UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, University of California Los Angeles, Los Angeles, California, USA.
Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Neuro Oncol. 2021 Feb 25;23(2):189-198. doi: 10.1093/neuonc/noaa253.
Determination of therapeutic benefit in intracranial tumors is intimately dependent on serial assessment of radiographic images. The Response Assessment in Neuro-Oncology (RANO) criteria were established in 2010 to provide an updated framework to better characterize tumor response to contemporary treatments. Since this initial update a number of RANO criteria have provided some basic principles for the interpretation of changes on MR images; however, the details of how to operationalize RANO and other criteria for use in clinical trials are ambiguous and not standardized. In this review article designed for the neuro-oncologist or treating clinician, we outline essential steps for performing radiographic assessments by highlighting primary features of the Imaging Charter (referred to as the Charter for the remainder of this article), a document that describes the clinical trial imaging methodology and methods to ensure operationalization of the Charter into the workings of a clinical trial. Lastly, we provide recommendations for specific changes to optimize this methodology for neuro-oncology, including image registration, requirement of growing tumor for eligibility in trials of recurrent tumor, standardized image acquisition guidelines, and hybrid reader paradigms that allow for both unbiased measurements and more comprehensive interpretation.
颅内肿瘤的治疗效果的确定与连续的影像学评估密切相关。反应评估在神经肿瘤学(RANO)标准于 2010 年建立,为更好地描述肿瘤对当代治疗方法的反应提供了一个更新的框架。自最初更新以来,许多 RANO 标准为磁共振成像(MRI)上的变化解释提供了一些基本原则;然而,如何在临床试验中实施 RANO 和其他标准的细节是不明确的,也没有标准化。在这篇专为神经肿瘤学家或治疗临床医生设计的综述文章中,我们通过突出成像宪章(简称宪章,在本文的其余部分使用)的主要特征,概述了进行放射性评估的基本步骤,该宪章描述了临床试验的影像学方法和确保宪章在临床试验中的实施的方法。最后,我们提出了优化神经肿瘤学方法的具体建议,包括图像配准、试验中复发性肿瘤的生长肿瘤的要求、标准化的图像采集指南,以及允许进行无偏测量和更全面解释的混合读者模式。