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INTRAMUSCULAR FAT INFILTRATION EVALUATED BY MAGNETIC RESONANCE IMAGING PREDICTS THE EXTENSIBILITY OF THE SUPRASPINATUS MUSCLE
Mayo Clin, MN 55905 USA.
Mayo Clin, MN USA.
Mayo Clin, MN USA.
Linköping University, Department of Medical and Health Sciences. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Center for Diagnostics, Department of Radiology in Linköping.
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2018 (English)In: Muscle and Nerve, ISSN 0148-639X, E-ISSN 1097-4598, Vol. 57, no 1, p. 129-135Article in journal (Refereed) Published
Abstract [en]

Introduction: Rotator cuff (RC) tears result in muscle atrophy and fat infiltration within the RC muscles. An estimation of muscle quality and deformation, or extensibility, is useful in selecting the most appropriate surgical procedure. We determined if noninvasive quantitative assessment of intramuscular fat using MRI could be used to predict extensibility of the supraspinatus muscle. Methods: Seventeen cadaveric shoulders were imaged to assess intramuscular fat infiltration. Extensibility and histological evaluations were then performed. Results: Quantitative fat infiltration positively correlated with histological findings and presented a positive correlation with muscle extensibility (r=0.69; P=0.002). Extensibility was not significantly different between shoulders graded with a higher fat content versus those with low fat when implementing qualitative methods. Discussion: A noninvasive prediction of whole-muscle extensibility may directly guide pre-operative planning to determine if the torn edge could efficiently cover the original footprint while aiding in postoperative evaluation of RC repair.

Place, publisher, year, edition, pages
WILEY , 2018. Vol. 57, no 1, p. 129-135
Keywords [en]
fat infiltration; muscle extensibility; rotator cuff repair; rotator cuff tear; supraspinatus muscle; tendon retraction
National Category
Sport and Fitness Sciences
Identifiers
URN: urn:nbn:se:liu:diva-143888DOI: 10.1002/mus.25673ISI: 000417762300039PubMedID: 28439938OAI: oai:DiVA.org:liu-143888DiVA, id: diva2:1170085
Note

Funding Agencies|National Institute of Arthritis and Musculoskeletal and Skin Diseases of the National Institutes of Health [R21 AR065550]; Mayo Clinic

Available from: 2018-01-02 Created: 2018-01-02 Last updated: 2018-01-02

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Widholm, PerKarlsson, AnetteDahlqvist Leinhard, Olof
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Department of Medical and Health SciencesFaculty of Medicine and Health SciencesCenter for Medical Image Science and Visualization (CMIV)Department of Radiology in LinköpingDivision of Biomedical EngineeringFaculty of Science & EngineeringDivision of Radiological SciencesDepartment of Radiation Physics
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