferred initial treatment strategy for distal rectal cancer. Advantages of this approach include improved local control after radical surgery but also the opportunity for organ preserving strategies (Watch and Wait-WW). Consolidation chemotherapy(cCT) regimens using fluoropyrimidine-based with or without oxalipatin following nCRT have demonstrated to increase complete response and organ preservation rates among these patients. However, the benefit of adding oxaliplatin to cCT compared to fluoropirimidine alone regimens in terms of primary tumor response remains unclear. Since oxalipatin-treatment may be associated with considerable toxicity, it becomes imperative to understand the benefit of its incorporation into standard cCT regimens in terms of primary tumor response. The aim of the present trial is to compare the outcomes of 2 different cCT regimens following nCRT (fluoropyrimidine-alone versus fluoropyrimidine + oxaliplatin) for patients with distal rectal cancer. METHODS In this multi-centre study, patients with magnetic resonance-defined distal rectal tumors will be randomized on a 1:1 ratio to receive long-course chemoradiation (54 Gy) followed by cCT with fluoropyrimidine alone versus fluoropyrimidine + oxaliplatin. Magnetic resonance(MR) will be analyzed centrally prior to patient inclusion and randomization. mrT2-3N0-1 tumor located no more than 1 cm above the anorectal ring determined by sagittal views on MR will be eligible for the study. Tumor response will be assessed after 12 weeks from radiotherapy(RT) completion. Patients with clinical complete response (clinical, endoscopic and radiological) may be enrolled in an organ-preservation program(WW). The primary endpoint of this trial is decision to organ-preservation surveillance (WW) at 18 weeks from RT completion. Secondary endpoints are 3-year surgery-free survival, TME-free survival, distant metastases-free survival, local regrowth-free survival and colostomy-free survival. DISCUSSION Long-course nCRT with cCT is associated with improved complete response rates and may be a very attractive alternative to increase the chances for organ-preservation strategies. Fluoropyrimidine-based cCT with or without oxaliplatin has never been investigated in the setting of a randomized trial to compare clinical response rates and the possibility of organ-preservation. The outcomes of this study may significantly impact clinical practice of patients with distal rectal cancer interested in organ-preservation. TRIAL REGISTRATION www. CLINICALTRIALS gov NCT05000697; registered on August 11th, 2021.
Collapse
Affiliation(s)
- Angelita Habr-Gama
- University of São Paulo School of Medicine, São Paulo, Brazil
- Angelita and Joaquim Gama Institute, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
| | - Guilherme Pagin São Julião
- Angelita and Joaquim Gama Institute, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
| | - Cinthia D Ortega
- Department of Radiology, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, São Paulo, Brazil
- Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Bruna Borba Vailati
- Angelita and Joaquim Gama Institute, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil
| | - Sergio Araujo
- Department of Radiology and Diagnostic Imaging, Hospital Israelita Albert Einstein, São Paulo, Brazil
| | - Thiago Jorge
- Department of Medical Oncology, Hospital Alemão Oswaldo Cruz, São Paulo, Brazil
| | - Jorge Sabbaga
- Department of Medical Oncology, Hospital Sírio Libanês, São Paulo, Brazil
| | - Gustavo L Rossi
- Servicio Cirugia General, Hospital Italiano de Buenos Aires, Sector de Coloproctologia, Buenos Aires, Argentina
| | | | - Fabio Roberto Kater
- Department of Medical Oncology, Hospital Beneficencia Portuguesa, São Paulo, Brazil
| | | | | | - Rodrigo Oliva Perez
- Angelita and Joaquim Gama Institute, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil.
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil.
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil.
- Ludwig Institute for Cancer Research, Praça Amadeu Amaral, 47 - conj.111, São Paulo, 01327-904, Brazil.
| |
Collapse
|
24
|
Miranda J, Horvat N, Assuncao AN, de M Machado FA, Chakraborty J, Pandini RV, Saraiva S, Nahas CSR, Nahas SC, Nomura CH. MRI-based radiomic score increased mrTRG accuracy in predicting rectal cancer response to neoadjuvant therapy. Abdom Radiol (NY) 2023; 48:1911-1920. [PMID: 37004557 PMCID: PMC10942660 DOI: 10.1007/s00261-023-03898-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 03/22/2023] [Accepted: 03/23/2023] [Indexed: 04/04/2023]
Abstract
PURPOSE To develop a magnetic resonance imaging (MRI)-based radiomics score, i.e., "rad-score," and to investigate the performance of rad-score alone and combined with mrTRG in predicting pathologic complete response (pCR) in patients with locally advanced rectal cancer following neoadjuvant chemoradiation therapy. METHODS This retrospective study included consecutive patients with LARC who underwent neoadjuvant chemoradiotherapy followed by surgery from between July 2011 to November 2015. Volumes of interest of the entire tumor on baseline rectal MRI and of the tumor bed on restaging rectal MRI were manually segmented on T2-weighted images. The radiologist also provided the ymrTRG score on the restaging MRI. Radiomic score (rad-score) was calculated and optimal cut-off points for both mrTRG and rad-score to predict pCR were selected using Youden's J statistic. RESULTS Of 180 patients (mean age = 63 years; 60% men), 33/180 (18%) achieved pCR. High rad-score (> - 1.49) yielded an area under the curve (AUC) of 0.758, comparable to ymrTRG 1-2 which yielded an AUC of 0.759. The combination of high rad-score and ymrTRG 1-2 yielded a significantly higher AUC of 0.836 compared with ymrTRG 1-2 and high rad-score alone (p < 0.001). A logistic regression model incorporating both high rad-score and mrTRG 1-2 was built to calculate adjusted odds ratios for pCR, which was 4.85 (p < 0.001). CONCLUSION Our study demonstrates that a rectal restaging MRI-based rad-score had comparable diagnostic performance to ymrTRG. Moreover, the combined rad-score and ymrTRG model yielded a significant better diagnostic performance for predicting pCR.
Collapse
Affiliation(s)
- Joao Miranda
- Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, 1275 York Ave, Box 29, New York, NY, 10065, USA.
| | - Antonildes N Assuncao
- Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil
- Research and Education Institute, Hospital Sirio-Libanes, Sao Paulo, SP, Brazil
| | | | - Jayasree Chakraborty
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Samya Saraiva
- Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, SP, Brazil
| | | | | | - Cesar Higa Nomura
- Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil
- Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, SP, Brazil
| |
Collapse
|
25
|
Seo N, Lim JS. [Interpretation of Rectal MRI after Neoadjuvant Treatment in Patients with Rectal Cancer]. JOURNAL OF THE KOREAN SOCIETY OF RADIOLOGY 2023; 84:550-564. [PMID: 37325000 PMCID: PMC10265231 DOI: 10.3348/jksr.2023.0007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2023] [Revised: 02/28/2023] [Accepted: 03/14/2023] [Indexed: 06/17/2023]
Abstract
MRI is currently the imaging modality of choice to evaluate rectal cancer after neoadjuvant treatment. The purposes of restaging MRI are to assess the resectability of rectal cancer and to decide whether organ preservation strategies can be applied in patients with a complete clinical response. This review article indicates the key MRI features needed to evaluate rectal cancer after neoadjuvant treatment using a systematic approach. Assessment of primary tumor response including MRI findings to predict a complete response is discussed. Additionally, MRI evaluation of the relationship between the primary tumor and adjacent structures, lymph node response, extramural venous invasion, and tumor deposits after neoadjuvant treatment is presented. Knowledge of these imaging features and their clinical relevance may help radiologists provide an accurate and clinically valuable interpretation of restaging rectal MRI.
Collapse
|
26
|
Cerdan-Santacruz C, São Julião GP, Vailati BB, Corbi L, Habr-Gama A, Perez RO. Watch and Wait Approach for Rectal Cancer. J Clin Med 2023; 12:jcm12082873. [PMID: 37109210 PMCID: PMC10143332 DOI: 10.3390/jcm12082873] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/10/2023] [Accepted: 04/12/2023] [Indexed: 04/29/2023] Open
Abstract
The administration of neoadjuvant chemoradiotherapy (nCRT) followed by total mesorrectal excision (TME) and selective use of adjuvant chemotherapy can still be considered the standard of care in locally advanced rectal cancer (LARC). However, avoiding sequelae of TME and entering a narrow follow-up program of watch and wait (W&W), in select cases that achieve a comparable clinical complete response (cCR) to nCRT, is now very attractive to both patients and clinicians. Many advances based on well-designed studies and long-term data coming from big multicenter cohorts have drawn some important conclusions and warnings regarding this strategy. In order to safely implement W&W, it is important consider proper selection of cases, best treatment options, surveillance strategy and the attitudes towards near complete responses or even tumor regrowth. The present review offers a comprehensive overview of W&W strategy from its origins to the most current literature, from a practical point of view focused on daily clinical practice, without losing sight of the most important future prospects in this area.
Collapse
Affiliation(s)
- Carlos Cerdan-Santacruz
- Department of Coloproctology, Hospital Universitario de la Princesa, 28006 Madrid, Spain
- Department of Coloproctology, Clínica Santa Elena, 28003 Madrid, Spain
| | - Guilherme Pagin São Julião
- Angelita and Joaquim Gama Institute, São Paulo 01329-020, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, São Paulo 01323-020, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, São Paulo 01323-001, Brazil
| | - Bruna Borba Vailati
- Angelita and Joaquim Gama Institute, São Paulo 01329-020, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, São Paulo 01323-020, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, São Paulo 01323-001, Brazil
| | - Leonardo Corbi
- Angelita and Joaquim Gama Institute, São Paulo 01329-020, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, São Paulo 01323-020, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, São Paulo 01323-001, Brazil
| | - Angelita Habr-Gama
- Angelita and Joaquim Gama Institute, São Paulo 01329-020, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, São Paulo 01323-020, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, São Paulo 01323-001, Brazil
| | - Rodrigo Oliva Perez
- Angelita and Joaquim Gama Institute, São Paulo 01329-020, Brazil
- Department of Coloproctology, Hospital Alemão Oswaldo Cruz, São Paulo 01323-020, Brazil
- Department of Surgical Oncology, Hospital Beneficencia Portuguesa, São Paulo 01323-001, Brazil
| |
Collapse
|
27
|
Jayaprakasam VS, Alvarez J, Omer DM, Gollub MJ, Smith JJ, Petkovska I. Watch-and-Wait Approach to Rectal Cancer: The Role of Imaging. Radiology 2023; 307:e221529. [PMID: 36880951 PMCID: PMC10068893 DOI: 10.1148/radiol.221529] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 11/09/2022] [Accepted: 11/14/2022] [Indexed: 03/08/2023]
Abstract
The diagnosis and treatment of rectal cancer have evolved dramatically over the past several decades. At the same time, its incidence has increased in younger populations. This review will inform the reader of advances in both diagnosis and treatment. These advances have led to the watch-and-wait approach, otherwise known as nonsurgical management. This review briefly outlines changes in medical and surgical treatment, advances in MRI technology and interpretation, and landmark studies or trials that have led to this exciting juncture. Herein, the authors delve into current state-of-the-art methods to assess response to treatment with MRI and endoscopy. Currently, these methods for avoiding surgery can be used to detect a complete clinical response in as many as 50% of patients with rectal cancer. Finally, the limitations of imaging and endoscopy and future challenges will be discussed.
Collapse
Affiliation(s)
- Vetri Sudar Jayaprakasam
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| | - Janet Alvarez
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| | - Dana M. Omer
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| | - Marc J. Gollub
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| | - J. Joshua Smith
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| | - Iva Petkovska
- From the Departments of Radiology (V.S.J., M.J.G., I.P.) and Surgery
(J.A., D.M.O., J.J.S.), Memorial Sloan-Kettering Cancer Center, 1275 York Ave,
Box 29, New York, NY 10065
| |
Collapse
|
28
|
Mohammadi M, Kaye EA, Alus O, Kee Y, Golia Pernicka JS, El Homsi M, Petkovska I, Otazo R. Accelerated Diffusion-Weighted MRI of Rectal Cancer Using a Residual Convolutional Network. Bioengineering (Basel) 2023; 10:bioengineering10030359. [PMID: 36978750 PMCID: PMC10045764 DOI: 10.3390/bioengineering10030359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 02/28/2023] [Accepted: 03/09/2023] [Indexed: 03/16/2023] Open
Abstract
This work presents a deep-learning-based denoising technique to accelerate the acquisition of high b-value diffusion-weighted MRI for rectal cancer. A denoising convolutional neural network (DCNN) with a combined L1–L2 loss function was developed to denoise high b-value diffusion-weighted MRI data acquired with fewer repetitions (NEX: number of excitations) using the low b-value image as an anatomical guide. DCNN was trained using 85 datasets acquired on patients with rectal cancer and tested on 20 different datasets with NEX = 1, 2, and 4, corresponding to acceleration factors of 16, 8, and 4, respectively. Image quality was assessed qualitatively by expert body radiologists. Reader 1 scored similar overall image quality between denoised images with NEX = 1 and NEX = 2, which were slightly lower than the reference. Reader 2 scored similar quality between NEX = 1 and the reference, while better quality for NEX = 2. Denoised images with fourfold acceleration (NEX = 4) received even higher scores than the reference, which is due in part to the effect of gas-related motion in the rectum, which affects longer acquisitions. The proposed deep learning denoising technique can enable eightfold acceleration with similar image quality (average image quality = 2.8 ± 0.5) and fourfold acceleration with higher image quality (3.0 ± 0.6) than the clinical standard (2.5 ± 0.8) for improved diagnosis of rectal cancer.
Collapse
Affiliation(s)
- Mohaddese Mohammadi
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Elena A. Kaye
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Or Alus
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Youngwook Kee
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Iva Petkovska
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ricardo Otazo
- Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
- Correspondence:
| |
Collapse
|
29
|
Kazi M, Desouza A, Saklani A. What are the preoperative predictors of a futile pelvic exenteration in rectal cancers? EUROPEAN JOURNAL OF SURGICAL ONCOLOGY 2023; 49:633-640. [PMID: 36357296 DOI: 10.1016/j.ejso.2022.10.022] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Revised: 10/06/2022] [Accepted: 10/31/2022] [Indexed: 11/06/2022]
Abstract
INTRODUCTION Early recurrences and deaths after a morbid procedure like pelvic exenteration are devastating events. The present study aimed at determining the incidence and predictors of futile pelvic exenterations. METHODS Consecutive pelvic exenterations for advanced and recurrent rectal adenocarcinomas operated between January 2013 and January 2021 were included with a minimum of six months follow-up. Futility of exenteration was defined as recurrence or death within six months of operation. Multivariate logistic regression was used to define predictors of futility. RESULTS Two-hundred eighty-five patients were included and 61 patients (21.4%) had a futile resection. Poorly differentiated (or signet) histology, presence of lateral pelvic nodes, M1 disease, and the need for pelvic bone resections predicted a futile resection. The probability of futility was 10%, 20%, 35-40%, 55-60%, and >75% when none, one, two, three, and all four of the predictors were present. The model was able to correctly predict futility in 70% of the cases suggesting moderate discrimination, and showed good calibration. CONCLUSIONS Futile pelvic exenterations were observed in one-fifth of patients. Four strong predictors of futility were identified. The risk of early failures was additive when combination of these adverse features was present, and can be used for patient selection and prognostication.
Collapse
Affiliation(s)
- Mufaddal Kazi
- Department of Surgical Oncology, Tata Memorial Hospital, Mumbai, 400012, India; Homi Bhabha National Institute, Mumbai, 400012, India
| | - Ashwin Desouza
- Department of Surgical Oncology, Tata Memorial Hospital, Mumbai, 400012, India; Homi Bhabha National Institute, Mumbai, 400012, India
| | - Avanish Saklani
- Department of Surgical Oncology, Tata Memorial Hospital, Mumbai, 400012, India; Homi Bhabha National Institute, Mumbai, 400012, India.
| |
Collapse
|
30
|
Bedrikovetski S, Dudi-Venkata NN, Kroon HM, Traeger LH, Seow W, Vather R, Wilks M, Moore JW, Sammour T. A prospective study of diagnostic accuracy of multidisciplinary team and radiology reporting of preoperative colorectal cancer local staging. Asia Pac J Clin Oncol 2023; 19:206-213. [PMID: 35712999 PMCID: PMC10084150 DOI: 10.1111/ajco.13795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 04/22/2022] [Accepted: 05/07/2022] [Indexed: 01/20/2023]
Abstract
INTRODUCTION The aim of this study was to correlate and assess diagnostic accuracy of preoperative staging at multidisciplinary team meeting (MDT) against the original radiology reports and pathological staging in colorectal cancer patients. METHODS A prospective observational study was conducted at two institutions. Patients with histologically proven colorectal cancer and available preoperative imaging were included. Preoperative tumor and nodal staging (cT and cN) as determined by the MDT and the radiology report (computed tomography [CT] and/or magnetic resonance imaging [MRI]) were recorded. Kappa statistics were used to assess agreement between MDT and the radiology report for cN staging in colon cancer, cT and cN in rectal cancer, and tumor regression grade (TRG) in patients with rectal cancer who received neoadjuvant therapy. Pathological report after surgery served as the reference standard for local staging, and AUROC curves were constructed to compare diagnostic accuracy of the MDT and radiology report. RESULTS A total of 481 patients were included. Agreement between MDT and radiology report for cN stage was good in colon cancer (k = .756, Confidence Interval (CI) 95% .686-.826). Agreement for cT and cN and in rectal cancer was very good (kw = .825, CI 95% .758-.892) and good (kw = .792, CI 95% .709-.875), respectively. In the rectal cancer group that received neoadjuvant therapy, agreement on TRG was very good (kw = .919, CI 95% .846-.993). AUROC curves using pathological staging indicated no difference in diagnostic accuracy between MDT and radiology reports for either colon or rectal cancer. CONCLUSION Preoperative colorectal cancer local staging was consistent between specialist MDT review and original radiology reports, with no significant differences in diagnostic accuracy identified.
Collapse
Affiliation(s)
- Sergei Bedrikovetski
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Nagendra N Dudi-Venkata
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Hidde M Kroon
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Luke H Traeger
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Warren Seow
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia
| | - Ryash Vather
- Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Michael Wilks
- Department of Interventional Radiology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - James W Moore
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Tarik Sammour
- Discipline of Surgery, Faculty of Health and Medical Sciences, Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia.,Colorectal Unit, Department of Surgery, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| |
Collapse
|
31
|
Boubaddi M, Fleming C, Vendrely V, Frulio N, Salut C, Rullier E, Denost Q. Feasibility study of a Response Surveillance Program in locally advanced mid and low rectal cancer to increase organ preservation. Eur J Surg Oncol 2023; 49:237-243. [PMID: 36114048 DOI: 10.1016/j.ejso.2022.08.031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/02/2022] [Accepted: 08/25/2022] [Indexed: 01/24/2023] Open
Abstract
BACKGROUND Assessment of tumor response in rectal cancer after neoadjuvant treatment by MRI (Tumour Regression Grade, TRG 1-5) is well standardized. The overall timing and method of defining complete response (cCR) remain controversial. The aim of this work was to evaluate the feasibility of a defined Response Surveillance Program (RSP) to increase organ preservation for locally advanced rectal cancer after neoadjuvant treatment. METHODS A standardized program of clinical (CR), radiological (RR) and metabolic (MR) assessment of tumor response is defined over a 6 month period from completion of NACRT with formal assessment performed every 2 months (M). Patients with TRG1-3 at M2 and TRG1-2 at M4 continue in the program up to M6 assessment. Patients managed with this protocol from 2016 to 2020 were analyzed. The primary endpoint was rectal preservation rate. Secondary endpoints included disease-free survival and overall survival at 3 years. RESULT 314 potentially suitable patients were enrolled in the RSP and 50 patients completed the six month program and were successfully enrolled into watch and wait. Fourteen (28%) were T2 tumor stage, 27 (54%) T3 and nine (18%) were T4. During watch and wait, patients with locoregional recurrence (n = 11) were treated with local excision (n = 3), endocavitary radiotherapy (n = 1), TME (n = 5) and APR (n = 2). With a median follow-up of 32 months, the rectal preservation rate was 88%, with a 3-year disease-free survival of 67% and an overall survival of 98%. CONCLUSION This study validates the feasibility of the practical implementation of a Response Surveillance Program to increase organ preservation rates without compromising oncological outcomes in rectal cancer.
Collapse
Affiliation(s)
| | | | | | - Nora Frulio
- Department of Radiology, CHU, Bordeaux, France
| | | | - Eric Rullier
- Department of Colorectal Surgery, CHU, Bordeaux, France
| | - Quentin Denost
- Department of Colorectal Surgery, CHU, Bordeaux, France.
| |
Collapse
|
32
|
El Khababi N, Beets-Tan RGH, Tissier R, Lahaye MJ, Maas M, Curvo-Semedo L, Dresen RC, Nougaret S, Beets GL, Lambregts DMJ. Comparison of MRI response evaluation methods in rectal cancer: a multicentre and multireader validation study. Eur Radiol 2022; 33:4367-4377. [PMID: 36576549 DOI: 10.1007/s00330-022-09342-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 09/30/2022] [Accepted: 11/29/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVES To compare four previously published methods for rectal tumor response evaluation after chemoradiotherapy on MRI. METHODS Twenty-two radiologists (5 rectal MRI experts, 17 general/abdominal radiologists) retrospectively reviewed the post-chemoradiotherapy MRIs of 90 patients, scanned at 10 centers (with non-standardized protocols). They applied four response methods; two based on T2W-MRI only (MRI tumor regression grade (mrTRG); split-scar sign), and two based on T2W-MRI+DWI (modified-mrTRG; DWI-patterns). Image quality was graded using a 0-6-point score (including slice thickness and in-plane resolution; sequence angulation; DWI b-values, signal-to-noise, and artefacts); scores < 4 were classified below average. Mixed model linear regression was used to calculate average sensitivity/specificity/accuracy to predict a complete response (versus residual tumor) and assess the impact of reader experience and image quality. Group interobserver agreement (IOA) was calculated using Krippendorff's alpha. Readers were asked to indicate their preferred scoring method(s). RESULTS Average sensitivity/specificity/accuracy was 57%/64%/62% (mrTRG), 36%/79%/66% (split-scar), 40%/79%/67% (modified-mrTRG), and 37%/82%/68% (DWI-patterns); mrTRG showed higher sensitivity but lower specificity and accuracy (p < 0.001) compared to the other methods. IOA was lower for the split scar method (0.18 vs. 0.39-0.43). Higher reader experience had a significant positive effect on diagnostic performance and IOA (except for the split scar sign); below-average imaging quality had a significant negative effect on diagnostic performance. DWI pattern was selected as the preferred method by 73% of readers. CONCLUSIONS Methods incorporating DWI showed the most favorable results when combining diagnostic performance, IOA, and reader preference. Reader experience and image quality clearly impacted diagnostic performance emphasizing the need for state-of-the-art imaging and dedicated radiologist training. KEY POINTS • In a multireader study comparing 4 MRI methods for rectal tumor response evaluation, those incorporating DWI showed the best results when combining diagnostic performance, IOA, and reader preference. • The most preferred method (by 73% of readers) was the "DWI patterns" approach with an accuracy of 68%, high specificity of 82%, and group IOA of 0.43. • Reader experience level and MRI quality had an evident effect on diagnostic performance and IOA.
Collapse
Affiliation(s)
- Najim El Khababi
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Renaud Tissier
- Department of Epidemiology and Biostatistics, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Max J Lahaye
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Monique Maas
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands.,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands
| | - Luís Curvo-Semedo
- Department of Radiology, Centro Hospitalar e Universitario de Coimbra EPE, Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Raphaëla C Dresen
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
| | - Stephanie Nougaret
- Medical Imaging Department, Montpellier Cancer Institute, Montpellier Cancer Research Institute (U1194), University of Montpellier, Montpellier, France
| | - Geerard L Beets
- GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands.,Department of Surgery, The Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Doenja M J Lambregts
- Department of Radiology, The Netherlands Cancer Institute, P.O. Box 90203, 1106, BE, Amsterdam, The Netherlands. .,GROW School for Oncology & Developmental Biology, University of Maastricht, Maastricht, The Netherlands.
| | | |
Collapse
|
33
|
Bedrikovetski S, Traeger L, Vather R, Moore JW, Sammour T. Clinical and biochemical predictors of tumor response after neoadjuvant therapy in rectal cancer. Asia Pac J Clin Oncol 2022; 19:365-373. [DOI: 10.1111/ajco.13877] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 09/20/2022] [Accepted: 09/24/2022] [Indexed: 12/01/2022]
Affiliation(s)
- Sergei Bedrikovetski
- Discipline of Surgery Faculty of Health and Medical Sciences School of Medicine University of Adelaide Adelaide South Australia Australia
- Colorectal Unit Department of Surgery Royal Adelaide Hospital Adelaide South Australia Australia
| | - Luke Traeger
- Discipline of Surgery Faculty of Health and Medical Sciences School of Medicine University of Adelaide Adelaide South Australia Australia
- Colorectal Unit Department of Surgery Royal Adelaide Hospital Adelaide South Australia Australia
| | - Ryash Vather
- Colorectal Unit Department of Surgery Royal Adelaide Hospital Adelaide South Australia Australia
| | - James W. Moore
- Discipline of Surgery Faculty of Health and Medical Sciences School of Medicine University of Adelaide Adelaide South Australia Australia
- Colorectal Unit Department of Surgery Royal Adelaide Hospital Adelaide South Australia Australia
| | - Tarik Sammour
- Discipline of Surgery Faculty of Health and Medical Sciences School of Medicine University of Adelaide Adelaide South Australia Australia
- Colorectal Unit Department of Surgery Royal Adelaide Hospital Adelaide South Australia Australia
| |
Collapse
|
34
|
Li C, Guan Z, Zhao Y, Sun T, Li Z, Wang W, Li Z, Wang L, Wu A. Predictors of pathologic complete response in patients with residual flat mucosal lesions after neoadjuvant chemoradiotherapy for locally advanced rectal cancer. Chin J Cancer Res 2022; 34:383-394. [PMID: 36199540 PMCID: PMC9468014 DOI: 10.21147/j.issn.1000-9604.2022.04.06] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Accepted: 07/15/2022] [Indexed: 08/30/2023] Open
Abstract
OBJECTIVE The accurate prediction of tumor response to neoadjuvant chemoradiotherapy (nCRT) remains challenging. Few studies have investigated pathologic complete response (ypCR) prediction in patients with residual flat mucosal lesions after treatment. This study aimed to identify variables for predicting ypCR in patients with residual flat mucosal lesions after nCRT for locally advanced rectal cancer (LARC). METHODS Data of patients with residual flat mucosal lesions after nCRT who underwent radical resection between 2009 and 2015 were retrospectively collected from the LARC database at Peking University Cancer Hospital. Univariate and multivariate analyses of the association between clinicopathological factors and ypCR were performed, and a nomogram was constructed by incorporating the significant predictors. RESULTS Of the 246 patients with residual flat mucosal lesions included in the final analysis, 56 (22.8%) had ypCR. Univariate and multivariate analyses showed that pretreatment cT stage (pre-cT) ≤T2 (P=0.016), magnetic resonance tumor regression grade (MR-TRG) 1-3 (P=0.001) and residual mucosal lesion depth =0 mm (P<0.001) were associated with a higher rate of ypCR. A nomogram was developed with a concordance index (C-index) of 0.759 and the calibration curve showed that the nomogram model had good predictive consistency. The follow-up time ranged from 3.0 to 113.3 months, with a median follow-up time of 63.77 months. The multivariate Cox regression model showed that the four variables in the nomogram model were not risk factors for disease-free survival (DFS) or overall survival (OS). CONCLUSIONS Completely flat mucosa, early cT stage and good MR-TRG were predictive factors for ypCR instead of DFS or OS in patients with LARC with residual flat mucosal lesions after nCRT. Endoscopic mucosal re-evaluation before surgery is important, as it may contribute to decision-making and facilitate nonoperative management or organ preservation.
Collapse
Affiliation(s)
- Changlong Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhen Guan
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Yi Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Tingting Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhongwu Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Pathology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Weihu Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiation Oncology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Zhexuan Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Cancer Epidemiology, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Lin Wang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Aiwen Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing 100142, China
| |
Collapse
|
35
|
Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study. Abdom Radiol (NY) 2022; 47:2770-2782. [PMID: 35710951 PMCID: PMC10150388 DOI: 10.1007/s00261-022-03572-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Revised: 05/25/2022] [Accepted: 05/25/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE To evaluate an MRI-based radiomic texture classifier alone and combined with radiologist qualitative assessment in predicting pathological complete response (pCR) using restaging MRI with internal training and external validation. METHODS Consecutive patients with locally advanced rectal cancer (LARC) who underwent neoadjuvant therapy followed by total mesorectal excision from March 2012 to February 2016 (Memorial Sloan Kettering Cancer Center/internal dataset, n = 114, 41% female, median age = 55) and July 2014 to October 2015 (Instituto do Câncer do Estado de São Paulo/external dataset, n = 50, 52% female, median age = 64.5) were retrospectively included. Two radiologists (R1, senior; R2, junior) independently evaluated restaging MRI, classifying patients (radiological complete response vs radiological partial response). Model A (n = 33 texture features), model B (n = 91 features including texture, shape, and edge features), and two combination models (model A + B + R1, model A + B + R2) were constructed. Pathology served as the reference standard for neoadjuvant treatment response. Comparison of the classifiers' AUCs on the external set was done using DeLong's test. RESULTS Models A and B had similar discriminative ability (P = 0.3; Model B AUC = 83%, 95% CI 70%-97%). Combined models increased inter-reader agreement compared with radiologist-only interpretation (κ = 0.82, 95% CI 0.70-0.89 vs k = 0.25, 95% CI 0.11-0.61). The combined model slightly increased junior radiologist specificity, positive predictive value, and negative predictive values (93% vs 90%, 57% vs 50%, and 91% vs 90%, respectively). CONCLUSION We developed and externally validated a combined model using radiomics and radiologist qualitative assessment, which improved inter-reader agreement and slightly increased the diagnostic performance of the junior radiologist in predicting pCR after neoadjuvant treatment in patients with LARC.
Collapse
|
36
|
Mathew DAP, Wagh DMS. Abdominoperineal Excision in current era. Cancer Treat Res Commun 2022; 32:100580. [PMID: 35668011 DOI: 10.1016/j.ctarc.2022.100580] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 05/26/2022] [Indexed: 06/15/2023]
|
37
|
A new magnetic resonance imaging tumour response grading scheme for locally advanced rectal cancer. Br J Cancer 2022; 127:268-277. [PMID: 35388140 PMCID: PMC9296509 DOI: 10.1038/s41416-022-01801-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 03/14/2022] [Accepted: 03/21/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND The potential of using magnetic resonance image tumour-regression grading (MRI-TRG) system to predict pathological TRG is debatable for locally advanced rectal cancer treated by neoadjuvant radiochemotherapy. METHODS Referring to the American Joint Committee on Cancer/College of American Pathologists (AJCC/CAP) TRG classification scheme, a new four-category MRI-TRG system based on the volumetric analysis of the residual tumour and radiochemotherapy induced anorectal fibrosis was established. The agreement between them was evaluated by Kendall's tau-b test, while Kaplan-Meier analysis was used to calculate survival outcomes. RESULTS In total, 1033 patients were included. Good agreement between MRI-TRG and AJCC/CAP TRG classifications was observed (k = 0.671). Particularly, as compared with other pairs, MRI-TRG 0 displayed the highest sensitivity [90.1% (95% CI: 84.3-93.9)] and specificity [92.8% (95% CI: 90.4-94.7)] in identifying AJCC/CAP TRG 0 category patients. Except for the survival ratios that were comparable between the MRI-TRG 0 and MRI-TRG 1 categories, any two of the four categories had distinguished 3-year prognosis (all P < 0.05). Cox regression analysis further proved that the MRI-TRG system was an independent prognostic factor (all P < 0.05). CONCLUSION The new MRI-TRG system might be a surrogate for AJCC/CAP TRG classification scheme. Importantly, the system is a reliable and non-invasive way to identify patients with complete pathological responses.
Collapse
|
38
|
Cerdán-Santacruz C, Vailati BB, São Julião GP, Habr-Gama A, Pérez RO. Watch and wait: Why, to whom and how. Surg Oncol 2022; 43:101774. [DOI: 10.1016/j.suronc.2022.101774] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Accepted: 04/12/2022] [Indexed: 12/26/2022]
|
39
|
Azamat S, Karaman Ş, Azamat IF, Ertaş G, Kulle CB, Keskin M, Sakin RND, Bakır B, Oral EN, Kartal MG. Complete Response Evaluation of Locally Advanced Rectal Cancer to Neoadjuvant Chemoradiotherapy Using Textural Features Obtained from T2 Weighted Imaging and ADC Maps. Curr Med Imaging 2022; 18:1061-1069. [PMID: 35240976 DOI: 10.2174/1573405618666220303111026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Revised: 12/07/2021] [Accepted: 12/22/2021] [Indexed: 11/22/2022]
Abstract
BACKGROUND The prediction of pathological responses for locally advanced rectal cancer using magnetic resonance imaging (MRI) after neoadjuvant chemoradiotherapy (CRT) is a challenging task for radiologists, as residual tumor cells can be mistaken for fibrosis. Texture analysis of MR images has been proposed to understand the underlying pathology. OBJECTIVE This study aimed to assess the responses of lesions to CRT in patients with locally advanced rectal cancer using the first-order textural features of MRI T2-weighted imaging (T2-WI) and apparent diffusion coefficient (ADC) maps. METHODS Forty-four patients with locally advanced rectal cancer (median age: 57 years) who underwent MRI before and after CRT were enrolled in this retrospective study. The first-order textural parameters of tumors on T2-WI and ADC maps were extracted. The textural features of lesions in pathologic complete responders were compared to partial responders using Student's t- or Mann-Whitney U tests. A comparison of textural features before and after CRT for each group was performed using the Wilcoxon rank sum test. Receiver operating characteristic curves were calculated to detect the diagnostic performance of the ADC. RESULTS Of the 44 patients evaluated, 22 (50%) were placed in a partial response group and 50% were placed in a complete response group. The ADC changes of the complete responders were statistically more significant than those of the partial responders (P = 0.002). Pathologic total response was predicted with an ADC cut-off of 1310 x 10-6 mm2/s, with a sensitivity of 72%, a specificity of 77%, and an accuracy of 78.1% after neoadjuvant CRT. The skewness of the T2-WI before and after neoadjuvant CRT showed a significant difference in the complete response group compared to the partial response group (P = 0.001 for complete responders vs. P = 0.482 for partial responders). Also, relative T2-WI signal intensity in the complete response group was statistically lower than that of the partial response group after neoadjuvant CRT (P = 0.006). CONCLUSION As a result of the conversion of tumor cells to fibrosis, the skewness of the T2-WI before and after neoadjuvant CRT was statistically different in the complete response group compared to the partial response group, and the complete response group showed statistically lower relative T2-WI signal intensity than the partial response group after neoadjuvant CRT. Additionally, the ADC cut-off value of 1310 × 10-6 mm2/s could be used as a marker for complete response along with absolute ADC value changes within this dataset.
Collapse
Affiliation(s)
- Sena Azamat
- Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey
- Basaksehir Cam and Sakura City Hospital, Istanbul, Turkey
| | - Şule Karaman
- Department of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Ibrahim Fethi Azamat
- Department of General Surgery, Faculty of Medicine, Koc University, Istanbul, Turke
| | - Gokhan Ertaş
- Biomedical Engineering Department, Yeditepe University, Istanbul, Turkey
| | - Cemil Burak Kulle
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Metin Keskin
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
- Department of General Surgery, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | | | - Barış Bakır
- Department of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Ethem Nezih Oral
- Department of Radiation Oncology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - Merve Gulbiz Kartal
- Department of Radiology, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| |
Collapse
|
40
|
Bates DD, Homsi ME, Chang K, Lalwani N, Horvat N, Sheedy S. MRI for Rectal Cancer: Staging, mrCRM, EMVI, Lymph Node Staging and Post-Treatment Response. Clin Colorectal Cancer 2022; 21:10-18. [PMID: 34895835 PMCID: PMC8966586 DOI: 10.1016/j.clcc.2021.10.007] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 10/26/2021] [Accepted: 10/31/2021] [Indexed: 12/16/2022]
Abstract
Rectal cancer is a relatively common malignancy in the United States. Magnetic resonance imaging (MRI) of rectal cancer has evolved tremendously in recent years, and has become a key component of baseline staging and treatment planning. In addition to assessing the primary tumor and locoregional lymph nodes, rectal MRI can be used to help with risk stratification by identifying high-risk features such as extramural vascular invasion and can assess treatment response for patients receiving neoadjuvant therapy. As the practice of rectal MRI continues to expand further into academic centers and private practices, standard MRI protocols, and reporting are critical. In addition, it is imperative that the radiologists reading these cases work closely with surgeons, medical oncologists, radiation oncologists, and pathologists to ensure we are providing the best possible care to patients. This review aims to provide a broad overview of the role of MRI for rectal cancer.
Collapse
Affiliation(s)
- David D.B. Bates
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Maria El Homsi
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Kevin Chang
- Department of Radiology, Boston University Medical Center, Boston, MA, USA
| | - Neeraj Lalwani
- Department of Radiology, Virginia Commonwealth University, Richmond, VA, USA
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Shannon Sheedy
- Department of Radiology, Mayo Clinic, Rochester, MN, USA
| |
Collapse
|
41
|
|
42
|
Taylor SA. Radiomics for MRI Prediction of Tumor Response after Chemoradiotherapy in Rectal Cancer. Radiology 2022; 303:359-360. [PMID: 35133201 DOI: 10.1148/radiol.212836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Stuart A Taylor
- From the UCL Centre for Medical Imaging, Division of Medicine, 2nd Floor Charles Bell House, 43-45 Foley St, London W1W 7TY, England
| |
Collapse
|
43
|
Miranda J, Tan GXV, Fernandes MC, Yildirim O, Sims JA, de Arimateia Batista Araujo-Filho J, Machado FADM, Assuncao AN, Nomura CH, Horvat N. Rectal MRI radiomics for predicting pathological complete response: Where we are. Clin Imaging 2022; 82:141-149. [PMID: 34826772 PMCID: PMC9119743 DOI: 10.1016/j.clinimag.2021.10.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 09/21/2021] [Accepted: 10/11/2021] [Indexed: 02/03/2023]
Abstract
Radiomics using rectal MRI radiomics has emerged as a promising approach in predicting pathological complete response. In this study, we present a typical pipeline of a radiomics analysis and review recent studies, exploring applications, development of radiomics methodologies and model construction in pCR prediction. Finally, we will offer our opinion about the future and discuss the next steps of rectal MRI radiomics for predicting pCR.
Collapse
Affiliation(s)
- Joao Miranda
- Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil,Department of Radiology, Diagnosticos da America SA (DASA), Sao Paulo, SP, Brazil
| | - Gary Xia Vern Tan
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Onur Yildirim
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - John A. Sims
- Department of Biomedical Engineering, Universidade Federal do ABC, Santo Andre, SP, Brazil
| | | | | | | | - Cesar Higa Nomura
- Department of Radiology, University of Sao Paulo, Sao Paulo, SP, Brazil,Department of Radiology, Hospital Sirio-Libanes, Sao Paulo, Brazil
| | - Natally Horvat
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| |
Collapse
|
44
|
Kuligina E, Moiseyenko F, Belukhin S, Stepanova E, Zakharova M, Chernobrivtseva V, Aliev I, Sharabura T, Moiseyenko V, Aleksakhina S, Laidus T, Martianov A, Kholmatov M, Whitehead A, Yanus G, Imyanitov E. Tumor irradiation may facilitate the detection of tumor-specific mutations in plasma. World J Clin Oncol 2021; 12:1215-1226. [PMID: 35070740 PMCID: PMC8716992 DOI: 10.5306/wjco.v12.i12.1215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Revised: 06/26/2021] [Accepted: 11/28/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The mutation-based analysis of circulating tumor DNA (ctDNA) is a promising diagnostic tool for clinical oncology. However, it has low success rate because many cancer patients do not have detectable ctDNA in the bloodstream.
AIM To evaluate whether preoperative tumor irradiation results in a transient increase of plasma ctDNA concentration due to the induction of apoptosis in radiation-exposed cells.
METHODS This study focused on patients with locally advanced rectal cancer, because preoperative tumor irradiation is a part of their standard treatment plan. Nine subjects, whose tumors contained KRAS, NRAS or BRAF mutations, donated serial blood samples 1 h prior to the first fraction of irradiation (at baseline), immediately after the first fraction (time 0), and 1, 3, 6, 12, 24, 36, 48, 72 and 96 h after the first fraction. The amount of mutated gene copies was measured by droplet digital PCR.
RESULTS Five out of nine patients were mutation-negative by ctDNA test at baseline; two of these subjects demonstrated an emergence of the mutated DNA copies in the bloodstream within the follow-up period. There were 4 patients, who had detectable ctDNA in the plasma at the start of the experiment; three of them showed an evident treatment-induced increase of the content of mutated RAS/RAF alleles.
CONCLUSION Local tumor irradiation may facilitate the detection of tumor-specific DNA in the bloodstream. These data justify further assessment of the clinical feasibility of irradiation-assisted liquid biopsy.
Collapse
Affiliation(s)
- Ekaterina Kuligina
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Fedor Moiseyenko
- Department of Therapy, City Cancer Center, St.-Petersburg 197758, Russia
| | - Sergey Belukhin
- Department of Surgery, City Cancer Center, St.-Petersburg 197758, Russia
| | | | - Maria Zakharova
- Department of Radiology, City Cancer Center, St.-Petersburg 197758, Russia
| | | | - Ikram Aliev
- Department of Surgery, City Cancer Center, St.-Petersburg 197758, Russia
| | - Tatiana Sharabura
- Department of Radiology, City Cancer Center, St.-Petersburg 197758, Russia
| | | | - Svetlana Aleksakhina
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Tatiana Laidus
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
| | - Aleksandr Martianov
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Maksim Kholmatov
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
| | - Aldon Whitehead
- Internal Medicine Residency Program, The University of Illinois College of Medicine, Chicago, IL 60612, United States
| | - Grigoriy Yanus
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
| | - Evgeny Imyanitov
- Department of Tumor Biology, N.N. Petrov Institute of Oncology, St.-Petersburg 197758, Russia
- Department of Medical Genetics, St.-Petersburg Pediatric Medical University, St.-Petersburg 194100, Russia
- Department of Oncology, I.I. Mechnikov Northwestern Medical University, St.-Petersburg 191015, Russia
| |
Collapse
|
45
|
Munk NE, Bondeven P, Pedersen BG. Diagnostic performance of MRI and endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy: a systematic review of the literature. Acta Radiol 2021; 64:20-31. [PMID: 34928715 DOI: 10.1177/02841851211065925] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
BACKGROUND The diagnostic performance of magnetic resonance imaging (MRI) modalities and/or endoscopy for assessing complete response in rectal cancer after neoadjuvant chemoradiotherapy (nCRT) is unclear. PURPOSE To summarize existing evidence on the diagnostic performance of diffusion-weighted MRI, perfusion-weighted MRI, T2-weighted MR tumor regression grade, and/or endoscopy for assessing complete tumor response after nCRT. MATERIAL AND METHODS MEDLINE and Embase databases were searched. The PRISMA guidelines were followed. Sensitivity, specificity, negative predictive, and positive predictive values were retrieved from included studies. RESULTS In total, 81 studies were eligible for inclusion. Evidence suggests that combined use of MRI and endoscopy tends to improve the diagnostic performance compared to single imaging modality. The positive predictive value of a complete response varies substantially between studies. There is considerable heterogeneity between studies. CONCLUSION Combined re-staging tends to improve diagnostic performance compared to single imaging modality, but the vast majority of studies fail to offer true clinical value due to the study heterogeneity.
Collapse
Affiliation(s)
| | - Peter Bondeven
- Department of Surgery, Regional Hospital Randers, Randers, Denmark
| | - Bodil Ginnerup Pedersen
- Department of Radiology, Aarhus University Hospital, Aarhus N, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus N, Denmark
| |
Collapse
|
46
|
Vendrely V, Rullier E. [Rectal Cancer: Organ preservation and neoadjuvant treatment escalation]. Bull Cancer 2021; 108:1126-1131. [PMID: 34802716 DOI: 10.1016/j.bulcan.2021.09.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Accepted: 09/17/2021] [Indexed: 11/15/2022]
Abstract
Standard treatment consisting of chemoradiotherapy followed by radical surgery with total mesorectal excision, results in good oncologic local control but high morbidity and poor functional results. Since chemoradiotherapy results in 15% pathological complete response, even reaching up to 30% in case of association with neoadjuvant chemotherapy, radical surgery has been recently debated for good responders. Therefore, a de-escalation strategy, by omitting radical surgery in good responders, has recently been developed with two different options: a watch and wait strategy, requiring an accurate clinical and radiological definition of complete response and a local excision strategy including patients with sub-complete response. Ongoing trials focus on response optimization by chemotherapy intensification or radiotherapy dose escalation. However, many questions are still to be answered regarding definition of complete response, follow-up strategy, morbidity of salvage surgery in case of recurrence as well as long-term oncological and functionnal results.
Collapse
Affiliation(s)
- Véronique Vendrely
- Hôpital Haut Lévêque, université de Bordeaux, service d'oncologie radiothérapie, avenue de Magellan, 33604 Pessac cédex, France.
| | - Eric Rullier
- Hôpital Haut Lévêque, université de Bordeaux, service de chirurgie centre Magellan, avenue de Magellan, 33604 Pessac cédex, France
| |
Collapse
|
47
|
Mendis S, To YH, Tie J. Biomarkers in Locally Advanced Rectal Cancer: A Review. Clin Colorectal Cancer 2021; 21:36-44. [PMID: 34961731 DOI: 10.1016/j.clcc.2021.11.002] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 11/03/2022]
Abstract
Locally advanced rectal cancers (LARC) are the subject of a rapidly evolving treatment paradigm. The critical timepoints where management decisions are required during the care of the LARC patient are: prior to the institution of any treatment, post neoadjuvant therapy and post-surgery. This article reviews the clinical, imaging, blood-based, tissue-based, and molecular biomarkers that can assist clinicians at these timepoints in the patient's management, in prognosticating for their LARC patients or in predicting responses to therapy in the multi-modality neoadjuvant treatment era.
Collapse
Affiliation(s)
- Shehara Mendis
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; 2. Western Health, Melbourne, VIC, Australia.
| | - Yat Hang To
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| | - Jeanne Tie
- Walter and Eliza Hall Institute, 1G Royal Parade, Parkville VIC 3052, Australia; Peter MacCallum Cancer Centre, Melbourne, VIC, Australia
| |
Collapse
|
48
|
Pathologic Complete Response Prediction after Neoadjuvant Chemoradiation Therapy for Rectal Cancer Using Radiomics and Deep Embedding Network of MRI. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11209494] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Assessment of magnetic resonance imaging (MRI) after neoadjuvant chemoradiation therapy (nCRT) is essential in rectal cancer staging and treatment planning. However, when predicting the pathologic complete response (pCR) after nCRT for rectal cancer, existing works either rely on simple quantitative evaluation based on radiomics features or partially analyze multi-parametric MRI. We propose an effective pCR prediction method based on novel multi-parametric MRI embedding. We first seek to extract volumetric features of tumors that can be found only by analyzing multiple MRI sequences jointly. Specifically, we encapsulate multiple MRI sequences into multi-sequence fusion images (MSFI) and generate MSFI embedding. We merge radiomics features, which capture important characteristics of tumors, with MSFI embedding to generate multi-parametric MRI embedding and then use it to predict pCR using a random forest classifier. Our extensive experiments demonstrate that using all given MRI sequences is the most effective regardless of the dimension reduction method. The proposed method outperformed any variants with different combinations of feature vectors and dimension reduction methods or different classification models. Comparative experiments demonstrate that it outperformed four competing baselines in terms of the AUC and F1-score. We use MRI sequences from 912 patients with rectal cancer, a much larger sample than in any existing work.
Collapse
|
49
|
Santiago I, Rodrigues B, Barata M, Figueiredo N, Fernandez L, Galzerano A, Parés O, Matos C. Re-staging and follow-up of rectal cancer patients with MR imaging when "Watch-and-Wait" is an option: a practical guide. Insights Imaging 2021; 12:114. [PMID: 34373961 PMCID: PMC8353037 DOI: 10.1186/s13244-021-01055-w] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2021] [Accepted: 06/30/2021] [Indexed: 12/11/2022] Open
Abstract
In the past nearly 20 years, organ-sparing when no apparent viable tumour is present after neoadjuvant therapy has taken an increasingly relevant role in the therapeutic management of locally-advanced rectal cancer patients. The decision to include a patient or not in a “Watch-and-Wait” program relies mainly on endoscopic assessment by skilled surgeons, and MR imaging by experienced radiologists. Strict surveillance using the same modalities is required, given the chance of a local regrowth is of approximately 25–30%, almost always surgically salvageable if caught early. Local regrowths occur at the endoluminal aspect of the primary tumour bed in almost 90% of patients, but the rest are deep within it or outside the rectal wall, in which case detection relies solely on MR Imaging. In this educational review, we provide a practical guide for radiologists who are, or intend to be, involved in the re-staging and follow-up of rectal cancer patients in institutions with an established “Watch-and-Wait” program. First, we discuss patient preparation and MR imaging acquisition technique. Second, we focus on the re-staging MR imaging examination and review the imaging findings that allow us to assess response. Third, we focus on follow-up assessments of patients who defer surgery and confer about the early signs that may indicate a sustained/non-sustained complete response, a rectal/extra-rectal regrowth, and the particular prognosis of the “near-complete” responders. Finally, we discuss our proposed report template.
Collapse
Affiliation(s)
- Inês Santiago
- Radiology Department, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal. .,Nova Medical School, Campo Mártires da Pátria 130, 1169-056, Lisbon, Portugal.
| | - Bernardete Rodrigues
- Centro Hospitalar de Tondela-Viseu, EPE, Av. Rei Duarte, 3504-509, Viseu, Portugal
| | - Maria Barata
- Radiology Department, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| | - Nuno Figueiredo
- Colorectal Surgery, Digestive Unit, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| | - Laura Fernandez
- Colorectal Surgery, Digestive Unit, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| | - Antonio Galzerano
- Pathology Department, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| | - Oriol Parés
- Radiation Oncology Department, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| | - Celso Matos
- Radiology Department, Champalimaud Foundation, Avenida Brasília, 1400-038, Lisbon, Portugal
| |
Collapse
|
50
|
Pang X, Wang F, Zhang Q, Li Y, Huang R, Yin X, Fan X. A Pipeline for Predicting the Treatment Response of Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer Using Single MRI Modality: Combining Deep Segmentation Network and Radiomics Analysis Based on "Suspicious Region". Front Oncol 2021; 11:711747. [PMID: 34422664 PMCID: PMC8371269 DOI: 10.3389/fonc.2021.711747] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/06/2021] [Indexed: 12/11/2022] Open
Abstract
Patients with locally advanced rectal cancer (LARC) who achieve a pathologic complete response (pCR) after neoadjuvant chemoradiotherapy (nCRT) typically have a good prognosis. An early and accurate prediction of the treatment response, i.e., whether a patient achieves pCR, could significantly help doctors make tailored plans for LARC patients. This study proposes a pipeline of pCR prediction using a combination of deep learning and radiomics analysis. Taking into consideration missing pre-nCRT magnetic resonance imaging (MRI), as well as aiming to improve the efficiency for clinical application, the pipeline only included a post-nCRT T2-weighted (T2-w) MRI. Unlike other studies that attempted to carefully find the region of interest (ROI) using a pre-nCRT MRI as a reference, we placed the ROI on a "suspicious region", which is a continuous area that has a high possibility to contain a tumor or fibrosis as assessed by radiologists. A deep segmentation network, termed the two-stage rectum-aware U-Net (tsraU-Net), is designed to segment the ROI to substitute for a time-consuming manual delineation. This is followed by a radiomics analysis model based on the ROI to extract the hidden information and predict the pCR status. The data from a total of 275 patients were collected from two hospitals and partitioned into four datasets: Seg-T (N = 88) for training the tsraUNet, Rad-T (N = 107) for building the radiomics model, In-V (N = 46) for internal validation, and Ex-V (N = 34) for external validation. The proposed method achieved an area under the curve (AUC) of 0.829 (95% confidence interval [CI]: 0.821, 0.837) on In-V and 0.815 (95% CI, 0.801, 0.830) on Ex-V. The performance of the method was considerable and stable in two validation sets, indicating that the well-designed pipeline has the potential to be used in real clinical procedures.
Collapse
Affiliation(s)
- Xiaolin Pang
- Department of Radiation Oncology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China
| | - Fang Wang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China
| | - Qianru Zhang
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Yan Li
- School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China
| | - Ruiyan Huang
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xinke Yin
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China
| | - Xinjuan Fan
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Supported by National Key Clinical Discipline, Guangzhou, China
- Department of Pathology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| |
Collapse
|