Lung cancer detection by electronic nose analysis of exhaled breath: a multi-center prospective external validation study

The data was collected in the context of a multi-center prospective external validation study that primarily aimed to (1) prospectively and externally validate the diagnostic performance of a published electronic nose (eNose) model in COPD patients with clinical and/or radiological suspicion of lung cancer at thoracic oncology outpatient clinics, and (2) explore the diagnostic performance of the published and a new eNose model, specifically tailored to the target population, for lung cancer detection in all individuals with clinical and/or radiological suspicion of lung cancer at thoracic oncology outpatient clinics. The secondary aim of the study was to confirm the eNose's discriminatory power with mass spectrometry analysis. The data was collected from two cohorts of adults with clinical and/or radiological suspicion of lung cancer who were referred to the thoracic oncology outpatient clinics of the Radboudumc or the UMCG for further diagnostic evaluation. eNose measurements were performed for both cohorts, while mass spectrometry analysis was only performed for the second cohort. Baseline characteristics and eNose data of both cohorts are included in the files: "Baseline characteristics first cohort" and "Baseline characteristics second cohort". Mass spectrometry data are included in the "TD-GC-MS data second cohort" file.

本数据集源自一项多中心前瞻性外部验证研究，其核心目标分为两项：其一，针对胸科肿瘤门诊中临床及/或影像学疑似肺癌的慢性阻塞性肺疾病（Chronic Obstructive Pulmonary Disease, COPD）患者，前瞻性开展外部验证，以评估已发表的电子鼻（electronic nose, eNose）模型的诊断性能；其二，针对胸科肿瘤门诊中所有临床及/或影像学疑似肺癌的个体，分别评估已发表模型与专为目标人群定制的新型电子鼻模型的肺癌诊断效能。
本研究的次要目标为通过质谱分析验证电子鼻的判别能力。
本数据集的受试者来自两类成人队列，所有受试者均因临床及/或影像学疑似肺癌，被转诊至拉德堡德大学医学中心（Radboudumc）或格罗宁根大学医学中心（UMCG）的胸科肿瘤门诊接受进一步诊断评估。
两类队列均完成了电子鼻检测，而质谱分析仅在第二队列中开展。
两类队列的基线特征与电子鼻数据分别收录于文件"Baseline characteristics first cohort"与"Baseline characteristics second cohort"中；质谱数据收录于文件"TD-GC-MS data second cohort"内。