Lee Christoph I, Etzioni Ruth
Department of Radiology, University of Washington School of Medicine, 825 Eastlake Avenue East, G3-200, Seattle, WA 98109-1023; Department of Health Services, University of Washington School of Public Health, Seattle, Washington.
Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Acad Radiol. 2017 Feb;24(2):226-229. doi: 10.1016/j.acra.2016.05.020. Epub 2016 Nov 25.
The balance between the benefits and harms of imaging-based cancer screening continues to be an area of controversy and widespread media attention. Of the potential harms, overdiagnosis from screening is likely the most elusive in estimating and quantifying. This article describes the major methodological issues with recently reported estimates of overdiagnosis that are based on excess cancer incidence, and suggests that modeling focused on tumor lead-time can serve as a complementary method for excess incidence-based overdiagnosis estimates. Radiologists should be conversant on the topic of overdiagnosis and understand the limitations of different methods used to estimate its magnitude.
基于影像学的癌症筛查的利弊平衡仍是一个备受争议且受到媒体广泛关注的领域。在潜在危害中,筛查导致的过度诊断在估计和量化方面可能是最难以捉摸的。本文描述了近期基于癌症发病率过高所报告的过度诊断估计中的主要方法学问题,并提出专注于肿瘤提前期的建模可作为基于发病率过高的过度诊断估计的一种补充方法。放射科医生应熟悉过度诊断这一主题,并了解用于估计其程度的不同方法的局限性。