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Bai Z, Xu L, Ding Z, Cao Y, Wang Z, Yang W, Xu W, Li H. Artificial intelligence in magnetic resonance imaging for predicting lymph node metastasis in rectal cancer patients: a meta-analysis. Eur Radiol 2025:10.1007/s00330-025-11519-y. [PMID: 40220146 DOI: 10.1007/s00330-025-11519-y] [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: 12/03/2024] [Revised: 02/09/2025] [Accepted: 02/18/2025] [Indexed: 04/14/2025]
Abstract
OBJECTIVE This meta-analysis aims to evaluate the diagnostic performance of magnetic resonance imaging (MRI)-based artificial intelligence (AI) in the preoperative detection of lymph node metastasis (LNM) in patients with rectal cancer and to compare it with the diagnostic performance of radiologists. METHODS A thorough literature search was conducted across PubMed, Embase, and Web of Science to identify relevant studies published up to September 2024. The selected studies focused on the diagnostic performance of MRI-based AI in detecting rectal cancer LNM. A bivariate random-effects model was employed to calculate pooled sensitivity and specificity, each reported with 95% confidence intervals (CIs). Study heterogeneity was assessed using the I2 statistic. Furthermore, the modified quality assessment of diagnostic accuracy studies-2 (QUADAS-2) tool was applied to assess the methodological quality of the selected studies. RESULTS Seventeen studies were included in this meta-analysis. The pooled sensitivity, specificity, and area under the curve (AUC) for MRI-based AI in detecting preoperative LNM in rectal cancer were 0.71 (95% CI: 0.66-0.74), 0.71 (95% CI: 0.67-0.75), and 0.77 (95% CI: 0.73-0.80), respectively. For radiologists, these values were 0.64 (95% CI: 0.49-0.77), 0.72 (95% CI: 0.62-0.80), and 0.74 (95% CI: 0.68-0.80). Both analyses showed no significant publication bias (p > 0.05). CONCLUSIONS MRI-based AI demonstrates diagnostic performance similar to that of radiologists. The high heterogeneity among studies limits the strength of these findings, and further research with external validation datasets is necessary to confirm the results and assess their practical clinical value. KEY POINTS Question How effective is MRI-based AI in detecting LNM in rectal cancer patients compared to traditional radiology methods? Findings The diagnostic performance of MRI-based AI is comparable to radiologists, with pooled sensitivity and specificity both at 0.71, indicating moderate accuracy. Clinical relevance Integrating MRI-based AI can enhance diagnostic efficiency in identifying LNM, especially in settings with limited access to skilled radiologists, but requires further validation.
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Affiliation(s)
- Zhiqiang Bai
- Department of General Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Lumin Xu
- Department of General Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Zujun Ding
- Department of Anorectal surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Yi Cao
- Department of General Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Zepeng Wang
- Department of General Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Wenjie Yang
- Department of Neurosurgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Wei Xu
- Department of Neurosurgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China
| | - Hang Li
- Department of General Surgery, The Affiliated Hospital of Hangzhou Normal University, Hangzhou, China.
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Xu M, Wang Z, Qiao XF, Liao H, Su DK. A nomogram model for predicting lymph node metastasis of rectal cancer by combining preoperative magnetic resonance imaging signs and tumour markers. Pol J Radiol 2025; 90:e114-e123. [PMID: 40321712 PMCID: PMC12049155 DOI: 10.5114/pjr/200612] [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] [Received: 01/16/2025] [Accepted: 01/29/2025] [Indexed: 05/08/2025] Open
Abstract
Purpose This study aimed to explore the diagnostic value of high-resolution magnetic resonance images and tumour markers in predicting lymph node metastasis of rectal cancer. Material and methods The clinical, imaging, and pathological data of patients with suspected rectal cancer were collected. The baseline data, and surgical and pathological characteristics were compared between the lymph node metastasis group and no metastasis group. Univariate and multivariate logistic regression were used to analyse the clinical and pathological factors, and preoperative magnetic resonance imaging (MRI) signs of extramural vascular invasion and rectal cancer lymph node metastasis. A nomogram model was established with statistically significant factors. Results 150 patients were included. Among them, 50 (33.3%) presented with vascular tumour thrombus, and 72 (48.0%) had lymph node metastasis. The detection of regional lymph nodes (DWI-LN) was an independent risk factor for lymph node metastasis. The area under curve of the nomogram model was 0.804. Conclusion Preoperative serum CA19.9, and the relationship between tumour and peritoneal reflection in preoperative MRI and DWI-LN have clinical value in predicting lymph node metastasis in patients with rectal cancer.
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Affiliation(s)
- Meihai Xu
- Guangxi Medical University Cancer Hospital, China
| | - Zheng Wang
- Guangxi Medical University Cancer Hospital, China
| | - Xiu-Feng Qiao
- The Fifth Affiliated Hospital of Guangxi Medical University, China
| | - Hai Liao
- Guangxi Medical University Cancer Hospital, China
| | - Dan-Ke Su
- Guangxi Medical University Cancer Hospital, China
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Yin H, Liu W, Xue Q, Song C, Ren J, Li Z, Wang D, Wang K, Han D, Yan R. The value of restriction spectrum imaging in predicting lymph node metastases in rectal cancer: a comparative study with diffusion-weighted imaging and diffusion kurtosis imaging. Insights Imaging 2024; 15:302. [PMID: 39699826 DOI: 10.1186/s13244-024-01852-z] [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: 06/16/2024] [Accepted: 10/22/2024] [Indexed: 12/20/2024] Open
Abstract
BACKGROUND To investigate the efficacy of three-compartment restriction spectrum imaging (RSI), diffusion kurtosis imaging (DKI), and diffusion-weighted imaging (DWI) in the assessment of lymph node metastases (LNM) in rectal cancer. METHODS A total of 77 patients with rectal cancer who underwent pelvic MRI were enrolled. RSI-derived parameters (f1, f2, and f3), DKI-derived parameters (Dapp and Kapp), and the DWI-derived parameter (ADC) were calculated and compared using a Mann-Whitney U test or independent samples t-test. Logistic regression (LR) analysis was used to identify independent predictors of LNM status. Area under the receiver operating characteristic curve (AUC) and Delong analysis were performed to assess the diagnostic performance of each parameter. RESULTS The LNM-positive group exhibited significantly higher f1 and Kapp levels and significantly lower f3, Dapp, and ADC levels compared to the LNM-negative group (p < 0.05). There was no difference in f2 levels between the two groups (p = 0.783). LR analysis showed that Dapp and Kapp were independent predictors of a positive LNM status. AUC and Delong analysis showed that DKI (Dapp + Kapp) exhibited significantly higher diagnostic efficacy (AUC = 0.908; sensitivity = 87.10%; specificity = 86.96%) than RSI (f1 + f3) and DWI (ADC), with AUCs were 0.842 and 0.771 (Z = 2.113, 3.453; p = 0.035, < 0.001, respectively). The AUC performance between RSI and DWI was also statistically significant (Z = 1.972, p = 0.049). CONCLUSION The RSI model is superior to conventional DWI but inferior to DKI in differentiation between LNM-positive and LNM-negative rectal cancers. Further study is needed before it could serve as a promising biomarker for guiding effective treatment strategies. CRITICAL RELEVANCE STATEMENT The three-compartment restriction spectrum imaging was able to differentiate between LNM-positive and LNM-negative rectal cancers with high accuracy, which has the potential to serve as a promising biomarker that could guide treatment strategies. KEY POINTS Three-compartment restriction spectrum imaging could differentiate lymph node metastases in rectal cancer. Diffusion kurtosis imaging and diffusion-weighted were associated with lymph node metastases in rectal cancer. The combination of different parameters has the potential to serve as a promising biomarker.
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Affiliation(s)
- Huijia Yin
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Wenling Liu
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Qin Xue
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Chen Song
- Hematology Laboratory, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China
| | - Jipeng Ren
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Ziqiang Li
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China
| | - Dongdong Wang
- Department of Radiology, People's Hospital of Zhengzhou, Zhengzhou, 450000, PR China
| | - Kaiyu Wang
- MR Research China, GE Healthcare, Beijing, China
| | - Dongming Han
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
| | - Ruifang Yan
- Department of MR, The First Affiliated Hospital, Xinxiang Medical University, Weihui, China.
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Curcean S, Curcean A, Martin D, Fekete Z, Irimie A, Muntean AS, Caraiani C. The Role of Predictive and Prognostic MRI-Based Biomarkers in the Era of Total Neoadjuvant Treatment in Rectal Cancer. Cancers (Basel) 2024; 16:3111. [PMID: 39272969 PMCID: PMC11394290 DOI: 10.3390/cancers16173111] [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: 08/13/2024] [Revised: 09/02/2024] [Accepted: 09/06/2024] [Indexed: 09/15/2024] Open
Abstract
The role of magnetic resonance imaging (MRI) in rectal cancer management has significantly increased over the last decade, in line with more personalized treatment approaches. Total neoadjuvant treatment (TNT) plays a pivotal role in the shift from traditional surgical approach to non-surgical approaches such as 'watch-and-wait'. MRI plays a central role in this evolving landscape, providing essential morphological and functional data that support clinical decision-making. Key MRI-based biomarkers, including circumferential resection margin (CRM), extramural venous invasion (EMVI), tumour deposits, diffusion-weighted imaging (DWI), and MRI tumour regression grade (mrTRG), have proven valuable for staging, response assessment, and patient prognosis. Functional imaging techniques, such as dynamic contrast-enhanced MRI (DCE-MRI), alongside emerging biomarkers derived from radiomics and artificial intelligence (AI) have the potential to transform rectal cancer management offering data that enhance T and N staging, histopathological characterization, prediction of treatment response, recurrence detection, and identification of genomic features. This review outlines validated morphological and functional MRI-derived biomarkers with both prognostic and predictive significance, while also exploring the potential of radiomics and artificial intelligence in rectal cancer management. Furthermore, we discuss the role of rectal MRI in the 'watch-and-wait' approach, highlighting important practical aspects in selecting patients for non-surgical management.
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Affiliation(s)
- Sebastian Curcean
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Andra Curcean
- Department of Imaging, Affidea Center, 15c Ciresilor Street, 400487 Cluj-Napoca, Romania
| | - Daniela Martin
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Zsolt Fekete
- Department of Radiation Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Alexandru Irimie
- Department of Oncological Surgery and Gynecological Oncology, Iuliu Hatieganu University of Medicine and Pharmacy, 8 Victor Babes Street, 400012 Cluj-Napoca, Romania
- Department of Oncological Surgery, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Alina-Simona Muntean
- Department of Radiation Oncology, 'Prof. Dr. Ion Chiricuta' Oncology Institute, 34-36 Republicii Street, 400015 Cluj-Napoca, Romania
| | - Cosmin Caraiani
- Department of Medical Imaging and Nuclear Medicine, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania
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Ouchi A, Iwahori Y, Suzuki K, Funahashi K, Fukui S, Komori K, Kinoshita T, Sato Y, Shimizu Y. Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center. Dis Colon Rectum 2024; 67:1131-1138. [PMID: 39122242 DOI: 10.1097/dcr.0000000000003381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/15/2024]
Abstract
BACKGROUND Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement. OBJECTIVE The study aimed to establish a high-precision diagnostic method for lymph node metastasis of low rectal cancer using artificial intelligence. DESIGN A retrospective observational study. SETTINGS A single cancer center and a college of engineering in Japan. PATIENTS Patients with low rectal adenocarcinoma who underwent proctectomy, bilateral lateral pelvic lymph node dissection, and contrast-enhanced multidetector row CT (slice ≤1 mm) between July 2015 and August 2021 were included in the present study. All pelvic lymph nodes from the aortic bifurcation to the upper edge of the anal canal were extracted, regardless of whether within or beyond the total mesenteric excision area, and pathological diagnoses were annotated for training and validation. MAIN OUTCOME MEASURES Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy. RESULTS A total of 596 pathologically negative nodes and 43 positive nodes from 52 patients were extracted and annotated. Four diagnostic methods, with and without using super-resolution images and with and without using 3-dimensional shape data, were performed and compared. The super-resolution + 3-dimensional shape data method had the best diagnostic ability for the combination of sensitivity, negative predictive value, and accuracy (0.964, 0.966, and 0.968, respectively), whereas the super-resolution only method had the best diagnostic ability for the combination of specificity and positive predictive value (0.994 and 0.993, respectively). LIMITATIONS Small number of patients at a single center and the lack of external validation. CONCLUSIONS Our results enlightened the potential of artificial intelligence for the method to become another game changer in the diagnosis and treatment of low rectal cancer. See Video Abstract . DIAGNSTICO POR IMGENES CON INTELIGENCIA ARTIFICIAL MEDIANTE SUPERRESOLUCIN Y FORMA D PARA LA METSTASIS EN LOS GANGLIOS LINFTICOS DEL CNCER DE RECTO BAJO UN ESTUDIO PILOTO DE UN SOLO CENTRO ANTECEDENTES:Aunque el diagnóstico preoperatorio preciso de metástasis en los ganglios linfáticos es esencial para optimizar las estrategias de tratamiento para el cáncer de recto bajo, la precisión de las modalidades de diagnóstico actuales tiene margen de mejora.OBJETIVO:Establecer un método de diagnóstico de alta precisión para las metástasis en los ganglios linfáticos del cáncer de recto bajo utilizando inteligencia artificial.DISEÑO:Un estudio observacional retrospectivo.AJUSTE:Un único centro oncológico y una facultad de ingeniería en Japón.PACIENTES:En el presente estudio se incluyeron pacientes con adenocarcinoma rectal bajo sometidos a proctectomía, disección bilateral de ganglios linfáticos pélvicos laterales y tomografía computarizada con múltiples detectores con contraste (corte ≤1 mm) entre julio de 2015 y agosto de 2021. Se resecaron todos los ganglios linfáticos pélvicos desde la bifurcación aórtica hasta el borde superior del canal anal, independientemente de si estaban dentro o más allá del área de escisión mesentérica total, y se registraron los diagnósticos patológicos para entrenamiento y validación.PRINCIPALES MEDIDAS DE RESULTADO:Sensibilidad, especificidad, valor predictivo positivo, valor predictivo negativo y precisión.RESULTADOS:Se extrajeron y registraron un total de 596 ganglios patológicamente negativos y 43 positivos de 52 pacientes. Se realizaron y compararon cuatro métodos de diagnóstico, con y sin imágenes de súper resolución y sin datos de imagen en 3D. El método de superresolución + datos de imagen en 3D tuvo la mejor capacidad de diagnóstico para la combinación de sensibilidad, valor predictivo negativo y precisión (0,964, 0,966 y 0,968, respectivamente), mientras que el método de súper resolución solo tuvo la mejor capacidad de diagnóstico para la combinación de especificidad y valor predictivo positivo (0,994 y 0,993, respectivamente).LIMITACIONES:Pequeño número de pacientes en un solo centro y falta de validación externa.CONCLUSIONES:Nuestros resultados iluminan el potencial de la inteligencia artificial para que el método se convierta en otro elemento de cambio en el diagnóstico y tratamiento del cáncer de recto bajo. (Traducción ---Dr. Fidel Ruiz Healy ).
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Affiliation(s)
- Akira Ouchi
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan
| | - Yuji Iwahori
- Department of Computer Science, College of Engineering, Chubu University, Aichi, Japan
| | - Kosuke Suzuki
- Department of Engineering, Nagoya Institute of Technology, Aichi, Japan
| | - Kenji Funahashi
- Department of Engineering, Nagoya Institute of Technology, Aichi, Japan
| | - Shinji Fukui
- Department of Information Education, Aichi University of Education, Aichi, Japan
| | - Koji Komori
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan
| | - Takashi Kinoshita
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan
| | - Yusuke Sato
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan
| | - Yasuhiro Shimizu
- Department of Gastroenterological Surgery, Aichi Cancer Center Hospital, Aichi, Japan
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Zhou M, Bao D, Huang H, Chen M, Jiang W. Utilization of diffusion-weighted derived mathematical models to predict prognostic factors of resectable rectal cancer. Abdom Radiol (NY) 2024; 49:3282-3293. [PMID: 38744701 DOI: 10.1007/s00261-024-04239-2] [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: 12/21/2023] [Revised: 02/05/2024] [Accepted: 02/05/2024] [Indexed: 05/16/2024]
Abstract
PURPOSE This study explored models of monoexponential diffusion-weighted imaging (DWI), diffusion kurtosis imaging (DKI), stretched exponential (SEM), fractional-order calculus (FROC), and continuous-time random-walk (CTRW) as diagnostic tools for assessing pathological prognostic factors in patients with resectable rectal cancer (RRC). METHODS RRC patients who underwent radical surgery were included. The apparent diffusion coefficient (ADC), the mean kurtosis (MK) and mean diffusion (MD) from the DKI model, the distributed diffusion coefficient (DDC) and α from the SEM model, D, β and u from the FROC model, and D, α and β from the CTRW model were assessed. RESULTS There were a total of 181 patients. The area under the receiver operating characteristic (ROC) curve (AUC) of CTRW-α for predicting histology type was significantly higher than that of FROC-u (0.780 vs. 0.671, p = 0.043). The AUC of CTRW-α for predicting pT stage was significantly higher than that of FROC-u and ADC (0.786 vs.0.683, p = 0.043; 0.786 vs. 0.682, p = 0.030), the difference in predictive efficacy of FROC-u between ADC and MK was not statistically significant [0.683 vs. 0.682, p = 0.981; 0.683 vs. 0.703, p = 0.720]; the difference between the predictive efficacy of MK and ADC was not statistically significant (p = 0.696). The AUC of CTRW (α + β) (0.781) was significantly higher than that of FROC-u (0.781 vs. 0.625, p = 0.003) in predicting pN stage but not significantly different from that of MK (p = 0.108). CONCLUSION The CTRW and DKI models may serve as imaging biomarkers to predict pathological prognostic factors in RRC patients before surgery.
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Affiliation(s)
- Mi Zhou
- Department of Radiology, Sichuan Provincial Orthopedic Hospital, Chengdu, China.
| | - Deying Bao
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Hongyun Huang
- Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, 610072, China
| | - Meining Chen
- Department of MR Scientific Marketing, Siemens Healthineers, Shanghai, 200135, China
| | - Wenli Jiang
- Department of Radiology, Second Affiliated Hospital of Chongqing University of Medical Sciences, Chongqing, 400010, China
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Wu S, Wang N, Ao W, Hu J, Xu W, Mao G. Deep learning-based multi-parametric magnetic resonance imaging (mp-MRI) nomogram for predicting Ki-67 expression in rectal cancer. Abdom Radiol (NY) 2024; 49:3003-3014. [PMID: 38489038 DOI: 10.1007/s00261-024-04232-9] [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: 12/21/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 03/17/2024]
Abstract
PURPOSE To explore the value of deep learning-based multi-parametric magnetic resonance imaging (mp-MRI) nomogram in predicting the Ki-67 expression in rectal cancer. METHODS The data of 491 patients with rectal cancer from two centers were retrospectively analyzed and divided into training, internal validation, and external validation sets. They were categorized into high- and low-expression group based on postoperative pathological Ki-67 expression. Each patient's mp-MRI data were analyzed to extract and select the most relevant features of deep learning, and a deep learning model was constructed. Independent predictive risk factors were identified and incorporated into a clinical model, and the clinical and deep learning models were combined to obtain a nomogram for the prediction of Ki-67 expression. The performance characteristics of the DL-model, clinical model, and nomogram were assessed using ROCs, calibration curve, decision curve, and clinical impact curve analysis. RESULTS The strongest deep learning features were extracted and screened from mp-MRI data. Two independent predictive factors, namely Magnetic Resonance Imaging T (mrT) staging and differentiation degree, were identified through clinical feature selection. Three models were constructed: a deep learning (DL)-model, a clinical model, and a nomogram. The AUCs of clinical model in the training, internal validation, and external validation set were 0.69, 0.78, and 0.67, respectively. The AUCs of the deep model and nomogram ranged from 0.88 to 0.98. The prediction performance of the deep learning model and nomogram was significantly better than the clinical model (P < 0.001). CONCLUSION The nomogram based on deep learning can help clinicians accurately and conveniently predict the expression status of Ki-67 in rectal cancer.
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Affiliation(s)
- Sikai Wu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Neng Wang
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Weiqun Ao
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China
| | - Jinwen Hu
- Department of Radiology, Putuo People's Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Wenjie Xu
- Zhejiang Chinese Medical University, Hangzhou, Zhejiang, China
| | - Guoqun Mao
- Department of Radiology, Tongde Hospital of Zhejiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China.
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Noto B, Eveslage M, Auf der Springe K, Exler A, Faldum A, Heindel W, Milachowski S, Roll W, Schäfers M, Stegger L, Bauer J. Robustness of apparent diffusion coefficient-based lymph node classification for diagnosis of prostate cancer metastasis. Eur Radiol 2024; 34:4504-4515. [PMID: 38099965 PMCID: PMC11213742 DOI: 10.1007/s00330-023-10406-8] [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: 06/01/2023] [Revised: 09/01/2023] [Accepted: 10/01/2023] [Indexed: 06/29/2024]
Abstract
OBJECTIVES The aim of this proof-of-principle study combining data analysis and computer simulation was to evaluate the robustness of apparent diffusion coefficient (ADC) values for lymph node classification in prostate cancer under conditions comparable to clinical practice. MATERIALS AND METHODS To assess differences in ADC and inter-rater variability, ADC values of 359 lymph nodes in 101 patients undergoing simultaneous prostate-specific membrane antigen (PSMA)-PET/MRI were retrospectively measured by two blinded readers and compared in a node-by-node analysis with respect to lymph node status. In addition, a phantom and 13 patients with 86 lymph nodes were prospectively measured on two different MRI scanners to analyze inter-scanner agreement. To estimate the diagnostic quality of the ADC in real-world application, a computer simulation was used to emulate the blurring caused by scanner and reader variability. To account for intra-individual correlation, the statistical analyses and simulations were based on linear mixed models. RESULTS The mean ADC of lymph nodes showing PSMA signals in PET was markedly lower (0.77 × 10-3 mm2/s) compared to inconspicuous nodes (1.46 × 10-3 mm2/s, p < 0.001). High inter-reader agreement was observed for ADC measurements (ICC 0.93, 95%CI [0.92, 0.95]). Good inter-scanner agreement was observed in the phantom study and confirmed in vivo (ICC 0.89, 95%CI [0.84, 0.93]). With a median AUC of 0.95 (95%CI [0.92, 0.97]), the simulation study confirmed the diagnostic potential of ADC for lymph node classification in prostate cancer. CONCLUSION Our model-based simulation approach implicates a high potential of ADC for lymph node classification in prostate cancer, even when inter-rater and inter-scanner variability are considered. CLINICAL RELEVANCE STATEMENT The ADC value shows a high diagnostic potential for lymph node classification in prostate cancer. The robustness to scanner and reader variability implicates that this easy to measure and widely available method could be readily integrated into clinical routine. KEY POINTS • The diagnostic value of the apparent diffusion coefficient (ADC) for lymph node classification in prostate cancer is unclear in the light of inter-rater and inter-scanner variability. • Metastatic and inconspicuous lymph nodes differ significantly in ADC, resulting in a high diagnostic potential that is robust to inter-scanner and inter-rater variability. • ADC has a high potential for lymph node classification in prostate cancer that is maintained under conditions comparable to clinical practice.
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Affiliation(s)
- Benjamin Noto
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany.
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany.
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany.
- West German Cancer Centre (WTZ), University Hospital Münster, Münster, Germany.
| | - Maria Eveslage
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany.
| | | | - Anne Exler
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany
| | - Andreas Faldum
- Institute of Biostatistics and Clinical Research, University of Münster, Münster, Germany
| | - Walter Heindel
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
- West German Cancer Centre (WTZ), University Hospital Münster, Münster, Germany
| | - Stanislaw Milachowski
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
| | - Wolfgang Roll
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany
- West German Cancer Centre (WTZ), University Hospital Münster, Münster, Germany
| | - Michael Schäfers
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany
- West German Cancer Centre (WTZ), University Hospital Münster, Münster, Germany
| | - Lars Stegger
- Department of Nuclear Medicine, University Hospital Münster, Münster, Germany
- West German Cancer Centre (WTZ), University Hospital Münster, Münster, Germany
| | - Jochen Bauer
- Clinic for Radiology, University of Münster and University Hospital Münster, Münster, Germany
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Salmerón-Ruiz A, Luengo Gómez D, Medina Benítez A, Láinez Ramos-Bossini AJ. Primary staging of rectal cancer on MRI: an updated pictorial review with focus on common pitfalls and current controversies. Eur J Radiol 2024; 175:111417. [PMID: 38484688 DOI: 10.1016/j.ejrad.2024.111417] [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: 12/28/2023] [Revised: 02/23/2024] [Accepted: 03/06/2024] [Indexed: 10/04/2024]
Abstract
Magnetic resonance imaging (MRI) plays a pivotal role in primary staging of rectal cancer, enabling the determination of appropriate management strategies and prediction of patient outcomes. However, inconsistencies and pitfalls exist in various aspects, including rectal anatomy, MRI protocols and strategies for artifact resolution, as well as in T- and N-staging, all of which limit the diagnostic value of MRI. This narrative and pictorial review offers a comprehensive overview of factors influencing primary staging of rectal cancer and the role of MRI in assessing them. It highlights the significance of the circumferential resection margin and its relationship with the mesorectal fascia, as well as the prognostic role of extramural venous invasion and tumor deposits. Special attention is given to tumors of the lower rectum due to their complex anatomy and the challenges they pose in MRI staging. The review also addresses current controversies in rectal cancer staging and the need for personalized risk stratification. In summary, this review provides valuable insights into the role of MRI in the primary staging of rectal cancer, emphasizing key aspects for accurate assessment to enhance patient outcomes.
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Affiliation(s)
- A Salmerón-Ruiz
- Abdominal Radiology Section. Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014. Granada, Spain; Advanced Medical Imaging Group (TeCe22), Instituto Biosanitario de Granada (ibs.GRANADA). 18016 Granada, Spain
| | - D Luengo Gómez
- Abdominal Radiology Section. Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014. Granada, Spain; Advanced Medical Imaging Group (TeCe22), Instituto Biosanitario de Granada (ibs.GRANADA). 18016 Granada, Spain
| | - A Medina Benítez
- Abdominal Radiology Section. Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014. Granada, Spain
| | - A J Láinez Ramos-Bossini
- Abdominal Radiology Section. Department of Radiology, Hospital Universitario Virgen de las Nieves, 18014. Granada, Spain; Advanced Medical Imaging Group (TeCe22), Instituto Biosanitario de Granada (ibs.GRANADA). 18016 Granada, Spain.
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10
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Ye YX, Yang L, Kang Z, Wang MQ, Xie XD, Lou KX, Bao J, Du M, Li ZX. Magnetic resonance imaging-based lymph node radiomics for predicting the metastasis of evaluable lymph nodes in rectal cancer. World J Gastrointest Oncol 2024; 16:1849-1860. [PMID: 38764830 PMCID: PMC11099437 DOI: 10.4251/wjgo.v16.i5.1849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 01/23/2024] [Accepted: 03/04/2024] [Indexed: 05/09/2024] Open
Abstract
BACKGROUND Lymph node (LN) staging in rectal cancer (RC) affects treatment decisions and patient prognosis. For radiologists, the traditional preoperative assessment of LN metastasis (LNM) using magnetic resonance imaging (MRI) poses a challenge. AIM To explore the value of a nomogram model that combines Conventional MRI and radiomics features from the LNs of RC in assessing the preoperative metastasis of evaluable LNs. METHODS In this retrospective study, 270 LNs (158 nonmetastatic, 112 metastatic) were randomly split into training (n = 189) and validation sets (n = 81). LNs were classified based on pathology-MRI matching. Conventional MRI features [size, shape, margin, T2-weighted imaging (T2WI) appearance, and CE-T1-weighted imaging (T1WI) enhancement] were evaluated. Three radiomics models used 3D features from T1WI and T2WI images. Additionally, a nomogram model combining conventional MRI and radiomics features was developed. The model used univariate analysis and multivariable logistic regression. Evaluation employed the receiver operating characteristic curve, with DeLong test for comparing diagnostic performance. Nomogram performance was assessed using calibration and decision curve analysis. RESULTS The nomogram model outperformed conventional MRI and single radiomics models in evaluating LNM. In the training set, the nomogram model achieved an area under the curve (AUC) of 0.92, which was significantly higher than the AUCs of 0.82 (P < 0.001) and 0.89 (P < 0.001) of the conventional MRI and radiomics models, respectively. In the validation set, the nomogram model achieved an AUC of 0.91, significantly surpassing 0.80 (P < 0.001) and 0.86 (P < 0.001), respectively. CONCLUSION The nomogram model showed the best performance in predicting metastasis of evaluable LNs.
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Affiliation(s)
- Yong-Xia Ye
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Liu Yang
- Department of Colorectal Surgery, Jiangsu Cancer Hospital and Jiangsu Institute of Cancer Research and The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210000, Jiangsu Province, China
| | - Zheng Kang
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Mei-Qin Wang
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Xiao-Dong Xie
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Ke-Xin Lou
- Department of Pathology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Jun Bao
- Colorectal Center, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Mei Du
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
| | - Zhe-Xuan Li
- Department of Radiology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Nanjing 210011, Jiangsu Province, China
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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.
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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.)
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12
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Qu J, Pan B, Su T, Chen Y, Zhang T, Chen X, Zhu X, Xu Z, Wang T, Zhu J, Zhang Z, Feng F, Jin Z. T1 and T2 mapping for identifying malignant lymph nodes in head and neck squamous cell carcinoma. Cancer Imaging 2023; 23:125. [PMID: 38105217 PMCID: PMC10726506 DOI: 10.1186/s40644-023-00648-6] [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: 09/05/2023] [Accepted: 12/04/2023] [Indexed: 12/19/2023] Open
Abstract
BACKGROUND This study seeks to assess the utility of T1 and T2 mapping in distinguishing metastatic lymph nodes from reactive lymphadenopathy in patients with head and neck squamous cell carcinoma (HNSCC), using diffusion-weighted imaging (DWI) as a comparison. METHODS Between July 2017 and November 2019, 46 HNSCC patients underwent neck MRI inclusive of T1 and T2 mapping and DWI. Quantitative measurements derived from preoperative T1 and T2 mapping and DWI of metastatic and non-metastatic lymph nodes were compared using independent samples t-test or Mann-Whitney U test. Receiver operating characteristic curves and the DeLong test were employed to determine the most effective diagnostic methodology. RESULTS We examined a total of 122 lymph nodes, 45 (36.9%) of which were metastatic proven by pathology. Mean T2 values for metastatic lymph nodes were significantly lower than those for benign lymph nodes (p < 0.001). Conversely, metastatic lymph nodes exhibited significantly higher apparent diffusion coefficient (ADC) and standard deviation of T1 values (T1SD) (p < 0.001). T2 generated a significantly higher area under the curve (AUC) of 0.890 (0.826-0.954) compared to T1SD (0.711 [0.613-0.809]) and ADC (0.660 [0.562-0.758]) (p = 0.007 and p < 0.001). Combining T2, T1SD, ADC, and lymph node size achieved an AUC of 0.929 (0.875-0.983), which did not significantly enhance diagnostic performance over using T2 alone (p = 0.089). CONCLUSIONS The application of T1 and T2 mapping is feasible in differentiating metastatic from non-metastatic lymph nodes in HNSCC and can improve diagnostic efficacy compared to DWI.
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Affiliation(s)
- Jiangming Qu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Boju Pan
- Department of Pathology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Tong Su
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Yu Chen
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
| | - Tao Zhang
- Department of Stomatology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Xingming Chen
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Xiaoli Zhu
- Department of Otolaryngology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Zhentan Xu
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Tianjiao Wang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Jinxia Zhu
- MR Research Collaboration, Siemens Healthineers Ltd, Beijing, China
| | - Zhuhua Zhang
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
| | - Feng Feng
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China
| | - Zhengyu Jin
- Department of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical Union Medical College, No.1 Shuaifuyuan Wangfujing Dongcheng District, Beijing, 100730, China.
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Xiao B, Yu J, Ding PR. Nonoperative Management of dMMR/MSI-H Colorectal Cancer following Neoadjuvant Immunotherapy: A Narrative Review. Clin Colon Rectal Surg 2023; 36:378-384. [PMID: 37795463 PMCID: PMC10547541 DOI: 10.1055/s-0043-1767703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/06/2023]
Abstract
Immunotherapy with PD-1 blockade has achieved a great success in colorectal cancers (CRCs) with high microsatellite instability (MSI-H) and deficient mismatch repair (dMMR), and has become the first-line therapy in metastatic setting. Studies of neoadjuvant immunotherapy also report exciting results, showing high rates of clinical complete response (cCR) and pathological complete response. The high efficacy and long duration of response of immunotherapy has prompt attempts to adopt watch-and-wait strategy for patients achieving cCR following the treatment. Thankfully, the watch-and-wait approach has been proposed for nearly 20 years for patients undergoing chemoradiotherapy and has gained ground among patients as well as clinicians. In this narrative review, we combed through the available information on immunotherapy for CRC and on the watch-and-wait strategy in chemoradiotherapy, and looked forward to a future where neoadjuvant immunotherapy as a curative therapy would play a big part in the treatment of MSI-H/dMMR CRC.
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Affiliation(s)
- Binyi Xiao
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Jiehai Yu
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
| | - Pei-Rong Ding
- Department of Colorectal Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center of Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, P. R. China
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14
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Lv B, Yuan L, Li J, Kong X, Cheng Y, Shang K, Jin E. Predictive value of infiltrating tumor border configuration of rectal cancer on MRI. BMC Med Imaging 2023; 23:155. [PMID: 37828450 PMCID: PMC10571450 DOI: 10.1186/s12880-023-01118-y] [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: 01/28/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Infiltrating tumor border configuration (iTBC) is assessed by postoperative pathological examination, thus, is not helpful for preoperative treatment strategies. The study aimed to detect iTBC by magnetic resonance imaging (MRI) and evaluate its predictive value. MATERIALS AND METHODS A total of 153 patients with rectal cancer were retrospectively analyzed. Clinicopathological and MRI data mainly including tumor border configuration (TBC) on MRI, MRI-detected extramural vascular invasion (MEMVI), tumor length, tumor growth pattern, maximal extramural depth, pathology-proven lymph node metastasis (PLN) and pathology-proven extramural vascular invasion (PEMVI) were analyzed. The correlation of MRI factors with PEMVI and PLN was analyzed by univariate and multivariate logistic regression analyses. The nomograms were established based on multivariate logistic regression analysis and were confirmed by Bootstrap self-sampling. The receiver operating characteristic (ROC) curve analysis and area under the curve (AUC) were used to evaluate the diagnostic efficiency. RESULTS Fifty cases of PEMVI and 48 cases of PLN were found. Forty cases of PEMVI and 34 cases of PLN in 62 cases of iTBC were also found. iTBC, MEMVI and maximal extramural depth were significantly associated with PEMVI and PLN (P < 0.05). iTBC (odds ratio = 3.84 and 3.02) and MEMVI (odds ratio = 7.27 and 3.22) were independent risk factors for PEMVI and PLN. The C-indices of the two nomograms for predicting PEMVI and PLN were 0.863 and 0.752, respectively. The calibration curves and ROC curves of the two nomograms showed that the correlation between the predicted and the actual incidence of PEMVI and PLN was good. The AUCs of iTBC for predicting PEMVI and PLN were 0.793 (95% CI: 0.714-0.872) and 0.721 (95% CI: 0.632-0.810), respectively. The DeLong test showed that the predictive efficiency of the nomogram in predicting PEMVI was better than that of iTBC (P = 0.0009) and MEMVI (P = 0.0095). CONCLUSION iTBC and MEMVI are risk factors for PEMVI and pelvic lymph node metastasis. The nomograms based on iTBC show a good performance in predicting PEMVI and pelvic lymph node metastasis, possessing a certain clinical reference value. TRIAL REGISTRATION This study was approved by the Ethics Committee of Beijing Friendship Hospital, and individual consent was waived for this retrospective analysis.
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Affiliation(s)
- Baohua Lv
- Department of Radiology, Taian City Central Hospital, Qingdao University, Tai’an, 271099 China
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong-an Road, Beijing, 100050 China
| | - Leilei Yuan
- Department of Radiology, Taian City Central Hospital, Qingdao University, Tai’an, 271099 China
| | - Jizheng Li
- Department of Radiology, Taian City Central Hospital, Qingdao University, Tai’an, 271099 China
| | - Xue Kong
- Department of Radiology, Taian City Central Hospital, Qingdao University, Tai’an, 271099 China
| | - Yanling Cheng
- Respiratory department of Shandong Second Rehabilitation Hospital, Tai’an, 271000 China
| | - Kai Shang
- Department of Orthopedic, Taian City Central Hospital, Qingdao University, Tai’an, 271099 China
| | - Erhu Jin
- Department of Radiology, Beijing Friendship Hospital, Capital Medical University, No. 95, Yong-an Road, Beijing, 100050 China
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Fraum TJ, Ma J, Jhaveri K, Nepal P, Lall C, Costello J, Harisinghani M. The optimized rectal cancer MRI protocol: choosing the right sequences, sequence parameters, and preparatory strategies. Abdom Radiol (NY) 2023; 48:2771-2791. [PMID: 36899281 DOI: 10.1007/s00261-023-03850-z] [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: 12/02/2022] [Revised: 02/06/2023] [Accepted: 02/07/2023] [Indexed: 03/12/2023]
Abstract
Pelvic MRI plays a critical role in rectal cancer staging and treatment response assessment. Despite a consensus regarding the essential protocol components of a rectal cancer MRI, substantial differences in image quality persist across institutions and vendor software/hardware platforms. In this review, we present image optimization strategies for rectal cancer MRI examinations, including but not limited to preparation strategies, high-resolution T2-weighted imaging, and diffusion-weighted imaging. Our specific recommendations are supported by case studies from multiple institutions. Finally, we describe an ongoing initiative by the Society of Abdominal Radiology's Disease-Focused Panel (DFP) on Rectal and Anal Cancer to create standardized rectal cancer MRI protocols across scanner platforms.
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Affiliation(s)
- Tyler J Fraum
- Department of Radiology, Washington University School of Medicine, 510 S. Kingshighway Blvd, Campus, Box 8131, St. Louis, MO, 63110, USA.
| | - Jingfei Ma
- Department of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Kartik Jhaveri
- Department of Medical Imaging, University of Toronto, Toronto, Canada
| | - Pankaj Nepal
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Chandana Lall
- Department of Radiology, College of Medicine, University of Florida, Jacksonville, FL, USA
| | - James Costello
- Department of Radiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Mukesh Harisinghani
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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Predictors and Outcomes of Upstaging in Rectal Cancer Patients Who Did Not Receive Preoperative Therapy. Dis Colon Rectum 2023; 66:59-66. [PMID: 35905174 DOI: 10.1097/dcr.0000000000002485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
BACKGROUND Preoperative chemoradiation is indicated for clinical stage II and III rectal cancers; however, the accuracy of clinical staging with preoperative imaging is imperfect. OBJECTIVE The study aimed to better characterize the incidence and management of clinical and pathologic stage discordances in patients who did not receive preoperative chemoradiation. DESIGN This was a retrospective cohort analysis. SETTINGS The source of data was the National Cancer Database from 2006 to 2015. PATIENTS We identified patients who underwent resection with curative intent for clinical stage I rectal adenocarcinoma without preoperative chemotherapy or radiation. MAIN OUTCOME MEASURES We evaluated the characteristics of "upstaged" patients-those with T3/T4 tumors found on pathology (pathologic stage II) and/or with positive regional nodes in the resection specimen (pathologic stage III) compared with those patients who were not upstaged (pathologic stage I). We then used a mixed-effects multivariable survival model to compare overall survival between these groups. RESULTS Among 7818 clinical stage I rectal cancer patients who did not receive preoperative therapy, tumor upstaging occurred in 819 (10.6%) and nodal upstaging occurred in 1612 (20.8%). Upstaged patients were more likely than those not upstaged to have higher grade tumors and positive margins. Survival was worse in upstaged patients (hazard ratio [HR], 1.64; 95% CI, 1.4-1.9) but improved among those upstaged patients who received either chemotherapy (HR, 0.71; 95% CI, 0.6-0.9) or chemoradiation (HR, 0.62; 95% CI, 0.5-0.7). LIMITATIONS In addition to the inherent limitations of a retrospective cohort study, the National Cancer Database does not record functional outcomes, local recurrence, or disease-specific survival, so we are restricted to the evaluation of overall survival as an oncologic outcome. CONCLUSIONS Inaccurate preoperative staging remains a common clinical challenge in the management of rectal cancer. Survival among upstaged patients is improved among those who receive recommended postoperative chemotherapy and/or chemoradiation, yet many patients do not receive guideline-concordant care. See Video Abstract at https://links.lww.com/DCR/B999 . PREDICTORES Y RESULTADOS DE SOBRE ESTADIFICACIN EN PACIENTES CON CNCER DE RECTO QUE NO RECIBIERON TERAPIA PREOPERATORIA ANTECEDENTES:La quimio radiación preoperatoria está indicada para los estadios clínicos II y III del cáncer rectal; sin embargo, la precisión de la estadificación clínica con imágenes preoperatorias es imperfecta.OBJETIVO:El objetivo fue mejorar la caracterización de la incidencia y el manejo de la discordancia del estadio clínico y patológico en pacientes que no recibieron quimio radiación preoperatoria.DISEÑO:Este fue un análisis de cohorte retrospectivo.CONFIGURACIÓN:La fuente de datos fue de la Base de datos Nacional del Cáncer entre los años 2006-2015.PACIENTES:Identificamos pacientes que fueron sometidos a resección con intención curativa por adenocarcinoma rectal en estadio clínico I, sin quimioterapia o radiación preoperatoria.PRINCIPALES MEDIDAS DE RESULTADO:Evaluamos las características de los pacientes "sobre estadificados": aquellos con tumores T3/T4 encontrados en patología (estadio patológico II) y/o con ganglios regionales positivos en la muestra de resección (estadio patológico III), en comparación con aquellos pacientes que no fueron sobre estadificados (estadio patológico I). Luego usamos un modelo de supervivencia multivariable de efectos mixtos para comparar la supervivencia general entre estos grupos.RESULTADOS:De entre 7818 pacientes con cáncer de recto, en estadio clínico I, y que no recibieron tratamiento preoperatorio, se produjo una sobre estadificación tumoral en 819 (10,6%) y una sobre estadificación ganglionar en 1612 (20,8%). Los pacientes sobre estadificados tenían más probabilidades que los no sobre estadificados de tener tumores de mayor grado y márgenes positivos. La supervivencia fue peor en los pacientes sobre estadificados (HR 1,64, IC del 95% [1,4, 1,9]), pero mejoró entre los pacientes sobre estadificados que recibieron quimioterapia (HR 0,71, IC del 95% [0,6, 0,9]) o quimio radiación (HR 0,62, 95% IC [0,5, 0,7]).LIMITACIONES:Además de las limitaciones inherente a un estudio de cohorte de tipo retrospectivo, la Base de datos Nacional del Cáncer no registra resultados funcionales, la recurrencia local o la supervivencia específica de la enfermedad, por lo que estamos restringidos a la evaluación de la supervivencia general como un resultado oncológico.CONCLUSIONES:La estadificación preoperatoria inexacta sigue siendo un desafío clínico común en el tratamiento del cáncer de recto. La supervivencia entre los pacientes con sobre estadificación mejora en aquellos que reciben la quimioterapia y/o quimio radioterapia postoperatoria recomendada, aunque muchos pacientes no reciben atención acorde con las guías. Consulte Video Resumen en http://links.lww.com/DCR/B999 . (Traducción-Dr. Osvaldo Gauto ).
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A nomogram model based on MRI and radiomic features developed and validated for the evaluation of lymph node metastasis in patients with rectal cancer. ABDOMINAL RADIOLOGY (NEW YORK) 2022; 47:4103-4114. [PMID: 36102961 DOI: 10.1007/s00261-022-03672-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 01/18/2023]
Abstract
PURPOSE The aim of this study was to develop and validate a nomogram model to evaluate lymph node metastasis (LNM) in patients with rectal cancer (RC). METHODS A total of 162 patients with RC were included in the study. The MRI reported model, the Radscore model, and the Complex model were constructed using the logistics regression (LR) algorithm. The DeLong test and decision curve analysis (DCA) were used to compare the prediction performance and clinical utility of these models. The nomogram model was constructed to visualize the prediction results of the best model. Model performance was evaluated in the training and validation groups, and the calibration curve and Hosmer-Lemeshow goodness of fit test were used to evaluate the calibration. RESULT All three models constructed by the LR algorithm were good at identifying LNM. The DeLong test and the DCA results showed that the Complex model outperformed the MRI reported model and the Radscore model in relation to their predictive performance and clinical utility. The nomogram of the Complex model had an area under the curve (AUC) of 0.902 (95% confidence interval (CI) 0.848-0.957) in the training group and an AUC of 0.891 (95% CI 0.799-0.983) in the validation group. Meanwhile, the nomogram showed good calibration. CONCLUSION The nomogram model constructed based on T2WI radiomics and MRI reported had good diagnostic efficacies for LNM in patients with RC, and provided a new auxiliary method for accurate and individualized clinical management.
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Zhuang Z, Ma X, Zhang Y, Yang X, Wei M, Deng X, Wang Z. Technique to match mesorectal lymph nodes imaging findings to histopathology: node-by-node comparison. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04305-6. [PMID: 36028725 DOI: 10.1007/s00432-022-04305-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/15/2022] [Indexed: 11/29/2022]
Abstract
BACKGROUND Lymph node status is critical for staging rectal cancer and determining neoadjuvant therapy regimens. Establishing a matching between imaging and histopathological lymph nodes is fundamental for predicting lymph node status. This study reports a technique to achieve node-by-node pairing of mesorectal lymph nodes between imaging findings and histopathology. METHODS Fifty-two patients with histopathologically verified rectal cancer underwent magnetic resonance imaging before surgery. The status of each lymph node in the surgical specimens was analyzed histopathologically and matched with preoperative imaging after the operation. RESULTS A total of 346 mesorectal lymph nodes were located on imaging evaluation, of which 313 were confirmed histopathologically, and 33 were unmatched. The total success rate of the technique was 90.5%. Node-by-node analysis revealed 280 benign and 33 malignant nodal structures. CONCLUSION The technique to match mesorectal lymph node imaging findings to histopathology was feasible and effective. It simplified the technical method and had a reasonable success matching rate, which could provide a standardized approach for obtaining a prospective correlation between imaging and histological findings, supporting all subsequent related studies at the level of mesorectal lymph nodes.
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Affiliation(s)
- Zixuan Zhuang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xueqin Ma
- Department of Radiology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yang Zhang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xuyang Yang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Mingtian Wei
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Xiangbing Deng
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China
| | - Ziqiang Wang
- Department of General Surgery, Colorectal Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Lane, Chengdu, 610041, Sichuan Province, China.
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Borgheresi A, De Muzio F, Agostini A, Ottaviani L, Bruno A, Granata V, Fusco R, Danti G, Flammia F, Grassi R, Grassi F, Bruno F, Palumbo P, Barile A, Miele V, Giovagnoni A. Lymph Nodes Evaluation in Rectal Cancer: Where Do We Stand and Future Perspective. J Clin Med 2022; 11:2599. [PMID: 35566723 PMCID: PMC9104021 DOI: 10.3390/jcm11092599] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/25/2022] [Accepted: 05/03/2022] [Indexed: 12/12/2022] Open
Abstract
The assessment of nodal involvement in patients with rectal cancer (RC) is fundamental in disease management. Magnetic Resonance Imaging (MRI) is routinely used for local and nodal staging of RC by using morphological criteria. The actual dimensional and morphological criteria for nodal assessment present several limitations in terms of sensitivity and specificity. For these reasons, several different techniques, such as Diffusion Weighted Imaging (DWI), Intravoxel Incoherent Motion (IVIM), Diffusion Kurtosis Imaging (DKI), and Dynamic Contrast Enhancement (DCE) in MRI have been introduced but still not fully validated. Positron Emission Tomography (PET)/CT plays a pivotal role in the assessment of LNs; more recently PET/MRI has been introduced. The advantages and limitations of these imaging modalities will be provided in this narrative review. The second part of the review includes experimental techniques, such as iron-oxide particles (SPIO), and dual-energy CT (DECT). Radiomics analysis is an active field of research, and the evidence about LNs in RC will be discussed. The review also discusses the different recommendations between the European and North American guidelines for the evaluation of LNs in RC, from anatomical considerations to structured reporting.
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Affiliation(s)
- Alessandra Borgheresi
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Federica De Muzio
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
| | - Letizia Ottaviani
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
| | - Alessandra Bruno
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
| | - Vincenza Granata
- Division of Radiology, Istituto Nazionale Tumori IRCCS Fondazione Pascale IRCCS di Napoli, 80131 Naples, Italy;
| | - Roberta Fusco
- Medical Oncology Division, Igea SpA, 80013 Napoli, Italy
| | - Ginevra Danti
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Federica Flammia
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Roberta Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Francesca Grassi
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Division of Radiology, Università degli Studi della Campania Luigi Vanvitelli, 80128 Naples, Italy
| | - Federico Bruno
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Pierpaolo Palumbo
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Abruzzo Health Unit 1, Department of Diagnostic Imaging, Area of Cardiovascular and Interventional Imaging, 67100 L’Aquila, Italy
| | - Antonio Barile
- Department of Biotechnological and Applied Clinical Sciences, University of L’Aquila, 67100 L’Aquila, Italy;
| | - Vittorio Miele
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, 20122 Milan, Italy; (G.D.); (R.G.); (F.G.); (F.B.); (P.P.); (V.M.)
- Department of Radiology, Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy;
| | - Andrea Giovagnoni
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, 60121 Ancona, Italy; (A.B.); (A.A.); (A.B.); (A.G.)
- Department of Radiological Sciences, University Hospital Ospedali Riuniti, 60126 Ancona, Italy;
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Gupta RT. Guest Editorial for: "Diagnostic Efficiency of Diffusion Sequences and a Clinical Nomogram for Detecting Lymph Node Metastases From Rectal Cancer". Acad Radiol 2022; 29:1296-1297. [PMID: 35379531 DOI: 10.1016/j.acra.2022.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Accepted: 03/04/2022] [Indexed: 11/01/2022]
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Zhou Y, Yang R, Wang Y, Zhou M, Zhou X, Xing J, Wang X, Zhang C. Histogram analysis of diffusion-weighted magnetic resonance imaging as a biomarker to predict LNM in T3 stage rectal carcinoma. BMC Med Imaging 2021; 21:176. [PMID: 34809615 PMCID: PMC8609786 DOI: 10.1186/s12880-021-00706-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 11/08/2021] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Preoperative identification of rectal cancer lymph node status is crucial for patient prognosis and treatment decisions. Rectal magnetic resonance imaging (MRI) plays an essential role in the preoperative staging of rectal cancer, but its ability to predict lymph node metastasis (LNM) is insufficient. This study explored the value of histogram features of primary lesions on multi-parametric MRI for predicting LNM of stage T3 rectal carcinoma. METHODS We retrospectively analyzed 175 patients with stage T3 rectal cancer who underwent preoperative MRI, including diffusion-weighted imaging (DWI) before surgery. 62 patients were included in the LNM group, and 113 patients were included in the non-LNM group. Texture features were calculated from histograms derived from T2 weighted imaging (T2WI), DWI, ADC, and T2 maps. Stepwise logistic regression analysis was used to screen independent predictors of LNM from clinical features, imaging features, and histogram features. Predictive performance was evaluated by receiver operating characteristic (ROC) curve analysis. Finally, a nomogram was established for predicting the risk of LNM. RESULTS The clinical, imaging and histogram features were analyzed by stepwise logistic regression. Preoperative carbohydrate antigen 199 level (p = 0.009), MRN stage (p < 0.001), T2WIKurtosis (p = 0.010), DWIMode (p = 0.038), DWICV (p = 0.038), and T2-mapP5 (p = 0.007) were independent predictors of LNM. These factors were combined to form the best predictive model. The model reached an area under the ROC curve (AUC) of 0.860, with a sensitivity of 72.8% and a specificity of 85.5%. CONCLUSION The histogram features on multi-parametric MRI of the primary tumor in rectal cancer were related to LN status, which is helpful for improving the ability to predict LNM of stage T3 rectal cancer.
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Affiliation(s)
- Yang Zhou
- Department of Radiology, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Nangang District, Harbin, 150001, Heilongjiang Province, China
| | - Rui Yang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Yuan Wang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Meng Zhou
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China
| | - Xueyan Zhou
- School of Technology, Harbin University, Harbin, Heilongjiang Province, China
| | - JiQing Xing
- Department of Physical Education, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, No. 150, Haping Road, Nangang District, Harbin, 150001, Heilongjiang Province, China.
| | - Chunhui Zhang
- Department of Gastrointestinal Medical Oncology, Harbin Medical University Cancer Hospital, No.150 Haping Road, Nangang District, Harbin, 150081, Heilongjiang Province, China.
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Wang C, Yu J, Lu M, Li Y, Shi H, Xu Q. Diagnostic Efficiency of Diffusion Sequences and a Clinical Nomogram for Detecting Lymph Node Metastases from Rectal Cancer. Acad Radiol 2021; 29:1287-1295. [PMID: 34802905 DOI: 10.1016/j.acra.2021.10.009] [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: 08/22/2021] [Revised: 09/30/2021] [Accepted: 10/01/2021] [Indexed: 11/30/2022]
Abstract
RATIONALE AND OBJECTIVES First, to evaluate and compare three different diffusion sequences (i.e., standard DWI, IVIM, and DKI) for nodal staging. Second, to combine the DWI, and anatomic information to assess metastatic lymph node (LN). MATERIALS AND METHODS We retrospectively identified 136 patients of rectal adenocarcinoma who met the inclusion criteria. Three diffusion sequences (i.e., standard DWI, IVIM, and DKI) were performed, and quantitative parameters were evaluated. Univariate and multivariate analyses were used to assess the associations between the anatomic and DWI information and LN pathology. Multivariate logistic regression was used to identify independent risk factors. A nomogram model was established, and the model performance was evaluated by the concordance index (c-index) and calibration curve. RESULTS There was a statistical difference in variables (LN long diameter, LN short diameter, LN boundary, LN signal, peri-LN signal intensity, ADC-1000, ADC-1400, ADC-2000, Kapp and D) between metastatic and non-metastatic LN for training and validation cohorts (p < 0.05). The ADC value derived from b = 1000 mm/s (ADC-1000) showed the relative higher AUC (AUC = 0.780) than the ADC value derived from b = 1400 mm/s (ADC-1400) (AUC = 0.703). The predictive accuracy of the nomogram measured by the c-index was 0.854 and 0.812 in the training and validation cohort, respectively. CONCLUSION The IVIM and DKI model's diagnostic efficiency was not significantly improved compared to conventional DWI. The diagnostic accuracy of metastatic LN can be enhanced using the nomogram model, leading to a rational therapeutic choice.
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Affiliation(s)
- Chen Wang
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO.300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Jing Yu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO.300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Ming Lu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO.300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Yang Li
- Department of Pathology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Hongyuan Shi
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO.300, Guangzhou Road, Nanjing, Jiangsu 210029, China
| | - Qing Xu
- Department of Radiology, First Affiliated Hospital of Nanjing Medical University, NO.300, Guangzhou Road, Nanjing, Jiangsu 210029, China.
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Grimm P, Loft MK, Dam C, Pedersen MRV, Timm S, Rafaelsen SR. Intra- and Interobserver Variability in Magnetic Resonance Imaging Measurements in Rectal Cancer Patients. Cancers (Basel) 2021; 13:cancers13205120. [PMID: 34680269 PMCID: PMC8534180 DOI: 10.3390/cancers13205120] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 10/04/2021] [Accepted: 10/07/2021] [Indexed: 12/14/2022] Open
Abstract
Colorectal cancer is the second most common cancer in Europe, and accurate lymph node staging in rectal cancer patients is essential for the selection of their treatment. MRI lymph node staging is complex, and few studies have been published regarding its reproducibility. This study assesses the inter- and intraobserver variability in lymph node size, apparent diffusion coefficient (ADC) measurements, and morphological characterization among inexperienced and experienced radiologists. Four radiologists with different levels of experience in MRI rectal cancer staging analyzed 36 MRI scans of 36 patients with rectal adenocarcinoma. Inter- and intraobserver variation was calculated using interclass correlation coefficients and Cohens-kappa statistics, respectively. Inter- and intraobserver agreement for the length and width measurements was good to excellent, and for that of ADC it was fair to good. Interobserver agreement for the assessment of irregular border was moderate, heterogeneous signal was fair, round shape was fair to moderate, and extramesorectal lymph node location was moderate to almost perfect. Intraobserver agreement for the assessment of irregular border was fair to substantial, heterogeneous signal was fair to moderate, round shape was fair to moderate, and extramesorectal lymph node location was substantial to almost perfect. Our data indicate that subjective variables such as morphological characteristics are less reproducible than numerical variables, regardless of the level of experience of the observers.
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Affiliation(s)
- Peter Grimm
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Correspondence:
| | - Martina Kastrup Loft
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
| | - Claus Dam
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
| | - Malene Roland Vils Pedersen
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
| | - Signe Timm
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
- Research Unit, Kolding Hospital, University Hospital of Southern Denmark, 6000 Kolding, Denmark
| | - Søren Rafael Rafaelsen
- Department of Radiology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark; (M.K.L.); (C.D.); (M.R.V.P.); (S.R.R.)
- Department of Regional Health Research, University of Southern Denmark, 5230 Odense, Denmark;
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Surov A, Meyer HJ, Pech M, Powerski M, Omari J, Wienke A. Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis. Int J Colorectal Dis 2021; 36:2189-2197. [PMID: 34184127 PMCID: PMC8426255 DOI: 10.1007/s00384-021-03986-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/16/2021] [Indexed: 02/04/2023]
Abstract
BACKGROUND Our aim was to provide data regarding use of diffusion-weighted imaging (DWI) for distinguishing metastatic and non-metastatic lymph nodes (LN) in rectal cancer. METHODS MEDLINE library, EMBASE, and SCOPUS database were screened for associations between DWI and metastatic and non-metastatic LN in rectal cancer up to February 2021. Overall, 9 studies were included into the analysis. Number, mean value, and standard deviation of DWI parameters including apparent diffusion coefficient (ADC) values of metastatic and non-metastatic LN were extracted from the literature. The methodological quality of the studies was investigated according to the QUADAS-2 assessment. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian, and Laird random-effects models with inverse-variance weights were used to account the heterogeneity between the studies. Mean DWI values including 95% confidence intervals were calculated for metastatic and non-metastatic LN. RESULTS ADC values were reported for 1376 LN, 623 (45.3%) metastatic LN, and 754 (54.7%) non-metastatic LN. The calculated mean ADC value (× 10-3 mm2/s) of metastatic LN was 1.05, 95%CI (0.94, 1.15). The calculated mean ADC value of the non-metastatic LN was 1.17, 95%CI (1.01, 1.33). The calculated sensitivity and specificity were 0.81, 95%CI (0.74, 0.89) and 0.67, 95%CI (0.54, 0.79). CONCLUSION No reliable ADC threshold can be recommended for distinguishing of metastatic and non-metastatic LN in rectal cancer.
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Affiliation(s)
- Alexey Surov
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
| | - Hans-Jonas Meyer
- Department of Diagnostic and Interventional Radiology, University of Leipzig, Leipzig, Germany
| | - Maciej Pech
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Maciej Powerski
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Jasan Omari
- Department of Radiology and Nuclear Medicine, Otto-von-Guericke University Magdeburg, Magdeburg, Germany
| | - Andreas Wienke
- Institute of Medical Epidemiology, Martin-Luther-University Halle-Wittenberg, Biostatistics, and Informatics, Halle (Saale), Germany
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High-Resolution Diffusion-Weighted Imaging for Evaluation of Extramural Tumor Invasion in Primary Rectal Cancer. J Comput Assist Tomogr 2021; 45:522-527. [PMID: 34519451 DOI: 10.1097/rct.0000000000001165] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
OBJECTIVE The aim of this study was to determine the added value of high-resolution diffusion-weighted imaging (DWI) to T2-weighted imaging (T2WI) for evaluation of extramural tumor invasion (EMTI) in patients with primary rectal cancer. METHODS Seventy-eight patients who had undergone 3.0-T magnetic resonance imaging including DWI (b = 0, 1000 s/mm2, 2 mm iso-voxel) and subsequent surgery were included. Two blinded radiologists independently read the T2WI first and then the combined DWI set. They recorded their confidence level using a 5-point scale. The diagnostic accuracy was calculated by receiver operating characteristic curve analysis based on the histopathological results as the reference. RESULTS The study population consisted of EMTI positive (n = 44) and negative (n = 34). The area under the curve was not significantly increased after adding DWI to T2WI (reader 1, 0.868-0.856, P = 0.5618; reader 2, 0.848-0.865, P = 0.4539). CONCLUSION Adding DWI to T2WI showed no additional diagnostic value for the evaluation of EMTI in patients with primary rectal cancer.
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MRI Staging in an Evolving Management Paradigm for Rectal Cancer, From the AJR Special Series on Cancer Staging. AJR Am J Roentgenol 2021; 217:1282-1293. [PMID: 33949877 DOI: 10.2214/ajr.21.25556] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
The treatment of rectal cancer centers around the distinct but related goals of management of distant metastases and management of local disease. Optimal local management requires attention to the primary tumor and its anatomic relationship to surrounding pelvic structures, with the goal of minimizing local recurrence (LR). High-resolution MRI is ideally suited for this purpose; application of MRI-based criteria in conjunction with optimized surgical and pathologic techniques have successfully reduced LR rates. This success has led to a shift away from using the TNM-based National Comprehensive Cancer Network (NCCN) guidelines as the sole determinant of whether a patient receives neoadjuvant chemoradiation. The new model uses a hybrid approach for assigning risk categories that combines elements of the TNM staging system with MRI-based anatomic features. These risk categories incorporate tumor proximity to the circumferential resection margin, T category, distance to the anal verge and presence of extramural venous invasion, to classify rectal tumors as low, intermediate, or high-risk. This approach has been validated by accumulated data from numerous multi-institutional studies. This review illustrates key anatomic concepts, depicts common interpretive errors and pitfalls, and discusses ongoing limitations; these insights should guide radiologists in optimal rectal MRI interpretation.
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Li J, Zhou Y, Wang X, Yu Y, Zhou X, Luan K. Histogram Analysis of Diffusion-Weighted Magnetic Resonance Imaging as a Biomarker to Predict Lymph Node Metastasis in T3 Stage Rectal Carcinoma. Cancer Manag Res 2021; 13:2983-2993. [PMID: 33833581 PMCID: PMC8021267 DOI: 10.2147/cmar.s298907] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Accepted: 03/03/2021] [Indexed: 01/08/2023] Open
Abstract
Purpose This study investigated the predictive value of apparent diffusion coefficient (ADC) histogram parameters of the primary tumor for regional lymph node metastasis (LNM) in pathological T3 stage rectal cancer. Patients and Methods We retrospectively studied 175 patients with T3 stage rectal cancer who underwent preoperative MRI, including diffusion-weighted imaging, between January 2015 and October 2017. Based on pathological analysis of surgical specimens, 113 patients were classified into the LN− group and 62 in the LN+ group. We analyzed clinical data, radiological characteristics and histogram parameters derived from ADC maps. Then, receiver operating characteristic curve (ROC) analyses were generated to determine the best diagnostic performance. Results The mean (p=0.002, cutoff=1.08×10–3 s/mm2), coefficient of variation (CV) (p=0.040, cutoff=0.249) of the ADC map, carbohydrate antigen 199, and N stage with magnetic resonance (mrN stage) were independent factors for LNM. Combining these factors yielded the best diagnostic performance, with the area under the ROC curve of 0.838, 72.9% sensitivity, 79.1% specificity, 65.2% positive predictive value, and 84.5% negative predictive value. Conclusion With the mean >1.08×10–3 s/mm2 and CV <0.249, the ADC improved the diagnostic performance of LNM in T3 stage rectal cancer, which could assist surgeons with neoadjuvant chemoradiotherapy.
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Affiliation(s)
- Jin Li
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Yang Zhou
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China.,Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Xinxin Wang
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Yanyan Yu
- Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Xueyan Zhou
- School of Technology, Harbin University, Harbin, 150001, Heilongjiang Province, People's Republic of China
| | - Kuan Luan
- College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin, 150001, Heilongjiang Province, People's Republic of China
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Stijns RCH, Philips BWJ, Nagtegaal ID, Polat F, de Wilt JHW, Wauters CAP, Zamecnik P, Fütterer JJ, Scheenen TWJ. USPIO-enhanced MRI of lymph nodes in rectal cancer: A node-to-node comparison with histopathology. Eur J Radiol 2021; 138:109636. [PMID: 33721766 DOI: 10.1016/j.ejrad.2021.109636] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2021] [Revised: 03/04/2021] [Accepted: 03/06/2021] [Indexed: 01/21/2023]
Abstract
PURPOSE To evaluate the initial results of predicting lymph node metastasis in rectal cancer patients detected in-vivo with USPIO-enhanced MRI at 3 T compared on a node-to-node basis with histopathology. METHODS Ten rectal cancer patients of all clinical stages were prospectively included for an in-vivo 0.85 mm3 isotropic 3D MRI after infusion of Ferumoxtran-10. The surgical specimens were examined ex-vivo with an 0.29 mm3 isotropic MRI examination. Two radiologists evaluated in-vivo MR images with a classification scheme to predict lymph node status. Ex-vivo MRI was used for MR-guided pathology and served as a key link between in-vivo MRI and final histopathology for the node-to-node analysis. RESULTS 138 lymph nodes were detected by reader 1 and 255 by reader 2 (p = 0.005) on in-vivo MRI with a median size of 2.6 and 2.4 mm, respectively. Lymph nodes were classified with substantial inter-reader agreement (κ = 0.73). Node-to-node comparison was possible for 55 lymph nodes (median size 3.2 mm; range 1.2-12.3), of which 6 were metastatic on pathology. Low true-positive rates (3/26, 11 % for both readers) and high true negative rates were achieved (14/17, 82 %; 19/22, 86 %). Pathological re-evaluations of 20 lymph nodes with high signal intensity on USPIO-enhanced MRI without lymph node metastases (false positives) did not reveal tumor metastasis but showed benign lymph node tissue with reactive follicles. CONCLUSIONS High resolution MRI visualizes a large number of mesorectal lymph nodes. USPIO-enhanced MRI was not accurate for characterizing small benign versus small tumoral lymph nodes in rectal cancer patients. Suspicious nodes on in-vivo MRI occur as inflammatory as well as metastatic nodes.
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Affiliation(s)
- Rutger C H Stijns
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands.
| | - Bart W J Philips
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Iris D Nagtegaal
- Department of Pathology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Fatih Polat
- Department of Surgery, Canisius-Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Johannes H W de Wilt
- Department of Surgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Carla A P Wauters
- Department of Pathology, Canisius-Wilhelmina Hospital, Nijmegen, the Netherlands
| | - Patrik Zamecnik
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Jurgen J Fütterer
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Tom W J Scheenen
- Department of Radiology and Nuclear Medicine, Radboud University Medical Center, Nijmegen, the Netherlands; Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Essen, 45141, Germany
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Chen ZZ, Huang W, Wei ZQ. Small-cell neuroendocrine carcinoma of the rectum - a rare tumor type with poor prognosis: A case report and review of literature. World J Clin Cases 2020; 8:6095-6102. [PMID: 33344610 PMCID: PMC7723721 DOI: 10.12998/wjcc.v8.i23.6095] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2020] [Revised: 10/02/2020] [Accepted: 10/27/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Small-cell neuroendocrine carcinoma (SNEC) of the rectum is a rare tumor associated with poor prognosis. CASE SUMMARY We report a case of a 77-year-old male who came into our hospital because of blood with his stool. An endoscopy revealed a cauliflower-like neoplasm in his rectum. Imaging examination showed that the lesion in the upper rectum was likely rectal cancer, and there was no evidence of metastasis. The patient was treated with surgery. Pathological examination confirmed SNEC of the rectum and an R0 resection was achieved. However, 1 mo after the operation, the patient developed intestinal and ureteral obstructions due to peritoneal metastases. Finally, the patient died from renal failure. CONCLUSION SNEC of the rectum is a high-grade carcinoma with an aggressive phenotype, and surgery should be cautiously considered.
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Affiliation(s)
- Zhen-Zhou Chen
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China
| | - Wang Huang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China
| | - Zheng-Qiang Wei
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400000, China
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30
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Chen ZZ, Huang W, Wei ZQ. Small-cell neuroendocrine carcinoma of the rectum - a rare tumor type with poor prognosis: A case report and review of literature. World J Clin Cases 2020. [DOI: 10.12998/wjcc.v8.i23.6089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
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31
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Ge YX, Hu SD, Wang Z, Guan RP, Zhou XY, Gao QZ, Yan G. Feasibility and reproducibility of T2 mapping and DWI for identifying malignant lymph nodes in rectal cancer. Eur Radiol 2020; 31:3347-3354. [PMID: 33185752 DOI: 10.1007/s00330-020-07359-7] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 08/27/2020] [Accepted: 09/25/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To evaluate the diagnostic value and reproducibility of T2 mapping versus apparent diffusion coefficients (ADC) for identifying malignant lymph nodes in patients with non-mucinous rectal adenocarcinoma. METHODS High-resolution magnetic resonance imaging, diffusion-weighted imaging, and T2 mapping were performed on patients with suspected metastatic lymph nodes in the mesorectum or around the superior rectal artery with a short-axis diameter of 4-10 mm. The T2 and ADC values of pathology-confirmed metastatic versus non-metastatic lymph nodes were compared using the independent-samples t test and receiver operating characteristic curves. Intra- and inter-observer reproducibility were tested. The cutoff value for T2 relaxation time was determined. RESULTS In total, 67 lymph nodes underwent histological analysis, with 24 in the non-metastatic and 43 in the metastatic groups. Intra- and inter-observer agreements for T2 values were 0.999 and 0.998, respectively, which were higher than the ADC values of 0.924 and 0.844, respectively. The mean T2 and ADC values for metastatic lymph nodes (65 ± 7.8 ms and 1.17 ± 0.16 × 10-3 mm2/s, respectively) were significantly lower than for benign lymph nodes(83 ± 5.7 ms and 1.29 ± 0.15 × 10-3 mm2/s, respectively). T2 values had a higher AUC value of 0.990 than the AUC value for ADC of 0.729. With a cutoff value of 77 ms, sensitivity and specificity for T2 values were 95% and 96%, respectively. CONCLUSIONS T2 mapping had higher diagnostic efficacy and reproducibility than ADC and may be useful in differentiating metastatic from non-metastatic lymph nodes in rectal cancer. KEY POINTS • Mean T2 values were significantly shorter for malignant versus benign LNs in patients with non-mucinous rectal adenocarcinoma. • The diagnostic efficacy and reproducibility of T2 values were excellent and superior to ADC values.
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Affiliation(s)
- Yu-Xi Ge
- Department of Radiology, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, Jiangsu, China
| | - Shu-Dong Hu
- Department of Radiology, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, Jiangsu, China
| | - Zi Wang
- Department of Radiology, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, Jiangsu, China
| | - Rong-Ping Guan
- Department of Radiology, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, Jiangsu, China
| | - Xin-Yi Zhou
- Department of Pathology, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, Jiangsu, China
| | - Qi-Zhong Gao
- Department of Gastrointestinal Surgery, Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214000, Jiangsu, China.
| | - Gen Yan
- Department of Radiology, The Second Affiliated Hospital of Xiamen Medical College, 556 Shengguang Road, Xiamen, 361021, Fujian, China.
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32
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Cianci R, Cristel G, Agostini A, Ambrosini R, Calistri L, Petralia G, Colagrande S. MRI for Rectal Cancer Primary Staging and Restaging After Neoadjuvant Chemoradiation Therapy: How to Do It During Daily Clinical Practice. Eur J Radiol 2020; 131:109238. [PMID: 32905955 DOI: 10.1016/j.ejrad.2020.109238] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/04/2020] [Accepted: 08/12/2020] [Indexed: 12/16/2022]
Abstract
PURPOSE To provide a practical overview regarding the state-of-the-art of the magnetic resonance imaging (MRI) protocol for rectal cancer imaging and interpretation during primary staging and restaging after neoadjuvant chemoradiation therapy (CRT), pointing out technical skills and findings that radiologists should consider for their reports during everyday clinical activity. METHOD Both 1.5T and 3.0T scanners can be used for rectal cancer evaluation, using pelvic phased array external coils. The standard MR protocol includes T2-weighted imaging of the pelvis, high-resolution T2-weighted sequences focused on the tumor and diffusion-weighted imaging (DWI). The mnemonic DISTANCE is helpful for the interpretation of MR images: DIS, for distance from the inferior part of the tumor to the anorectal-junction; T, for T staging; A, for anal sphincter complex status; N, for nodal staging; C, for circumferential resection margin status; and E, for extramural venous invasion. RESULTS Primary staging with MRI is a cornerstone in the preoperative workup of patients with rectal cancer, because it provides clue information for decisions on the administration of CRT and surgical treatment. Restaging after CRT is crucial for treatment planning, and findings on post-CRT MRI correlate with the patient's prognosis and survival. It may be useful to remember the mnemonic word "DISTANCE" to check and describe all the relevant MRI findings necessary for an accurate radiological definition of tumor stage and response to CRT. CONCLUSIONS "DISTANCE" assessment for rectal cancer staging and treatment response estimation after CRT may be helpful as a checklist for a structured reporting.
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Affiliation(s)
- Roberta Cianci
- SS Annunziata Hospital, Department of Neuroscience, Imaging and Clinical Sciences, University "G. d'Annunzio", Via dei Vestini, 66100 Chieti, Italy
| | - Giulia Cristel
- Department of Radiology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Andrea Agostini
- Department of Clinical, Special and Dental Sciences, University Politecnica delle Marche, Department of Radiology, University Hospital "Umberto I - G.M. Lancisi - G. Salesi", Via Conca 71, 60126 Ancona, AN, Italy
| | - Roberta Ambrosini
- Radiology Unit Department of Medical and Surgical Specialties, Radiological Sciences, and Public Health, University of Brescia, ASST Spedali Civili, P. le Spedali Civili 1, 25123 Brescia, Italy
| | - Linda Calistri
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy
| | - Giuseppe Petralia
- Precision Imaging and Research Unit, Department of Medical Imaging and Radiation Sciences, IEO European Institute of Oncology IRCCS, Via Ripamonti 435, 20141 Milan, Italy
| | - Stefano Colagrande
- Department of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence-Azienda Ospedaliero-Universitaria Careggi, Largo Brambilla 3, 50134 Florence, Italy.
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Attenberger UI, Tavakoli A, Stocker D, Stieb S, Riesterer O, Turina M, Schoenberg SO, Pilz L, Reiner CS. Reduced and standard field-of-view diffusion weighted imaging in patients with rectal cancer at 3 T-Comparison of image quality and apparent diffusion coefficient measurements. Eur J Radiol 2020; 131:109257. [PMID: 32947092 DOI: 10.1016/j.ejrad.2020.109257] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/30/2020] [Accepted: 08/24/2020] [Indexed: 01/03/2023]
Abstract
PURPOSE To compare a zoomed EPI-DWI (z-EPI) with a standard EPI-DWI (s-EPI) in the primary diagnostics of rectal cancer and assess its potential of reduced image artifacts. METHOD 22 therapy-naïve patients with rectal cancer underwent rectal MRI at a 3 T-system. The protocols consisted of a z-EPI DWI and s-EPI DWI sequence. Images were assessed by two independent and experienced readers regarding overall image quality and artifacts on a 5-point Likert scale, as well as overall sequence preference. In a lesion-based analysis, tumor and lymph node detection were rated on a 4-point Likert scale. Apparent diffusion coefficient (ADC) measurements were performed. RESULTS Overall Image quality score for z-EPI and s-EPI showed no statistically significant differences (p = 0.80/0.54, reader 1/2) with a median score of 4 ("good" image quality) for both sequences. The image quality preference rank for z-EPI and s-EPI was given the category 'no preference' in 64 % (reader 1) and 50 % (reader 2). Most artifact-related scores (susceptibility, motion and distortion) did not show reproducible significant differences between z-EPI and s-EPI. The two sequences exhibited comparable, mostly good and excellent quality scores for tumor and lymph node detection (p = 0.19-0.99). ADC values were significantly lower for z-EPI than for s-EPI (p = 0.001/0.002, reader 1/2) with good agreement of ADC measurements between both readers. CONCLUSION Our data showed comparable image quality and lesion detection for the z-EPI and the s-EPI sequence in MRI of rectal cancer, whereas the mean ADC of the tumor was significantly lower in z-EPI compared to s-EPI.
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Affiliation(s)
- U I Attenberger
- Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Bonn, Germany.
| | - A Tavakoli
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany; Department of Radiology, German Cancer Research Center (DKFZ), Germany.
| | - D Stocker
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
| | - S Stieb
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland
| | - O Riesterer
- Department of Radiation Oncology, University Hospital Zurich, Zurich, Switzerland.
| | - M Turina
- Department of Surgery and Transplantation, University Hospital Zurich, Zurich, Switzerland.
| | - S O Schoenberg
- Department of Clinical Radiology and Nuclear Medicine, University Medical Center Mannheim, Mannheim, Germany.
| | - L Pilz
- Medical Faculty Mannheim, University of Heidelberg, Mannheim, Germany.
| | - C S Reiner
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich, Zurich, Switzerland.
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34
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Lu HC, Wang F, Yin JD. Texture Analysis Based on Sagittal Fat-Suppression and Transverse T2-Weighted Magnetic Resonance Imaging for Determining Local Invasion of Rectal Cancer. Front Oncol 2020; 10:1476. [PMID: 33014786 PMCID: PMC7461892 DOI: 10.3389/fonc.2020.01476] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 07/10/2020] [Indexed: 12/15/2022] Open
Abstract
Background: Accurate evaluation of local invasion (T-stage) of rectal cancer is essential for treatment planning. A search of PubMed database indicated that the correlation between texture features from T2-weighted magnetic resonance imaging (T2WI) (MRI) and T-stage has not been explored extensively. Purpose: To evaluate the performance of texture analysis using sagittal fat-suppression combined with transverse T2WI for determining T-stage of rectal cancer. Methods: One hundred and seventy-four rectal cancer cases who underwent preoperative MRI were retrospectively selected and divided into high (T3/4) and low (T1/2) T-stage groups. Texture features were, respectively, extracted from sagittal fat-suppression and transverse T2WI images. Univariate and multivariate analyses were conducted to determine T-stage. Discrimination performance was assessed by receiver operating characteristic (ROC) analysis. Results: For univariate analysis, the best performance in differentiating T1/2 from T3/4 tumors was achieved from transverse T2WI, and the area under the ROC curve (AUC) was 0.740. For multivariate analysis, the logical regression model incorporating the independent predictors achieved an AUC of 0.789. Conclusions: Texture features from sagittal fat-suppression combined with transverse T2WI presented moderate association with T-stage of rectal cancer. These findings may be valuable in selecting optimum treatment strategy.
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Affiliation(s)
- H C Lu
- School of Medicine and Bioinformatics Engineering, Northeastern University, Shenyang, China.,Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - F Wang
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
| | - J D Yin
- Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, China
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López-Campos F, Martín-Martín M, Fornell-Pérez R, García-Pérez JC, Die-Trill J, Fuentes-Mateos R, López-Durán S, Domínguez-Rullán J, Ferreiro R, Riquelme-Oliveira A, Hervás-Morón A, Couñago F. Watch and wait approach in rectal cancer: Current controversies and future directions. World J Gastroenterol 2020; 26:4218-4239. [PMID: 32848330 PMCID: PMC7422545 DOI: 10.3748/wjg.v26.i29.4218] [Citation(s) in RCA: 77] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 04/25/2020] [Accepted: 07/22/2020] [Indexed: 02/06/2023] Open
Abstract
According to the main international clinical guidelines, the recommended treatment for locally-advanced rectal cancer is neoadjuvant chemoradiotherapy followed by surgery. However, doubts have been raised about the appropriate definition of clinical complete response (cCR) after neoadjuvant therapy and the role of surgery in patients who achieve a cCR. Surgical resection is associated with significant morbidity and decreased quality of life (QoL), which is especially relevant given the favourable prognosis in this patient subset. Accordingly, there has been a growing interest in alternative approaches with less morbidity, including the organ-preserving watch and wait strategy, in which surgery is omitted in patients who have achieved a cCR. These patients are managed with a specific follow-up protocol to ensure adequate cancer control, including the early identification of recurrent disease. However, there are several open questions about this strategy, including patient selection, the clinical and radiological criteria to accurately determine cCR, the duration of neoadjuvant treatment, the role of dose intensification (chemotherapy and/or radiotherapy), optimal follow-up protocols, and the future perspectives of this approach. In the present review, we summarize the available evidence on the watch and wait strategy in this clinical scenario, including ongoing clinical trials, QoL in these patients, and the controversies surrounding this treatment approach.
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Affiliation(s)
- Fernando López-Campos
- Department of Radiation Oncology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | | | - Roberto Fornell-Pérez
- Department of Radiology, Hospital Universitario de Basurto, Bilbao 48013, Vizcaya, Spain
| | | | - Javier Die-Trill
- Department of Surgery, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | - Raquel Fuentes-Mateos
- Department of Medical Oncology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | - Sergio López-Durán
- Department of Gastroenterology and Hepatology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | - José Domínguez-Rullán
- Department of Radiation Oncology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | - Reyes Ferreiro
- Department of Medical Oncology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | | | - Asunción Hervás-Morón
- Department of Radiation Oncology, Hospital Universitario Ramón y Cajal, Madrid 28034, Spain
| | - Felipe Couñago
- Department of Radiation Oncology, Hospital Universitario Quirónsalud, Madrid 28003, Spain
- Department of Radiation Oncology, Hospital La Luz, Madrid 28003, Spain
- Universidad Europea de Madrid (UEM), Madrid 28223, Spain
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Zhao X, Xie P, Wang M, Li W, Pickhardt PJ, Xia W, Xiong F, Zhang R, Xie Y, Jian J, Bai H, Ni C, Gu J, Yu T, Tang Y, Gao X, Meng X. Deep learning-based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study. EBioMedicine 2020; 56:102780. [PMID: 32512507 PMCID: PMC7276514 DOI: 10.1016/j.ebiom.2020.102780] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Revised: 04/09/2020] [Accepted: 04/21/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Accurate lymph nodes (LNs) assessment is important for rectal cancer (RC) staging in multiparametric magnetic resonance imaging (mpMRI). However, it is incredibly time-consumming to identify all the LNs in scan region. This study aims to develop and validate a deep-learning-based, fully-automated lymph node detection and segmentation (auto-LNDS) model based on mpMRI. METHODS In total, 5789 annotated LNs (diameter ≥ 3 mm) in mpMRI from 293 patients with RC in a single center were enrolled. Fused T2-weighted images (T2WI) and diffusion-weighted images (DWI) provided input for the deep learning framework Mask R-CNN through transfer learning to generate the auto-LNDS model. The model was then validated both on the internal and external datasets consisting of 935 LNs and 1198 LNs, respectively. The performance for LNs detection was evaluated using sensitivity, positive predictive value (PPV), and false positive rate per case (FP/vol), and segmentation performance was evaluated using the Dice similarity coefficient (DSC). FINDINGS For LNs detection, auto-LNDS achieved sensitivity, PPV, and FP/vol of 80.0%, 73.5% and 8.6 in internal testing, and 62.6%, 64.5%, and 8.2 in external testing, respectively, significantly better than the performance of junior radiologists. The time taken for model detection and segmentation was 1.3 s/case, compared with 200 s/case for the radiologists. For LNs segmentation, the DSC of the model was in the range of 0.81-0.82. INTERPRETATION This deep learning-based auto-LNDS model can achieve pelvic LNseffectively based on mpMRI for RC, and holds great potential for facilitating N-staging in clinical practice.
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Affiliation(s)
- Xingyu Zhao
- University of Science and Technology of China, No.96 Jinzhai Road, Hefei, Anhui, 230026, China; Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Peiyi Xie
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, Guangdong 510655, China
| | - Mengmeng Wang
- University of Science and Technology of China, No.96 Jinzhai Road, Hefei, Anhui, 230026, China; Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Wenru Li
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, Guangdong 510655, China
| | - Perry J Pickhardt
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, USA
| | - Wei Xia
- Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Fei Xiong
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, Guangdong 510655, China
| | - Rui Zhang
- Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Yao Xie
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, Guangdong 510655, China
| | - Junming Jian
- University of Science and Technology of China, No.96 Jinzhai Road, Hefei, Anhui, 230026, China; Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Honglin Bai
- University of Science and Technology of China, No.96 Jinzhai Road, Hefei, Anhui, 230026, China; Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Caifang Ni
- The First Affiliated Hospital of Soochow University, No. 899, Pinghai Road, Suzhou, Jiangsu 215006, China
| | - Jinhui Gu
- Chinese Academy of Traditional Chinese Medicine, No. 16, Inner South Street, Dongzhimen, Beijing 100700, China; Guiyang College of Traditional Chinese Medicine, NO.50 Shi Dong Road, Guiyang, Guizhou 550002, China; The People's Hospital of Suzhou National Hi-Tech District, 215129, China
| | - Tao Yu
- Beijing Hospital General Surgery Department, National Center of Gerontology, No. 1, Donghua Dahua Road, Beijing 100730, China
| | - Yuguo Tang
- Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China
| | - Xin Gao
- Department of Medical Imaging, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, No. 88, Keling Road, Suzhou, Jiangsu 215163, China.
| | - Xiaochun Meng
- Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-sen University, No.26 Yuancunerheng Road, Guangzhou, Guangdong 510655, China.
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Shen F, Chen L, Li Z, Lu H, Chen Y, Wang Z, Fu C, Grimm R, Lu J. The usefulness of b value threshold map in the evaluation of rectal adenocarcinoma. Abdom Radiol (NY) 2020; 45:332-341. [PMID: 31642964 DOI: 10.1007/s00261-019-02272-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
PURPOSE To investigate the usefulness of b value threshold (bThreshold) map in the evaluation of rectal adenocarcinoma by comparing it with diffusion-weighted images and ADC maps regarding lesion detection and the prediction of pathological features. MATERIALS AND METHODS Thirty-five patients with rectal tumors were enrolled and underwent axial DWI using a 3-Tesla MRI system. Contrast-to-noise ratio (CNR) between the lesions and normal tissues were assessed on the diffusion-weighted images and bThreshold maps. Reproducibility for ADC and bThreshold values were assessed. Significant differences between different groups for pathological prognostic factors were evaluated. Diagnostic performance of ADC and bThreshold values for those factors were assessed. RESULTS Reproducibility was excellent for the ADC and bThreshold values (ICC 0.985 and 0.992; CV 3.8% and 4.0%) measurements. The CNR between lesions and normal tissues on bThreshold maps was significantly higher than that on diffusion-weighted images (9.91 ± 5.35 vs. 7.68 ± 3.08, p = 0.012). There were significant differences in the ADC and bThreshold values between different pathologic differentiation degrees and T stages; significant difference was observed in the bThreshold values between the different N stage groups (all p values < 0.050). No significant differences were observed between the ROC curves of ADC and the bThreshold values of rectal lesions for pathologic differentiation and T stage. bThreshold maps showed good diagnostic performance for N stage. CONCLUSION Both ADC and bThreshold values can differentiate between degrees of pathologic differentiation and T1-2 versus T3-4. Potential added advantages however of the bThreshold map include a higher CNR compared with DWI images, thereby improving lesion visualization detection, and better diagnostic performance for end staging than ADC. Thus, the bThreshold map may compliment DWI and ADC to evaluate pathologic features of rectal primary tumors and metastatic lymph nodes.
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Affiliation(s)
- Fu Shen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Luguang Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Zhihui Li
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Haidi Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Yukun Chen
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Zhen Wang
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China
| | - Caixia Fu
- MR Application Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Robert Grimm
- MR Applications Pre-development, Siemens Healthcare, Erlangen, Germany
| | - Jianping Lu
- Department of Radiology, Changhai Hospital of Shanghai, Second Military Medical University, No. 168 Changhai Road, Shanghai, 200433, China.
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Performance comparison between MRI and CT for local staging of sigmoid and descending colon cancer. Eur J Radiol 2019; 121:108741. [PMID: 31743882 DOI: 10.1016/j.ejrad.2019.108741] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2019] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023]
Abstract
PURPOSE To compare the diagnostic performance of MRI and CT for local staging of sigmoid and descending colon cancer, with pathological results as the reference standard. METHOD This retrospective study included 116 patients with sigmoid or descending colon cancer who underwent both MRI and CT before surgery. MRI and CT images were separately reviewed by two independent and blinded radiologists to assess the following features: T-stage, presence of extramural extension (T3-4 disease), lymph node metastases (N+), and extramural vascular invasion (EMVI+). Diagnostic performance with sensitivity and specificity for detecting positive status (T3-4, N+ or EMVI+) were assessed using receiver-operating-characteristic (ROC) curve, and compared between MRI and CT. RESULTS MRI achieved correct T-stage in 81 of 116 patients (69.8 %) while CT in 66 (56.9 %). For detecting T3-4 disease, MRI showed better performance than CT with area under the curve (AUC) of 0.888 versus 0.712 (P = 0.002) and specificity of 81.82 % versus 54.6 % (P = 0.011). No significance was found in sensitivity between two modalities (89.2 % versus 83.1 %, P = 0.302). For detecting N+ disease, performance of MRI and CT were similar (AUC, 0.670 versus 0.650, P = 0.412). For detecting EMVI+, MRI showed better performance than CT (AUC, 0.780 versus 0.575, P = 0.012) with significantly higher sensitivity (68.6 % versus 40.0 %, P = 0.031) and similar specificity (both are 84.3 %). CONCLUSIONS MRI may offer more superior diagnostic performance than CT for detecting T3-4 disease and EMVI, thereby supporting its alternative application to CT in local staging of colon cancer.
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Yang X, Chen Y, Wen Z, Liu Y, Xiao X, Liang W, Yu S. Non-invasive MR assessment of the microstructure and microcirculation in regional lymph nodes for rectal cancer: a study of intravoxel incoherent motion imaging. Cancer Imaging 2019; 19:70. [PMID: 31685035 PMCID: PMC6829929 DOI: 10.1186/s40644-019-0255-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2019] [Accepted: 09/20/2019] [Indexed: 01/02/2023] Open
Abstract
Background The aim of this study is to evaluate the microstructure and microcirculation of regional lymph nodes (LNs) in rectal cancer by using non-invasive intravoxel incoherent motion MRI (IVIM-MRI), and to distinguish metastatic from non-metastatic LNs by quantitative parameters. Methods All recruited patients underwent IVIM-MRI (b = 0, 5, 10, 20, 30, 40, 60, 80, 100, 150, 200, 400, 600, 1000, 1500 and 2000 s/mm2) on a 3.0 T MRI system. One hundred sixty-eight regional LNs with a short-axis diameter equal to or greater than 5 mm from 116 patients were evaluated by two radiologists independently, including 78 malignant LNs and 90 benign LNs. The following parameters were assessed: the short-axis diameter (S), long-axis diameter (L), short- to long-axis diameter ratio (S/L), pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), and perfusion factor (f). Intraclass correlation coefficients (ICCs) were calculated to assess the interobserver agreement between two readers. Receiver operating characteristic curves were applied for analyzing statistically significant parameters. Results Interobserver agreement of IVIM-MRI parameters between two readers was excellent (ICCs> 0.75). The metastatic group exhibited higher S, L and D (P < 0.001), but lower f (P < 0.001) than the non-metastatic group. The area under the curve (95% CI, sensitivity, specificity) of the multi-parameter combined equation for D, f and S was 0.811 (0.744~0.868, 62.82%, 87.78%). The diagnostic performance of the multi-parameter model was better than that of an individual parameter (P < 0.05). Conclusion IVIM-MRI parameters provided information about the microstructure and microcirculation of regional LNs in rectal cancer, also improved diagnostic performance in identifying metastatic LNs.
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Affiliation(s)
- Xinyue Yang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, People's Republic of China, 510280
| | - Yan Chen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Ziqiang Wen
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Yiyan Liu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080
| | - Xiaojuan Xiao
- Department of Radiology, The Eighth Affiliated Hospital of Sun Yat-sen University, Shenzhen, Guangdong, People's Republic of China, 518033
| | - Wen Liang
- Department of Radiology, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, People's Republic of China, 510280.
| | - Shenping Yu
- Department of Radiology, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China, 510080.
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Hope TA, Kassam Z, Loening A, McNamara MM, Paspulati R. The use of PET/MRI for imaging rectal cancer. Abdom Radiol (NY) 2019; 44:3559-3568. [PMID: 31201431 DOI: 10.1007/s00261-019-02089-x] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Combined PET/MRI is a proposed imaging modality for rectal cancer, leveraging the advantages of MRI and 18F-fluorodeoxyglucose PET. Rectal cancer PET/MRI protocols typically include dedicated pelvis bed positions utilizing small field-of-view T2-weighted imaging. For staging of the primary tumor, PET/MRI can help delineate the extent of tumor better as well as the extent of tumor beyond the muscularis propria. PET uptake may help characterize small lymph nodes, and the use of hepatobiliary phase imaging can improve the detection of small hepatic metastases. The most beneficial aspect of PET/MRI may be in treatment response, although current data are limited on how to combine PET and MRI data in this setting. Limitations of PET/MRI include the inability to detect small pulmonary nodules and issues related to attenuation correction, although the development of new attenuation correction techniques may address this issue. Overall PET/MRI can improve the staging of rectal cancer, although this potential has yet to be fulfilled.
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Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25:5233-5256. [PMID: 31558870 PMCID: PMC6761241 DOI: 10.3748/wjg.v25.i35.5233] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/18/2019] [Revised: 08/06/2019] [Accepted: 08/24/2019] [Indexed: 02/06/2023] Open
Abstract
Colorectal cancer (CRC) represents one of the leading causes of tumor-related deaths worldwide. Among the various tools at physicians' disposal for the diagnostic management of the disease, tomographic imaging (e.g., CT, MRI, and hybrid PET imaging) is considered essential. The qualitative and subjective evaluation of tomographic images is the main approach used to obtain valuable clinical information, although this strategy suffers from both intrinsic and operator-dependent limitations. More recently, advanced imaging techniques have been developed with the aim of overcoming these issues. Such techniques, such as diffusion-weighted MRI and perfusion imaging, were designed for the "in vivo" evaluation of specific biological tissue features in order to describe them in terms of quantitative parameters, which could answer questions difficult to address with conventional imaging alone (e.g., questions related to tissue characterization and prognosis). Furthermore, it has been observed that a large amount of numerical and statistical information is buried inside tomographic images, resulting in their invisibility during conventional assessment. This information can be extracted and represented in terms of quantitative parameters through different processes (e.g., texture analysis). Numerous researchers have focused their work on the significance of these quantitative imaging parameters for the management of CRC patients. In this review, we aimed to focus on evidence reported in the academic literature regarding the application of parametric imaging to the diagnosis, staging and prognosis of CRC while discussing future perspectives and present limitations. While the transition from purely anatomical to quantitative tomographic imaging appears achievable for CRC diagnostics, some essential milestones, such as scanning and analysis standardization and the definition of robust cut-off values, must be achieved before quantitative tomographic imaging can be incorporated into daily clinical practice.
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Affiliation(s)
- Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), Naples 80145, Italy
| | - Arnaldo Stanzione
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Salvatore Guarino
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Valeria Romeo
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Lorenzo Ugga
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Federica Romano
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Giovanni Storto
- IRCCS-CROB, Referral Cancer Center of Basilicata, Rionero in Vulture 85028, Italy
| | - Simone Maurea
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
| | - Arturo Brunetti
- University of Naples "Federico II", Department of Advanced Biomedical Sciences, Naples 80131, Italy
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Juchems MS, Wessling J. [Rational staging and follow-up of colorectal cancer : Do guidelines provide further help?]. Radiologe 2019; 59:820-827. [PMID: 31455978 DOI: 10.1007/s00117-019-0578-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
CLINICAL/METHODICAL ISSUE Colorectal cancer is one of the most common malignant tumors. Preoperative imaging is crucial in rectal cancer as patients can only receive optimal treatment when accurate staging is performed. The N‑staging is often difficult with the available options and must be called into question as a staging parameter. STANDARD RADIOLOGICAL METHODS Endoscopic ultrasound (EUS) and magnetic resonance imaging (MRI) are particularly suitable for local staging. Multiparametric MRI with diffusion imaging is indispensable for tumor follow-up. METHODICAL INNOVATIONS The assessment of infiltration of the mesorectal fascia is best accomplished using high-resolution MRI. In addition, extramural vascular infiltration (EMVI) has become established as another important prognostic factor. After neoadjuvant therapy and restaging of locally advanced rectal cancer, the identification and validation of prognostically relevant image parameters are prioritized. Multiparametric MRI of the rectum including diffusion imaging as well as the application of radiological and pathological scores (MR-TRG) are becoming increasingly more important in this context. ASSESSMENT For the radiologist it is important to become familiar with indicators of the resectability of rectal cancer and to be able to reliably read prognostically relevant imaging parameters in the tumor follow-up. PRACTICAL RECOMMENDATIONS For the practical application, the establishment of a fixed MRI protocol is essential. In addition to a guideline-compliant TNM classification, the radiologist must provide the clinician with information on infiltration of the mesorectal fascia and extramural vascular infiltration. The MR-TRGs are becoming increasingly more important in tumor follow-up.
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Affiliation(s)
- M S Juchems
- Diagnostische und Interventionelle Radiologie, Klinikum Konstanz, Mainaustr. 35, 78464, Konstanz, Deutschland.
| | - J Wessling
- Zentrum für Radiologie, Neuroradiologie und Nuklearmedizin, Clemenshospital Münster, Münster, Deutschland
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Fornell-Perez R, Perez-Alonso E, Aleman-Flores P, Lozano-Rodriguez A, Loro-Ferrer JF. Nodal staging in the rectal cancer follow-up MRI after chemoradiotherapy: use of morphology, size, and diffusion criteria. Clin Radiol 2019; 75:100-107. [PMID: 31515052 DOI: 10.1016/j.crad.2019.08.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Accepted: 08/08/2019] [Indexed: 02/07/2023]
Abstract
AIM To analyse changes in post-neoadjuvant follow-up magnetic resonance imaging (MRI) staging accuracy for malignant adenopathies in rectal cancer, by comparing size criteria with morphological criteria using high-resolution T2-weighted sequences, as well as variations when adding diffusion-weighted imaging. METHODS AND MATERIALS The present study was a cross-sectional study of a database including 46 1.5-T MRI examinations (2011-2016) from patients with biopsy-proven rectal cancer and chemoradiotherapy treatment before surgery. All cases were reviewed by three radiologists individually, who were blinded to any clinical information. The radiologists were experienced in rectal cancer (3-6 years) and evaluated the presence of malignant nodes in each patient. Malignancy was determined using morphological, size (5 mm), and diffusion criteria separately, as well as morphology plus diffusion. Each case was assessed four times: (1) evaluation of morphological criteria; (2) size criteria; (3) evaluation only using diffusion (b-values 50, 400, and 800); and (4) diffusion plus morphological criteria. Histological staging of surgical specimens was the reference standard. Statistical analysis included accuracy (area under the receiver operating characteristic [ROC] curve [AUC]), sensitivity, specificity, and positive/negative predictive values (PPV/NPV) for each radiologist, and group agreement (Fleiss' kappa). RESULTS Mean values using morphological criteria were: AUC 0.78, sensitivity 77.7%, specificity 73.8%, PPV 66.1%, NPV 85.2%. Using size criterion: AUC 0.75, sensitivity 62.9%, specificity 83.2%, PPV 74.1%, NPV 80%. Added diffusion yielded no improvement, and yielded worse results by itself. CONCLUSIONS Although morphological criteria showed better results in accuracy, sensitivity, and NPV, size criterion yielded the best specificity and PPV. Adding diffusion did not demonstrate a clear advantage over the criteria by themselves. Thus, mixed size-morphology criteria could have the greatest diagnostic value for follow-up N-staging.
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Affiliation(s)
- R Fornell-Perez
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain.
| | - E Perez-Alonso
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain; Department of General Surgery, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - P Aleman-Flores
- Department of Radiology, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - A Lozano-Rodriguez
- Department of Radiology, Complejo Hospitalario Universitario Insular Materno-Infantil, Av. Marítima, s/n, 35016, Las Palmas de Gran Canaria, Spain
| | - J F Loro-Ferrer
- Clinical Sciences Department, Faculty of Medicine, University of Las Palmas de Gran Canaria, Paseo Blas Cabrera Felipe, s/n, 35016, Las Palmas de Gran Canaria, Spain
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Cheng ZY, Feng YZ, Hu JJ, Lin QT, Li W, Qian L, Cai XR. Intravoxel incoherent motion imaging of the kidney: The application in patients with hyperuricemia. J Magn Reson Imaging 2019; 51:833-840. [PMID: 31318112 DOI: 10.1002/jmri.26861] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2019] [Accepted: 06/26/2019] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Hyperuricemia is an independent risk factor for onset and progression of kidney disease. However, there remains a lack of a reliable and noninvasive biomarker to identify and monitor the changes of renal function in patients with hyperuricemia. PURPOSE To assess the utility of intravoxel incoherent motion (IVIM) parameters in identifying the early changes of renal function in patients with hyperuricemia. STUDY TYPE Retrospective case-control study. POPULATION Eighty-four male participants, including asymptomatic hyperuricemia (AH, 27 cases), gouty arthritis (GA, 31 cases), and 26 age-matched healthy controls. FIELD STRENGTH/SEQUENCE 3.0T; intravoxel incoherent motion (IVIM). ASSESSMENT Differences in the IVIM parameters among the three groups were assessed. Pure molecular diffusion (D value); perfusion-related diffusion (D* value); pseudodiffusion fraction (f value); apparent diffusion coefficient (ADC value); estimated glomerular filtration rate (eGFR). Also, they were correlated with eGFR. STATISTICAL TESTS Bonferroni test, Tamhane's T2 method, and Pearson correlation analysis. RESULTS The D values in renal cortex and medulla significantly decreased from the control, AH to GA groups (P < 0.05). The GA patients had a significantly lower cortical f value than the controls and AH patients (P < 0.05). The medullary f values in the AH and GA patients were significantly lower than that in the controls (P < 0.05). Also, the cortical and medullary ADC values had similar results across the three groups (P < 0.05), except for the comparison between the AH and GA groups (P = 0.668, P = 0.111, respectively). No significant correlation was found between any IVIM parameters with eGFR. DATA CONCLUSION IVIM imaging may be helpful for detecting the early changes of renal function induced by hyperuricemia. The D value could be the most sensitive IVIM-derived parameter in the assessment of renal function in patients with hyperuricemia in this study. LEVEL OF EVIDENCE 3 Technical Efficacy Stage: 3 J. Magn. Reson. Imaging 2020;51:833-840.
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Affiliation(s)
- Zhong-Yuan Cheng
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - You-Zhen Feng
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Jun-Jiao Hu
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Qi-Ting Lin
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
| | - Wei Li
- Medical Imaging Center, Zhuhai People's Hospital, Zhuhai, China
| | | | - Xiang-Ran Cai
- Medical Imaging Center, First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China
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Grishko PY, Balyasnikova SS, Samsonov DV, Mishchenko AV, Karachun AM, Pravosudov IV. Contemporary view to the principles of rectal cancer diagnostics and treatment according to MRI (literature review). MEDICAL VISUALIZATION 2019:7-26. [DOI: 10.24835/1607-0763-2019-2-7-26] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/05/2025]
Abstract
In this article are reviewed the most recent diagnostic methods for patients with probable and verified rectal cancer, in different stages of treatment. The importance of high quality visualization of rectal cancer, opportunities of magnetic resonance imaging in primary diagnosis and restaging of the disease after neoadjuvant chemotherapy, optimal examination methods and interpretation of images in routine are discussed.
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Affiliation(s)
- P. Yu. Grishko
- National Medical Research Center of Oncology named after N. N. Petrov
| | - S. S. Balyasnikova
- National Medical Research Center of Oncology named after N. N. Petrov; The Royal Marsden Hospital, NHS Foundation Trust, Downs Road; Imperial College London
| | - D. V. Samsonov
- National Medical Research Center of Oncology named after N. N. Petrov
| | - A. V. Mishchenko
- National Medical Research Center of Oncology named after N. N. Petrov
| | - A. M. Karachun
- National Medical Research Center of Oncology named after N. N. Petrov
| | - I. V. Pravosudov
- National Medical Research Center of Oncology named after N. N. Petrov
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Lee JH, Han SS, Hong EK, Cho HJ, Joo J, Park EY, Woo SM, Kim TH, Lee WJ, Park SJ. Predicting lymph node metastasis in pancreatobiliary cancer with magnetic resonance imaging: A prospective analysis. Eur J Radiol 2019; 116:1-7. [PMID: 31153550 DOI: 10.1016/j.ejrad.2019.04.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 03/26/2019] [Accepted: 04/12/2019] [Indexed: 01/04/2023]
Abstract
OBJECTIVES To prospectively investigate the diagnostic potential of lymph node (LN) magnetic resonance (MR) imaging features. METHODS A radiologist determined the maximum diameters in the short and long axes, shape, signal intensities on T1- and T2-weighted imaging, pattern of enhancement, and apparent diffusion coefficient (ADC) on diffusion-weighted MR images of LNs and annotated measurable (≥5 mm in short-axis diameter) LNs. Surgically harvested LNs were correlated with the pathologic findings. Univariable and multivariable generalized estimating equation analyses were performed to evaluate predictive power. RESULTS Of 80 LNs, 29 (36.3%) were positive and 51 (63.7%) negative for metastasis. The mean short-axis diameter of metastatic LNs (10.59 ± 4.30 mm) was larger than that of benign LNs (7.96 ± 2.10 mm). The ADC was significantly (P < 0.001) lower in metastatic than non-metastatic LNs. The area under the curve (AUC) of a univariable model using only the mean ADC was 0.845 (95% confidence interval [CI], 0.743-0.927), and the mean-ADC cutoff value for predicting LN metastasis was 0.901 × 10-3 mm2/s. The AUC of a multivariable model including round shape, heterogeneous enhancement, and the mean ADC was 0.917 (95% CI, 0.845-0.972), with a sensitivity, specificity, overall accuracy, and positive and negative predictive values of 89.7%, 82.4%, 85.0%, 74.3%, and 93.3%, respectively. CONCLUSION The short-axis diameter and ADC were different between benign and metastatic LNs in pancreatobiliary cancer. However, round shape, heterogeneous enhancement, and a low ADC value (<0.901 × 10-3 mm2/s) may be the most reliable diagnostic features of multiple metastatic LNs.
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Affiliation(s)
- Ju Hee Lee
- Department of Radiology, Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Sung-Sik Han
- Department of Surgery, Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Eun Kyung Hong
- Department of Pathology, Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Hwa Jin Cho
- Department of Pathology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Jungnam Joo
- Biometric Research Branch, Research Institute National Cancer Center, Republic of Korea
| | - Eun Young Park
- Department of Pathology, Inje University Busan Paik Hospital, Inje University College of Medicine, Busan, Republic of Korea
| | - Sang Myung Woo
- Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Tae Hyun Kim
- Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Woo Jin Lee
- Center for Liver Cancer, National Cancer Center, Republic of Korea
| | - Sang-Jae Park
- Department of Surgery, Center for Liver Cancer, National Cancer Center, Republic of Korea.
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Lesion detection performance of an abbreviated gadoxetic acid–enhanced MRI protocol for colorectal liver metastasis surveillance. Eur Radiol 2019; 29:5852-5860. [DOI: 10.1007/s00330-019-06113-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Revised: 02/07/2019] [Accepted: 02/14/2019] [Indexed: 12/14/2022]
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Schurink NW, Lambregts DMJ, Beets-Tan RGH. Diffusion-weighted imaging in rectal cancer: current applications and future perspectives. Br J Radiol 2019; 92:20180655. [PMID: 30433814 DOI: 10.1259/bjr.20180655] [Citation(s) in RCA: 102] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
This review summarizes current applications and clinical utility of diffusion-weighted imaging (DWI) for rectal cancer and in addition provides a brief overview of more recent developments (including intravoxel incoherent motion imaging, diffusion kurtosis imaging, and novel postprocessing tools) that are still in more early stages of research. More than 140 papers have been published in the last decade, during which period the use of DWI have slowly moved from mainly qualitative (visual) image interpretation to increasingly advanced methods of quantitative analysis. So far, the largest body of evidence exists for assessment of tumour response to neoadjuvant treatment. In this setting, particularly the benefit of DWI for visual assessment of residual tumour in post-radiation fibrosis has been established and is now increasingly adopted in clinics. Quantitative DWI analysis (mainly the apparent diffusion coefficient) has potential, both for response prediction as well as for tumour prognostication, but protocols require standardization and results need to be prospectively confirmed on larger scale. The role of DWI for further clinical tumour and nodal staging is less well-defined, although there could be a benefit for DWI to help detect lymph nodes. Novel methods of DWI analysis and post-processing are still being developed and optimized; the clinical potential of these tools remains to be established in the upcoming years.
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Affiliation(s)
- Niels W Schurink
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
| | | | - Regina G H Beets-Tan
- 1 Radiology, Netherlands Cancer Institute , Amsterdam , The Netherlands.,2 GROW School for Oncology and Developmental Biology , Maastricht , The Netherlands
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Diffusion-weighted imaging and loco-regional N staging of patients with colorectal liver metastases. Eur J Surg Oncol 2019; 45:347-352. [DOI: 10.1016/j.ejso.2018.11.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 11/19/2018] [Accepted: 11/23/2018] [Indexed: 12/27/2022] Open
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Lambregts DMJ, Boellaard TN, Beets-Tan RGH. Response evaluation after neoadjuvant treatment for rectal cancer using modern MR imaging: a pictorial review. Insights Imaging 2019; 10:15. [PMID: 30758688 PMCID: PMC6375095 DOI: 10.1186/s13244-019-0706-x] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Accepted: 10/24/2018] [Indexed: 01/02/2023] Open
Abstract
In recent years, neoadjuvant chemoradiotherapy (CRT) has become the standard of care for patients with locally advanced rectal cancer. Until recently, patients routinely proceeded to surgical resection after CRT, regardless of the response. Nowadays, treatment is tailored depending on the response to chemoradiotherapy. In patients that respond very well to CRT, organ-preserving treatments such as watch-and-wait are increasingly considered as an alternative to surgery. To facilitate such personalized treatment planning, there is now an increased demand for more detailed radiological response evaluation after chemoradiation. MRI is one of the main tools used to assess response, but has difficulties in assessing response within areas of post-radiation fibrosis. Hence, MR sequences such as diffusion-weighted imaging are increasingly adopted in clinical MR protocols to improve the differentiation between tumor and fibrosis. In this pictorial review, we discuss the strengths and weaknesses of modern MR imaging, including functional imaging sequences such as diffusion-weighted MRI, for response evaluation after chemoradiation treatment and provide the main pearls and pitfalls for image interpretation.
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Affiliation(s)
- Doenja M J Lambregts
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands.
| | - Thierry N Boellaard
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Antoni van Leeuwenhoek - Netherlands Cancer Institute, Amsterdam, The Netherlands.,GROW School for Oncology and Developmental Biology - Maastricht University, Maastricht, The Netherlands
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