Ultrasound predicts lower limb muscle fat; 12-week resistance exercise raised strength without changing fat fraction
Investigators developed an ultrasound prediction equation for fat fraction in lower limb muscles and applied it within a randomised controlled trial examining the relationship between fat fraction and strength in exercising and non-exercising females. Validation was performed against T1-weighted MRI-Dixon fat fraction in the gastrocnemius medialis (GM) and vastus lateralis (VL), with H-magnetic resonance spectroscopy used for intramyocellular and extramyocellular lipid content in GM.
Twenty-eight participants contributed to the validation cohort, split into a <40 years group (10m, 5f, age 28.9 ± 5.3 years, BMI 23.6 ± 2.3 kg m) and a >50 years group (8m, 5f, age 60.4 ± 5.7 years, BMI 24.8 ± 3.6 kg m). Multiple linear regression models for ultrasound-derived fat fraction were validated for GM (r = 0.71) and VL (r = 0.91). Subcutaneous fat thickness (SFT) was the dominant predictor in the older group (77% in GM, 92% in VL), while SFT and echointensity contributed near-equally in the younger group (52% in GM, 51% in VL).
For the RCT, 72 females aged 40-60 years were allocated to either low impact resistance exercise (4-5 sessions/week for 12 weeks) or a control group, with muscle strength assessed by isokinetic dynamometry. Strength was negatively correlated with fat fraction (r = -0.44). Strength increased in the exercising group, but fat fraction remained unchanged.
The abstract does not report adverse events, tolerability, or formal limitations. The authors conclude that a multivariable ultrasound model using SFT, muscle thickness, echointensity and age can predict lower limb muscle fat infiltration, supporting ultrasound as a feasible imaging alternative to MRI in this context.