Vol 15: Visual MRI Grading System to Evaluate Atrophy of the Supraspinatus Muscle.Report as inadecuate



 Vol 15: Visual MRI Grading System to Evaluate Atrophy of the Supraspinatus Muscle.


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This article is from Korean Journal of Radiology, volume 15.AbstractObjective: To investigate the interobserver reproducibility and diagnostic feasibility of a visual grading system for assessing atrophy of the supraspinatus muscle on magnetic resonance imaging MRI. Materials and Methods: Three independent radiologists retrospectively evaluated the occupying ratio of the supraspinatus muscle in the supraspinatus fossa on 192 shoulder MRI examinations in 188 patients using a 3-point visual grading system 1, ≥ 60%; 2, 30-59%; 3, 30% on oblique sagittal T1-weighted images. The inter-reader agreement and the agreement with the reference standard 3-point grades according to absolute occupying ratio values quantitatively measured by directly contouring the muscles on MRI were analyzed using weighted kappa. The visual grading was applied by a single reader to a group of 100 consecutive patients who had undergone rotator cuff repair to retrospectively determine the association between the visual grades at preoperative state and postsurgical occurrences of retear. Results: The inter-reader weighted kappa value for the visual grading was 0.74 when averaged across three reader pairs 0.70-0.77 for individual reader pairs. The weighted kappa value between the visual grading and the reference standard ranged from 0.75 to 0.83. There was a significant difference in retear rates of the rotator cuff between the 3 visual grades of supraspinatus muscle atrophy on MRI in univariable analysis p 0.001, but not in multivariable analysis p = 0.026. Conclusion: The 3-point visual grading system may be a feasible method to assess the severity of supraspinatus muscle atrophy on MRI and assist in the clinical management of patients with rotator cuff tear.



Author: Lim, Hyun Kyong; Hong, Sung Hwan; Yoo, Hye Jin; Choi, Ja-Young; Kim, Sae Hoon; Choi, Jung-Ah; Kang, Heung Sik

Source: https://archive.org/







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