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MuscleMap: An Open-Source, Community-Supported Consortium for Whole-Body Quantitative MRI of Muscle

Authors :
Marnee J. McKay
Kenneth A. Weber
Evert O. Wesselink
Zachary A. Smith
Rebecca Abbott
David B. Anderson
Claire E. Ashton-James
John Atyeo
Aaron J. Beach
Joshua Burns
Stephen Clarke
Natalie J. Collins
Michel W. Coppieters
Jon Cornwall
Rebecca J. Crawford
Enrico De Martino
Adam G. Dunn
Jillian P. Eyles
Henry J. Feng
Maryse Fortin
Melinda M. Franettovich Smith
Graham Galloway
Ziba Gandomkar
Sarah Glastras
Luke A. Henderson
Julie A. Hides
Claire E. Hiller
Sarah N. Hilmer
Mark A. Hoggarth
Brian Kim
Navneet Lal
Laura LaPorta
John S. Magnussen
Sarah Maloney
Lyn March
Andrea G. Nackley
Shaun P. O’Leary
Anneli Peolsson
Zuzana Perraton
Annelies L. Pool-Goudzwaard
Margaret Schnitzler
Amee L. Seitz
Adam I. Semciw
Philip W. Sheard
Andrew C. Smith
Suzanne J. Snodgrass
Justin Sullivan
Vienna Tran
Stephanie Valentin
David M. Walton
Laurelie R. Wishart
James M. Elliott
Source :
Journal of Imaging, Vol 10, Iss 11, p 262 (2024)
Publication Year :
2024
Publisher :
MDPI AG, 2024.

Abstract

Disorders affecting the neurological and musculoskeletal systems represent international health priorities. A significant impediment to progress in trials of new therapies is the absence of responsive, objective, and valid outcome measures sensitive to early disease changes. A key finding in individuals with neuromuscular and musculoskeletal disorders is the compositional changes to muscles, evinced by the expression of fatty infiltrates. Quantification of skeletal muscle composition by MRI has emerged as a sensitive marker for the severity of these disorders; however, little is known about the composition of healthy muscles across the lifespan. Knowledge of what is ‘typical’ age-related muscle composition is essential to accurately identify and evaluate what is ‘atypical’. This innovative project, known as the MuscleMap, will achieve the first important steps towards establishing a world-first, normative reference MRI dataset of skeletal muscle composition with the potential to provide valuable insights into various diseases and disorders, ultimately improving patient care and advancing research in the field.

Details

Language :
English
ISSN :
2313433X
Volume :
10
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Journal of Imaging
Publication Type :
Academic Journal
Accession number :
edsdoj.9a1979e8204446ffbeef6466585768a7
Document Type :
article
Full Text :
https://doi.org/10.3390/jimaging10110262