학술논문
Elexacaftor/tezacaftor/ivacaftor influences body composition in adults with cystic fibrosis: a fully automated CT-based analysis.
Document Type
Academic Journal
Author
Westhölter D; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Haubold J; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Welsner M; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Salhöfer L; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Wienker J; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Sutharsan S; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Straßburg S; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Adult Cystic Fibrosis Center, Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Taube C; Department of Pulmonary Medicine, University Hospital Essen-Ruhrlandklinik, Essen, Germany.; Umutlu L; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Schaarschmidt BM; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Koitka S; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Zensen S; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Forsting M; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Nensa F; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Hosch R; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany.; Opitz M; Institute for Artificial Intelligence in Medicine, University Hospital Essen, Essen, Germany. marcel.opitz@uk-essen.de.; Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany. marcel.opitz@uk-essen.de.
Source
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Subject
Language
English
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 < 0.001). In contrast, only small, but statistically significant increases of the muscle ratio were measured in the overall study population (+ 1.63%, p = 0.008). Study participants who were initially categorized as underweight experienced more pronounced effects on total adipose tissue ratio (p = 0.002), while gains in muscle ratio were equally distributed across BMI categories (p = 0.832). Our findings suggest that ETI therapy primarily affects adipose tissues, not muscle tissue, in adults with CF. These effects are primarily observed among pwCF who were initially underweight. Our findings may have implications for the future nutritional management of pwCF.
(© 2024. The Author(s).)
(© 2024. The Author(s).)