Literature DB >> 33988475

A Primer on RECIST 1.1 for Oncologic Imaging in Clinical Drug Trials.

Kathleen Ruchalski1, Marta Braschi-Amirfarzan1, Michael Douek1, Victor Sai1, Antonio Gutierrez1, Rohit Dewan1, Jonathan Goldin1.   

Abstract

Drug discovery and approval in oncology is mediated by the use of imaging to evaluate drug efficacy in clinical trials. Imaging is performed while patients receive therapy to evaluate their response to treatment. Response criteria, specifically Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1), are standardized and can be used at different time points to classify response into the categories of complete response, partial response, stable disease, or disease progression. At the trial level, categorical responses for all patients are summated into image-based trial endpoints. These outcome measures, including objective response rate (ORR) and progression-free survival (PFS), are characteristics that can be derived from imaging and can be used as surrogates for overall survival (OS). Similar to OS, ORR and PFS describe the efficacy of a drug. U.S. Food and Drug Administration (FDA) regulatory approval requires therapies to demonstrate direct evidence of clinical benefit, such as improved OS. However, multiple programs have been created to expedite drug approval for life-threatening illnesses, including advanced cancer. ORR and PFS have been accepted by the FDA as adequate predictors of OS on which to base drug approval decisions, thus substantially shortening the time and cost of drug development (1). Use of imaging surrogate markers for drug approval has become increasingly common, accounting for more than 90% of approvals through the Accelerated Approval Program and allowing for use of many therapies which have altered the course of cancer. Keywords: Oncology, Tumor Response  RSNA, 2021.

Entities:  

Keywords:  Oncology; Tumor Response

Year:  2021        PMID: 33988475      PMCID: PMC8183261          DOI: 10.1148/rycan.2021210008

Source DB:  PubMed          Journal:  Radiol Imaging Cancer        ISSN: 2638-616X


  35 in total

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Authors: 
Journal:  Clin Pharmacol Ther       Date:  2001-03       Impact factor: 6.875

2.  Progression-free survival: meaningful or simply measurable?

Authors:  Christopher M Booth; Elizabeth A Eisenhauer
Journal:  J Clin Oncol       Date:  2012-02-27       Impact factor: 44.544

Review 3.  Accelerated approval of oncology products: the food and drug administration experience.

Authors:  John R Johnson; Yang-Min Ning; Ann Farrell; Robert Justice; Patricia Keegan; Richard Pazdur
Journal:  J Natl Cancer Inst       Date:  2011-03-21       Impact factor: 13.506

4.  Radiology workflow for RECIST assessment in clinical trials: Can we reconcile time-efficiency and quality?

Authors:  Hubert Beaumont; Anne Sophie Bertrand; Catherine Klifa; Sebastien Patriti; Sabine Cippolini; Christine Lovera; Antoine Iannessi
Journal:  Eur J Radiol       Date:  2019-07-26       Impact factor: 3.528

5.  Evaluating Continuous Tumor Measurement-Based Metrics as Phase II Endpoints for Predicting Overall Survival.

Authors:  Ming-Wen An; Xinxin Dong; Jeffrey Meyers; Yu Han; Axel Grothey; Jan Bogaerts; Daniel J Sargent; Sumithra J Mandrekar
Journal:  J Natl Cancer Inst       Date:  2015-08-21       Impact factor: 13.506

6.  Relation between tumour response to first-line chemotherapy and survival in advanced colorectal cancer: a meta-analysis. Meta-Analysis Group in Cancer.

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Journal:  Lancet       Date:  2000-07-29       Impact factor: 79.321

7.  Response to chemotherapy has predictive value for further survival of patients with advanced non-small cell lung cancer: 10 years experience of the European Lung Cancer Working Party.

Authors:  M Paesmans; J P Sculier; P Libert; G Bureau; G Dabouis; J Thiriaux; J Michel; O Van Cutsem; R Sergysels; P Mommen; J Klastersky
Journal:  Eur J Cancer       Date:  1997-12       Impact factor: 9.162

Review 8.  Ultimate fate of oncology drugs approved by the us food and drug administration without a randomized Trial.

Authors:  Apostolia-Maria Tsimberidou; Fadi Braiteh; David J Stewart; Razelle Kurzrock
Journal:  J Clin Oncol       Date:  2009-10-13       Impact factor: 44.544

Review 9.  Endpoints for assessing drug activity in clinical trials.

Authors:  Richard Pazdur
Journal:  Oncologist       Date:  2008

10.  Discrepancies of assessments in a RECIST 1.1 phase II clinical trial - association between adjudication rate and variability in images and tumors selection.

Authors:  Hubert Beaumont; Tracey L Evans; Catherine Klifa; Ali Guermazi; Sae Rom Hong; Mustapha Chadjaa; Zsuzsanna Monostori
Journal:  Cancer Imaging       Date:  2018-12-11       Impact factor: 3.909

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  2 in total

1.  Twenty Years On: RECIST as a Biomarker of Response in Solid Tumours an EORTC Imaging Group - ESOI Joint Paper.

Authors:  Laure Fournier; Lioe-Fee de Geus-Oei; Daniele Regge; Daniela-Elena Oprea-Lager; Melvin D'Anastasi; Luc Bidaut; Tobias Bäuerle; Egesta Lopci; Giovanni Cappello; Frederic Lecouvet; Marius Mayerhoefer; Wolfgang G Kunz; Joost J C Verhoeff; Damiano Caruso; Marion Smits; Ralf-Thorsten Hoffmann; Sofia Gourtsoyianni; Regina Beets-Tan; Emanuele Neri; Nandita M deSouza; Christophe M Deroose; Caroline Caramella
Journal:  Front Oncol       Date:  2022-01-10       Impact factor: 6.244

Review 2.  Teaching cancer imaging in the era of precision medicine: Looking at the big picture.

Authors:  Christopher N Chin; Ty Subhawong; James Grosso; Jeremy R Wortman; Lacey J McIntosh; Ryan Tai; Marta Braschi-Amirfarzan; Patricia Castillo; Francesco Alessandrino
Journal:  Eur J Radiol Open       Date:  2022-03-15
  2 in total

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