Gender difference in cross-sectional area and fat infiltration of thigh muscles in the elderly population on MRI: an AI-based analysis.

Journal: European radiology experimental
Published Date: Jul 7, 2025

Abstract

BACKGROUND: Aging alters musculoskeletal structure and function, affecting muscle mass, composition, and strength, increasing the risk of falls and loss of independence in older adults. This study assessed cross-sectional area (CSA) and fat infiltration (FI) of six thigh muscles through a validated deep learning model. Gender differences and correlations between fat, muscle parameters, and age were also analyzed.

Authors

  • Sara Bizzozero
    IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
  • Tito Bassani
    Laboratory of Biological Structures Mechanics, IRCCS Istituto Ortopedico Galeazzi, Via Galeazzi 4, 20161, Milan, Italy.
  • Luca Maria Sconfienza
    Unit of Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
  • Carmelo Messina
    Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, Milano, Italy; IRCCS Istituto Ortopedico Galeazzi, Milano, Italy.
  • Matteo Bonato
    IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
  • Cecilia Inzaghi
    IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
  • Federica Marmondi
    Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal Child Health, Università degli Studi di Genova, Genoa, Italy.
  • Paola Cinque
    Unit of Infectious Diseases and Unit of Neurovirology, IRCCS San Raffaele Scientific Institute, Milan, Italy.
  • Giuseppe Banfi
    IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
  • Stefano Borghi
    IRCCS Istituto Ortopedico Galeazzi, Milan, Italy. stefano.borghi@grupposandonato.it.

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