Impact on Prognosis of Stage I Non-Small Cell Lung Cancer Secondary to Delays in Diagnostic Workup.

IF 12.1 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Radiology Pub Date : 2024-10-01 DOI:10.1148/radiol.240420
David F Yankelevitz, Rowena Yip, Claudia I Henschke
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引用次数: 0

Abstract

Background Diagnostic workup of small pulmonary nodules often requires follow-up CT scans to confirm nodule growth before invasive diagnostics or treatment. Purpose To confirm prior results from the International Early Lung Cancer Action Program (I-ELCAP) on quantifying decreases in lung cancer prognosis by using two large databases, the National Lung Screening Trial (NLST) and International Association for the Study of Lung Cancer (IASLC). Materials and Methods In this retrospective study, a model was developed to predict cure rates based on size of solid nodules using the NLST (August 2002 to summer 2007) and IASLC (January 2011 to December 2019) databases, focusing on stage I non-small cell lung cancer (NSCLC). Kaplan-Meier methods were used to calculate 10-year lung cancer-specific survival and 5-year overall survival rates for different tumor sizes. Tumor diameter increases after 90-, 180-, and 365-day delays were estimated using volume doubling times (VDTs) of 60, 120, and 240 days corresponding to fast, moderate, and slow tumor growth. Initial and delayed lung cancer cure rates were assessed across nine scenarios of time delays and tumor growth rates and compared with the previous results of the I-ELCAP database. Results Using regression models based on 166 NLST and 22 590 IASLC patients with NSCLC, 10-year lung cancer-specific survival and 5-year overall survival, respectively, for tumors 4.0-20.0 mm in diameter were estimated. For a 20.0-mm tumor with a 60-day VDT in the NLST database, the lung cancer-specific survival decreased from 83.4% to 76.5%, 66.8%, and 32.3% after 90, 180, and 365 days, respectively. The IASLC database showed similar decreases in 5-year overall survival, from 81.2% to 73.4%, 62.4%, and 23.3% after 90, 180, and 365 days, respectively. Comparison across NLST, IASLC, and I-ELCAP databases revealed minor variations in lung cancer cure rates between 79.9% and 83.4%, with reductions of 6.9%-8.3% after a 180-day delay with a 120-day VDT. Conclusion The NLST and IASLC databases confirmed prior estimates from the I-ELCAP database for the decrease in lung cancer prognosis due to diagnostic delays. © RSNA, 2024 Supplemental material is available for this article. See also the editorial by Park and Lee in this issue.

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诊断工作延误对 I 期非小细胞肺癌预后的影响。
背景 肺部小结节的诊断工作通常需要进行后续 CT 扫描,以便在进行侵入性诊断或治疗之前确认结节的生长情况。目的 通过使用国家肺部筛查试验(NLST)和国际肺癌研究协会(IASLC)这两个大型数据库,证实国际早期肺癌行动计划(I-ELCAP)之前关于量化肺癌预后下降的结果。材料与方法 在这项回顾性研究中,我们利用 NLST(2002 年 8 月至 2007 年夏季)和 IASLC(2011 年 1 月至 2019 年 12 月)数据库开发了一个模型,根据实体结节的大小预测治愈率,重点关注 I 期非小细胞肺癌(NSCLC)。采用卡普兰-梅耶法计算不同肿瘤大小的10年肺癌特异性生存率和5年总生存率。使用体积倍增时间(VDT)(60、120和240天)估算了90、180和365天延迟后肿瘤直径的增加,分别对应快速、中度和慢速肿瘤生长。评估了九种延迟时间和肿瘤生长率情况下的初始和延迟肺癌治愈率,并与 I-ELCAP 数据库之前的结果进行了比较。结果 使用基于 166 名 NLST 和 22 590 名 IASLC NSCLC 患者的回归模型,分别估算了直径为 4.0-20.0 毫米的肿瘤的 10 年肺癌特异性生存率和 5 年总生存率。在 NLST 数据库中,对于 VDT 为 60 天的 20.0 毫米肿瘤,90 天、180 天和 365 天后的肺癌特异性生存率分别从 83.4% 降至 76.5%、66.8% 和 32.3%。IASLC 数据库显示,5 年总生存率也出现了类似的下降,90 天、180 天和 365 天后分别从 81.2% 降至 73.4%、62.4% 和 23.3%。对 NLST、IASLC 和 I-ELCAP 数据库进行比较后发现,肺癌治愈率在 79.9% 和 83.4% 之间略有不同,在 120 天 VDT 延迟 180 天后,治愈率下降了 6.9%-8.3% 。结论 NLST 和 IASLC 数据库证实了之前 I-ELCAP 数据库对诊断延迟导致肺癌预后下降的估计。© RSNA, 2024 这篇文章有补充材料。另请参阅本期 Park 和 Lee 的社论。
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
Radiology
Radiology 医学-核医学
CiteScore
35.20
自引率
3.00%
发文量
596
审稿时长
3.6 months
期刊介绍: Published regularly since 1923 by the Radiological Society of North America (RSNA), Radiology has long been recognized as the authoritative reference for the most current, clinically relevant and highest quality research in the field of radiology. Each month the journal publishes approximately 240 pages of peer-reviewed original research, authoritative reviews, well-balanced commentary on significant articles, and expert opinion on new techniques and technologies. Radiology publishes cutting edge and impactful imaging research articles in radiology and medical imaging in order to help improve human health.
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