Investigating the relationship between quantitative‐based ultrasound and MRI estimations of rotator cuff fatty infiltration

Author:

Mahna Alexandra1,Boulanger Stephen M.1ORCID,Gatti Anthony A.23,Alenabi Talia4,Ku Austin1,Hynes Loriann M.1,Chopp‐Hurley Jaclyn N.1ORCID

Affiliation:

1. School of Kinesiology and Health Science York University Toronto Ontario Canada

2. Department of Radiology Stanford University Stanford California USA

3. NeuralSeg Ltd. Hamilton Ontario Canada

4. Department of Kinesiology University of Waterloo Waterloo Ontario Canada

Abstract

AbstractIntroductionFatty infiltration (FI) of the rotator cuff has important clinical implications. Quantitatively estimating FI using ultrasound (US) has considerable benefits for assessing FI in a non‐invasive, accessible manner. This research investigated whether FI of the supraspinatus (SS) and infraspinatus (IS), estimated using US was related to intramuscular fat fractions measured from magnetic resonance images (MRI).MethodsData from 12 healthy young adult participants were used for analysis. US images of the SS and IS were captured using multiple transducer placement techniques from which echogenicity of the muscle region was quantified. Shoulder MRI were captured from which SS and IS were manually segmented and intramuscular fat fractions calculated. Six upper limb strength exertions were performed, resisted by a hand dynamometer.ResultsIS and SS echogenicity explained a significant amount of variance in MRI fat fractions for certain body positions and transducer techniques. Echogenicity agreement was higher for IS than SS. Significant relationships were identified between strength exertions and both echogenicity and MRI muscle volume, but not MRI fat fraction.ConclusionsThis research provides preliminary evidence showing that quantitative‐based US methods can be used to estimate MRI calculated fat fractions for the rotator cuff.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

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