Autor: |
Lara Riem, Silvia S. Blemker, Olivia DuCharme, Elizabeth B. Leitch, Matthew Cousins, Ivan J. Antosh, Mikalyn Defoor, Andrew J. Sheean, Brian C. Werner |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
Scientific Reports, Vol 13, Iss 1, Pp 1-13 (2023) |
Druh dokumentu: |
article |
ISSN: |
2045-2322 |
DOI: |
10.1038/s41598-023-41599-z |
Popis: |
Abstract Objective analysis of rotator cuff (RC) atrophy and fatty infiltration (FI) from clinical MRI is limited by qualitative measures and variation in scapular coverage. The goals of this study were to: develop/evaluate a method to quantify RC muscle size, atrophy, and FI from clinical MRIs (with typical lateral only coverage) and then quantify the effects of age and sex on RC muscle. To develop the method, 47 full scapula coverage CTs with matching clinical MRIs were used to: correct for variation in scan capture, and ensure impactful information of the RC is measured. Utilizing this methodology and automated artificial intelligence, 170 healthy clinical shoulder MRIs of varying age and sex were segmented, and each RC muscle’s size, relative contribution, and FI as a function of scapula location were quantified. A two-way ANOVA was used to examine the effect of age and sex on RC musculature. The analysis revealed significant (p |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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