Valentina Mazzoli

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Articles (8)

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Due to its exceptional sensitivity to soft tissues, MRI has been extensively utilized to assess anatomical muscle parameters such as muscle volume and cross‐sectional area. Quantitative Magnetic Resonance Imaging (qMRI) adds to the capabilities of MRI, by providing information on muscle composition such as fat content, water content, microstructure, hypertrophy, atrophy, as well as muscle architecture. In addition to compositional changes, qMRI can also be used to assess function for example by measuring muscle quality or through characterization of muscle deformation during passive lengthening/shortening and active contractions. The overall aim of this review is to provide an updated overview of qMRI techniques that can quantitatively evaluate muscle structure and composition, provide insights into the underlying biological basis of the qMRI signal, and illustrate how qMRI biomarkers of muscle health relate to function in healthy and diseased/injured muscles. While some applications still require systematic clinical validation, qMRI is now established as a comprehensive technique, that can be used to characterize a wide variety of structural and compositional changes in healthy and diseased skeletal muscle. Taken together, multiparametric muscle MRI holds great potential in the diagnosis and monitoring of muscle conditions in research and clinical applications. Evidence Level 5 Technical Efficacy Stage 2

Year:

2023

Year:

2023

Year:

2021

Year:

2021

Collaborators (10)

Elka Rubin

Research Professional

Stanford University Medical Center

UNITED STATES
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Andrew Schmidt

Stanford University

UNITED STATES
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Nian Wang

Assistant Professor

Indiana State University

UNITED STATES
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Olaf Dietrich

Ruprecht Karls Universität Heidelberg

GERMANY
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Andrew M. Blamire

-

UNITED KINGDOM
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Lara Schlaffke

-

GERMANY
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Hermien E. Kan

-

NETHERLANDS
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Jurriaan de Groot

Assistant professor

Leiden University Medical Center

NETHERLANDS
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James MacKay

University of East Anglia

UNITED KINGDOM
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Feliks Kogan

Assistant Professor

Stanford University

UNITED STATES
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