Literature DB >> 25794800

Pitfalls in RECIST Data Extraction for Clinical Trials: Beyond the Basics.

Richard G Abramson1, Carrie R McGhee2, Nikita Lakomkin2, Carlos L Arteaga3.   

Abstract

Response Evaluation Criteria in Solid Tumors (RECIST) is a standardized methodology for determining therapeutic response to anticancer therapy using changes in lesion appearance on imaging studies. Many radiologists are now using RECIST in their routine clinical workflow, as part of consultative arrangements, or within dedicated imaging core laboratories. Although basic RECIST methodology is well described in published articles and online resources, inexperienced readers may encounter difficulties with certain nuances and subtleties of RECIST. This article illustrates a set of pitfalls in RECIST assessment considered to be "beyond the basics." These pitfalls were uncovered during a quality improvement review of a recently established cancer imaging core laboratory staffed by radiologists with limited prior RECIST experience. Pitfalls are presented in four categories: (1) baseline selection of lesions, (2) reassessment of target lesions, (3) reassessment of nontarget lesions, and (4) identification of new lesions. Educational and operational strategies for addressing these pitfalls are suggested. Attention to these pitfalls and strategies may improve the overall quality of RECIST assessments performed by radiologists.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Oncology; RECIST; antitumor efficacy; solid malignancies; tumor response assessment

Mesh:

Year:  2015        PMID: 25794800      PMCID: PMC4429002          DOI: 10.1016/j.acra.2015.01.015

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  17 in total

1.  Revised RECIST guideline version 1.1: What oncologists want to know and what radiologists need to know.

Authors:  Mizuki Nishino; Jyothi P Jagannathan; Nikhil H Ramaiya; Annick D Van den Abbeele
Journal:  AJR Am J Roentgenol       Date:  2010-08       Impact factor: 3.959

2.  New Response Evaluation Criteria in Solid Tumors (RECIST) guidelines for advanced non-small cell lung cancer: comparison with original RECIST and impact on assessment of tumor response to targeted therapy.

Authors:  Mizuki Nishino; David M Jackman; Hiroto Hatabu; Beow Y Yeap; Leigh-Anne Cioffredi; Jeffrey T Yap; Pasi A Jänne; Bruce E Johnson; Annick D Van den Abbeele
Journal:  AJR Am J Roentgenol       Date:  2010-09       Impact factor: 3.959

Review 3.  Blinded independent central review of progression-free survival in phase III clinical trials: important design element or unnecessary expense?

Authors:  Lori E Dodd; Edward L Korn; Boris Freidlin; C Carl Jaffe; Lawrence V Rubinstein; Janet Dancey; Margaret M Mooney
Journal:  J Clin Oncol       Date:  2008-08-01       Impact factor: 44.544

4.  Improving accuracy in reporting CT scans of oncology patients: assessing the effect of education and feedback interventions on the application of the Response Evaluation Criteria in Solid Tumors (RECIST) criteria.

Authors:  Henry Andoh; Nancy J McNulty; Petra J Lewis
Journal:  Acad Radiol       Date:  2013-03       Impact factor: 3.173

5.  Informatics in radiology: improving clinical work flow through an AIM database: a sample web-based lesion tracking application.

Authors:  Aaron C Abajian; Mia Levy; Daniel L Rubin
Journal:  Radiographics       Date:  2012-06-27       Impact factor: 5.333

6.  Quantitative imaging in oncology patients: Part 1, radiology practice patterns at major U.S. cancer centers.

Authors:  Tracy A Jaffe; Nicholas W Wickersham; Daniel C Sullivan
Journal:  AJR Am J Roentgenol       Date:  2010-07       Impact factor: 3.959

7.  Correlation of computed tomography and positron emission tomography in patients with metastatic gastrointestinal stromal tumor treated at a single institution with imatinib mesylate: proposal of new computed tomography response criteria.

Authors:  Haesun Choi; Chuslip Charnsangavej; Silvana C Faria; Homer A Macapinlac; Michael A Burgess; Shreyaskumar R Patel; Lei L Chen; Donald A Podoloff; Robert S Benjamin
Journal:  J Clin Oncol       Date:  2007-05-01       Impact factor: 44.544

Review 8.  Radiologic measurements of tumor response to treatment: practical approaches and limitations.

Authors:  Chikako Suzuki; Hans Jacobsson; Thomas Hatschek; Michael R Torkzad; Katarina Bodén; Yvonne Eriksson-Alm; Elisabeth Berg; Hirofumi Fujii; Atsushi Kubo; Lennart Blomqvist
Journal:  Radiographics       Date:  2008 Mar-Apr       Impact factor: 5.333

9.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

10.  Modified RECIST criteria for assessment of response in malignant pleural mesothelioma.

Authors:  M J Byrne; A K Nowak
Journal:  Ann Oncol       Date:  2004-02       Impact factor: 32.976

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  12 in total

1.  Quantitation of Cancer Treatment Response by 18F-FDG PET/CT: Multicenter Assessment of Measurement Variability.

Authors:  Joo Hyun O; Heather Jacene; Brandon Luber; Hao Wang; Minh-Huy Huynh; Jeffrey P Leal; Richard L Wahl
Journal:  J Nucl Med       Date:  2017-03-30       Impact factor: 10.057

Review 2.  Radiologists and Clinical Trials: Part 2: Practical Statistical Methods for Understanding and Monitoring Independent Reader Performance.

Authors:  David L Raunig; Annette M Schmid; Colin G Miller; Richard C Walovitch; Michael O'Connor; Klaus Noever; Ivalina Hristova; Michael O'Neal; Guenther Brueggenwerth; Robert R Ford
Journal:  Ther Innov Regul Sci       Date:  2021-07-09       Impact factor: 1.778

3.  Tumor response assessment: comparison between unstructured free text reporting in routine clinical workflow and computer-aided evaluation based on RECIST 1.1 criteria.

Authors:  Juliane Goebel; Julia Hoischen; Carolin Gramsch; Haemi P Schemuth; Andreas-Claudius Hoffmann; Lale Umutlu; Kai Nassenstein
Journal:  J Cancer Res Clin Oncol       Date:  2017-08-19       Impact factor: 4.553

4.  Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

Authors:  Gopichandh Danala; Theresa Thai; Camille C Gunderson; Katherine M Moxley; Kathleen Moore; Robert S Mannel; Hong Liu; Bin Zheng; Yuchen Qiu
Journal:  Acad Radiol       Date:  2017-05-26       Impact factor: 3.173

Review 5.  MR Imaging Biomarkers in Oncology Clinical Trials.

Authors:  Richard G Abramson; Lori R Arlinghaus; Adrienne N Dula; C Chad Quarles; Ashley M Stokes; Jared A Weis; Jennifer G Whisenant; Eduard Y Chekmenev; Igor Zhukov; Jason M Williams; Thomas E Yankeelov
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

Review 6.  Imaging for Response Assessment in Cancer Clinical Trials.

Authors:  Anna G Sorace; Asser A Elkassem; Samuel J Galgano; Suzanne E Lapi; Benjamin M Larimer; Savannah C Partridge; C Chad Quarles; Kirsten Reeves; Tiara S Napier; Patrick N Song; Thomas E Yankeelov; Stefanie Woodard; Andrew D Smith
Journal:  Semin Nucl Med       Date:  2020-06-10       Impact factor: 4.446

Review 7.  What scans we will read: imaging instrumentation trends in clinical oncology.

Authors:  Thomas Beyer; Luc Bidaut; John Dickson; Marc Kachelriess; Fabian Kiessling; Rainer Leitgeb; Jingfei Ma; Lalith Kumar Shiyam Sundar; Benjamin Theek; Osama Mawlawi
Journal:  Cancer Imaging       Date:  2020-06-09       Impact factor: 3.909

8.  Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker.

Authors:  Abolfazl Zargari; Yue Du; Morteza Heidari; Theresa C Thai; Camille C Gunderson; Kathleen Moore; Robert S Mannel; Hong Liu; Bin Zheng; Yuchen Qiu
Journal:  Phys Med Biol       Date:  2018-08-06       Impact factor: 3.609

9.  Mixed Response to Immunotherapy in Patients with Metastatic Melanoma.

Authors:  Daan Jan Willem Rauwerdink; George Molina; Dennie Tompers Frederick; Tanya Sharova; Jos van der Hage; Sonia Cohen; Genevieve Marie Boland
Journal:  Ann Surg Oncol       Date:  2020-05-29       Impact factor: 5.344

10.  Developing global image feature analysis models to predict cancer risk and prognosis.

Authors:  Bin Zheng; Yuchen Qiu; Faranak Aghaei; Seyedehnafiseh Mirniaharikandehei; Morteza Heidari; Gopichandh Danala
Journal:  Vis Comput Ind Biomed Art       Date:  2019-11-19
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