Quantitative Analysis of Three-Dimensional Distribution and Clustering of Intramuscular Fat in Muscles of the Rotator Cuff.
Quantitative Analysis of Three-Dimensional Distribution and Clustering of Intramuscular Fat in Muscles of the Rotator Cuff.
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DOI：
10.1007/s10439-015-1488-z
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发表时间：
2016-07
影响因子：
3.8
通讯作者：
Saul KR
中科院分区：
文献类型：
--
作者：
Santago AC 2nd;Vidt ME;Tuohy CJ;Poehling GG;Freehill MT;Jordan JH;Kraft RA;Saul KR
本研究的目的是：1）开发并提供一种技术，以定量评估肌内脂肪的三维分布和聚类，2）使用该技术比较有和没有冈上肌撕裂的老年人肩袖肌肉中肌内脂肪的空间特征。Moran指数（I）是一种现有的聚类定量测量方法，它被扩展用于MRI，以允许对具有不同大小肌肉的个体进行比较。16名患有（N=6）和未患有（N=10）退行性冈上肌撕裂的老年人（> 60岁）参与了研究。在肩部的3D狄克逊MRI（将脂肪与水分离）后，对肩袖肌肉进行分段和切片，并计算脂肪%和Moran's I，以分别评估分布和聚类。撕裂组和对照组的Moran's I范围分别为0.40-0.92和0.39-0.76。与未受伤的对照组相比，撕裂受试者表现出冈上肌远端脂肪分布增加（p=0.036）和聚集（p=0.020）。泪液受试者的分布（p<0.001）和远端聚集（p<0.001）比近端更明显。其他肩袖肌肉表现出不同的脂肪聚集和分布模式。我们应用于量化肌内脂肪的空间特征的这种技术，可以应用于评估其他病理和组织中的脂肪聚集。
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 (>60yrs) 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.