4.5 Article

Quantitative Analysis of Three-Dimensional Distribution and Clustering of Intramuscular Fat in Muscles of the Rotator Cuff

Journal

ANNALS OF BIOMEDICAL ENGINEERING
Volume 44, Issue 7, Pages 2158-2167

Publisher

SPRINGER
DOI: 10.1007/s10439-015-1488-z

Keywords

Rotator cuff tear; Spatial characteristics of fat; MRI; Moran's Index; Fat percentage

Funding

  1. Wake Forest University Claude D. Pepper Older Americans Independence Center [P30 AG021332]
  2. National Science Foundation [1405246]
  3. National Institute on Aging of the National Institutes of Health [F31 AG040921]
  4. Wake Forest University Center for Biomolecular Imaging
  5. Wake Forest School of Medicine Translational Science Institue Clinical Research Unit
  6. Div Of Chem, Bioeng, Env, & Transp Sys
  7. Directorate For Engineering [1405246] Funding Source: National Science Foundation

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The purpose of this study was to (1) develop and present a technique to quantitatively assess three-dimensional distribution and clustering of intramuscular fat and (2) use the technique to compare spatial characteristics of intramuscular fat in rotator cuff muscles of older adults with and without a supraspinatus tear. Moran's Index (I), an existing quantitative measure of clustering, was extended for use with MRI to allow comparisons across individuals with different size muscles. Sixteen older adults (> 60 years) with (N = 6) and without (N = 10) a degenerative supraspinatus tear participated. Following 3D Dixon MRIs of the shoulder, which separates fat from water, rotator cuff muscles were segmented and sectioned and fat% and Moran's I were calculated to assess distribution and clustering, respectively. Moran's I ranged was 0.40-0.92 and 0.39-0.76 for the tear and control subjects, respectively. Compared to uninjured controls, tear subjects demonstrated increased fat distribution (p = 0.036) and clustering (p = 0.020) distally in the supraspinatus. Tear subjects had more pronounced distribution (p < 0.001) and clustering distally (p < 0.001) than proximally. Other rotator cuff muscles exhibited different patterns of fat clustering and distribution. This technique, which we applied to quantify spatial characteristics of intramuscular fat, can be applied to assess clustering of fat in other pathologies and tissues.

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