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Ultrasound predicts lower limb muscle fat; 12-week resistance exercise raised strength without changing fat fraction

Ultrasound predicts lower limb muscle fat; 12-week resistance exercise raised strength without chang…
Photo by Francesco Ungaro / Unsplash
Key Takeaway
Consider ultrasound-based SFT, muscle thickness, echointensity and age as a validated model for predicting lower limb muscle fat infiltration.

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.

Study Details

Study typeRct
EvidenceLevel 2
PublishedApr 2026
View Original Abstract ↓
This study developed an ultrasound prediction equation for measuring fat fraction in lower limb muscles of healthy middle-aged and young participants and applied it in a randomised controlled trial (RCT) to assess the relationship between fat fraction and strength in exercising and non-exercising females. Twenty-eight participants were recruited into <40 years (10m, 5f, age 28.9 ± 5.3 years, body mass index (BMI) 23.6 ± 2.3 kg m) and >50 years (8m, 5f, age 60.4 ± 5.7 years, BMI 24.8 ± 3.6 kg m) groups. T1-weighted magnetic resonance imaging (MRI)-Dixon fat fraction in gastrocnemius medialis (GM) and vastus lateralis (VL) and H-magnetic resonance spectroscopy for intramyocellular (IMCL) and extramyocellular (EMCL) lipid content in GM was used to validate ultrasound measures of muscle, subcutaneous fat thickness (SFT) and echointensity to generate a multivariable model of fat infiltration. For the RCT, 72 females aged 40-60 years were recruited to either a low impact resistance exercise (4-5 sessions/week for 12 weeks) or a control group, and muscle strength was tested using isokinetic dynamometry. Multiple linear regression models for ultrasound measurement of fat fraction were validated for GM (r = 0.71) and VL (r = 0.91). SFT was the dominant variable in the older group in GM (77%) and VL (92%), but of near equal proportion, with echointensity, in GM (52%) and VL (51%) in the younger group. Strength was negatively correlated with fat fraction (r = -0.44). Strength increased in the exercising group, but fat fraction remained unchanged. A multivariable model using ultrasound measurements of SFT, muscle thickness, echointensity and age demonstrates that ultrasound is capable of predicting lower limb muscle fat infiltration.
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