Chen Ruizhe, Wang Hao
The Sidney Kimmel Comprehensive Cancer Center, Division of Quantitative Sciences, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
J Magn Reson Imaging. 2025 Feb;61(2):561-567. doi: 10.1002/jmri.29446. Epub 2024 May 13.
Time-to-event endpoints are widely used as measures of patients' well-being and indicators of prognosis. In imaging-based biomarker studies, there are increasingly more studies that focus on examining imaging biomarkers' prognostic or predictive utilities on those endpoints, whether in a trial or an observational study setting. In this educational review article, we briefly introduce some basic concepts of time-to-event endpoints and point out potential pitfalls in the context of imaging biomarker research in hope of improving radiologists' understanding of related subjects. Besides, we have included some review and discussions on the benefits of using time-to-event endpoints and considerations on selecting overall survival or progression-free survival for primary analysis. LEVEL OF EVIDENCE: 5 TECHNICAL EFFICACY: Stage 3.
事件发生时间终点广泛用作衡量患者健康状况的指标和预后指标。在基于影像学的生物标志物研究中,越来越多的研究聚焦于在试验或观察性研究环境中,检验影像学生物标志物在这些终点方面的预后或预测效用。在这篇教育性综述文章中,我们简要介绍事件发生时间终点的一些基本概念,并指出在影像学生物标志物研究背景下的潜在陷阱,以期提高放射科医生对相关主题的理解。此外,我们还纳入了一些关于使用事件发生时间终点的益处的综述和讨论,以及关于选择总生存期或无进展生存期进行主要分析的考量。证据级别:5 技术效能:3级