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Seo JM, Baek SY, Jeong WK, Song KD. Correction of stomach cancer CT attenuation values for variations due to differences in CT imaging conditions through repeated CT scans. PLoS One 2025; 20:e0321085. [PMID: 40273222 PMCID: PMC12021269 DOI: 10.1371/journal.pone.0321085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2024] [Accepted: 03/01/2025] [Indexed: 04/26/2025] Open
Abstract
PURPOSE To develop methods for correcting variations in CT attenuation values of advanced gastric cancer (AGC) due to differences in CT imaging conditions using repeated pre-treatment CT scans. METHODS A total 211 patients (146 men) with AGC who underwent pre-treatment CT twice were included in this retrospective study. The Pearson correlation between the difference in tumor attenuation values measured on both CT scans and the difference in attenuation values of other organs was analyzed. A formula to correct tumor CT attenuation values was developed using univariate linear regression analysis. RESULTS The Pearson correlation coefficient was the highest between the difference in tumor attenuation values and that of the main portal vein (MPV) attenuation values (0.86, P <.01). The formula to correct tumor attenuation values was as follows: calculated tumor attenuation value on CT scan 2 = tumor attenuation value on CT scan 1 - (-3.5 + 0.4 x (MPV attenuation value on CT scan 1 - MPV attenuation value on CT scan 2)). The mean difference between calculated and actual tumor attenuation values was 1.6 HU (SD, 8.7; range -22.5-24.72), with a Pearson correlation coefficient of 0.95 (P <.01). CONCLUSION Utilizing the attenuation value of the MPV allows for correction of variations in tumor attenuation values caused by different CT imaging conditions, enabling the prediction of reproducible tumor attenuation in patients with AGC. Future studies are needed to validate these findings and address the study's limitations, including its retrospective design and the absence of unenhanced CT data. ADVANCES IN KNOWLEDGE The attenuation value of the MPV can be used to predict reproducible tumor attenuation values in gastric cancer.
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Affiliation(s)
- Jeong Min Seo
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea
| | - Sun Young Baek
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea
- Biomedical Statistics Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul, Korea
| | - Woo Kyoung Jeong
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea
| | - Kyoung Doo Song
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University, Seoul, Korea
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Peyerl H, Kreye G, Pecherstorfer M, Singer J. Treatment of stage IV colorectal cancer: A retrospective cohort study assessing whether failure of first‑line treatment indicates failure of second‑line treatment. Mol Clin Oncol 2025; 22:10. [PMID: 39640913 PMCID: PMC11618034 DOI: 10.3892/mco.2024.2805] [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: 08/06/2024] [Accepted: 10/30/2024] [Indexed: 12/07/2024] Open
Abstract
Colorectal cancer (CRC) is one of the most frequent malignancies and, despite screening programs, it is often diagnosed at late stages. Although current first- and second-line therapies stratify for KRAS/NRAS/BRAF mutations, microsatellite instability, tumour location and co-morbidities, the therapeutic mainstay for the first- and second-line treatment of the majority of patients consists of 5-fluorouracil (5-FU)-based chemo-immunotherapy. The present study evaluated the responses of patients with stage IV CRC, treated at the University Hospital Krems between January 1, 2015 and December 31, 2021, who received at least two therapy lines (n=49), with the aim of investigating whether the response to first-line therapy could predict the response to second-line therapy. All patients with first-line complete response (CR) had at least stable disease in response to second-line treatment [overall response rate (ORR)=66.6%]. On the other hand, all patients with progressive disease (PD) in response to first-line treatment (n=7) did not respond to second-line therapy (ORR=0%). These findings also translated to overall survival (OS): Patients with first-line CR had a median OS time of 80 months, whereas patients with PD had a median OS time of 12 months (P<0.001). Furthermore, different parameters were analysed for their impact on OS; the results revealed that BRAF alterations were associated with poor prognosis. Other factors (sex, tumor sidedness, KRAS and MSS/MSI status) had in this cohort no significant effect on OS. In conclusion, the present study demonstrated that, with current treatment strategies applying 5-FU-based chemo-immunotherapy as first- and second-line treatment for patients with metastatic CRC, response to first-line therapy may be a strong predictor for the response to second-line therapy and OS. By exchanging the chemotherapeutic combination partner from oxaliplatin to irinotecan or vice versa, plus the additive anti-epidermal growth factor receptor/anti-vascular endothelial growth factor antibody, the negative factor of non-response to first-line therapy could not be overcome by second-line treatment in this study population. These findings must be confirmed in larger studies, but indicate the need for novel treatment options, especially for patients not responding to first-line 5-FU-based chemo-immunotherapy.
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Affiliation(s)
- Hanna Peyerl
- Karl Landsteiner University of Health Sciences, A-3500 Krems, Austria
| | - Gudrun Kreye
- Karl Landsteiner University of Health Sciences, A-3500 Krems, Austria
- Department of Internal Medicine II, University Hospital Krems, A-3500 Krems, Austria
| | - Martin Pecherstorfer
- Karl Landsteiner University of Health Sciences, A-3500 Krems, Austria
- Department of Internal Medicine II, University Hospital Krems, A-3500 Krems, Austria
| | - Josef Singer
- Karl Landsteiner University of Health Sciences, A-3500 Krems, Austria
- Department of Internal Medicine II, University Hospital Krems, A-3500 Krems, Austria
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Jaramillo C, Ferguson E, Odisio E, Ocazionez D. High-density pulmonary lesions: Review in chest imaging. Curr Probl Diagn Radiol 2024; 53:745-752. [PMID: 39019711 DOI: 10.1067/j.cpradiol.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Accepted: 07/08/2024] [Indexed: 07/19/2024]
Abstract
High-density pulmonary lesions are frequently seen in chest imaging, and it is important to identify their different causes. Radiologists must be able to distinguish between common and rare conditions in order to provide the best diagnosis and treatment. This article provides an overview of the various causes and imaging features of high-density lesions in the lungs. The lesions are classified into various categories, such as pulmonary nodules, inflammatory conditions, deposition diseases, contrast-related lesions, and thoracic devices. A clear understanding of these categories can help radiologists accurately diagnose and manage high-density pulmonary lesions encountered in practice.
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Affiliation(s)
- Catalina Jaramillo
- University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 7000 Fannin St, Houston, TX, 77030.
| | - Emma Ferguson
- University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 7000 Fannin St, Houston, TX, 77030
| | - Erika Odisio
- University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 7000 Fannin St, Houston, TX, 77030
| | - Daniel Ocazionez
- University of Texas Health Science Center at Houston, Department of Diagnostic & Interventional Imaging, 7000 Fannin St, Houston, TX, 77030
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Cao J, Mroueh N, Mercaldo N, Lennartz S, Kongboonvijit S, Srinivas Rao S, Pisuchpen N, Baliyan V, Pierce TT, Anderson MA, Sertic M, Shenoy-Bhangle AS, Kambadakone AR, Atzen S. Detectability of Hypoattenuating Liver Lesions with Deep Learning CT Reconstruction: A Phantom and Patient Study. Radiology 2024; 313:e232749. [PMID: 39377679 PMCID: PMC11535864 DOI: 10.1148/radiol.232749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 06/12/2024] [Accepted: 07/29/2024] [Indexed: 10/09/2024]
Abstract
Background CT deep learning image reconstruction (DLIR) improves image quality by reducing noise compared with adaptive statistical iterative reconstruction-V (ASIR-V). However, objective assessment of low-contrast lesion detectability is lacking. Purpose To investigate low-contrast detectability of hypoattenuating liver lesions on CT scans reconstructed with DLIR compared with CT scans reconstructed with ASIR-V in a patient and a phantom study. Materials and Methods This single-center retrospective study included patients undergoing portal venous phase abdominal CT between February and May 2021 and a low-contrast-resolution phantom scanned with the same protocol. Four reconstructions (ASIR-V at 40% strength [ASIR-V 40] and DLIR at three strengths) were generated. Five radiologists qualitatively assessed the images using the five-point Likert scale for image quality, lesion diagnostic confidence, conspicuity, and small lesion (≤1 cm) visibility. Up to two key lesions per patient, confirmed at histopathologic testing or at prior or follow-up imaging studies, were included. Lesion-to-background contrast-to-noise ratio was calculated. Interreader variability was analyzed. Intergroup qualitative and quantitative metrics were compared between DLIR and ASIR-V 40 using proportional odds logistic regression models. Results Eighty-six liver lesions (mean size, 15 mm ± 9.5 [SD]) in 50 patients (median age, 62 years [IQR, 57-73 years]; 27 [54%] female patients) were included. Differences were not detected for various qualitative low-contrast detectability metrics between ASIR-V 40 and DLIR (P > .05). Quantitatively, medium-strength DLIR and high-strength DLIR yielded higher lesion-to-background contrast-to-noise ratios than ASIR-V 40 (medium-strength DLIR vs ASIR-V 40: odds ratio [OR], 1.96 [95% CI: 1.65, 2.33]; high-strength DLIR vs ASIR-V 40: OR, 5.36 [95% CI: 3.68, 7.82]; P < .001). Low-contrast lesion attenuation was reduced by 2.8-3.6 HU with DLIR. Interreader agreement was moderate to very good for the qualitative metrics. Subgroup analysis based on lesion size of larger than 1 cm and 1 cm or smaller yielded similar results (P > .05). Qualitatively, phantom study results were similar to those in patients (P > .05). Conclusion The detectability of low-contrast liver lesions was similar on CT scans reconstructed with low-, medium-, and high-strength DLIR and ASIR-V 40 in both patient and phantom studies. Lesion-to-background contrast-to-noise ratios were higher for DLIR medium- and high-strength reconstructions compared with ASIR-V 40. © RSNA, 2024 Supplemental material is available for this article.
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Affiliation(s)
| | | | - Nathaniel Mercaldo
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Simon Lennartz
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Sasiprang Kongboonvijit
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Shravya Srinivas Rao
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Nisanard Pisuchpen
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Vinit Baliyan
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Theodore T. Pierce
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Mark A. Anderson
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Madeleine Sertic
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Anuradha S. Shenoy-Bhangle
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Avinash R. Kambadakone
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
| | - Sarah Atzen
- From the Department of Radiology, Division of Abdominal Radiology,
Massachusetts General Hospital, Harvard Medical School, 55 Fruit St, White 270,
Boston, MA 02114-2696 (J.C., N. Mroueh, N. Mercaldo, S.L., S.K., S.S.R., N.P.,
V.B., T.T.P., M.A.A., M.S., A.S.S.B., A.R.K.); Institute for Diagnostic and
Interventional Radiology, Faculty of Medicine, University Cologne, University
Hospital Cologne, Cologne, Germany (S.L.); and Department of Radiology, Faculty
of Medicine, King Chulalongkorn Memorial Hospital, Thai Red Cross Society,
Chulalongkorn University, Bangkok, Thailand (S.K., N.P.)
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Fenwick A, Black C, Linehan V, Gala-Lopez BL, Costa AF. Resection of colorectal carcinoma liver metastases: A population-based study in outcomes and factors associated with recurrent disease. Curr Probl Diagn Radiol 2024; 53:481-487. [PMID: 38702281 DOI: 10.1067/j.cpradiol.2024.04.007] [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: 12/04/2023] [Revised: 03/15/2024] [Accepted: 04/18/2024] [Indexed: 05/06/2024]
Abstract
OBJECTIVE To assess the hepatic disease-free survival (HDFS) and overall survival (OS) of patients who underwent resection of colorectal cancer liver metastases (CRCLM) in our population, and evaluate what factors are associated with these outcomes. METHODS Patients with resected non-mucinous CRCLM between January 2013-February 2020 were retrospectively identified. Dates of diagnosis, surgery, and, if applicable, death were recorded. HDFS and OS were calculated using a census date of 24 September 2022. Separate Cox multivariate regression analyses were performed to evaluate for association between HDFS and OS and the following factors: pre-operative imaging interval (<4 weeks vs. ≥4 weeks); pre-operative imaging modality (CT only vs. MRI+CT); extrahepatic disease at time of hepatectomy (yes vs. no); tumor burden score (TBS, where TBS2 = (largest axial dimension of CRCLM)2 + (number of CRCLM)2); pT and pN; and neoadjuvant chemotherapy. RESULTS 137 subjects (mean age, 61 ± 11 years, 86 males) were included. Associations with recurrent hepatic disease were found with chemotherapy (HR 2.11[95 % CI = 1.13-3.92]), TBS (HR 1.30[95 % CI = 1.17-1.45]), MRI+CT (HR 2.12[95 % CI = 1.29-3.48]), and extrahepatic disease at hepatectomy (HR 2.16[95 % CI = 1.08-4.35]). For mortality, associations were found with TBS (HR 1.22[95 % CI = 1.09-1.37]), pT (HR 1.45[95 % CI = 1.05-2.00]), and extrahepatic disease at hepatectomy (HR 2.10[95 % CI = 1.31-3.36]). CONCLUSION In our population, non-imaging related factors TBS, neoadjuvant chemotherapy, pT and presence of extrahepatic disease at time of hepatectomy were associated with HDFS and/or OS. The preoperative imaging interval and use of preoperative MRI were not associated with improved patient outcomes.
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Affiliation(s)
- Andrew Fenwick
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University. Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, Nova Scotia, Canada B3H 2Y9
| | - Curtis Black
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University. Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, Nova Scotia, Canada B3H 2Y9
| | - Victoria Linehan
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University. Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, Nova Scotia, Canada B3H 2Y9
| | - Boris L Gala-Lopez
- Department of Surgery, Queen Elizabeth II Health Sciences Centre and Dalhousie University. Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, Nova Scotia, Canada B3H 2Y9; Beatrice Hunter Cancer Research Institute. Suite 2L-A2, Tupper Link, 5850 College Street P.O. Box 15000 Halifax, NS B3H 4R2
| | - Andreu F Costa
- Department of Diagnostic Radiology, Queen Elizabeth II Health Sciences Centre and Dalhousie University. Victoria General Building, 3rd floor, 1276 South Park Street, Halifax, Nova Scotia, Canada B3H 2Y9..
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Kallenbach M, Qvartskhava N, Weigel C, Dörffel Y, Berger J, Kunze G, Luedde T. [Contrast-enhanced ultrasound (CEUS) for characterisation of focal liver lesions]. ZEITSCHRIFT FUR GASTROENTEROLOGIE 2024; 62:952-970. [PMID: 37798924 PMCID: PMC11211032 DOI: 10.1055/a-2145-7461] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 06/21/2023] [Indexed: 10/07/2023]
Abstract
Due to the trend towards increased use of imaging and rising awareness among high-risk patients, gastroenterologists and hepatologists are more frequently confronted with patients with focal liver lesions. In the differentiation of these lesions, CT and MRI have increasingly found their way into primary diagnostic steps in everyday clinical practice. Contrast-enhanced sonography, on the other hand, is a very effective and cost-efficient method for assessing focal liver lesions. The success of the method is not only based on the visualisation of microvascularisation in real time. If sonography is performed by the treating physician, he can use the exact knowledge of history and clinical findings to specifically adapt the examination procedure and to interpret the sonographic findings with greater accuracy ("clinical sonography"). At the same time, the method enables the practitioner to combine diagnostics and management decisions in his or her own hands. To achieve excellent results with contrast-enhanced sonography-as with any other imaging method-it is necessary that the examiner is sufficiently qualified.This article systematically presents the sonographic characteristics of the most common liver lesions and clearly shows their contrast patterns using videos (available via QR code). The article illustrates that CEUS could-and from the authors' point of view, should-have an even greater significance in the future.
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Affiliation(s)
- Michael Kallenbach
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Natalia Qvartskhava
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Christian Weigel
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
| | - Yvonne Dörffel
- Medical Outpatient Department, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Jens Berger
- Ernst von Bergmann Klinikum, Department of Gastroenterology, Hepatology, Infectious Diseases and Rheumatology, Potsdam, Germany
| | - Georg Kunze
- Schwarzwald-Baar Klinikum Villingen-Schwenningen GmbH, Villingen-Schwenningen, Germany
| | - Tom Luedde
- Department of Gastroenterology Hepatology and Infectious Diseases, University Hospital of Düsseldorf, Düsseldorf, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Düsseldorf (CIO ABCD), Düsseldorf, Germany
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Emile SH, Horesh N, Garoufalia Z, Gefen R, Zhou P, Wexner SD. Propensity-score matched outcomes of resection of stage IV primary colon cancer with and without simultaneous resection of liver metastases. Updates Surg 2024; 76:845-853. [PMID: 38568358 PMCID: PMC11130067 DOI: 10.1007/s13304-024-01832-4] [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: 02/22/2024] [Accepted: 03/12/2024] [Indexed: 05/28/2024]
Abstract
There is controversy in the best management of colorectal cancer liver metastasis (CLM). This study aimed to compare short-term and survival outcomes of simultaneous resection of CLM and primary colon cancer compared to resection of only colon cancer. This retrospective matched cohort study included patients from the National Cancer Database (2015-2019) with stage IV colon adenocarcinoma and synchronous liver metastases who underwent colectomy. Patients were divided into two groups: colectomy-only (resection of primary colon cancer only) and colectomy-plus (simultaneous resection of primary colon cancer and liver metastases). The groups were matched using the propensity score method. The primary outcome was short-term mortality and readmission. Secondary outcomes were conversion, hospital stay, surgical margins, and overall survival. 4082 (37.6%) of 10,862 patients underwent simultaneous resection of primary colon cancer and liver metastases. After matching, 2038 patients were included in each group. There were no significant differences between the groups in 30-days mortality (3.1% vs 3.8%, p = 0.301), 90-days (6.6% vs 7.7%, p = 0.205) mortality, 30-days unplanned readmission (7.2% vs 5.3%, p = 0.020), or conversion to open surgery (15.5% vs. 13.8%, p = 0.298). Patients in the colectomy plus group had a higher rate of lower incidence of positive surgical margins (13.2% vs. 17.2%, p = 0.001) and longer overall survival (median: 41.5 vs 28.4 months, p < 0.001). Synchronous resection of CLM did not increase the rates of short-term mortality, readmission, conversion from minimally invasive to open surgery, or hospital stay and was associated with a lower incidence of positive surgical margins.
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Affiliation(s)
- Sameh Hany Emile
- Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA
- Colorectal Surgery Unit, General Surgery Department, Mansoura University Hospitals, Mansoura, Egypt
| | - Nir Horesh
- Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA
- Department of Surgery and Transplantation, Sheba Medical Center, Ramat-Gan, Israel
| | - Zoe Garoufalia
- Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA
| | - Rachel Gefen
- Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA
- Department of General Surgery, Hadassah Medical Organization and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
| | - Peige Zhou
- Georgia Colon and Rectal Surgical Associates, Northside Hospital, Atlanta, Georgia
| | - Steven D Wexner
- Ellen Leifer Shulman and Steven Shulman Digestive Disease Center, Cleveland Clinic Florida, 2950 Cleveland Clinic Blvd., Weston, FL, 33179, USA.
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Chlorogiannis DD, Moussa AM, Zhao K, Alexander ES, Sofocleous CT, Sotirchos VS. Imaging Considerations before and after Liver-Directed Locoregional Treatments for Metastatic Colorectal Cancer. Diagnostics (Basel) 2024; 14:772. [PMID: 38611685 PMCID: PMC11011364 DOI: 10.3390/diagnostics14070772] [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: 03/10/2024] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 04/14/2024] Open
Abstract
Colorectal cancer is a leading cause of cancer-related death. Liver metastases will develop in over one-third of patients with colorectal cancer and are a major cause of morbidity and mortality. Even though surgical resection has been considered the mainstay of treatment, only approximately 20% of the patients are surgical candidates. Liver-directed locoregional therapies such as thermal ablation, Yttrium-90 transarterial radioembolization, and stereotactic body radiation therapy are pivotal in managing colorectal liver metastatic disease. Comprehensive pre- and post-intervention imaging, encompassing both anatomic and metabolic assessments, is invaluable for precise treatment planning, staging, treatment response assessment, and the prompt identification of local or distant tumor progression. This review outlines the value of imaging for colorectal liver metastatic disease and offers insights into imaging follow-up after locoregional liver-directed therapy.
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Affiliation(s)
| | - Amgad M. Moussa
- Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Ken Zhao
- Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | - Erica S. Alexander
- Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
| | | | - Vlasios S. Sotirchos
- Interventional Radiology Service, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA
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9
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Görgec B, Verpalen IM, Sijberden JP, Abu Hilal M, Bipat S, Verhoef C, Swijnenburg RJ, Besselink MG, Stoker J. Added Value of Liver MRI in Patients Eligible for Surgical Resection or Ablation of Colorectal Liver Metastases Based on CT: A Systematic Review and Meta-Analysis. ANNALS OF SURGERY OPEN 2024; 5:e401. [PMID: 38883954 PMCID: PMC11175892 DOI: 10.1097/as9.0000000000000401] [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: 01/18/2024] [Accepted: 02/19/2024] [Indexed: 06/18/2024] Open
Abstract
Background Abdominal computed tomography (CT) is the standard imaging modality for detection and staging in patients with colorectal liver metastases (CRLM). Although liver magnetic resonance imaging (MRI) is superior to CT in detecting small lesions, guidelines are ambiguous regarding the added value of an additional liver MRI in the surgical workup of patients with CRLM. Therefore, this systematic review and meta-analysis aimed to evaluate the clinical added value of liver MRI in patients eligible for resection or ablation of CRLM based on CT. Methods A systematic search was performed in the PubMed, Embase, and Cochrane Library databases through June 23, 2023. Studies investigating the impact of additional MRI on local treatment plan following CT in patients with CRLM were included. Risk of bias was assessed using the QUADAS-2 tool. The pooled weighted proportions for the primary outcome were calculated using random effect meta-analysis. Results Overall, 11 studies with 1440 patients were included, of whom 468 patients (32.5%) were assessed for change in local treatment plan. Contrast-enhanced liver MRI was used in 10 studies, including gadoxetic acid in 9 studies. Liver MRI with diffusion-weighted imaging was used in 8 studies. Pooling of data found a 24.12% (95% confidence interval, 15.58%-32.65%) change in the local treatment plan based on the added findings of liver MRI following CT. Sensitivity analysis including 5 studies (268 patients) focusing on monophasic portal venous CT followed by gadoxetic acid-enhanced liver MRI with diffusion-weighted imaging showed a change of local treatment plan of 17.88% (95% confidence interval, 5.14%-30.62%). Conclusions This systematic review and meta-analysis found that liver MRI changed the preinterventional local treatment plan in approximately one-fifth of patients eligible for surgical resection or ablation of CRLM based on CT. These findings suggest a clinically relevant added value of routine liver MRI in the preinterventional workup of CRLM, which should be confirmed by large prospective studies.
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Affiliation(s)
- Burak Görgec
- From the Department of Surgery, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
| | - Inez M. Verpalen
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
| | - Jasper P. Sijberden
- From the Department of Surgery, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Mohammad Abu Hilal
- Department of Surgery, Poliambulanza Foundation Hospital, Brescia, Italy
| | - Shandra Bipat
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
| | - Cornelis Verhoef
- Department of Surgical Oncology and Gastrointestinal Surgery, Erasmus Medical Center, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Rutger-Jan Swijnenburg
- From the Department of Surgery, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Marc G. Besselink
- From the Department of Surgery, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Amsterdam, The Netherlands
| | - Jaap Stoker
- Cancer Center Amsterdam, Amsterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location University of Amsterdam, Amsterdam, The Netherlands
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Li J, Zhu J, Zou Y, Zhang G, Zhu P, Wang N, Xie P. Diagnostic CT of colorectal cancer with artificial intelligence iterative reconstruction: A clinical evaluation. Eur J Radiol 2024; 171:111301. [PMID: 38237522 DOI: 10.1016/j.ejrad.2024.111301] [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: 09/06/2023] [Revised: 12/26/2023] [Accepted: 01/07/2024] [Indexed: 02/10/2024]
Abstract
OBJECTIVES To investigate the clinical value of a novel deep-learning based CT reconstruction algorithm, artificial intelligence iterative reconstruction (AIIR), in diagnostic imaging of colorectal cancer (CRC). METHODS This study retrospectively enrolled 217 patients with pathologically confirmed CRC. CT images were reconstructed with the AIIR algorithm and compared with those originally obtained with hybrid iterative reconstruction (HIR). Objective image quality was evaluated in terms of the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR). Subjective image quality was graded on the conspicuity of tumor margin and enhancement pattern as well as the certainty in diagnosing organ invasion and regional lymphadenopathy. In patients with surgical pathology (n = 116), the performance of diagnosing visceral peritoneum invasion was characterized using receiver operating characteristic (ROC) analysis. Changes of diagnostic thinking in diagnosing hepatic metastases were assessed through lesion classification confidence. RESULTS The SNRs and CNRs on AIIR images were significantly higher than those on HIR images (all p < 0.001). The AIIR was scored higher for all subjective metrics (all p < 0.001) except for the certainty of diagnosing regional lymphadenopathy (p = 0.467). In diagnosing visceral peritoneum invasion, higher area under curve (AUC) of the ROC was found for AIIR than HIR (0.87 vs 0.77, p = 0.001). In assessing hepatic metastases, AIIR was found capable of correcting the misdiagnosis and improving the diagnostic confidence provided by HIR (p = 0.01). CONCLUSIONS Compared to HIR, AIIR offers better image quality, improves the diagnostic performance regarding CRC, and thus has the potential for application in routine abdominal CT.
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Affiliation(s)
- Jiao Li
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
| | - Junying Zhu
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
| | - Yixuan Zou
- United Imaging Healthcare, Shanghai 201800, China.
| | - Guozhi Zhang
- United Imaging Healthcare, Shanghai 201800, China.
| | - Pan Zhu
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
| | - Ning Wang
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
| | - Peiyi Xie
- Department of Radiology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Disease, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong 510655, China.
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11
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Sun C, Liu X, Sun J, Dong L, Wei F, Bao C, Zhong J, Li Y. A CT-based radiomics nomogram for predicting histopathologic growth patterns of colorectal liver metastases. J Cancer Res Clin Oncol 2023; 149:9543-9555. [PMID: 37221440 DOI: 10.1007/s00432-023-04852-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 05/11/2023] [Indexed: 05/25/2023]
Abstract
PURPOSE To develop a computed tomography (CT)-based radiomics nomogram for pre-treatment prediction of histopathologic growth patterns (HGPs) in colorectal liver metastases (CRLM) and to validate its accuracy and clinical value. MATERIALS AND METHODS This retrospective study included a total of 197 CRLM from 92 patients. Lesions from CRLM were randomly divided into the training study (n = 137) and the validation study (n = 60) with the ratio of 3:1 for model construction and internal validation. The least absolute shrinkage and selection operator (LASSO) was used to screen features. Radiomics score (rad-score) was calculated to generate radiomics features. A predictive radiomics nomogram based on rad-score and clinical features was developed using random forest (RF). The performances of clinical model, radiomic model and radiomics nomogram were thoroughly evaluated by the DeLong test, decision curve analysis (DCA) and clinical impact curve (CIC) allowing for generation of an optimal predictive model. RESULTS The radiological nomogram model consists of three independent predictors, including rad-score, T-stage, and enhancement rim on PVP. Training and validation results demonstrated the high-performance level of the model of area under curve (AUC) of 0.86 and 0.84, respectively. The radiomic nomogram model can achieve better diagnostic performance than the clinical model, yielding greater net clinical benefit compared to the clinical model alone. CONCLUSIONS A CT-based radiomics nomogram can be used to predict HGPs in CRLM. Preoperative non-invasive identification of HGPs could further facilitate clinical treatment and provide personalized treatment plans for patients with liver metastases from colorectal cancer.
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Affiliation(s)
- Chao Sun
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Xuehuan Liu
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Jie Sun
- Department of Pathology, Tianjin Union Medical Center, Tianjin, 300121, People's Republic of China
| | - Longchun Dong
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Feng Wei
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Cuiping Bao
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Jin Zhong
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China
| | - Yiming Li
- Department of Radiology, Tianjin Union Medical Center, Jieyuan Road, Hongqiao District, Tianjin, 300121, People's Republic of China.
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12
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Carconi C, Cerreti M, Roberto M, Arrivi G, D'Ambrosio G, De Felice F, Di Civita MA, Iafrate F, Lucatelli P, Magliocca FM, Picchetto A, Picone V, Catalano C, Cortesi E, Tombolini V, Mazzuca F, Tomao S. The Management of Oligometastatic Disease in Colorectal Cancer: Present Strategies and Future Perspectives. Crit Rev Oncol Hematol 2023; 186:103990. [PMID: 37061075 DOI: 10.1016/j.critrevonc.2023.103990] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 03/29/2023] [Accepted: 04/11/2023] [Indexed: 04/17/2023] Open
Abstract
Oligometastatic disease has been described as an intermediate clinical state between localized cancer and systemically metastasized disease. Recent clinical studies have shown prolonged survival when aggressive locoregional approaches are added to systemic therapies in patients with oligometastases. The aim of this review is to outline the newest options to treat oligometastatic colorectal cancer (CRC), also considering its molecular patterns. We present an overview of the available local treatment strategies, including surgical procedures, stereotactic body radiation therapy (SBRT), thermal ablation, as well as trans-arterial chemoembolization (TACE) and selective internal radiotherapy (SIRT). Moreover, since imaging methods provide crucial information for the early diagnosis and management of oligometastatic CRC, we discuss the role of modern radiologic techniques in selecting patients that are amenable to potentially curative locoregional treatments.
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Affiliation(s)
- Catia Carconi
- Sant'Andrea University Hospital, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Micaela Cerreti
- Sant'Andrea University Hospital, Faculty of Medicine and Psychology, "Sapienza" University of Rome, Rome, Italy
| | - Michela Roberto
- UOC Oncologia A, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, 00161 Rome, Italy.
| | - Giulia Arrivi
- Oncology Unit, Sant' Andrea University Hospital, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Giancarlo D'Ambrosio
- Department of General Surgery, Surgical Specialties and Organ Transplantation, Policlinico Umberto I, "Sapienza" University of Rome, 00161 Rome, Italy
| | - Francesca De Felice
- Department of Radiotherapy, Policlinico Umberto I "Sapienza" University of Rome, Rome, Italy
| | - Mattia Alberto Di Civita
- UOC Oncologia A, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, 00161 Rome, Italy
| | - Franco Iafrate
- Department of Radiological Sciences, Oncology and Pathology, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Pierleone Lucatelli
- Vascular and Interventional radiology Unit, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Fabio Massimo Magliocca
- Vascular and Interventional radiology Unit, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Andrea Picchetto
- Emergency Department, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Vincenzo Picone
- UOC Oncologia B, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Carlo Catalano
- Vascular and Interventional radiology Unit, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Enrico Cortesi
- UOC Oncologia B, Department of radiological, Oncological and Anathomo-patological Science, Policlinico Umberto I, "Sapienza" University of Rome, Rome, Italy
| | - Vincenzo Tombolini
- Department of Radiotherapy, Policlinico Umberto I "Sapienza" University of Rome, Rome, Italy
| | - Federica Mazzuca
- Oncology Unit, Sant' Andrea University Hospital, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
| | - Silverio Tomao
- Oncology Unit, Sant' Andrea University Hospital, Department of Clinical and Molecular Medicine, Sapienza University of Rome, Rome, Italy
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Chiang TY, Hsu HC, Chern YJ, Liao CK, Hsu YJ, Tsai WS, Hsieh PS, Lin YF, Lee HL, You JF. Skin Toxicity as a Predictor of Survival in Metastatic Colorectal Cancer Patients Treated with Anti-EGFR: Fact or Fallacy? Cancers (Basel) 2023; 15:cancers15061663. [PMID: 36980549 PMCID: PMC10046585 DOI: 10.3390/cancers15061663] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Revised: 03/01/2023] [Accepted: 03/06/2023] [Indexed: 03/12/2023] Open
Abstract
The primary treatment for metastatic colorectal cancer (mCRC) consists of targeted therapy and chemotherapy to improve survival. A molecular target drug with an anti-epidermal growth factor receptor (EGFR) antagonist is recommended when the RAS and BRAF genes are normal. About 50–70% of patients using anti-EGFR antagonists will experience skin reactions. Some studies have shown that severe skin reactions caused by anti-EGFR antagonists may be linked to overall survival (OS) and progression-free survival (PFS), but the results are still uncertain. These data of mCRC patients who underwent anti-EGFR therapy between October 2017 and October 2018 were analyzed retrospectively. A total of 111 patients were included in this study. The survival results showed that gender, age, body mass index, primary tumor site, and recurrence did not significantly affect OS and PFS. However, the first-line anti-EGFR inhibitor treatment was significantly associated with OS (p < 0.001) and PFS (p < 0.001). There was no significant difference in the incidence of acne between males and females in grades 1 and 2, while males have a greater risk in grades 3 and 4 than females (20.3 vs. 4.8%; p-value = 0.041). Skin toxicity was not a predictor of anti-EGFR treatment response in this investigation.
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Affiliation(s)
- Ting-Yu Chiang
- Department of Nursing, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Hung-Chih Hsu
- Division of Hematology-Oncology, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Yih-Jong Chern
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Chun-Kai Liao
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Yu-Jen Hsu
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Wen-Sy Tsai
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Pao-Shiu Hsieh
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Yu-Fen Lin
- Department of Nursing, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Hsiu-Lan Lee
- Department of Nursing, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
| | - Jeng-Fu You
- Division of Colon and Rectal Surgery, Department of Surgery, Chang Gung Memorial Hospital at Linkou, College of Medicine, Chang Gung University, Taoyuan 33305, Taiwan
- Correspondence:
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14
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Clinical value of fluorine-18-fluorodeoxyglucose PET/MRI for liver metastasis in colorectal cancer: a prospective study. Nucl Med Commun 2023; 44:150-160. [PMID: 36630219 DOI: 10.1097/mnm.0000000000001651] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
PURPOSE To evaluate the diagnostic performance of liver 18F-FDG PET/MRI in addition to whole-body PET/CT and to compare it with MRI in the detection and clinical management of liver metastasis in patients with colorectal cancer (CRC). MATERIAL AND METHODS Seventy-eight patients with CRC who underwent whole-body 18F-FDG PET/CT followed by liver PET/MRI were prospectively included. Histopathological confirmation and/or at least 3 months of clinical follow-up after PET/MRI were accepted as gold standard. Lesion and patient-based analyses were performed to evaluate the diagnostics performances of PET/CT, PET/MRI and MRI. In addition, changes of clinical management were evaluated. RESULTS On lesion-based analysis, for PET/CT, PET/MRI and MRI; sensitivity (Se): 55.6%, 97.2% and 100%; specificity (Sp): 98.5%, 100% and 80.5%; and accuracy (Acc): 70.7%, 98.2% and 93.1% were calculated, respectively. Se and Acc of PET/MRI and MRI were significantly superior than PET/CT (P < 0.001). Se and Acc of PET/MRI and MRI were comparable; however, Sp of PET/MRI was significantly better than MRI (P < 0.001). On patient-based analysis, Se: 75.6%, 100% and 100%; Sp: 97.3%, 100% and 86.5%; and Acc: 85.9%, 100% and 93.5% were calculated, respectively. Se and Acc of PET/MRI were significantly superior than PET/CT (P < 0.001). Also, Se of MRI was significantly superior than PET/CT (P < 0.001). Se of PET/MRI and MRI were comparable, but Sp and Acc of PET/MRI were significantly better than MRI. The additional information obtained from liver PET/MRI changed treatment strategy in 14/78 (18%) patients compared to PET/CT or alone liver MRI. CONCLUSION Diagnostic performances of PET/MRI and MRI for detection of CRC liver metastasis is superior to PET/CT. PET/MRI especially helps in the accurate detection of liver metastases that are suspicious on MRI and has the potential to change the clinical management of especially oligometastatic patients by identifying uncertain liver lesions.
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15
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The Value of 18F-FDG-PET-CT Imaging in Treatment Evaluation of Colorectal Liver Metastases: A Systematic Review. Diagnostics (Basel) 2022; 12:diagnostics12030715. [PMID: 35328267 PMCID: PMC8947194 DOI: 10.3390/diagnostics12030715] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/04/2022] [Accepted: 03/05/2022] [Indexed: 02/01/2023] Open
Abstract
(1) Background: Up to 50% of patients with colorectal cancer either have synchronous colorectal liver metastases (CRLM) or develop CRLM over the course of their disease. Surgery and thermal ablation are the most common local treatment options of choice. Despite development and improvement in local treatment options, (local) recurrence remains a significant clinical problem. Many different imaging modalities can be used in the follow-up after treatment of CRLM, lacking evidence-based international consensus on the modality of choice. In this systematic review, we evaluated 18F-FDG-PET-CT performance after surgical resection, thermal ablation, radioembolization, and neoadjuvant and palliative chemotherapy based on current published literature. (2) Methods: A systematic literature search was performed on the PubMed database. (3) Results: A total of 31 original articles were included in the analysis. Only one suitable study was found describing the role of 18F-FDG-PET-CT after surgery, which makes it hard to draw a firm conclusion. 18F-FDG-PET-CT showed to be of additional value in the follow-up after thermal ablation, palliative chemotherapy, and radioembolization. 18F-FDG-PET-CT was found to be a poor to moderate predictor of pathologic response after neoadjuvant chemotherapy. (4) Conclusions: 18F-FDG-PET-CT is superior to conventional morphological imaging modalities in the early detection of residual disease after thermal ablation and in the treatment evaluation and prediction of prognosis during palliative chemotherapy and after radioembolization, and 18F-FDG-PET-CT could be considered in selected cases after neoadjuvant chemotherapy and surgical resection.
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Boktor RR, Lee ST, Scott AM. PET/CT imaging in colorectal carcinoma. Nucl Med Mol Imaging 2022. [DOI: 10.1016/b978-0-12-822960-6.00033-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
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Abstract
Colorectal cancer (CRC) is one of the most common cancers in the world. The most important determinant of survival and prognosis is the stage and presence of metastasis. The liver is the most common location for CRC metastasis. The only curative treatment for CRC liver metastasis (CRLM) is resection; however, many patients are ineligible for surgical resection of CRLM. Locoregional treatments such as ablation and intra-arterial therapy are also available for patients with CRLM. Assessment of response after chemotherapy is challenging due to anatomical and functional changes. Antiangiogenic agents such as bevacizumab that are used in the treatment of CRLM may show atypical patterns of response on imaging. It is vital to distinguish patterns of response in addition to toxicities to various treatments. Imaging plays a critical role in evaluating the characteristics of CRLM and the approach to treatment. CT is the modality of choice in the diagnosis and management of CRLM. MRI is best used for indeterminate lesions and to assess response to intra-arterial therapy. PET-CT is often utilized to detect extrahepatic metastasis. State-of-the-art imaging is critical to characterize patterns of response to various treatments. We herein review the imaging characteristics of CRLM with an emphasis on imaging changes following the most common CRLM treatments.
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Freitas PS, Janicas C, Veiga J, Matos AP, Herédia V, Ramalho M. Imaging evaluation of the liver in oncology patients: A comparison of techniques. World J Hepatol 2021; 13:1936-1955. [PMID: 35069999 PMCID: PMC8727197 DOI: 10.4254/wjh.v13.i12.1936] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/26/2021] [Accepted: 11/28/2021] [Indexed: 02/06/2023] Open
Abstract
The liver is commonly affected by metastatic disease. Therefore, it is essential to detect and characterize liver metastases, assuming that patient management and prognosis rely on it. The imaging techniques that allow non-invasive assessment of liver metastases include ultrasonography, computed tomography (CT), magnetic resonance imaging (MRI), positron emission tomography (PET)/CT, and PET/MRI. In this paper, we review the imaging findings of liver metastases, focusing on each imaging modality's advantages and potential limitations. We also assess the importance of different imaging modalities for the management, follow-up, and therapy response of liver metastases. To date, both CT and MRI are the most appropriate imaging methods for initial lesion detection, follow-up, and assessment of treatment response. Multiparametric MRI is frequently used as a problem-solving technique for liver lesions and has evolved substantially over the past decade, including hardware and software developments and specific intravenous contrast agents. Several studies have shown that MRI performs better in small-sized metastases and moderate to severe liver steatosis cases. Although state-of-the-art MRI shows a greater sensitivity for detecting and characterizing liver metastases, CT remains the chosen method. We also present the controversial subject of the "economic implication" to use CT over MRI.
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Affiliation(s)
- Patrícia S Freitas
- Department of Radiology, Centro Hospitalar Universitário de Lisboa Central, Lisbon 1150-199, Portugal
| | - Catarina Janicas
- Department of Radiology, Centro Hospitalar de Lisboa Ocidental, Lisbon 1449-005, Portugal
| | - José Veiga
- Department of Radiology, Centro Hospitalar Universitário de Lisboa Central, Lisbon 1150-199, Portugal
| | - António P Matos
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital CUF Tejo, Lisbon 1350-352, Portugal
| | - Vasco Herédia
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital Espírito Santo de Évora-EPE, Évora 7000-811, Portugal
| | - Miguel Ramalho
- Department of Radiology, Hospital Garcia de Orta, EPE, Almada 2805-267, Portugal
- Department of Radiology, Hospital da Luz, Lisbon 1500-650, Portugal.
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19
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Haria PD, Baheti AD, Palsetia D, Ankathi SK, Choudhari A, Guha A, Saklani A, Sinha R. Follow-up of colorectal cancer and patterns of recurrence. Clin Radiol 2021; 76:908-915. [PMID: 34474747 DOI: 10.1016/j.crad.2021.07.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 07/29/2021] [Indexed: 12/19/2022]
Abstract
Colorectal cancer is one of the commonest cancers detected as also amongst the most common causes of cancer death. Survival has improved due to better disease understanding and treatment; however, a substantial proportion of patients recur after curative intent therapy. In this article, we will discuss the imaging features of recurrent colorectal cancer and the role of the radiologist in its management.
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Affiliation(s)
- P D Haria
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - A D Baheti
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India.
| | - D Palsetia
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - S K Ankathi
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - A Choudhari
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - A Guha
- Department of Radio-Diagnosis, Tata Memorial Centre, Mumbai, India; Homi Bhabha National Institute, Mumbai, India
| | - A Saklani
- Homi Bhabha National Institute, Mumbai, India; Department of GI Surgical Oncology, Tata Memorial Centre, Mumbai, India
| | - R Sinha
- South Warwickshire NHS Foundation Trust, Warwick, UK
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20
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Talakić E, Janek E, Mikalauskas S, Schemmer P. Liver Transplantation in Malignancies: A Comprehensive and Systematic Review on Oncological Outcome. Visc Med 2021; 37:302-314. [PMID: 34540947 PMCID: PMC8406343 DOI: 10.1159/000517328] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 05/20/2021] [Indexed: 12/13/2022] Open
Abstract
INTRODUCTION Liver transplantation (LT) is today's standard treatment for both end-stage liver disease and tumors; however, suitable grafts for LT are a scarce resource and outcome after LT is highly dependent on its underlying indication. Thus, patients must be carefully selected to optimize the number of life years gained per graft. This comprehensive and systematic review critically reflects the most recently published oncological outcome data after LT in malignancies based on the preoperative radiological findings. METHODS A systematic literature search was conducted to detect preferentially most recent high-volume series or large database analysis on oncological outcomes after LT for both primary liver cancer and liver metastases between January 1, 2019, and November 14, 2020. A comprehensive review on the radiological assessment of the reviewed liver malignancies is included and its preoperative value for an outcome-driven indication reflected. RESULTS Twenty most recent high-volume or relevant studies including a total number of 2,521 patients were identified including 4, 4, 4, 4, 3, and 1 publications on oncological outcome after LT for hepatocellular carcinoma, cholangiocellular carcinoma, hepatic epitheloid hemangioendothelioma, hepatoblastoma, and both metastatic neuroendocrine tumors and colorectal cancer, respectively. The overall survival is comparable to patients without tumors if patients with malignancies are well selected for LT; however, this is highly dependent on tumor entity, tumor stage, and both neoadjuvant and concomitant treatment. DISCUSSION/CONCLUSION LT is a promising option for better survival in patients with malignant liver tumors in selected patients; however, the indication must be critically discussed prior to LT in every single case in the context of organ shortage.
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Affiliation(s)
- Emina Talakić
- Division of General Radiology, Department of Radiology, Medical University Graz (MUG), Graz, Austria
- Transplant Center Graz, Medical University Graz (MUG), Graz, Austria
| | - Elmar Janek
- Division of General Radiology, Department of Radiology, Medical University Graz (MUG), Graz, Austria
- Transplant Center Graz, Medical University Graz (MUG), Graz, Austria
| | - Saulius Mikalauskas
- Transplant Center Graz, Medical University Graz (MUG), Graz, Austria
- General, Visceral and Transplant Surgery, Department of Surgery, Medical University Graz (MUG), Graz, Austria
| | - Peter Schemmer
- Transplant Center Graz, Medical University Graz (MUG), Graz, Austria
- General, Visceral and Transplant Surgery, Department of Surgery, Medical University Graz (MUG), Graz, Austria
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21
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Bae H, Lee H, Kim S, Han K, Rhee H, Kim DK, Kwon H, Hong H, Lim JS. Radiomics analysis of contrast-enhanced CT for classification of hepatic focal lesions in colorectal cancer patients: its limitations compared to radiologists. Eur Radiol 2021; 31:8786-8796. [PMID: 33970307 DOI: 10.1007/s00330-021-07877-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 02/04/2021] [Accepted: 03/12/2021] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To evaluate diagnostic performance of a radiomics model for classifying hepatic cyst, hemangioma, and metastasis in patients with colorectal cancer (CRC) from portal-phase abdominopelvic CT images. METHODS This retrospective study included 502 CRC patients who underwent contrast-enhanced CT and contrast-enhanced liver MRI between January 2005 and December 2010. Portal-phase CT images of training (n = 386) and validation (n = 116) cohorts were used to develop a radiomics model for differentiating three classes of liver lesions. Among multiple handcrafted features, the feature selection was performed using ReliefF method, and random forest classifiers were used to train the selected features. Diagnostic performance of the developed model was compared with that of four radiologists. A subgroup analysis was conducted based on lesion size. RESULTS The radiomics model demonstrated significantly lower overall and hemangioma- and metastasis-specific polytomous discrimination index (PDI) (overall, 0.8037; hemangioma-specific, 0.6653; metastasis-specific, 0.8027) than the radiologists (overall, 0.9622-0.9680; hemangioma-specific, 0.9452-0.9630; metastasis-specific, 0.9511-0.9869). For subgroup analysis, the PDI of the radiomics model was different according to the lesion size (< 10 mm, 0.6486; ≥ 10 mm, 0.8264) while that of the radiologists was relatively maintained. For classifying metastasis from benign lesions, the radiomics model showed excellent diagnostic performance, with an accuracy of 84.36% and an AUC of 0.9426. CONCLUSION Albeit inferior to the radiologists, the radiomics model achieved substantial diagnostic performance when differentiating hepatic lesions from portal-phase CT images of CRC patients. This model was limited particularly to classifying hemangiomas and subcentimeter lesions. KEY POINTS • Albeit inferior to the radiologists, the radiomics model could differentiate cyst, hemangioma, and metastasis with substantial diagnostic performance using portal-phase CT images of colorectal cancer patients. • The radiomics model demonstrated limitations especially in classifying hemangiomas and subcentimeter liver lesions.
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Affiliation(s)
- Heejin Bae
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Hansang Lee
- School of Electrical Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Sungwon Kim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Kyunghwa Han
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Hyungjin Rhee
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Dong-Kyu Kim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Hyuk Kwon
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea
| | - Helen Hong
- Department of Software Convergence, College of Interdisciplinary Studies for Emerging Industries, Seoul Women's University, Seoul, Republic of Korea
| | - Joon Seok Lim
- Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Republic of Korea.
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22
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Jo N, Marcal L, Katabathina VS, Morani AC, Rachamallu M, Prasad S, Yedururi S. Temporal evolution of metastatic disease: part I-an in-depth review of the evolution of metastatic disease across diverse spectrum of non-neural solid tumors on serial oncologic imaging studies and relevant practical applications. Jpn J Radiol 2021; 39:825-843. [PMID: 33963465 DOI: 10.1007/s11604-021-01126-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Accepted: 04/24/2021] [Indexed: 11/24/2022]
Abstract
With improved survival rates of patients with metastatic disease due to continuously evolving multimodality treatment options, radiologists are increasingly interpreting imaging studies from patients with protracted metastatic disease. It is thus crucial for radiologists to have an in-depth understanding of the temporal evolution of metastatic spread and the accompanying findings on imaging studies, to provide accurate interpretation that supports optimal management. A general overview of the evolution of cancer spread on serial imaging studies and common pathways of tumor spread across multiple tumor types and tumor locations is not readily available in radiology literature. The key common pathways of tumor spread across diverse spectrum of tumors relevant to radiologists are summarized in a logical schematic approach which focusses on aiding radiologists to understand the pathways of spread resulting in current sites of metastatic disease involvement and then to potentially predict future sites of metastatic involvement. This article also summarizes the practical applications of this knowledge to the routine oncologic imaging interpretation.
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Affiliation(s)
- Nahyun Jo
- Department of Internal Medicine, UAB Montgomery Regional Medical Campus, 2055 East South Blvd, Ste 200, Montogomery, AL, 36116, USA
| | - Leonardo Marcal
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA
| | - Venkata Subbiah Katabathina
- Department of Radiology, The University of Texas Health Science Center, Floyd Curl Drive, 7703, San Antonio, TX, 78229, USA
| | - Ajaykumar C Morani
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA
| | - Medhini Rachamallu
- Department of Biomedical Engineering, The University of Virginia, 415 Lane Road, MR5 2010 Box 800759, Charlottesville, VA, USA
| | - Srinivasa Prasad
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA
| | - Sireesha Yedururi
- Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Street, Unit 1473, Houston, TX, 77030, USA.
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23
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Tsili AC, Alexiou G, Naka C, Argyropoulou MI. Imaging of colorectal cancer liver metastases using contrast-enhanced US, multidetector CT, MRI, and FDG PET/CT: a meta-analysis. Acta Radiol 2021; 62:302-312. [PMID: 32506935 DOI: 10.1177/0284185120925481] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Imaging of colorectal cancer liver metastases (CRCLMs) has improved in recent years. Therefore, the role of current imaging techniques needs to be defined. PURPOSE To assess the diagnostic performance of contrast-enhanced ultrasound (CEUS), multidetector computed tomography (MDCT), magnetic resonance imaging (MRI), and fluorodeoxyglucose (FDG) positron emission tomography (PET)/CT in the detection of CRCLMs. MATERIAL AND METHODS PubMed database was searched for articles published during 2000-2019. Inclusion criteria were as follows: diagnosis/suspicion of CRCLMs; CEUS, MDCT, MRI, or FDG PET/CT performed for the detection of CRCLMs; prospective study design; histopathologic examination, intraoperative findings and/or follow-up used as reference standard; and data for calculating sensitivity and specificity reported. RESULTS Twelve prospective studies were assessed, including 536 patients with CRCLMs (n = 1335). On a per-lesion basis, the sensitivity of CEUS, MDCT, MRI, and FDG PET/CT was 86%, 84%, 89%, and 62%, respectively. MRI had the highest sensitivity on a per-lesion analysis. CEUS and MDCT had comparable sensitivities. On a per-patient basis, the sensitivity and specificity of CEUS, MDCT, MRI, and FDG PET/CT was 80% and 97%, 87% and 95%, 87% and 94%, and 96% and 97%, respectively. The per-patient sensitivities for MRI and MDCT were similar. The sensitivity for MRI was higher than that for CEUS, MDCT, and FDG PET/CT for lesions <10 mm and lesions at least 10 mm in size. Hepatospecific contrast agent did not improve diagnostic performances. CONCLUSION MRI is the preferred imaging modality for evaluating CRCLMs. Both MDCT and CEUS can be used as alternatives.
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Affiliation(s)
- Athina C Tsili
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - George Alexiou
- Department of Neurosurgery, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Christina Naka
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Maria I Argyropoulou
- Department of Clinical Radiology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
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24
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van Roekel C, van den Hoven AF, Bastiaannet R, Bruijnen RCG, Braat AJAT, de Keizer B, Lam MGEH, Smits MLJ. Use of an anti-reflux catheter to improve tumor targeting for holmium-166 radioembolization-a prospective, within-patient randomized study. Eur J Nucl Med Mol Imaging 2020; 48:1658-1668. [PMID: 33128132 PMCID: PMC8113291 DOI: 10.1007/s00259-020-05079-0] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Accepted: 10/15/2020] [Indexed: 12/17/2022]
Abstract
PURPOSE The objective of this study was to investigate whether the use of an anti-reflux catheter improves tumor targeting for colorectal cancer patients with unresectable, chemorefractory liver metastases (mCRC) treated with holmium-166 (166Ho)-radioembolization. MATERIALS AND METHODS In this perspective, within-patient randomized study, left and right hepatic perfusion territories were randomized between infusion with a Surefire® anti-reflux catheter or a standard microcatheter. The primary outcome was the difference in tumor to non-tumor (T/N) activity distribution. Secondary outcomes included the difference in infusion efficiency, absorbed doses, predictive value of 166Ho-scout, dose-response relation, and survival. RESULTS Twenty-one patients were treated in this study (the intended number of patients was 25). The median T/N activity concentration ratio with the use of the anti-reflux catheter was 3.2 (range 0.9-8.7) versus 3.6 (range 0.8-13.3) with a standard microcatheter. There was no difference in infusion efficiency (0.04% vs. 0.03% residual activity for the standard microcatheter and anti-reflux catheter, respectively) (95%CI - 0.05-0.03). No influence of the anti-reflux catheter on the dose-response rate was found. Median overall survival was 7.8 months (95%CI 6-13). CONCLUSION Using a Surefire® anti-reflux catheter did not result in a higher T/N activity concentration ratio in mCRC patients treated with 166Ho-radioembolization, nor did it result in improved secondary outcomes measures. TRIAL REGISTRATION clinicaltrials.gov identifier: NCT02208804.
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Affiliation(s)
- Caren van Roekel
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
| | - Andor F van den Hoven
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Remco Bastiaannet
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Rutger C G Bruijnen
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Arthur J A T Braat
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Bart de Keizer
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Marnix G E H Lam
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Maarten L J Smits
- University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
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25
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Martin J, Petrillo A, Smyth EC, Shaida N, Khwaja S, Cheow HK, Duckworth A, Heister P, Praseedom R, Jah A, Balakrishnan A, Harper S, Liau S, Kosmoliaptsis V, Huguet E. Colorectal liver metastases: Current management and future perspectives. World J Clin Oncol 2020; 11:761-808. [PMID: 33200074 PMCID: PMC7643190 DOI: 10.5306/wjco.v11.i10.761] [Citation(s) in RCA: 135] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/27/2020] [Revised: 05/14/2020] [Accepted: 08/31/2020] [Indexed: 02/06/2023] Open
Abstract
The liver is the commonest site of metastatic disease for patients with colorectal cancer, with at least 25% developing colorectal liver metastases (CRLM) during the course of their illness. The management of CRLM has evolved into a complex field requiring input from experienced members of a multi-disciplinary team involving radiology (cross sectional, nuclear medicine and interventional), Oncology, Liver surgery, Colorectal surgery, and Histopathology. Patient management is based on assessment of sophisticated clinical, radiological and biomarker information. Despite incomplete evidence in this very heterogeneous patient group, maximising resection of CRLM using all available techniques remains a key objective and provides the best chance of long-term survival and cure. To this end, liver resection is maximised by the use of downsizing chemotherapy, optimisation of liver remnant by portal vein embolization, associating liver partition and portal vein ligation for staged hepatectomy, and combining resection with ablation, in the context of improvements in the functional assessment of the future remnant liver. Liver resection may safely be carried out laparoscopically or open, and synchronously with, or before, colorectal surgery in selected patients. For unresectable patients, treatment options including systemic chemotherapy, targeted biological agents, intra-arterial infusion or bead delivered chemotherapy, tumour ablation, stereotactic radiotherapy, and selective internal radiotherapy contribute to improve survival and may convert initially unresectable patients to operability. Currently evolving areas include biomarker characterisation of tumours, the development of novel systemic agents targeting specific oncogenic pathways, and the potential re-emergence of radical surgical options such as liver transplantation.
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Affiliation(s)
- Jack Martin
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Angelica Petrillo
- Department of Precision Medicine, Division of Medical Oncology, University of Campania "L. Vanvitelli", Napoli 80131, Italy, & Medical Oncology Unit, Ospedale del Mare, 80147 Napoli Italy
| | - Elizabeth C Smyth
- Department of Oncology, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Nadeem Shaida
- Department of Radiology, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB22 0QQ, United Kingdom
| | - Samir Khwaja
- Department of Radiology, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB22 0QQ, United Kingdom
| | - HK Cheow
- Department of Nuclear Medicine, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Adam Duckworth
- Department of Pathology, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Paula Heister
- Department of Pathology, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Raaj Praseedom
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Asif Jah
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Anita Balakrishnan
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Simon Harper
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Siong Liau
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Vasilis Kosmoliaptsis
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
| | - Emmanuel Huguet
- Department of Surgery, Addenbrookes Hospital, NIHR Comprehensive Biomedical Research and Academic Health Sciences Centre, Cambridge University Hospitals NHS Foundation Trust, Cambridge CB2 0QQ, United Kingdom
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Enhanced Rim on MDCT of Colorectal Liver Metastases: Assessment of Ability to Predict Progression-Free Survival and Response to Bevacizumab-Based Chemotherapy. AJR Am J Roentgenol 2020; 215:1377-1383. [PMID: 32991216 DOI: 10.2214/ajr.19.22280] [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] [Indexed: 02/05/2023]
Abstract
OBJECTIVE. The purpose of this article is to evaluate the enhanced rim on the portal venous phase (PVP) on MDCT as a predictor of 1-year progression-free survival (PFS) and response to bevacizumab-based chemotherapy in patients with colorectal liver metastases (CRLM). MATERIALS AND METHODS. We retrospectively identified 111 patients with primary unresectable CRLM treated with bevacizumab-based chemotherapy at two institutions between 2012 and 2018. Pretreatment contrast-enhanced MDCT images were reviewed and data on clinical characteristics were collected from the electronic medical records. Univariable and multivariable analyses were conducted to assess several imaging features and clinical characteristics as potential predictors of 1-year PFS and objective response rate (ORR). RESULTS. After 1 year of follow-up, liver metastatic tumor progression was detected in 52 patients (46.8%) after bevacizumab-based chemotherapy. A log-rank test showed that enhanced rim on PVP (chi-square test, 5.862; p = 0.015) and the occurrence of liver resection surgery (chi-square test, 7.836; p = 0.005) were significant predictors of 1-year PFS. Multivariable analysis showed that enhanced rim on PVP images was an independent predictor of 1-year PFS (hazard ratio, 0.510; 95% CI, 0.282-0.926; p = 0.027) and ORR (odds ratio, 4.694; p < 0.001). CONCLUSION. The presence of an enhanced rim on PVP MDCT is an independent predictor of survival and response to bevacizumab-based chemotherapy among patients with CRLM.
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27
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Vaidya A, Ayat N, Buford M, Wang H, Shankardass A, Zhao Y, Gilmore H, Wang Z, Lu ZR. Noninvasive assessment and therapeutic monitoring of drug-resistant colorectal cancer by MR molecular imaging of extradomain-B fibronectin. Theranostics 2020; 10:11127-11143. [PMID: 33042274 PMCID: PMC7532678 DOI: 10.7150/thno.47448] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 06/23/2020] [Indexed: 12/16/2022] Open
Abstract
Antineoplastic resistance represents a multifaceted challenge for cancer therapy and diagnostics. Extensive molecular heterogeneity, even within neoplasms of the same type, can elicit distinct outcomes of administering therapeutic pressures, frequently leading to the development of drug-resistant populations. Improved success of oncotherapies merits the exploration of precise molecular imaging technologies that can detect not only anatomical but also molecular changes in tumors and their microenvironment, early on in the treatment regimen. To this end, we developed magnetic resonance molecular imaging (MRMI) strategies to target the extracellular matrix oncoprotein, extradomain-B fibronectin (EDB-FN), for non-invasive assessment and therapeutic monitoring of drug-resistant colorectal cancer (CRC). Methods: Two drug-resistant CRC lines generated from parent DLD-1 and RKO cells by long-term treatment with 5'-FU and 5'-FU plus CB-839 respectively, were characterized for functional and gene expression changes using 3D culture, transwell invasion, qRT-PCR, and western blot assays. Contrast-enhanced MRMI of EDB-FN was performed in athymic nu/nu mice bearing subcutaneous tumor xenografts with 40 µmol/kg dose of macrocyclic ZD2-targeted contrast agent MT218 [ZD2-N3-Gd (HP-DO3A)] on a 3T MRS 3000 scanner. Immunohistochemistry was conducted on patient specimens and xenografts using anti-EDB-FN antibody G4. Results: Analyses of TCGA and GTEx databases revealed poor prognosis of colon cancer patients with higher levels of EDB-FN. Similarly, immunohistochemical staining of patient specimens showed increased EDB-FN expression in primary colon adenocarcinoma and hepatic metastases, but none in normal adjacent tissues. Drug-resistant DLD1-DR and RKO-DR cells were also found to demonstrate enhanced invasive potential and significantly elevated EDB-FN expression over their parent counterparts. MRMI of EDB-FN with 40 µmol/kg dose of MT218 (60% lower than the clinical dose) resulted in robust signal enhancement in the drug-resistant CRC xenografts with 84-120% increase in their contrast-to-noise ratios (CNRs) over the non-resistant counterparts. The feasibility of non-invasive therapeutic monitoring using MRMI of EDB-FN was also evaluated in drug-resistant DLD1-DR tumors treated with a pan-AKT inhibitor MK2206-HCl. The treated drug-resistant tumors failed to respond to therapy, which was accurately detected by MRMI with MT218, demonstrating higher signal enhancement and increased CNRs in the 4-week follow-up scans over the pre-treatment scans. Conclusions: EDB-FN is a promising molecular marker for assessing drug resistance. MRMI of EDB-FN with MT218 at a significantly reduced dose can facilitate effective non-invasive assessment and treatment response monitoring of drug-resistant CRC, highlighting its translational potential for active surveillance and management of CRC and other malignancies.
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Affiliation(s)
- Amita Vaidya
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Nadia Ayat
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Megan Buford
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Helen Wang
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Aman Shankardass
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Yiqing Zhao
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Hannah Gilmore
- Department of Pathology, University Hospitals of Cleveland, Cleveland, OH 44106, USA
| | - Zhenghe Wang
- Department of Genetics and Genome Sciences, School of Medicine, Case Western Reserve University, Cleveland, OH 44106, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Zheng-Rong Lu
- Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
- Case Comprehensive Cancer Center, Case Western Reserve University, Cleveland, OH 44106, USA
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Han Y, Chai F, Wei J, Yue Y, Cheng J, Gu D, Zhang Y, Tong T, Sheng W, Hong N, Ye Y, Wang Y, Tian J. Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis. Front Oncol 2020; 10:1363. [PMID: 32923388 PMCID: PMC7456817 DOI: 10.3389/fonc.2020.01363] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 06/29/2020] [Indexed: 12/21/2022] Open
Abstract
Purpose: Developing an MRI-based radiomics model to effectively and accurately predict the predominant histopathologic growth patterns (HGPs) of colorectal liver metastases (CRLMs). Materials and Methods: In this study, 182 resected and histopathological proven CRLMs of chemotherapy-naive patients from two institutions, including 123 replacement CRLMs and 59 desmoplastic CRLMs, were retrospectively analyzed. Radiomics analysis was performed on two regions of interest (ROI), the tumor zone and the tumor-liver interface (TLI) zone. Decision tree (DT) algorithm was used for radiomics modeling on each MR sequence, and fused radiomics model was constructed by combining the radiomics signature of each sequence. The clinical and combination models were developed through multivariate logistic regression method. The performance of the developed models was assessed by receiver operating characteristic (ROC) curves with indicators of area under curve (AUC), accuracy, sensitivity, and specificity. A nomogram was constructed to evaluate the discrimination, calibration, and usefulness. Results: The fused radiomicstumor and radiomicsTLI models showed better performance than any single sequence and clinical model. In addition, the radiomicsTLI model exhibited better performance than radiomicstumor model (AUC of 0.912 vs. 0.879) in internal validation cohort. The combination model showed good discrimination, and the AUC of nomogram was 0.971, 0.909, and 0.905 in the training, internal validation, and external validation cohorts, respectively. Conclusion: MRI-based radiomics method has high potential in predicting the predominant HGPs of CRLM. Preoperative non-invasive identification of predominant HGPs could further explore the ability of HGPs as a potential biomarker for clinical treatment strategy, reflecting different biological pathways.
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Affiliation(s)
- Yuqi Han
- School of Life Science and Technology, Xidian University, Xi'an, China
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Fan Chai
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Jingwei Wei
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Yali Yue
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Jin Cheng
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Dongsheng Gu
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Key Laboratory of Molecular Imaging, Beijing, China
| | - Yinli Zhang
- Department of Pathology, Peking University People's Hospital, Beijing, China
| | - Tong Tong
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Weiqi Sheng
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Nan Hong
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Yingjiang Ye
- Department of Gastrointestinal Surgery, Peking University People' Hospital, Beijing, China
| | - Yi Wang
- Department of Radiology, Peking University People's Hospital, Beijing, China
| | - Jie Tian
- Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Key Laboratory of Molecular Imaging, Beijing, China
- Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China
- Engineering Research Centre of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, China
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29
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Hui CL, Mautone M. Patterns of enhancement in the hepatobiliary phase of gadoxetic acid-enhanced MRI. Br J Radiol 2020; 93:20190989. [PMID: 32462892 DOI: 10.1259/bjr.20190989] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
A variety of patterns of enhancement of liver lesions and liver parenchyma is observed in the hepatobiliary phase (HBP) of gadoxetic acid-enhanced MRI. It is becoming increasingly apparent that many lesions may exhibit HBP enhancement. Much of the literature regarding the role of gadoxetic acid-enhanced MRI in characterising liver lesions is dichotomous, focusing on whether lesions are enhancing or non-enhancing in the HBP, rather than examining the patterns of enhancement. We provide a pattern-based description of HBP enhancement of liver parenchyma and of liver lesions. The role of OATP1B3 transporters, hepatocyte function and lesion composition in influencing patterns of HBP hyperintensity are discussed.
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Affiliation(s)
- Cathryn L Hui
- Diagnostic Imaging Department, Monash Health, Melbourne, Australia
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Characterization of Liver Metastases During Catheter-Directed Liver Interventions: A Comparison between Dual Phase Cone-Beam Computed Tomography and Conventional Contrast-Enhanced Computed Tomography. J Belg Soc Radiol 2020; 104:41. [PMID: 32704616 PMCID: PMC7350946 DOI: 10.5334/jbsr.2052] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Objectives: To compare the diagnostic performance of intra-arterial dual phase cone-beam computed tomography (DP-CBCT) with contrast-enhanced computed tomography (CE-CT) when characterizing tumor burden in patients with metastatic liver cancer. Materials and Methods: This retrospective study included 29 patients with colorectal (n =10), breast (n = 9) and neuroendocrine (n = 10) liver metastases, referred for catheter-directed treatment. Tumor type, number, maximum size, and appearance were assessed. Paired-sample t-tests compared image quality, tumor numbers, and diameters between imaging modalities. Results: Image quality was not different between DP-CBCT and CE-CT (p = 0.9). In 18 patients (62%) DP-CBCT and CE-CT showed diffuse, uncountable metastases in the liver. Of the remaining 11 patients, DP-CBCT identified two patients with diffuse tumors that appeared as a sum of 17 distinct metastases on CE-CT. In the remaining nine patients a total of 102 metastases were found using both DP-CBCT and CE-CT. Tumor detection accuracy was 98% in DP-CBCT and 67% in CE-CT (p = 0.025). Metastases were larger in diameter on DP-CBCT: colorectal: 57 +/– 9.5 mm versus 43 +/– 8.3 mm (p = 0.02); breast: 57 +/– 10 mm versus 43 +/– 8.5 mm (p = 0.03) and neuroendocrine: 56 +/– 6.3 mm versus 51 +/– 5.8 mm (p = 0.01). Rim enhancement appeared in 100% of patients with colorectal and 89% of patients with breast metastases on DP-CBCT, but was variable on CE-CT. Neuroendocrine tumors had variable rim enhancement within the same patient and across imaging modalities. Conclusions: DP-CBCT of the liver may demonstrate larger metastatic tumor burden and lesion size with a variable contrast enhancement compared to CE-CT.
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31
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El Kaffas A, Hoogi A, Zhou J, Durot I, Wang H, Rosenberg J, Tseng A, Sagreiya H, Akhbardeh A, Rubin DL, Kamaya A, Hristov D, Willmann JK. Spatial Characterization of Tumor Perfusion Properties from 3D DCE-US Perfusion Maps are Early Predictors of Cancer Treatment Response. Sci Rep 2020; 10:6996. [PMID: 32332790 PMCID: PMC7181711 DOI: 10.1038/s41598-020-63810-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 03/26/2020] [Indexed: 02/08/2023] Open
Abstract
There is a need for noninvasive repeatable biomarkers to detect early cancer treatment response and spare non-responders unnecessary morbidities and costs. Here, we introduce three-dimensional (3D) dynamic contrast enhanced ultrasound (DCE-US) perfusion map characterization as inexpensive, bedside and longitudinal indicator of tumor perfusion for prediction of vascular changes and therapy response. More specifically, we developed computational tools to generate perfusion maps in 3D of tumor blood flow, and identified repeatable quantitative features to use in machine-learning models to capture subtle multi-parametric perfusion properties, including heterogeneity. Models were developed and trained in mice data and tested in a separate mouse cohort, as well as early validation clinical data consisting of patients receiving therapy for liver metastases. Models had excellent (ROC-AUC > 0.9) prediction of response in pre-clinical data, as well as proof-of-concept clinical data. Significant correlations with histological assessments of tumor vasculature were noted (Spearman R > 0.70) in pre-clinical data. Our approach can identify responders based on early perfusion changes, using perfusion properties correlated to gold-standard vascular properties.
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Affiliation(s)
- Ahmed El Kaffas
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA. .,Department of Radiology, Integrative Biomedical Imaging Informatics at Stanford, School of Medicine, Stanford University, Stanford, CA, USA. .,Department of Radiology, Body Imaging, Stanford University, Stanford, CA, USA.
| | - Assaf Hoogi
- Department of Radiology, Integrative Biomedical Imaging Informatics at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jianhua Zhou
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Isabelle Durot
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Huaijun Wang
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jarrett Rosenberg
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Albert Tseng
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Hersh Sagreiya
- Department of Radiology, Integrative Biomedical Imaging Informatics at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Alireza Akhbardeh
- Department of Radiology, Integrative Biomedical Imaging Informatics at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Daniel L Rubin
- Department of Radiology, Integrative Biomedical Imaging Informatics at Stanford, School of Medicine, Stanford University, Stanford, CA, USA
| | - Aya Kamaya
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA.,Department of Radiology, Body Imaging, Stanford University, Stanford, CA, USA
| | - Dimitre Hristov
- Department of Radiation Oncology, School of Medicine, Stanford University, Stanford, CA, USA
| | - Jürgen K Willmann
- Department of Radiology, Molecular Imaging Program at Stanford, School of Medicine, Stanford University, Stanford, CA, USA.,Department of Radiology, Body Imaging, Stanford University, Stanford, CA, USA
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Imaging and clinical correlates with regorafenib in metastatic colorectal cancer. Cancer Treat Rev 2020; 86:102020. [PMID: 32278232 DOI: 10.1016/j.ctrv.2020.102020] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/27/2020] [Accepted: 03/29/2020] [Indexed: 12/11/2022]
Abstract
In colorectal cancer (CRC), imaging is important in determining tumor stage, selecting treatment strategies, and in assessing response to therapy. However, some challenges remain with established imaging techniques, such as computed tomography, and with some commonly used response criteria, such as Response Evaluation Criteria in Solid Tumors, which measures change in size of several target lesions instead of change in tumor morphology or metabolic function. In addition, these assessments are not typically conducted until after 8 weeks of treatment, meaning that potential non-responders are often not identified in a timely manner. Regorafenib, an oral tyrosine kinase inhibitor indicated for the treatment of metastatic CRC, blocks the activity of several protein kinases involved in angiogenesis, oncogenesis, metastasis, and tumor immunity. Timely differentiation of regorafenib responders from non-responders using appropriate imaging techniques that recognize not only changes in tumor size but also changes in tumor density or vasculature, may reduce unnecessary drug-related toxicity in patients who are unlikely to respond to treatment. This review discusses the latest developments in computed tomography, magnetic resonance imaging, and positron emission tomography tumor imaging modalities, and how these aid in identifying patients with metastatic CRC who are responders or non-responders to regorafenib treatment.
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Hazhirkarzar B, Khoshpouri P, Shaghaghi M, Ghasabeh MA, Pawlik TM, Kamel IR. Current state of the art imaging approaches for colorectal liver metastasis. Hepatobiliary Surg Nutr 2020; 9:35-48. [PMID: 32140477 DOI: 10.21037/hbsn.2019.05.11] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
One of the most common cancers worldwide, colorectal cancer (CRC) has been associated with significant morbidity and mortality and therefore represents an enormous burden to the health care system. Recent advances in CRC treatments have provided patients with primary and metastatic CRC a better long-term prognosis. The presence of synchronous or metachronous metastasis has been associated, however, with worse survival. The most common site of metastatic disease is the liver. A variety of treatment modalities aimed at targeting colorectal liver metastases (CRLM) has been demonstrated to improve the prognosis of these patients. Loco-regional approaches such as surgical resection and tumor ablation (operative and percutaneous) can provide patients with a chance at long-term disease control and even cure in select populations. Patient selection is important in defining the most suitable treatment option for CRLM in order to provide the best possible survival benefit while avoiding unnecessary interventions and adverse events. Medical imaging plays a crucial role in evaluating the characteristics of CRLMs and disease resectability. Size of tumors, proximity to adjacent anatomical structures, and volume of the unaffected liver are among the most important imaging parameters to determine the suitability of patients for surgical management or other appropriate treatment approaches. We herein provide a comprehensive overview of current-state-of-the-art imaging in the management of CRLM, including staging, treatment planning, response and survival assessment, and post-treatment surveillance. Computed tomography (CT) scan and magnetic resonance imaging (MRI) are two most commonly used techniques, which can be used solely or in combination with functional imaging modalities such as positron emission tomography (PET) and diffusion weighted imaging (DWI). Providing up-to-date evidence on advantages and disadvantages of imaging modalities and tumor assessment criteria, the current review offers a practice guide to assist providers in choosing the most suitable imaging approach for patients with CRLM.
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Affiliation(s)
- Bita Hazhirkarzar
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Pegah Khoshpouri
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mohammadreza Shaghaghi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mounes Aliyari Ghasabeh
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University, Wexner Medical Center, Columbus, OH, USA
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Ma J, Dercle L, Lichtenstein P, Wang D, Chen A, Zhu J, Piessevaux H, Zhao J, Schwartz LH, Lu L, Zhao B. Automated Identification of Optimal Portal Venous Phase Timing with Convolutional Neural Networks. Acad Radiol 2020; 27:e10-e18. [PMID: 31151901 DOI: 10.1016/j.acra.2019.02.024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2019] [Revised: 02/25/2019] [Accepted: 02/26/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To develop a deep learning-based algorithm to automatically identify optimal portal venous phase timing (PVP-timing) so that image analysis techniques can be accurately performed on post contrast studies. METHODS 681 CT-scans (training: 479 CT-scans; validation: 202 CT-scans) from a multicenter clinical trial in patients with liver metastases from colorectal cancer were retrospectively analyzed for algorithm development and validation. An additional external validation was performed on a cohort of 228 CT-scans from gastroenteropancreatic neuroendocrine cancer patients. Image acquisition was performed according to each centers' standard CT protocol for single portal venous phase, portal venous acquisition. The reference gold standard for the classification of PVP-timing as either optimal or nonoptimal was based on experienced radiologists' consensus opinion. The algorithm performed automated localization (on axial slices) of the portal vein and aorta upon which a novel dual input Convolutional Neural Network calculated a probability of the optimal PVP-timing. RESULTS The algorithm automatically computed a PVP-timing score in 3 seconds and reached area under the curve of 0.837 (95% CI: 0.765, 0.890) in validation set and 0.844 (95% CI: 0.786, 0.889) in external validation set. CONCLUSION A fully automated, deep-learning derived PVP-timing algorithm was developed to classify scans' contrast-enhancement timing and identify scans with optimal PVP-timing. The rapid identification of such scans will aid in the analysis of quantitative (radiomics) features used to characterize tumors and changes in enhancement with treatment in a multitude of settings including quantitative response criteria such as Choi and MASS which rely on reproducible measurement of enhancement.
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Affiliation(s)
- Jingchen Ma
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032
| | - Laurent Dercle
- Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032; Gustave Roussy, Université Paris-Saclay, Université Paris-Saclay, Département D'imagerie Médicale, Villejuif, France
| | - Philip Lichtenstein
- Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032
| | - Deling Wang
- Department of Medical Imaging, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, China
| | - Aiping Chen
- Department of Radiology, First Affiliated Hospital of NanJing Medical University, Nanjing, China
| | - Jianguo Zhu
- Department of Radiology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | | | - Jun Zhao
- School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China
| | - Lawrence H Schwartz
- Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032
| | - Lin Lu
- Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032.
| | - Binsheng Zhao
- Department of Radiology, Columbia University Medical Center, 630 West 168th Street, New York, NY 10032
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Zamboni G, Mazzaro A, Mansueto G. How to Best Image Colorectal Liver Metastases. CURRENT COLORECTAL CANCER REPORTS 2020. [DOI: 10.1007/s11888-019-00447-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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Badia S, Picchia S, Bellini D, Ferrari R, Caruso D, Paolantonio P, Carbone I, Laghi A, Rengo M. The Role of Contrast-Enhanced Imaging for Colorectal Cancer Management. CURRENT COLORECTAL CANCER REPORTS 2019. [DOI: 10.1007/s11888-019-00443-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Granata V, Fusco R, de Lutio di Castelguidone E, Avallone A, Palaia R, Delrio P, Tatangelo F, Botti G, Grassi R, Izzo F, Petrillo A. Diagnostic performance of gadoxetic acid-enhanced liver MRI versus multidetector CT in the assessment of colorectal liver metastases compared to hepatic resection. BMC Gastroenterol 2019; 19:129. [PMID: 31340755 PMCID: PMC6651923 DOI: 10.1186/s12876-019-1036-7] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Accepted: 06/24/2019] [Indexed: 02/07/2023] Open
Abstract
Background Imaging is an essential tool in the management of patients with Colorectal cancer (CRC) by helping evaluate number and sites of metastases, determine resectability, assess response to treatment, detect drug toxicities and recurrences. Although multidetector computed tomography (MDCT) is the first tool used for staging and patient’s surveillance, magnetic resonance imaging (MRI) is the most reliable imaging modality that allows to assess liver metastases. Our purpose is to compare the diagnostic performance of gadoxetic acid-(Gd-EOB) enhanced liver MRI and contrast-enhanced MDCT in the detection of liver metastasis from colorectal cancer (mCRC). Methods One hundred and twenty-eight patients with pathologically proven mCRC (512 liver metastases) underwent Gd-EOB MRI and MDCT imaging. An additional 46 patients without mCRC were included as control subjects. Three radiologists independently graded the presence of liver nodules on a five-point confidence scale. Sensitivity and specificity for the detection of metastases were calculated. Weighted к values were used to evaluate inter-reader agreement of the confidence scale regarding the presence of the lesion. Results MRI detected 489 liver metastases and MDCT 384. In terms of per-lesion sensitivity in the detection of liver metastasis, all three readers had higher diagnostic sensitivity with Gd-EOB MRI than with MDCT (95.5% vs. 72% reader 1; 90% vs. 72% reader 2; 96% vs. 75% reader 3). Each reader showed a statistical significant difference (p < <.001 at Chi square test). MR imaging showed a higher performance than MDCT in per-patient detection sensitivity (100% vs. 74.2% [p < <.001] reader 1, 98% vs. 73% [p < <.001] reader 2, and 100% vs. 78% [p < <.001] reader 3). In the control group, MRI and MDCT showed similar per-patient specificity (100% vs. 98% [p = 0.31] reader 1, 100% vs. 100% [p = 0.92] reader 2, and 100% vs. 96% [p = 0.047] reader 3). Inter-reader agreement of lesion detection between the three radiologists was moderate to excellent (k range, 0.56–0.86) for Gd-EOB MRI and substantial to excellent for MDCT (k range, 0.75–0.8). Conclusion Gadoxetic acid-enhanced MRI performs significantly better in the detection of mCRC, than MDCT, particularly in patients treated with chemotherapy, in subcapsular lesions, and in peribiliary metastases.
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Affiliation(s)
- Vincenza Granata
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberta Fusco
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy.
| | | | - Antonio Avallone
- Gastrointestinal Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Raffaele Palaia
- Hepatobiliary Surgical Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Paolo Delrio
- Colorectal Abdominal Surgery Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Fabiana Tatangelo
- Pathology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Gerardo Botti
- Pathology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Roberto Grassi
- Radiology Division, Università degli Studi della Campania Luigi Vanvitelli, Naples, Italy
| | - Francesco Izzo
- Hepatobiliary Surgical Oncology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
| | - Antonella Petrillo
- Radiology Division, Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli, Naples, Italy
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Dercle L, Lu L, Lichtenstein P, Yang H, Wang D, Zhu J, Wu F, Piessevaux H, Schwartz LH, Zhao B. Impact of Variability in Portal Venous Phase Acquisition Timing in Tumor Density Measurement and Treatment Response Assessment: Metastatic Colorectal Cancer as a Paradigm. JCO Clin Cancer Inform 2019; 1:1-8. [PMID: 30657405 DOI: 10.1200/cci.17.00108] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
PURPOSE New response patterns to anticancer drugs have led tumor size-based response criteria to shift to also include density measurements. Choi criteria, for instance, categorize antiangiogenic therapy response as a decrease in tumor density > 15% at the portal venous phase (PVP). We studied the effect that PVP timing has on measurement of the density of liver metastases (LM) from colorectal cancer (CRC). METHODS Pretreatment PVP computed tomography images from 291 patients with LM-CRC from the CRYSTAL trial (Cetuximab Combined With Irinotecan in First-Line Therapy for Metastatic Colorectal Cancer; ClinicalTrials.gov identifier: NCT00154102) were included. Four radiologists independently scored the scans' timing according to a three-point scoring system: early, optimal, late PVP. Using this, we developed, by machine learning, a proprietary computer-aided quality-control algorithm to grade PVP timing. The reference standard was a computer-refined consensus. For each patient, we contoured target liver lesions and calculated their mean density. RESULTS Contrast-product administration data were not recorded in the digital imaging and communications in medicine headers for injection volume (94%), type (93%), and route (76%). The PVP timing was early, optimal, and late in 52, 194, and 45 patients, respectively. The mean (95% CI) accuracy of the radiologists for detection of optimal PVP timing was 81.7% (78.3 to 85.2) and was outperformed by the 88.6% (84.8 to 92.4) computer accuracy. The mean ± standard deviation of LM-CRC density was 68 ± 15 Hounsfield units (HU) overall and 59.5 ± 14.9 HU, 71.4 ± 14.1 HU, 62.4 ± 12.5 HU at early, optimal, and late PVP timing, respectively. LM-CRC density was thus decreased at nonoptimal PVP timing by 14.8%: 16.7% at early PVP ( P < .001) and 12.6% at late PVP ( P < .001). CONCLUSION Nonoptimal PVP timing should be identified because it significantly decreased tumor density by 14.8%. Our computer-aided quality-control system outperformed the accuracy, reproducibility, and speed of radiologists' visual scoring. PVP-timing scoring could improve the extraction of tumor quantitative imaging biomarkers and the monitoring of anticancer therapy efficacy at the patient and clinical trial levels.
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Affiliation(s)
- Laurent Dercle
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Lin Lu
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Philip Lichtenstein
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Hao Yang
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Deling Wang
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Jianguo Zhu
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Feiyun Wu
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Hubert Piessevaux
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Lawrence H Schwartz
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | - Binsheng Zhao
- Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Jianguo Zhu, Feiyun Wu, Lawrence H. Schwartz, and Binsheng Zhao, Columbia University Medical Center, and Presbyterian Hospital, New York, NY; Laurent Dercle, Gustave Roussy, Université Paris-Saclay, UMR1015, Villejuif, France; Deling Wang, Sun Yat-sen University Cancer Center; Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong; State Key Laboratory of Oncology in South China, Hong Kong, Special Administrative Region, People's Republic of China; and Hubert Piessevaux, Cliniques Universitaires Saint-Luc, Brussels, Belgium
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Focal Liver Uptake on FDG PET/CT Without CT Correlate: Utility of MRI in the Evaluation of Patients With Known Malignancy. AJR Am J Roentgenol 2019; 213:175-181. [DOI: 10.2214/ajr.18.21035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Oyama A, Hiraoka Y, Obayashi I, Saikawa Y, Furui S, Shiraishi K, Kumagai S, Hayashi T, Kotoku J. Hepatic tumor classification using texture and topology analysis of non-contrast-enhanced three-dimensional T1-weighted MR images with a radiomics approach. Sci Rep 2019; 9:8764. [PMID: 31217445 PMCID: PMC6584736 DOI: 10.1038/s41598-019-45283-z] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2018] [Accepted: 06/05/2019] [Indexed: 12/18/2022] Open
Abstract
The purpose of this study is to evaluate the accuracy for classification of hepatic tumors by characterization of T1-weighted magnetic resonance (MR) images using two radiomics approaches with machine learning models: texture analysis and topological data analysis using persistent homology. This study assessed non-contrast-enhanced fat-suppressed three-dimensional (3D) T1-weighted images of 150 hepatic tumors. The lesions included 50 hepatocellular carcinomas (HCCs), 50 metastatic tumors (MTs), and 50 hepatic hemangiomas (HHs) found respectively in 37, 23, and 33 patients. For classification, texture features were calculated, and also persistence images of three types (degree 0, degree 1 and degree 2) were obtained for each lesion from the 3D MR imaging data. We used three classification models. In the classification of HCC and MT (resp. HCC and HH, HH and MT), we obtained accuracy of 92% (resp. 90%, 73%) by texture analysis, and the highest accuracy of 85% (resp. 84%, 74%) when degree 1 (resp. degree 1, degree 2) persistence images were used. Our methods using texture analysis or topological data analysis allow for classification of the three hepatic tumors with considerable accuracy, and thus might be useful when applied for computer-aided diagnosis with MR images.
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Affiliation(s)
- Asuka Oyama
- Graduate School of Medical Care and Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Yasuaki Hiraoka
- Institute for the Advanced Study of Human Biology (ASHBi), Center for Advanced Study, Kyoto University Institute for Advanced Study (KUIAS), Kyoto University, Yoshida, Ushinomiya-cho, Sakyo-ku, Kyoto, 606-8501, Japan.,Center for Advanced Intelligence Project, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Ippei Obayashi
- Center for Advanced Intelligence Project, RIKEN, 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, Japan
| | - Yusuke Saikawa
- Graduate School of Medical Care and Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Shigeru Furui
- Graduate School of Medical Care and Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan.,Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga,, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Kenshiro Shiraishi
- Department of Radiology, Teikyo University School of Medicine, 2-11-1 Kaga,, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Shinobu Kumagai
- Central Radiology Division, Teikyo University Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan
| | - Tatsuya Hayashi
- Graduate School of Medical Care and Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan
| | - Jun'ichi Kotoku
- Graduate School of Medical Care and Technology, Teikyo University, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8605, Japan. .,Central Radiology Division, Teikyo University Hospital, 2-11-1 Kaga, Itabashi-ku, Tokyo, 173-8606, Japan.
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Reginelli A, Vacca G, Zanaletti N, Troiani T, Natella R, Maggialetti N, Palumbo P, Giovagnoni A, Ciardiello F, Cappabianca S. Diagnostic value/performance of radiological liver imaging during chemoterapy for gastrointestinal malignancy: a critical review. ACTA BIO-MEDICA : ATENEI PARMENSIS 2019; 90:51-61. [PMID: 31085973 PMCID: PMC6625573 DOI: 10.23750/abm.v90i5-s.8346] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Indexed: 12/28/2022]
Abstract
This article reviews the main toxic effect, complications and relative imaging findings of the liver that may appear during the oncologic follow up among patients affected by gastrointestinal malignancy. Awareness of the causative chemotherapeutic agent and regimens, pathophysiology and relative characteristic imaging findings of hepatic injuries is critical in order to obtain an accurate diagnosis especially when these parenchymal lesions are focal. An accurate synergic radiological diagnosis with Computed Tomography (CT) and Magnetic Resonance (MR) techniques may induce a potential termination of ineffective/toxic chemotherapy during early phases of treatment, changing the therapeutic plan in order to avoid first unnecessary liver biopsy and then invasive treatment as hepatic resection if not required.
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Affiliation(s)
- Alfonso Reginelli
- Department of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
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Late gadolinium MRI enhancement of colorectal liver metastases is associated with overall survival among nonsurgical patients. Eur Radiol 2019; 29:3901-3907. [PMID: 30937587 DOI: 10.1007/s00330-019-06177-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 02/26/2019] [Accepted: 03/18/2019] [Indexed: 12/22/2022]
Abstract
PURPOSE To determine if late gadolinium MRI enhancement of colorectal liver metastases (CRCLM) is associated with overall survival among nonsurgical patients. MATERIALS AND METHODS This retrospective study was approved by the institutional research ethics board. Late gadolinium enhancement was measured using target tumour enhancement (TTE) in all nonsurgical patients with CRCLM who received a 10-min delayed phase gadobutrol-enhanced liver MRI between March 1, 2006, and August 31, 2014. A total of 122 patients met inclusion/exclusion criteria. Patients were dichotomized into strong and weak TTE. Kaplan-Meier and Cox regression statistics were used to determine whether TTE was associated with overall survival. Noncontributory potential confounding variables (age, sex, number and size of metastases, carcinoembryonic (CEA) level, and presence of extrahepatic disease) were excluded from the final Cox regression model using the backward Wald elimination. Subgroup Kaplan-Meier survival analyses were performed on patients who were chemotherapy-naïve and chemotherapy-treated at the time of MRI. RESULTS Strong TTE had increased survival compared with those with weak TTE on Kaplan-Meier analysis (2-year survival: 69.8% vs. 43.5%, p = 0.002). Among 96 patients where data was available for multivariable analysis, weak TTE was associated with death (adjusted hazard ratio 0.25, 95% CI 0.11-0.59, p = 0.002), after adjusting for CEA level. Other potential confounders were noncontributory. Subgroup analyses demonstrated that strong TTE had increased survival compared with those with weak TTE in both the chemotherapy-naïve (p = 0.047) and chemotherapy-treated (p = 0.008) groups. CONCLUSION Strong late gadolinium MRI enhancement of CRCLM is associated with overall survival among nonsurgical patients. KEY POINTS • MRI enhancement of colorectal liver metastases is associated with overall survival in nonsurgical patients. • MRI enhancement of colorectal liver metastases is associated with overall survival in both chemotherapy-naïve and chemotherapy-treated subgroups.
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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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Vorontsov E, Cerny M, Régnier P, Di Jorio L, Pal CJ, Lapointe R, Vandenbroucke-Menu F, Turcotte S, Kadoury S, Tang A. Deep Learning for Automated Segmentation of Liver Lesions at CT in Patients with Colorectal Cancer Liver Metastases. Radiol Artif Intell 2019; 1:180014. [PMID: 33937787 DOI: 10.1148/ryai.2019180014] [Citation(s) in RCA: 58] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Revised: 01/25/2019] [Accepted: 01/31/2019] [Indexed: 02/06/2023]
Abstract
Purpose To evaluate the performance, agreement, and efficiency of a fully convolutional network (FCN) for liver lesion detection and segmentation at CT examinations in patients with colorectal liver metastases (CLMs). Materials and Methods This retrospective study evaluated an automated method using an FCN that was trained, validated, and tested with 115, 15, and 26 contrast material-enhanced CT examinations containing 261, 22, and 105 lesions, respectively. Manual detection and segmentation by a radiologist was the reference standard. Performance of fully automated and user-corrected segmentations was compared with that of manual segmentations. The interuser agreement and interaction time of manual and user-corrected segmentations were assessed. Analyses included sensitivity and positive predictive value of detection, segmentation accuracy, Cohen κ, Bland-Altman analyses, and analysis of variance. Results In the test cohort, for lesion size smaller than 10 mm (n = 30), 10-20 mm (n = 35), and larger than 20 mm (n = 40), the detection sensitivity of the automated method was 10%, 71%, and 85%; positive predictive value was 25%, 83%, and 94%; Dice similarity coefficient was 0.14, 0.53, and 0.68; maximum symmetric surface distance was 5.2, 6.0, and 10.4 mm; and average symmetric surface distance was 2.7, 1.7, and 2.8 mm, respectively. For manual and user-corrected segmentation, κ values were 0.42 (95% confidence interval: 0.24, 0.63) and 0.52 (95% confidence interval: 0.36, 0.72); normalized interreader agreement for lesion volume was -0.10 ± 0.07 (95% confidence interval) and -0.10 ± 0.08; and mean interaction time was 7.7 minutes ± 2.4 (standard deviation) and 4.8 minutes ± 2.1 (P < .001), respectively. Conclusion Automated detection and segmentation of CLM by using deep learning with convolutional neural networks, when manually corrected, improved efficiency but did not substantially change agreement on volumetric measurements.© RSNA, 2019Supplemental material is available for this article.
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Affiliation(s)
- Eugene Vorontsov
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Milena Cerny
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Philippe Régnier
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Lisa Di Jorio
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Christopher J Pal
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Réal Lapointe
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Franck Vandenbroucke-Menu
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Simon Turcotte
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - Samuel Kadoury
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
| | - An Tang
- Department of Radiology (M.C., A.T.) and Department of Surgery, Hepatopancreatobiliary and Liver Transplantation Division (R.L., F.V., S.T.), Centre Hospitalier de l'Université de Montréal (CHUM), 1000 rue Saint-Denis, Montréal, QC, Canada H2X 0C2; Montreal Institute for Learning Algorithms (MILA), Montréal, Canada (E.V., C.J.P.); École Polytechnique, Montréal, Canada (E.V., C.J.P., S.K.); Centre de Recherche du Centre Hospitalier de l'Université de Montréal (CRCHUM), Montréal, Canada (M.C., P.R., S.T., S.K., A.T.); and Imagia Cybernetics, Montréal, Canada (L.D.J.)
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Fukuno S, Nagai K, Fujiike M, Sasaki Y, Konishi H. Conflicting alterations in hepatic expression of CYP3A and enzyme kinetics in rats exposed to 5-fluorouracil: relevance to pharmacokinetics of midazolam. Xenobiotica 2019; 49:1470-1477. [PMID: 30714842 DOI: 10.1080/00498254.2019.1578004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
1. 5-Fluorouracil (5-FU) is a pyrimidine derivative widely used for the treatment of cancer. In this study, we investigated the effects of 5-FU on the protein expression of hepatic CYP3A and their enzyme activity for metabolizing midazolam (MDZ), a typical substrate of CYP3A, in rat liver microsomes. We also examined the pharmacokinetic behavior of intravenously administered MDZ in rats treated with 5-FU (120 mg/kg, ip). 2. 5-FU was shown to induce hepatic CYP3A2 protein 2 days after administration without changing the expression of CYP3A1/3A23. However, affinity of 5-FU-inducible CYP3A protein to MDZ for its 4- and 1'-hydroxylation was decreased. Furthermore, the susceptibility of MDZ hydroxylation activity to a CYP3A inhibitor differed between the control and 5-FU groups. 3. Pharmacokinetic analysis of the MDZ disposition demonstrated no significant differences in the total clearance (CLtot) and elimination rate constant (ke) between the control and 5-FU-treated rats. Lack of alteration in the metabolic clearance of MDZ may be attributable to the induction of CYP3A protein with reduced affinity for the substrate of CYP3A enzymes. 4. Our findings provide novel information regarding the manifestation of inductive and interfering actions of 5-FU toward hepatic CYP3A to help in assessing the pharmacokinetics of CYP3A substrate drugs.
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Affiliation(s)
- Shuhei Fukuno
- Laboratory of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Osaka Ohtani University , Tondabayashi , Japan
| | - Katsuhito Nagai
- Laboratory of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Osaka Ohtani University , Tondabayashi , Japan
| | - Mai Fujiike
- Laboratory of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Osaka Ohtani University , Tondabayashi , Japan
| | - Yuya Sasaki
- Laboratory of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Osaka Ohtani University , Tondabayashi , Japan
| | - Hiroki Konishi
- Laboratory of Clinical Pharmacy and Therapeutics, Faculty of Pharmacy, Osaka Ohtani University , Tondabayashi , Japan
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Granata V, Fusco R, Avallone A, Catalano O, Piccirillo M, Palaia R, Nasti G, Petrillo A, Izzo F. A radiologist's point of view in the presurgical and intraoperative setting of colorectal liver metastases. Future Oncol 2018; 14:2189-2206. [PMID: 30084273 DOI: 10.2217/fon-2018-0080] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Multidisciplinary management of patients with metastatic colorectal cancer requires in each phase an adequate choice of the most appropriate imaging modality. The first challenging step is liver lesions detection and characterization, using several imaging modality ultrasound, computed tomography, magnetic resonance and positron emission tomography. The criteria to establish the metastases resectability have been modified. Not only the lesions number and site but also the functional volume remnant after surgery and the quality of the nontumoral liver must be taken into account. Radiologists should identify the liver functional volume remnant and during liver surgical procedures should collaborate with the surgeon to identify all lesions, including those that disappeared after the therapy, using intraoperative ultrasound with or without contrast medium.
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Affiliation(s)
- Vincenza Granata
- Radiology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Roberta Fusco
- Radiology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Antonio Avallone
- Abdominal Oncology Division, Istitutonazionale Tumori - IRCSS - Fondazione G Pascale, Napoli, Italia
| | - Orlando Catalano
- Radiology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Mauro Piccirillo
- Hepatobiliary Surgical Oncology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Raffaele Palaia
- Hepatobiliary Surgical Oncology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Guglielmo Nasti
- Abdominal Oncology Division, Istitutonazionale Tumori - IRCSS - Fondazione G Pascale, Napoli, Italia
| | - Antonella Petrillo
- Radiology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
| | - Francesco Izzo
- Hepatobiliary Surgical Oncology Division, Istitutonazionale Tumori - IRCCS - Fondazione G Pascale, Napoli, Italia
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Mora RA, Ali R, Gabr A, Abouchaleh N, Asadi AA, Kallini JR, Miller FH, Yaghmai V, Mouli S, Thornburg B, Desai K, Riaz A, Lewandowski RJ, Salem R. Pictorial essay: imaging findings following Y90 radiation segmentectomy for hepatocellular carcinoma. Abdom Radiol (NY) 2018; 43:1723-1738. [PMID: 29147766 DOI: 10.1007/s00261-017-1391-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Transarterial radioembolization is a novel therapy that has gained rapid clinical acceptance for the treatment of hepatocellular carcinoma (HCC). Segmental radioembolization [also termed radiation segmentectomy (RS)] is a technique that can deliver high doses (> 190 Gy) of radiation selectively to the hepatic segment(s) containing the tumor. The aim of this comprehensive review is to provide an illustrative summary of the most relevant imaging findings encountered after radiation segmentectomy. A 62-patient cohort of Child-Pugh A patients with solitary HCC < 5 cm in size was identified. A comprehensive retrospective imaging review was done by interventional radiology staff at our institution. Important imaging findings were reported and illustrated in a descriptive account. For the purposes of completeness, specific patients outside our initial cohort with unique educational imaging features that also underwent segmentectomy were included in this pictorial essay. This review shows that response assessment after RS requires a learning curve with common drawbacks that can lead to false-positive interpretations and secondary unnecessary treatments. It is important to recognize that treatment responses and pathological changes both are time dependent. Findings such as benign geographical enhancement and initial benign pathological enhancement can easily be misinterpreted. Capsular retraction and segmental atrophy are some other examples of unique post-RS response that are not seen in any other treatment.
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Affiliation(s)
- Ronald A Mora
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Rehan Ali
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Ahmed Gabr
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Nadine Abouchaleh
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Ali Al Asadi
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Joseph Ralph Kallini
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Frank H Miller
- Department of Radiology, Section of Body Imaging, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, USA
| | - Vahid Yaghmai
- Department of Radiology, Section of Body Imaging, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, Chicago, IL, USA
| | - Samdeep Mouli
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Bartley Thornburg
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Kush Desai
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Ahsun Riaz
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
| | - Robert J Lewandowski
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA
- Department of Surgery, Division of Transplantation, Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA
- Department of Medicine, Division of Hematology and Oncology, Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
| | - Riad Salem
- Department of Radiology, Section of Interventional Radiology, Northwestern Memorial Hospital, Robert H. Lurie Comprehensive Cancer Center, 676 N. St. Clair, Suite 800, Chicago, IL, 60611, USA.
- Department of Surgery, Division of Transplantation, Comprehensive Transplant Center, Northwestern University, Chicago, IL, USA.
- Department of Medicine, Division of Hematology and Oncology, Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA.
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Pellino G, Gallo G, Pallante P, Capasso R, De Stefano A, Maretto I, Malapelle U, Qiu S, Nikolaou S, Barina A, Clerico G, Reginelli A, Giuliani A, Sciaudone G, Kontovounisios C, Brunese L, Trompetto M, Selvaggi F. Noninvasive Biomarkers of Colorectal Cancer: Role in Diagnosis and Personalised Treatment Perspectives. Gastroenterol Res Pract 2018; 2018:2397863. [PMID: 30008744 PMCID: PMC6020538 DOI: 10.1155/2018/2397863] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 04/03/2018] [Accepted: 04/15/2018] [Indexed: 02/08/2023] Open
Abstract
Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. It has been estimated that more than one-third of patients are diagnosed when CRC has already spread to the lymph nodes. One out of five patients is diagnosed with metastatic CRC. The stage of diagnosis influences treatment outcome and survival. Notwithstanding the recent advances in multidisciplinary management and treatment of CRC, patients are still reluctant to undergo screening tests because of the associated invasiveness and discomfort (e.g., colonoscopy with biopsies). Moreover, the serological markers currently used for diagnosis are not reliable and, even if they were useful to detect disease recurrence after treatment, they are not always detected in patients with CRC (e.g., CEA). Recently, translational research in CRC has produced a wide spectrum of potential biomarkers that could be useful for diagnosis, treatment, and follow-up of these patients. The aim of this review is to provide an overview of the newer noninvasive or minimally invasive biomarkers of CRC. Here, we discuss imaging and biomolecular diagnostics ranging from their potential usefulness to obtain early and less-invasive diagnosis to their potential implementation in the development of a bespoke treatment of CRC.
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Affiliation(s)
- Gianluca Pellino
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
- Colorectal Surgery Unit, Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Gaetano Gallo
- Department of Medical and Surgical Sciences, OU of General Surgery, University of Catanzaro, Catanzaro, Italy
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Pierlorenzo Pallante
- Institute of Experimental Endocrinology and Oncology (IEOS), National Research Council (CNR), Via S. Pansini 5, Naples, Italy
| | - Raffaella Capasso
- Department of Medicine and Health Sciences, University of Molise, Via Francesco de Sanctis 1, 86100 Campobasso, Italy
| | - Alfonso De Stefano
- Department of Abdominal Oncology, Division of Abdominal Medical Oncology, Istituto Nazionale per lo Studio e la Cura dei Tumori, “Fondazione G. Pascale, ” IRCCS, Naples, Italy
| | - Isacco Maretto
- 1st Surgical Clinic, Department of Surgical, Oncological, and Gastroenterological Sciences, University of Padua, Padua, Italy
| | - Umberto Malapelle
- Dipartimento di Sanità Pubblica, Università degli Studi di Napoli Federico II, Naples, Italy
| | - Shengyang Qiu
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
| | - Stella Nikolaou
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
| | - Andrea Barina
- 1st Surgical Clinic, Department of Surgical, Oncological, and Gastroenterological Sciences, University of Padua, Padua, Italy
| | - Giuseppe Clerico
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Alfonso Reginelli
- Department of Internal and Experimental Medicine, Magrassi-Lanzara, Institute of Radiology, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
| | - Antonio Giuliani
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Campobasso, Italy
| | - Guido Sciaudone
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
| | - Christos Kontovounisios
- Department of Colorectal Surgery, Royal Marsden Hospital, London, UK
- Department of Surgery and Cancer, Chelsea and Westminster Hospital Campus, Imperial College London, London, UK
| | - Luca Brunese
- Department of Medicine and Health Sciences, University of Molise, Via Francesco de Sanctis 1, 86100 Campobasso, Italy
| | - Mario Trompetto
- Department of Colorectal Surgery, Clinic S. Rita, Vercelli, Italy
| | - Francesco Selvaggi
- Unit of General Surgery, Department of Medical, Surgical, Neurological, Metabolic and Ageing Sciences, Università degli Studi della Campania “Luigi Vanvitelli”, Piazza Miraglia 2, 80138 Naples, Italy
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Ghobrial FEI, Eldin MS, Razek AAKA, Atwan NI, Shamaa SSA. Computed Tomography Assessment of Hepatic Metastases of Breast Cancer with Revised Response Evaluation Criteria in Solid Tumors (RECIST) Criteria (Version 1.1): Inter-Observer Agreement. Pol J Radiol 2017; 82:593-597. [PMID: 29657622 PMCID: PMC5894063 DOI: 10.12659/pjr.902930] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 01/24/2017] [Indexed: 12/29/2022] Open
Abstract
Background To assess inter-observer agreement of revised RECIST criteria (version 1.1) for computed tomography assessment of hepatic metastases of breast cancer. Material/Methods A prospective study was conducted in 28 female patients with breast cancer and with at least one measurable metastatic lesion in the liver that was treated with 3 cycles of anthracycline-based chemotherapy. All patients underwent computed tomography of the abdomen with 64-row multi- detector CT at baseline and after 3 cycles of chemotherapy for response assessment. Image analysis was performed by 2 observers, based on the RECIST criteria (version 1.1). Results Computed tomography revealed partial response of hepatic metastases in 7 patients (25%) by one observer and in 10 patients (35.7%) by the other observer, with good inter-observer agreement (k=0.75, percent agreement of 89.29%). Stable disease was detected in 19 patients (67.8%) by one observer and in 16 patients (57.1%) by the other observer, with good agreement (k=0.774, percent agreement of 89.29%). Progressive disease was detected in 2 patients (7.2%) by both observers, with perfect agreement (k=1, percent agreement of 100%). The overall inter-observer agreement in the CT-based response assessment of hepatic metastasis between the two observers was good (k=0.793, percent agreement of 89.29%). Conclusions We concluded that computed tomography is a reliable and reproducible imaging modality for response assessment of hepatic metastases of breast cancer according to the RECIST criteria (version 1.1).
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Affiliation(s)
- Fady Emil Ibrahim Ghobrial
- Department of Internal Medicine (Medical Oncology), Faculty of Medicine, Oncology Center Mansoura University, Mansoura, Egypt
| | - Manal Salah Eldin
- Department of Internal Medicine (Medical Oncology), Faculty of Medicine, Oncology Center Mansoura University, Mansoura, Egypt
| | | | - Nadia Ibrahim Atwan
- Department of Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - Sameh Sayed Ahmed Shamaa
- Department of Internal Medicine (Medical Oncology), Faculty of Medicine, Oncology Center Mansoura University, Mansoura, Egypt
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