title: NMR imaging estimates of muscle volume and intramuscular fat infiltration in the thigh: variations with muscle, gender, and age.
abstract: Muscle mass is particularly relevant to follow during aging, owing to its link with physical performance and autonomy. The objectives of this work were to assess muscle volume (MV) and intramuscular fat (IMF) for all the muscles of the thigh in a large population of young and elderly healthy individuals using magnetic resonance imaging (MRI) to test the effect of gender and age on MV and IMF and to determine the best representative slice for the estimation of MV and IMF. The study enrolled 105 healthy young (range 20-30 years) and older (range 70-80 years) subjects. MRI scans were acquired along the femur length using a three-dimension three-point Dixon proton density-weighted gradient echo sequence. MV and IMF were estimated from all the slices. The effects of age and gender on MV and IMF were assessed. Predictive equations for MV and IMF were established using a single slice at various femur levels for each muscle in order to reduce the analysis process. MV was decreased with aging in both genders, particularly in the quadriceps femoris. IMF was largely increased with aging in men and, to a lesser extent, in women. Percentages of MV decrease and IMF increase with aging varied according to the muscle. Predictive equations to predict MV and IMF from single slices are provided and were validated. This study is the first one to provide muscle volume and intramuscular fat infiltration in all the muscles of the thigh in a large population of young and elderly healthy subjects.
authors.affiliation: UPMC UM 76, INSERM U 974, CNRS UMR 7215, Institut de Myologie, GH Pitié-Salpêtrière, Paris, France, jy.hogrel@institut-myologie.org.
authors.forename: Jean-Yves
authors.initials: JY
authors.lastname: Hogrel
authors.forename: Yoann
authors.initials: Y
authors.lastname: Barnouin
authors.forename: Noura
authors.initials: N
authors.lastname: Azzabou
authors.forename: Gillian
authors.initials: G
authors.lastname: Butler-Browne
authors.forename: Thomas
authors.initials: T
authors.lastname: Voit
authors.forename: Amélie
authors.initials: A
authors.lastname: Moraux
authors.forename: Gaëlle
authors.initials: G
authors.lastname: Leroux
authors.forename: Anthony
authors.initials: A
authors.lastname: Behin
authors.forename: Jamie S
authors.initials: JS
authors.lastname: McPhee
authors.forename: Pierre G
authors.initials: PG
authors.lastname: Carlier
mesh_terms: D000273:Adipose Tissue / Q000033:anatomy & histology*; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D064368:Healthy Volunteers; D006801:Humans; D021621:Imaging, Three-Dimensional; D008279:Magnetic Resonance Imaging; D008297:Male; D018482:Muscle, Skeletal / Q000033:anatomy & histology*; D012737:Sex Factors; D013848:Thigh / Q000033:anatomy & histology*