Improved Strength Prediction Combining MRI Biomarkers of Muscle Quantity and Quality.

Valentina Mazzoli, Yael Vainberg, Mary E Hall, Marco Barbieri, Jessica Asay, Julie Muccini, Jarret Rosenberg, Feliks Kogan, Scott Delp, Garry E Gold

Department of Radiology, Stanford University, Stanford, California, USA.Department of Radiology, Stanford University, Stanford, California, USA. · pubmed

Paper

Abstract

Muscle strength declines with aging at a faster rate compared with muscle mass, suggesting that not only muscle quantity but also muscle quality and architecture are age-dependent. This study tested the hypothesis that quantitative MRI (qMRI)-derived biomarkers of muscle quality (fractional anisotropy [FA], radial diffusivity [RD], axial diffusivity [AD], fat fraction [FF], and T

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Research summary

The paper claims that combining MRI-derived biomarkers can improve predictions of muscle strength in aging individuals. This research is relevant as it addresses the decline in muscle strength associated with aging, focusing on both muscle quantity and quality, which are critical factors in longevity and age-related health.

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