In a cross-sectional study of 120 outpatients with diabetes—79.2% with Type 2 Diabetes (T2DM)—AI-assisted rectus femoris ultrasound found that patients in the highest intramuscular fat quartile had more diabetic nephropathy than those in lower quartiles (44.0% vs. 14.7%, p=0.001). Intramuscular fat remained independently associated with nephropathy (OR 6.01, 95% CI 1.99-18.14), suggesting a simple imaging biomarker for microvascular risk.

Why It Matters To Your Practice

• AI-assisted muscle ultrasound may offer a non-invasive, accessible way to detect ectopic fat linked to diabetes complications.

• Higher intramuscular fat was associated with worse renal markers, including lower estimated glomerular filtration rate (63.6 vs. 72.8 mL/min/1.73 m2, p=0.045).

• This could help clinicians identify higher-risk patients beyond standard glycemic measures alone.

Clinical Implications

• Consider intramuscular fat assessment as a potential adjunct when evaluating older patients with diabetes and concern for microvascular disease.

• Patients with higher muscle fat may warrant closer screening for diabetic nephropathy and broader cardiometabolic risk.

• The study used the PIIXMED AI system to quantify muscle and fat percentages from rectus femoris ultrasound images.

Insights

• The study included 120 patients, mean age 70.8 years, with diabetes duration of 13.8 years and mean HbA1c of 8.1%.

• Most participants had suboptimal glycemic control, and 57.5% were men.

• Findings support intramuscular fat as a marker of adverse metabolic profile, not just altered body composition.

The Bottom Line

• AI-assisted ultrasound-derived intramuscular fat appears linked to diabetic nephropathy in T2DM-heavy outpatient populations.

• It is promising for risk stratification, but the evidence is cross-sectional and not yet practice-changing.

• Longitudinal, multicenter validation is still needed before routine adoption.