Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system.
Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system.
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DOI:
10.1007/s00256-018-3057-7
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发表时间:
2019-04
影响因子:
2.1
通讯作者:
Zhuo J
中科院分区:
文献类型:
--
作者:
Davis DL;Kesler T;Gilotra MN;Almardawi R;Hasan SA;Gullapalli RP;Zhuo J
Quantification of rotator cuff intramuscular fatty infiltration is important for clinical decision making in patients with rotator cuff tear. The semi-quantitative Goutallier classification system is the most commonly used method, but has limited reliability. Therefore, we sought to test a freely available fuzzy C-means segmentation software program (1) for reliability of quantification of shoulder intramuscular fatty infiltration on T1-weighted MR images and (2) for correlation to fat fraction by 6-point Dixon MRI. We performed a prospective cross-sectional study to measure visible intramuscular fat area percentage on oblique sagittal T1 MR images by fuzzy C-means segmentation and fat fraction maps by 6-point Dixon MRI for 42 shoulder muscles. Intra- and inter-observer reliability was determined. Correlative analysis for fuzzy C-means and 6-point Dixon intramuscular fatty infiltration measures was also performed. We found that inter-observer reliability for quantification of visible intramuscular fat area percentage by fuzzy C-means segmentation and fat fraction by 6-point Dixon MRI was 0.947 and 0.951, respectively. The intra-observer reliability for quantification of visible intramuscular fat area percentage by fuzzy C-means segmentation and fat fraction by 6-point Dixon MRI was 0.871 and 0.979, respectively. We found strong correlation between fuzzy C-means segmentation and 6-point Dixon techniques; r = 0.850, p < 0.001 by individual muscle; and r = 0.977, p < 0.002 by study subject. Quantification of intramuscular fatty infiltration by fuzzy C-means segmentation on T1-weighted sequences demonstrates excellent reliability and strong correlation to fat fraction by 6-point Dixon MRI. Quantitative fuzzy C-means segmentation is a viable alternative to the semi-quantitative Goutallier classification system.
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