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Article

Metabolic phenotyping with computed tomography deep learning for metabolic syndrome, osteoporosis and sarcopenia predicts mortality in adults.

Journal of cachexia, sarcopenia and muscle - 1 Aug 2024

Cho Sang Wouk, Baek Seungjin, Han Sookyeong, Kim Chang Oh, Kim Hyeon Chang, Rhee Yumie, Hong Namki

Abstract excerpt

BACKGROUND: Computed tomography (CT) body compositions reflect age-related metabolic derangements. We aimed to develop a multi-outcome deep learning model using CT multi-level body composition parameters to detect metabolic syndrome (MS), osteoporosis and sarcopenia by identifying metabolic clusters simultaneously. We also investigated the prognostic value of metabolic phenotyping by CT model for long-term...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38649795
DOI: 10.1002/jcsm.13487
PMCID: PMC11294037

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