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Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis

Authors :
Dirk Westhölter
Johannes Haubold
Matthias Welsner
Luca Salhöfer
Johannes Wienker
Sivagurunathan Sutharsan
Svenja Straßburg
Christian Taube
Lale Umutlu
Benedikt M. Schaarschmidt
Sven Koitka
Sebastian Zensen
Michael Forsting
Felix Nensa
René Hosch
Marcel Opitz
Source :
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract A poor nutritional status is associated with worse pulmonary function and survival in people with cystic fibrosis (pwCF). CF transmembrane conductance regulator modulators can improve pulmonary function and body weight, but more data is needed to evaluate its effects on body composition. In this retrospective study, a pre-trained deep-learning network was used to perform a fully automated body composition analysis on chest CTs from 66 adult pwCF before and after receiving elexacaftor/tezacaftor/ivacaftor (ETI) therapy. Muscle and adipose tissues were quantified and divided by bone volume to obtain body size-adjusted ratios. After receiving ETI therapy, marked increases were observed in all adipose tissue ratios among pwCF, including the total adipose tissue ratio (+ 46.21%, p

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.f083b010ca674e2bb98c97dac99faa1a
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-024-59622-2