间质性肺疾病的呼气分析。

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Iris G van der Sar, Marlies S Wijsenbeek, Catharina C Moor
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引用次数: 1

摘要

回顾目的:需要更好的无创工具来诊断间质性肺疾病(ILD)并预测病程。呼出气体中存在的挥发性有机化合物含有有关个人健康的宝贵信息,可能是ILD的一种新的生物标志物。在这篇综述中,我们将概述呼吸分析的基本原理,总结ILD的现有证据,并讨论未来的前景。最近的发现:在过去的十年中,越来越多的研究对ILD患者进行了呼气分析,使用两种方法进行呼气分析:气相色谱-质谱法和电子鼻技术。大多数研究显示诊断ILD的准确性很高,但研究设计和方法却各不相同。研究电子鼻技术预测治疗反应和疾病行为的潜力正在进行中。摘要:大多数在ILD中使用呼气分析的研究显示出有希望的诊断结果,但缺乏验证性研究。需要使用标准化方法进行更大规模的前瞻性纵向研究,以收集开发经批准的诊断性医学测试所需的证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Exhaled breath analysis in interstitial lung disease.

Exhaled breath analysis in interstitial lung disease.

Exhaled breath analysis in interstitial lung disease.

Exhaled breath analysis in interstitial lung disease.

Purpose of review: There is a need for better noninvasive tools to diagnose interstitial lung disease (ILD) and predict disease course. Volatile organic compounds present in exhaled breath contain valuable information on a person's health and may be a novel biomarker in ILD. In this review, we will give an overview of the basic principles of breath analysis, summarize the available evidence in ILD, and discuss future perspectives.

Recent findings: An increasing number of studies on exhaled breath analysis were performed over the last decade in patients with ILD, using two methods for exhaled breath analysis: gas chromatography-mass spectrometry and electronic nose technology. Most studies showed high accuracy for diagnosis of ILD, but study design and methods widely varied. Studies investigating the potential of electronic nose technology to predict treatment response and disease behavior are ongoing.

Summary: The majority of studies using exhaled breath analysis in ILD show promising results for diagnostic purposes, but validation studies are lacking. Larger prospective longitudinal studies using standardized methods are needed to collect the evidence required for developing an approved diagnostic medical test.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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