实体瘤疗效评价标准
医学
临床试验
医学物理学
临床终点
成像生物标志物
生物标志物
放射科
临床研究阶段
内科学
磁共振成像
生物化学
化学
作者
Lawrence H. Schwartz,Lesley Seymour,Saskia Litière,Robert Ford,Stephen J. Gwyther,Sumithra J. Mandrekar,Lalitha Shankar,Jan Bogaerts,Alice Chen,Janet Dancey,Wendy Hayes,F. Stephen Hodi,Otto S. Hoekstra,Erich P. Huang,Nancy U. Lin,Yan Liu,P. Therasse,Jedd D. Wolchok,Elisabeth G.E. de Vries
标识
DOI:10.1016/j.ejca.2016.03.082
摘要
Radiologic imaging of disease sites plays a pivotal role in the management of patients with cancer. Response Evaluation Criteria in Solid Tumours (RECIST), introduced in 2000, and modified in 2009, has become the de facto standard for assessment of response in solid tumours in patients on clinical trials. The RECIST Working Group considers the ability of the global oncology community to implement and adopt updates to RECIST in a timely manner to be critical. Updates to RECIST must be tested, validated and implemented in a standardised, methodical manner in response to therapeutic and imaging technology advances as well as experience gained by users. This was the case with the development of RECIST 1.1, where an expanded data warehouse was developed to test and validate modifications. Similar initiatives are ongoing, testing RECIST in the evaluation of response to non-cytotoxic agents, immunotherapies, as well as in specific diseases. The RECIST Working Group has previously outlined the level of evidence considered necessary to formally and fully validate new imaging markers as an appropriate end-point for clinical trials. Achieving the optimal level of evidence desired is a difficult feat for phase III trials; this involves a meta-analysis of multiple prospective, randomised multicentre clinical trials. The rationale for modifications should also be considered; the modifications may be proposed to improve surrogacy, to provide a more mechanistic imaging technique, or be designed to improve reproducibility of the imaging biomarker. Here, we present the commonly described modifications of RECIST, each of which is associated with different levels of evidence and validation.
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