The Role of Muscle Density in Predicting the Amputation Risk in Peripheral Arterial Disease: A Tissue Composition...

Area of Science:

• Vascular Medicine
• Radiology
• Body Composition Analysis

Background:

• Peripheral arterial disease (PAD) is a prevalent vascular condition where amputation is a significant complication.
• Risk prediction for PAD often considers muscle volume and vascular severity, but the prognostic role of muscle density is less understood.

Purpose of the Study:

• To investigate the prognostic value of muscle density (MD) as a predictor of amputation risk in patients with peripheral arterial disease (PAD).
• To explore the association between muscle density, muscle volume, intermuscular adipose tissue (IMAT), and vascular severity in different PAD severity groups.

Main Methods:

• Retrospective analysis of 134 patients who underwent lower-limb computed tomography angiography.
• Quantification of muscle density, muscle volume, IMAT, and vascular severity scores using deep learning software.
• Multivariate Cox regression analysis to assess the independent association of muscle density with amputation risk, adjusting for confounders.

Main Results:

• Patients with PAD, particularly critical limb ischemia (CLI), exhibited lower muscle volumes, lower muscle densities, and higher IMAT percentages compared to non-PAD individuals.
• Lower muscle density in the abdomen, thigh, and lower leg were independently associated with an increased risk of amputation.
• Muscle density emerged as a significant predictor of amputation risk, even after adjusting for demographics and comorbidities.

Conclusions:

• Muscle density, reflecting muscle quality, is an independent predictor of amputation risk in PAD patients.
• These findings underscore the prognostic importance of muscle quality in PAD.
• Integration of automated CTA-based body composition analysis, including muscle density, can enhance risk stratification for PAD patients.