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Dataset Information

Differentiating interstitial lung diseases from other respiratory diseases using electronic nose technology.


ABSTRACT:

Introduction

Interstitial lung disease (ILD) may be difficult to distinguish from other respiratory diseases due to overlapping clinical presentation. Recognition of ILD is often late, causing delay which has been associated with worse clinical outcome. Electronic nose (eNose) sensor technology profiles volatile organic compounds in exhaled breath and has potential to detect ILD non-invasively. We assessed the accuracy of differentiating breath profiles of patients with ILD from patients with asthma, chronic obstructive pulmonary disease (COPD), and lung cancer using eNose technology.

Methods

Patients with ILD, asthma, COPD, and lung cancer, regardless of stage or treatment, were included in a cross-sectional study in two hospitals. Exhaled breath was analysed using an eNose

SUBMITTER: van der Sar IG 

PROVIDER: S-EPMC10626662 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature