Evaluating Sex-specific Differences in Abdominal Fat Volume and Proton Density Fat Fraction at MRI Using Automated nnU-Net-based Segmentation.
Abdominal Fat Volume
Chemical Shift–encoded MRI
Obesity
Proton Density Fat Fraction
nnU-Net
Journal
Radiology. Artificial intelligence
ISSN: 2638-6100
Titre abrégé: Radiol Artif Intell
Pays: United States
ID NLM: 101746556
Informations de publication
Date de publication:
Jul 2024
Jul 2024
Historique:
medline:
10
7
2024
pubmed:
29
5
2024
entrez:
29
5
2024
Statut:
ppublish
Résumé
Sex-specific abdominal organ volume and proton density fat fraction (PDFF) in people with obesity during a weight loss intervention was assessed with automated multiorgan segmentation of quantitative water-fat MRI. An nnU-Net architecture was employed for automatic segmentation of abdominal organs, including visceral and subcutaneous adipose tissue, liver, and psoas and erector spinae muscle, based on quantitative chemical shift-encoded MRI and using ground truth labels generated from participants of the Lifestyle Intervention (LION) study. Each organ's volume and fat content were examined in 127 participants (73 female and 54 male participants; body mass index, 30-39.9 kg/m
Substances chimiques
Protons
0
Banques de données
ClinicalTrials.gov
['NCT04023942']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM