Center for Statistical Sciences, Brown University, Box G-S121, 121 S Main St, 7th Floor, Providence, RI 02912, USA.
Radiology. 2011 Jan;258(1):243-53. doi: 10.1148/radiol.10091808. Epub 2010 Nov 2.
The National Lung Screening Trial (NLST) is a randomized multicenter study comparing low-dose helical computed tomography (CT) with chest radiography in the screening of older current and former heavy smokers for early detection of lung cancer, which is the leading cause of cancer-related death in the United States. Five-year survival rates approach 70% with surgical resection of stage IA disease; however, more than 75% of individuals have incurable locally advanced or metastatic disease, the latter having a 5-year survival of less than 5%. It is plausible that treatment should be more effective and the likelihood of death decreased if asymptomatic lung cancer is detected through screening early enough in its preclinical phase. For these reasons, there is intense interest and intuitive appeal in lung cancer screening with low-dose CT. The use of survival as the determinant of screening effectiveness is, however, confounded by the well-described biases of lead time, length, and overdiagnosis. Despite previous attempts, no test has been shown to reduce lung cancer mortality, an endpoint that circumvents screening biases and provides a definitive measure of benefit when assessed in a randomized controlled trial that enables comparison of mortality rates between screened individuals and a control group that does not undergo the screening intervention of interest. The NLST is such a trial. The rationale for and design of the NLST are presented.
美国国家肺癌筛查试验(NLST)是一项随机多中心研究,比较了低剂量螺旋 CT 与胸部 X 线摄影在筛查早期肺癌方面的作用,肺癌是美国癌症相关死亡的主要原因。通过手术切除 I 期疾病,5 年生存率接近 70%;然而,超过 75%的患者患有无法治愈的局部晚期或转移性疾病,后者 5 年生存率低于 5%。如果能够在临床前阶段通过筛查尽早发现无症状肺癌,那么治疗应该更有效,死亡的可能性也会降低,这是合理的。出于这些原因,用低剂量 CT 进行肺癌筛查引起了强烈的兴趣和直观的吸引力。然而,使用生存率作为筛选效果的决定因素,受到了领先时间、长度和过度诊断等已描述偏差的干扰。尽管之前有过尝试,但没有任何一项检查能够降低肺癌死亡率,这是一个终点,它避免了筛选偏差,并在随机对照试验中提供了明确的益处衡量标准,该试验能够比较接受筛选干预和不接受感兴趣的筛选干预的个体之间的死亡率。NLST 就是这样一项试验。本文介绍了 NLST 的原理和设计。