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Exhaled breath to screen for malignant pleural mesothelioma: a validation study
European Respiratory Journal ( IF 24.3 ) Pub Date : 2017-12-01 , DOI: 10.1183/13993003.00919-2017
Kevin Lamote , Matthijs Vynck , Olivier Thas , Joris Van Cleemput , Kristiaan Nackaerts , Jan P. van Meerbeeck

Malignant pleural mesothelioma (MPM) is predominantly caused by asbestos exposure and has a poor prognosis. Breath contains volatile organic compounds (VOCs) and can be explored as an early detection tool. Previously, we used multicapillary column/ion mobility spectrometry (MCC/IMS) to discriminate between patients with MPM and asymptomatic high-risk persons with a high rate of accuracy. Here, we aim to validate these findings in different control groups. Breath and background samples were obtained from 52 patients with MPM, 52 healthy controls without asbestos exposure (HC), 59 asymptomatic former asbestos workers (AEx), 41 patients with benign asbestos-related diseases (ARD), 70 patients with benign non-asbestos-related lung diseases (BLD) and 56 patients with lung cancer (LC). After background correction, logistic lasso regression and receiver operating characteristic (ROC) analysis, the MPM group was discriminated from the HC, AEx, ARD, BLD and LC groups with 65%, 88%, 82%, 80% and 72% accuracy, respectively. Combining AEx and ARD patients resulted in 94% sensitivity and 96% negative predictive value (NPV). The most important VOCs selected were P1, P3, P7, P9, P21 and P26. We discriminated MPM patients from at-risk subjects with great accuracy. The high sensitivity and NPV allow breath analysis to be used as a screening tool for ruling out MPM. Breath analysis can be used to screen for malignant pleural mesothelioma in high-risk asbestos-exposed persons http://ow.ly/GppL30gCOaD

中文翻译:

呼出气筛查恶性胸膜间皮瘤:一项验证研究

恶性胸膜间皮瘤(MPM)主要由石棉暴露引起,预后较差。呼吸中含有挥发性有机化合物 (VOC),可以作为早期检测工具进行探索。以前,我们使用多毛细管柱/离子迁移谱仪 (MCC/IMS) 以较高的准确率区分 MPM 患者和无症状的高危人群。在这里,我们的目标是在不同的对照组中验证这些发现。呼吸和背景样本来自 52 名 MPM 患者、52 名未接触石棉 (HC) 的健康对照者、59 名无症状的前石棉工人 (AEx)、41 名患有良性石棉相关疾病 (ARD) 的患者、70 名良性非石棉患者相关肺部疾病 (BLD) 和 56 名肺癌 (LC) 患者。背景校正后,逻辑套索回归和受试者工作特征(ROC)分析,MPM 组与 HC、AEx、ARD、BLD 和 LC 组的区分准确率分别为 65%、88%、82%、80% 和 72%。将 AEx 和 ARD 患者相结合导致 94% 的敏感性和 96% 的阴性预测值 (NPV)。选择的最重要的 VOC 是 P1、P3、P7、P9、P21 和 P26。我们非常准确地将 MPM 患者与有风险的受试者区分开来。高灵敏度和 NPV 允许将呼吸分析用作排除 MPM 的筛选工具。呼气分析可用于筛查高危石棉暴露者的恶性胸膜间皮瘤 http://ow.ly/GppL30gCOaD 将 AEx 和 ARD 患者相结合导致 94% 的敏感性和 96% 的阴性预测值 (NPV)。选择的最重要的 VOC 是 P1、P3、P7、P9、P21 和 P26。我们非常准确地将 MPM 患者与有风险的受试者区分开来。高灵敏度和 NPV 允许将呼吸分析用作排除 MPM 的筛选工具。呼气分析可用于筛查高危石棉暴露者的恶性胸膜间皮瘤 http://ow.ly/GppL30gCOaD 将 AEx 和 ARD 患者相结合导致 94% 的敏感性和 96% 的阴性预测值 (NPV)。选择的最重要的 VOC 是 P1、P3、P7、P9、P21 和 P26。我们非常准确地将 MPM 患者与有风险的受试者区分开来。高灵敏度和 NPV 允许将呼吸分析用作排除 MPM 的筛选工具。呼气分析可用于筛查高危石棉暴露者的恶性胸膜间皮瘤 http://ow.ly/GppL30gCOaD
更新日期:2017-12-01
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