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通过电子鼻子分析呼出的呼吸来检测肺癌:一个多中心的前性外部验证研究

A I G Buma¹, M B Muntinghe-Wagenaar², V van der Noort³

¹Department of Respiratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands.

Annals of oncology : official journal of the European Society for Medical Oncology

|April 2, 2025

概括

电子鼻子 (eNose) 呼吸分析准确地检测出门诊患者的肺癌. 这项研究验证了现有的和新开发的eNose模型,在不同患者群体和临床因素中显示出一致的性能.

科学领域:

肺部医学肺部医学
在瘤学瘤学.
生物技术是生物技术.

背景情况:

电子鼻子 (eNose) 技术显示出通过呼气分析进行非侵入性肺癌诊断的前景.
对eNose模型用于肺癌检测的未来外部验证至关重要,但一直缺乏.
这项研究解决了慢性阻塞性肺病 (COPD) 患者和一般门诊患者群体的验证需求.

研究的目的:

以前性和外部验证已发表的eNose模型,用于COPD患者的肺癌检测.
在一般门诊患者群体中评估一个新的,定制的eNose模型的诊断性能.
评估eNose模型在各种患者和疾病特征中的一致性.

主要方法:

一项多中心前性外部验证研究,涉及怀疑患有肺癌的成年人.
在胸部瘤门诊处使用云连接的eNose (SpiroNose®) 收集的呼吸样本.
使用ROC-AUC,特异性,PPV和NPV评估诊断性能,目标是95%的灵敏度,新模型有单独的培训和验证队列.

主要成果:

原来的eNose模型显示,COPD患者的ROC-AUC为0.92,所有参与者的ROC-AUC为0.80.
新的eNose模型在验证队列中实现了0.83的ROC-AUC,具有94%的灵敏度和63%的特异性.
精确的肺癌检测在瘤特征,疾病阶段,诊断中心和临床因素中是一致的.

结论:

呼出的气息的eNose分析在胸部瘤门诊诊所提供了准确的肺癌检测.
诊断性能是可靠的,无论瘤的特征,疾病的阶段,或诊断中心.
这项技术为及时和准确的肺癌诊断提供了宝贵的工具.

关键词:

诊断生物标志物的生物标志物电子鼻子电子鼻子呼出的呼吸分析.肺癌是一种肺癌.

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