Literature DB >> 22997372

Response evaluation in patients with colorectal liver metastases: RECIST version 1.1 versus modified CT criteria.

Woo-Suk Chung1, Mi-Suk Park, Sang Joon Shin, Song-Ee Baek, Yeo-Eun Kim, Jin Young Choi, Myeong-Jin Kim.   

Abstract

OBJECTIVE: Our retrospective study compared Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 with modified CT criteria to determine their respective utilities as a prognostic indicator. Using both sets of criteria, we compared treatment responses of patients with colorectal liver metastases treated with bevacizumab-containing chemotherapy with those of patients treated with chemotherapy alone.
MATERIALS AND METHODS: Fifty-nine patients who received bevacizumab-containing chemotherapy (n=30, group 1) or chemotherapy alone (n=29, group 2) for the treatment of colorectal carcinoma underwent contrast-enhanced CT before treatment and 2 months after treatment. Two radiologists determined changes in tumor size and density between the pretreatment and 2-month follow-up CT images. RECIST 1.1 assesses responses on the basis of changes in tumor size, and the modified CT criteria assesses responses on the basis of changes in tumor density and size. Responses were correlated with time to tumor progression by log rank test.
RESULTS: According to RECIST 1.1, nine of 30 patients (30%) in group 1 and 12 of 29 patients (41%) in group 2 were good responders. According to the modified CT criteria, 23 of 30 patients in group 1 (77%) and 23 of 29 patients in group 2 (79%) were good responders. As assessed by the modified CT criteria, good responders in both groups had significantly longer time to tumor progression than poor responders (p<0.05). As assessed by RECIST 1.1, good responders in group 1 had significantly longer time to tumor progression than poor responders (p=0.0154), but there was no difference in group 2.
CONCLUSION: Evaluating treatment response with tumor size and density changes on CT was a better predictor of time to tumor progression than changes in tumor size alone in both groups.

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Year:  2012        PMID: 22997372     DOI: 10.2214/AJR.11.7910

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  21 in total

1.  The Attenuation Distribution Across the Long Axis (ADLA): Preliminary Findings for Assessing Response to Cancer Treatment.

Authors:  Nikita Lakomkin; Hakmook Kang; Bennett Landman; M Shane Hutson; Richard G Abramson
Journal:  Acad Radiol       Date:  2016-04-01       Impact factor: 3.173

2.  Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy.

Authors:  Marco Ravanelli; Giorgio Maria Agazzi; Elena Tononcelli; Elisa Roca; Paolo Cabassa; Gianluca Baiocchi; Alfredo Berruti; Roberto Maroldi; Davide Farina
Journal:  Radiol Med       Date:  2019-06-06       Impact factor: 3.469

3.  CT texture analysis in colorectal liver metastases: A better way than size and volume measurements to assess response to chemotherapy?

Authors:  Sheng-Xiang Rao; Doenja Mj Lambregts; Roald S Schnerr; Rianne Cj Beckers; Monique Maas; Fabrizio Albarello; Robert G Riedl; Cornelis Hc Dejong; Milou H Martens; Luc A Heijnen; Walter H Backes; Geerard L Beets; Meng-Su Zeng; Regina Gh Beets-Tan
Journal:  United European Gastroenterol J       Date:  2015-08-21       Impact factor: 4.623

Review 4.  Update on the role of imaging in management of metastatic colorectal cancer.

Authors:  Sree Harsha Tirumani; Kyung Won Kim; Mizuki Nishino; Stephanie A Howard; Katherine M Krajewski; Jyothi P Jagannathan; James M Cleary; Nikhil H Ramaiya; Atul B Shinagare
Journal:  Radiographics       Date:  2014 Nov-Dec       Impact factor: 5.333

5.  Metastatic melanoma: lactate dehydrogenase levels and CT imaging findings of tumor devascularization allow accurate prediction of survival in patients treated with bevacizumab.

Authors:  Mark R Gray; Sara Martin del Campo; Xu Zhang; Haowei Zhang; Frederico F Souza; William E Carson; Andrew D Smith
Journal:  Radiology       Date:  2013-10-28       Impact factor: 11.105

6.  Three-dimensional Dynamic Contrast-enhanced US Imaging for Early Antiangiogenic Treatment Assessment in a Mouse Colon Cancer Model.

Authors:  Huaijun Wang; Dimitre Hristov; Jiale Qin; Lu Tian; Jürgen K Willmann
Journal:  Radiology       Date:  2015-05-22       Impact factor: 11.105

Review 7.  Imaging of Colorectal Liver Metastasis.

Authors:  Azarakhsh Baghdadi; Sahar Mirpour; Maryam Ghadimi; Mina Motaghi; Bita Hazhirkarzar; Timothy M Pawlik; Ihab R Kamel
Journal:  J Gastrointest Surg       Date:  2021-10-18       Impact factor: 3.452

Review 8.  Molecular markers of prognosis and therapeutic targets in metastatic colorectal cancer.

Authors:  Sean M Ronnekleiv-Kelly; Richard A Burkhart; Timothy M Pawlik
Journal:  Surg Oncol       Date:  2016-05-20       Impact factor: 3.279

Review 9.  Non-invasive diagnostic imaging of colorectal liver metastases.

Authors:  Pier Paolo Mainenti; Federica Romano; Laura Pizzuti; Sabrina Segreto; Giovanni Storto; Lorenzo Mannelli; Massimo Imbriaco; Luigi Camera; Simone Maurea
Journal:  World J Radiol       Date:  2015-07-28

10.  Surrogate Imaging Biomarkers of Response of Colorectal Liver Metastases After Salvage Radioembolization Using 90Y-Loaded Resin Microspheres.

Authors:  Waleed Shady; Vlasios S Sotirchos; Richard K Do; Neeta Pandit-Taskar; Jorge A Carrasquillo; Mithat Gonen; Constantinos T Sofocleous
Journal:  AJR Am J Roentgenol       Date:  2016-07-06       Impact factor: 3.959

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