Quantification of shoulder muscle intramuscular fatty infiltration on T1-weighted MRI: a viable alternative to the Goutallier classification system
| Autor: | Mohit N. Gilotra, Thomas Kesler, Ranyah Almardawi, Rao P. Gullapalli, Derik L. Davis, Jiachen Zhuo, Syed Ashfaq Hasan |
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| Rok vydání: | 2018 |
| Předmět: |
Adult
Male Article 030218 nuclear medicine & medical imaging Rotator Cuff Injuries 03 medical and health sciences Rotator Cuff 0302 clinical medicine T1 weighted Medicine Humans Radiology Nuclear Medicine and imaging Segmentation Rotator cuff In patient Prospective Studies Aged 030203 arthritis & rheumatology business.industry Reproducibility of Results Shoulder muscle Middle Aged Magnetic Resonance Imaging Sagittal plane medicine.anatomical_structure Cross-Sectional Studies Adipose Tissue Female Fatty infiltration Intramuscular fat business Nuclear medicine Software |
| Zdroj: | Skeletal radiology. 48(4) |
| ISSN: | 1432-2161 |
| Popis: | PURPOSE: 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. MATERIALS AND METHODS: 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. RESULTS: 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. CONCLUSION: 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. |
| Databáze: | OpenAIRE |
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