Recognition of breathprints of lung cancer and chronic obstructive pulmonary disease using the Aeonose


Journal

Journal of breath research
ISSN: 1752-7163
Titre abrégé: J Breath Res
Pays: England
ID NLM: 101463871

Informations de publication

Date de publication:
24 07 2020
Historique:
pubmed: 24 4 2020
medline: 7 10 2020
entrez: 24 4 2020
Statut: epublish

Résumé

There is a high unmet need in a non-invasive screening of lung cancer (LC). We conducted this single-center trial to evaluate the effectiveness of the electronic nose Aeonose Exhaled volatile organic compound (VOC) signatures were collected by Aeonose The established algorithm of Aeonose The Aeonose (NCT02951416).

Identifiants

pubmed: 32325432
doi: 10.1088/1752-7163/ab8c50
doi:

Banques de données

ClinicalTrials.gov
['NCT02951416']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

046004

Auteurs

Ekaterina Krauss (E)

Universities of Giessen and Marburg Lung Center (UGMLC), Member of the German Center for Lung Research (DZL), Klinikstr. 33, 35392 Giessen, Germany. European IPF Registry & Biobank (eurIPFreg), 35392 Giessen, Germany.

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Classifications MeSH