Authors
Sharina Kort, Marjolein Brusse-Keizer, Hugo Schouwink, Emanuel Citgez, Frans H de Jongh, Jan WG van Putten, Ben van den Borne, Elisabeth A Kastelijn, Daiana Stolz, Milou Schuurbiers, Michel M van den Heuvel, Wouter H van Geffen, Job van der Palen
Publication date
2023/3/1
Journal
Chest
Volume
163
Issue
3
Pages
697-706
Publisher
Elsevier
Description
Background
Despite the potential of exhaled breath analysis of volatile organic compounds to diagnose lung cancer, clinical implementation has not been realized, partly due to the lack of validation studies.
Research Question
This study addressed two questions. First, can we simultaneously train and validate a prediction model to distinguish patients with non-small cell lung cancer from non-lung cancer subjects based on exhaled breath patterns? Second, does addition of clinical variables to exhaled breath data improve the diagnosis of lung cancer?
Study Design and Methods
In this multicenter study, subjects with non-small cell lung cancer and control subjects performed 5 min of tidal breathing through the aeoNose, a handheld electronic nose device. A training cohort was used for developing a prediction model based on breath data, and a blinded cohort was used for validation. Multivariable logistic regression …
Total citations
Scholar articles
S Kort, M Brusse-Keizer, H Schouwink, E Citgez… - Chest, 2023