Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Associate Professor, Department of Diagnostic Imaging, Warren Alpert Medical School of Brown University, Providence, Rhode Island, and Lifespan Biostatistics, Epidemiology, and Research Design, Providence, Rhode Island.
J Am Coll Radiol. 2023 Aug;20(8):769-780. doi: 10.1016/j.jacr.2023.04.008. Epub 2023 Jun 8.
To review Lung CT Screening Reporting and Data System (Lung-RADS) scores from 2014 to 2021, before changes in eligibility criteria proposed by the US Preventative Services Taskforce.
A registered systematic review and meta-analysis was conducted in MEDLINE, Embase, CINAHL, and Web of Science in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines; eligible studies examined low-dose CT (LDCT) lung cancer screening at institutions in the United States and reported Lung-RADS from 2014 to 2021. Patient and study characteristics, including age, gender, smoking status, pack-years, screening timeline, number of individual patients, number of unique studies, Lung-RADS scores, and positive predictive value (PPV) were extracted. Meta-analysis estimates were derived from generalized linear mixed modeling.
The meta-analysis included 24 studies yielding 36,211 LDCT examinations for 32,817 patient encounters. The meta-analysis Lung-RADS 1-2 scores were lower than anticipated by ACR guidelines, at 84.4 (95% confidence interval [CI] 83.3-85.6) versus 90% respectively (P < .001). Lung-RADS 3 and 4 scores were both higher than anticipated by the ACR, at 8.7% (95% CI 7.6-10.1) and 6.5% (95% CI 5.707.4), compared with 5% and 4%, respectively (P < .001). The ACR's minimum estimate of PPV for Lung-RADS 3 to 4 is 21% or higher; we observed a rate of 13.1% (95% CI 10.1-16.8). However, our estimated PPV rate for Lung-RADS 4 was 28.6% (95% CI 21.6-36.8).
Lung-RADS scores and PPV rates in the literature are not aligned with the ACR's own estimates, suggesting that perhaps Lung-RADS categorization needs to be reexamined for better concordance with real-world screening populations. In addition to serving as a benchmark before screening guideline broadening, this study provides guidance for future reporting of lung cancer screening and Lung-RADS data.
回顾美国预防服务工作组提议改变资格标准之前,2014 年至 2021 年的肺部 CT 筛查报告和数据系统(Lung-RADS)评分。
按照系统评价和荟萃分析的首选报告项目,在 MEDLINE、Embase、CINAHL 和 Web of Science 中进行了已注册的系统评价和荟萃分析;合格的研究检查了美国机构的低剂量 CT(LDCT)肺癌筛查,并报告了 2014 年至 2021 年的 Lung-RADS 评分。提取患者和研究特征,包括年龄、性别、吸烟状况、吸烟年数、筛查时间线、个体患者数量、独特研究数量、Lung-RADS 评分和阳性预测值(PPV)。使用广义线性混合模型得出荟萃分析估计值。
荟萃分析纳入了 24 项研究,共涉及 32817 例患者的 36211 次 LDCT 检查。荟萃分析中的 Lung-RADS 1-2 评分低于 ACR 指南预期,分别为 84.4(95%置信区间[CI]83.3-85.6)和 90%(P<0.001)。Lung-RADS 3 和 4 评分均高于 ACR 预期,分别为 8.7%(95% CI 7.6-10.1)和 6.5%(95% CI 5.707.4),而分别为 5%和 4%(P<0.001)。ACR 对 Lung-RADS 3 至 4 的最小预测值估计为 21%或更高;我们观察到的发生率为 13.1%(95% CI 10.1-16.8)。然而,我们估计的 Lung-RADS 4 的 PPV 率为 28.6%(95% CI 21.6-36.8)。
文献中的 Lung-RADS 评分和 PPV 率与 ACR 自己的估计不一致,这表明也许需要重新检查 Lung-RADS 分类,以使其与实际筛查人群更好地一致。除了作为筛查指南扩大之前的基准外,本研究还为肺癌筛查和 Lung-RADS 数据的未来报告提供了指导。