Performance of volume and diameter thresholds in malignancy prediction of solid nodules in lung cancer screening

IF 7.7 1区 医学 Q1 RESPIRATORY SYSTEM
Thorax Pub Date : 2025-06-02 DOI:10.1136/thorax-2024-222086
Andrew W Creamer, Carolyn Horst, Ruth Prendecki, Priyam Verghese, Amyn Bhamani, Helen Hall, Sophie Tisi, Jennifer L Dickson, Chuen R Khaw, John McCabe, Tanita Limani, Kylie Gyertson, Anne-Marie Hacker, Jonathan Teague, Laura Farrelly, Shrinkhala Dawadi, Neal Navani, Allan Hackshaw, Anand Devaraj, Arjun Nair, The SUMMIT Consortium, Sam M Janes
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引用次数: 0

Abstract

Background Prospective validation and comparison of the performance of nodule management protocols is limited. The aim of this study was to examine the performance of size and risk thresholds for assessing malignancy in solid nodules at baseline low-dose CT (LDCT) in a lung cancer screening (LCS) programme. Methods This was an observational study using data from the SUMMIT Study, a prospective longitudinal study investigating LDCT for LCS. Participants were 55–77 years old and met either the United States Preventative Services Task Force (2013) criteria or had a PLCOm2012 risk of ≥1.3%. LDCTs were reported using computer-aided detection software (Veolity, MeVIS) with semiautomated volumetry. Cancer outcomes were reported for solid nodules reported at baseline CT, with participants represented by the single largest solid nodule where more than one was present. Malignancy risk was stratified by long-axis diameter and volume using predefined size thresholds taken from British Thoracic Society and European Position statement guidelines: a 5/6 mm long axis diameter or 80/100 mm3 volume ‘rule out’ thresholds for low-risk nodules and ≥300 mm3 or ≥8 mm diameter with or without Brock score ≥10% ‘Rule in’ thresholds for high-risk nodules. Pearson’s χ2 test was used to calculate statistical significance for nominal variables, McNemar’s test for comparison of sensitivity/specificity and DeLong’ test for comparison of areas under the receiver operating characteristic curve (AUROC). Optimal thresholds were determined with Youden’s J statistic. Net benefit calculations were undertaken to compare the existing thresholds with 95% CIs calculated by bootstrap sampling. Results 11 355 participants were included. Crude risk of malignancy in solid nodules at baseline LDCT was 3.8% (228/5929). Risk of malignancy in solid nodules <6 mm long-axis diameter or <100 mm3 volume was equivalent to that in participants with no nodules at baseline LDCT (0.88% and 0.84% vs 0.77%, p=0.4600 and p=0.7932, respectively). A <80 mm3 volume and <5 mm diameter ‘rule out’ threshold achieved sensitivity 86.8% and 93.4%, specificity 65.4% and 24.64%, and negative predictive value (NPV) 99.2% and 98.9%, respectively. The <80 mm3 volume threshold encompassed 63.3% of participants with a baseline solid nodule compared with 24.0% by the <5 mm diameter threshold. For nodules ≥8 mm diameter, the addition of a risk score (Brock ≥10%) was associated with a significant net benefit when compared with using size threshold alone by net effect analysis (31.24; 95% CI 26.19 to 35.89). Conclusions Solid nodules <100 mm3 or <6 mm diameter are not associated with increased risk of lung cancer compared with participants with no nodules at baseline LDCT. Volumetric rule-out thresholds achieve equivalent NPV to long-axis diameter thresholds while encompassing significantly more participants, reducing the number of interval scans required. Data are available upon reasonable request. Relevant individual de-identified participant data (including data dictionaries) will be made available on reasonable request via email to SMJ (s.janes@ucl.ac.uk) following confirmation by SMJ and the Cancer Research UK and UCL Cancer Trials Centre. Data will be available to share after the publication of the study primary and secondary endpoints.
体积和直径阈值在肺癌筛查中预测实性结节恶性肿瘤中的作用
背景:前瞻性验证和比较的结节管理协议的性能是有限的。本研究的目的是在肺癌筛查(LCS)项目中,通过基线低剂量CT (LDCT)检查评估实性结节恶性程度的大小和风险阈值的表现。方法:这是一项观察性研究,使用SUMMIT研究的数据,该研究是一项前瞻性纵向研究,调查LDCT对LCS的影响。参与者年龄在55-77岁之间,符合美国预防服务工作组(2013)的标准,或者PLCOm2012风险≥1.3%。ldct报告使用计算机辅助检测软件(Veolity, MeVIS)与半自动体积法。基线CT报告实性结节的癌症结果,参与者以存在多个实性结节的单个最大实性结节为代表。恶性肿瘤风险根据长轴直径和体积分层,使用英国胸科学会和欧洲立场声明指南中预定义的大小阈值:低风险结节的5/ 6mm长轴直径或80/ 100mm3体积“排除”阈值,≥300mm3或≥8mm直径,有或没有Brock评分≥10%的高风险结节的“规则”阈值。名义变量采用Pearson χ2检验,敏感性/特异性比较采用McNemar检验,受试者工作特征曲线下面积(AUROC)比较采用DeLong检验。采用Youden 's J统计量确定最佳阈值。进行净效益计算,将现有阈值与bootstrap抽样计算的95% ci进行比较。结果共纳入11 355名受试者。基线LDCT显示,实性结节的恶性风险为3.8%(228/5929)。实性结节<6 mm长轴直径或<100 mm3体积的恶性风险与基线LDCT时无结节的参与者相当(0.88%和0.84% vs 0.77%, p=0.4600和p=0.7932)。<80 mm3体积和<5 mm直径“排除”阈值的敏感性分别为86.8%和93.4%,特异性分别为65.4%和24.64%,阴性预测值(NPV)分别为99.2%和98.9%。<80 mm3体积阈值包括63.3%的基线实性结节患者,而<5 mm直径阈值为24.0%。对于直径≥8mm的结节,与单纯使用大小阈值进行净效应分析相比,增加风险评分(Brock≥10%)与显著的净获益相关(31.24;95% CI 26.19 ~ 35.89)。结论:与基线LDCT无结节的参与者相比,直径< 100mm3或< 6mm的实性结节与肺癌风险增加无关。体积排除阈值达到了与长轴直径阈值相当的NPV,同时包含了更多的参与者,减少了所需的间隔扫描次数。如有合理要求,可提供资料。在SMJ、英国癌症研究中心和伦敦大学学院癌症试验中心确认后,如果合理要求,将通过电子邮件向SMJ (s.janes@ucl.ac.uk)提供相关的个人去识别参与者数据(包括数据字典)。在研究主要终点和次要终点公布后,数据将可共享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Thorax
Thorax 医学-呼吸系统
CiteScore
16.10
自引率
2.00%
发文量
197
审稿时长
1 months
期刊介绍: Thorax stands as one of the premier respiratory medicine journals globally, featuring clinical and experimental research articles spanning respiratory medicine, pediatrics, immunology, pharmacology, pathology, and surgery. The journal's mission is to publish noteworthy advancements in scientific understanding that are poised to influence clinical practice significantly. This encompasses articles delving into basic and translational mechanisms applicable to clinical material, covering areas such as cell and molecular biology, genetics, epidemiology, and immunology.
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