Ding Xiangxiang, Lin Guihu, Wang Peiyu, Chen Haibin, Li Nan, Yang Zhi, Qiu Mantang
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
Key Laboratory for Research and Evaluation of Radiopharmaceuticals (National Medical Products Administration), Department of Nuclear Medicine, Peking University Cancer Hospital & Institute, Beijing, China.
Front Oncol. 2023 Jun 2;13:1204435. doi: 10.3389/fonc.2023.1204435. eCollection 2023.
With the application of low-dose computed tomography in lung cancer screening, pulmonary nodules have become increasingly detected. Accurate discrimination between primary lung cancer and benign nodules poses a significant clinical challenge. This study aimed to investigate the viability of exhaled breath as a diagnostic tool for pulmonary nodules and compare the breath test with 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)-computed tomography (CT). Exhaled breath was collected by Tedlar bags and analyzed by high-pressure photon ionization time-of-flight mass spectrometry (HPPI-TOFMS). A retrospective cohort (n = 100) and a prospective cohort (n = 63) of patients with pulmonary nodules were established. In the validation cohort, the breath test achieved an area under the receiver operating characteristic curve (AUC) of 0.872 (95% CI 0.760-0.983) and a combination of 16 volatile organic compounds achieved an AUC of 0.744 (95% CI 0.7586-0.901). For PET-CT, the SUVmax alone had an AUC of 0.608 (95% CI 0.433-0.784) while after combining with CT image features, 18F-FDG PET-CT had an AUC of 0.821 (95% CI 0.662-0.979). Overall, the study demonstrated the efficacy of a breath test utilizing HPPI-TOFMS for discriminating lung cancer from benign pulmonary nodules. Furthermore, the accuracy achieved by the exhaled breath test was comparable with 18F-FDG PET-CT.
随着低剂量计算机断层扫描在肺癌筛查中的应用,肺部结节的检出率越来越高。准确区分原发性肺癌和良性结节是一项重大的临床挑战。本研究旨在探讨呼出气作为肺部结节诊断工具的可行性,并将呼气试验与18F-氟脱氧葡萄糖(18F-FDG)正电子发射断层扫描(PET)-计算机断层扫描(CT)进行比较。呼出气通过 Tedlar 袋收集,并采用高压光子电离飞行时间质谱(HPPI-TOFMS)进行分析。建立了一个回顾性队列(n = 100)和一个前瞻性队列(n = 63)的肺部结节患者。在验证队列中,呼气试验的受试者工作特征曲线下面积(AUC)为0.872(95%CI 0.760-0.983),16种挥发性有机化合物的组合AUC为0.744(95%CI 0.7586-0.901)。对于PET-CT,单独的SUVmax的AUC为0.608(95%CI 0.433-0.784),而与CT图像特征相结合后,18F-FDG PET-CT的AUC为0.821(95%CI 0.662-0.979)。总体而言,该研究证明了利用HPPI-TOFMS进行呼气试验以区分肺癌和良性肺结节的有效性。此外,呼气试验所达到的准确性与18F-FDG PET-CT相当。