Detection of lung cancer through low-dose CT screening (NELSON): a prespecified analysis of screening test performance and interval cancers

医学 癌症筛查 肺癌 放射性武器 肺癌筛查 全国肺筛查试验 不确定 置信区间 流行病学 考试(生物学) 临床试验 癌症 医学诊断 筛选试验 内科学 放射科 儿科 纯数学 古生物学 生物 数学
作者
Nanda Horeweg,Ernst T. Scholten,Pim A. de Jong,Carlijn M. van der Aalst,Carla Weenink,Jan‐Willem J. Lammers,Kristiaan Nackaerts,Rozemarijn Vliegenthart,Kevin ten Haaf,Uraujh Yousaf-Khan,Marjolein A. Heuvelmans,Erik Thunnissen,Matthijs Oudkerk,Willem P.Th.M. Mali,Harry J. de Koning
出处
期刊:Lancet Oncology [Elsevier]
卷期号:15 (12): 1342-1350 被引量:350
标识
DOI:10.1016/s1470-2045(14)70387-0
摘要

Summary

Background

Low-dose CT screening is recommended for individuals at high risk of developing lung cancer. However, CT screening does not detect all lung cancers: some might be missed at screening, and others can develop in the interval between screens. The NELSON trial is a randomised trial to assess the effect of screening with increasing screening intervals on lung cancer mortality. In this prespecified analysis, we aimed to assess screening test performance, and the epidemiological, radiological, and clinical characteristics of interval cancers in NELSON trial participants assigned to the screening group.

Methods

Eligible participants in the NELSON trial were those aged 50–75 years, who had smoked 15 or more cigarettes per day for more than 25 years or ten or more cigarettes for more than 30 years, and were still smoking or had quit less than 10 years ago. We included all participants assigned to the screening group who had attended at least one round of screening. Screening test results were based on volumetry using a two-step approach. Initially, screening test results were classified as negative, indeterminate, or positive based on nodule presence and volume. Subsequently, participants with an initial indeterminate result underwent follow-up screening to classify their final screening test result as negative or positive, based on nodule volume doubling time. We obtained information about all lung cancer diagnoses made during the first three rounds of screening, plus an additional 2 years of follow-up from the national cancer registry. We determined epidemiological, radiological, participant, and tumour characteristics by reassessing medical files, screening CTs, and clinical CTs. The NELSON trial is registered at www.trialregister.nl, number ISRCTN63545820.

Findings

15 822 participants were enrolled in the NELSON trial, of whom 7915 were assigned to low-dose CT screening with increasing interval between screens, and 7907 to no screening. We included 7155 participants in our study, with median follow-up of 8·16 years (IQR 7·56–8·56). 187 (3%) of 7155 screened participants were diagnosed with 196 screen-detected lung cancers, and another 34 (<1%; 19 [56%] in the first year after screening, and 15 [44%] in the second year after screening) were diagnosed with 35 interval cancers. For the three screening rounds combined, with a 2-year follow-up, sensitivity was 84·6% (95% CI 79·6–89·2), specificity was 98·6% (95% CI 98·5–98·8), positive predictive value was 40·4% (95% CI 35·9–44·7), and negative predictive value was 99·8% (95% CI 99·8–99·9). Retrospective assessment of the last screening CT and clinical CT in 34 patients with interval cancer showed that interval cancers were not visible in 12 (35%) cases. In the remaining cases, cancers were visible when retrospectively assessed, but were not diagnosed because of radiological detection and interpretation errors (17 [50%]), misclassification by the protocol (two [6%]), participant non-compliance (two [6%]), and non-adherence to protocol (one [3%]). Compared with screen-detected cancers, interval cancers were diagnosed at more advanced stages (29 [83%] of 35 interval cancers vs 44 [22%] of 196 screen-detected cancers diagnosed in stage III or IV; p<0·0001), were more often small-cell carcinomas (seven [20%] vs eight [4%]; p=0·003) and less often adenocarcinomas (nine [26%] vs 102 [52%]; p=0·005).

Interpretation

Lung cancer screening in the NELSON trial yielded high specificity and sensitivity, with only a small number of interval cancers. The results of this study could be used to improve screening algorithms, and reduce the number of missed cancers.

Funding

Zorgonderzoek Nederland Medische Wetenschappen and Koningin Wilhelmina Fonds.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Leon应助999采纳,获得20
3秒前
3秒前
小巧的箴完成签到,获得积分10
3秒前
vdfr发布了新的文献求助10
4秒前
5秒前
思源应助怕黑的魂幽采纳,获得10
6秒前
我是糕手完成签到,获得积分10
6秒前
入暖完成签到,获得积分10
6秒前
site001完成签到 ,获得积分10
6秒前
wei完成签到 ,获得积分10
7秒前
123发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
9秒前
丘比特应助壮观缘分采纳,获得10
11秒前
12秒前
脑洞疼应助灵巧的小笼包采纳,获得10
13秒前
CP发布了新的文献求助10
14秒前
小岛完成签到,获得积分10
15秒前
赵梦杰完成签到,获得积分10
15秒前
充电宝应助达奚东权采纳,获得10
15秒前
我是老大应助七七采纳,获得10
15秒前
Salen-Cr完成签到,获得积分10
15秒前
Silvia发布了新的文献求助10
15秒前
15秒前
16秒前
wfy发布了新的文献求助10
16秒前
Jasper应助高超采纳,获得10
16秒前
123完成签到,获得积分20
16秒前
16秒前
17秒前
renjh完成签到,获得积分10
17秒前
999完成签到,获得积分10
18秒前
科研通AI6应助丹尼儿采纳,获得10
19秒前
19秒前
Jasper应助小6采纳,获得10
19秒前
19秒前
mark完成签到,获得积分10
20秒前
linxiang发布了新的文献求助10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
List of 1,091 Public Pension Profiles by Region 1581
Encyclopedia of Agriculture and Food Systems Third Edition 1500
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Current Trends in Drug Discovery, Development and Delivery (CTD4-2022) 800
Biology of the Reptilia. Volume 21. Morphology I. The Skull and Appendicular Locomotor Apparatus of Lepidosauria 600
The Scope of Slavic Aspect 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5535553
求助须知:如何正确求助?哪些是违规求助? 4623436
关于积分的说明 14587262
捐赠科研通 4563881
什么是DOI,文献DOI怎么找? 2501299
邀请新用户注册赠送积分活动 1480395
关于科研通互助平台的介绍 1451721