Université Paris Cité, Paris, France
Assistance Publique- Hopitaux de Paris, Cochin hospital Radiology department, Paris, France.
BMJ Open. 2022 Dec 8;12(12):e067263. doi: 10.1136/bmjopen-2022-067263.
Lung cancer screening (LCS) using low-dose CT has been demonstrated to reduce lung cancer-related mortality in large randomised controlled trials. Moving from trials to practice requires answering practical questions about the level of expertise of CT readers, the need for double reading as in trials and the potential role of artificial intelligence (AI). In addition, most LCS studies have predominantly included male participants with women being under-represented, even though the benefit of screening is greater for them. Thus, this study aims to compare the performance of a single CT reading by general radiologists trained in LCS using AI as a second reader to that of a double reading by expert thoracic radiologists, in a campaign for low-dose CT screening in high-risk women.
This observational cohort study will recruit 2400 asymptomatic women aged between 50 and 74 years, current or former smokers with at least a 20 pack-year smoking history, in 4 different French district areas. Assistance with smoking cessation will be offered to current smokers. An initial low-dose CT scan will be performed, with subsequent follow-ups at 1 year and 2 years. The primary objective is to compare CT scan readings by a single LCS-trained, AI-assisted radiologist to that of an expert double reading. The secondary objectives are: to evaluate the performance of AI as a stand-alone reader; the adherence to screening of female participants; the influence on smoking cessation; the psychological consequences of screening; the detection of chronic obstructive pulmonary disease (COPD), coronary artery disease and osteoporosis on low-dose CT scans and the costs incurred by screening.
Ethics approval was obtained from the Comité de Protection des Personnes Sud-Est 1 (ethics approval number: 2021-A02265-36 with an amendment on 15 July 2022). Trial results will be disseminated at conferences, through relevant patient groups and published in peer-reviewed journals.
NCT05195385.
使用低剂量 CT 的肺癌筛查(LCS)已在大型随机对照试验中证明可降低肺癌相关死亡率。从试验到实践,需要回答关于 CT 读者专业水平、试验中双读的必要性以及人工智能(AI)的潜在作用等实际问题。此外,大多数 LCS 研究主要包括男性参与者,女性代表性不足,尽管筛查对女性的益处更大。因此,本研究旨在比较在高危女性中进行低剂量 CT 筛查活动中,经过 LCS 培训的普通放射科医生使用 AI 作为第二读者的单次 CT 阅读表现与专家胸部放射科医生的双读表现。
这项观察性队列研究将招募 2400 名年龄在 50 至 74 岁之间、有吸烟史且至少有 20 包年吸烟史的无症状女性,来自法国的 4 个不同地区。将为当前吸烟者提供戒烟帮助。首先进行低剂量 CT 扫描,随后在 1 年和 2 年后进行随访。主要目标是比较 LCS 培训的单 AI 辅助放射科医生的 CT 扫描阅读与专家双读的阅读结果。次要目标是:评估 AI 作为独立读者的表现;女性参与者的筛查依从性;对戒烟的影响;筛查的心理后果;低剂量 CT 扫描上慢性阻塞性肺疾病(COPD)、冠状动脉疾病和骨质疏松症的检出以及筛查的费用。
已获得 Sud-Est 1 保护人委员会的伦理批准(伦理批准号:2021-A02265-36,于 2022 年 7 月 15 日修订)。试验结果将在会议上、通过相关患者群体和发表在同行评审期刊上进行传播。
NCT05195385。