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临床试验中RECIST数据提取的陷阱:超越基础内容

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

作者信息

Abramson Richard G, McGhee Carrie R, Lakomkin Nikita, Arteaga Carlos L

机构信息

Vanderbilt University School of Medicine, Department of Radiology and Radiological Science, 1161 21st Avenue South, CCC-1121 MCN, Nashville, TN 37232-2675.

Vanderbilt University School of Medicine, Department of Radiology and Radiological Science, 1161 21st Avenue South, CCC-1121 MCN, Nashville, TN 37232-2675.

出版信息

Acad Radiol. 2015 Jun;22(6):779-86. doi: 10.1016/j.acra.2015.01.015. Epub 2015 Mar 18.

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.

摘要

实体瘤疗效评价标准(RECIST)是一种标准化方法,用于根据影像学研究中病灶外观的变化来确定抗癌治疗的疗效。现在,许多放射科医生在其日常临床工作流程中、作为会诊安排的一部分或在专门的影像核心实验室中使用RECIST。尽管已发表的文章和在线资源中对基本的RECIST方法有详细描述,但经验不足的读者在理解RECIST的某些细微差别时可能会遇到困难。本文阐述了一组被认为是“超出基础内容”的RECIST评估陷阱。这些陷阱是在对一个最近成立的癌症影像核心实验室进行质量改进审查时发现的,该实验室的放射科工作人员此前的RECIST经验有限。陷阱分为四类:(1)病灶的基线选择,(2)靶病灶的重新评估,(3)非靶病灶的重新评估,以及(4)新病灶的识别。文中还提出了应对这些陷阱的教育和操作策略。关注这些陷阱和策略可能会提高放射科医生进行RECIST评估的整体质量。

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