University of Montreal, Montreal, Quebec, Canada.
École de Technologie Supérieure, Montreal, Quebec, Canada.
J Shoulder Elbow Surg. 2020 Nov;29(11):2272-2281. doi: 10.1016/j.jse.2020.03.027. Epub 2020 Jun 9.
The magnetic resonance imaging (MRI) parameters used to diagnose rotator cuff tears are weakly correlated to shoulder function. Our hypothesis was that adding 3-dimensional morphologic parameters resulting from biplanar radiographs (3DXR parameters) to the MRI parameters would improve this correlation.
We assessed 52 patients with rotator cuff tears with an EOS Imaging radiographic examination, MRI study, and clinical evaluation of the shoulder, as well as the Constant score. The bones of the 52 shoulders were reconstructed 3-dimensionally, and eleven 3DXR parameters were automatically extracted. First, the trueness and reliability of these parameters were evaluated. Then, bivariate correlations between each parameter and the Constant score were made. A linear regression model was subsequently built to correlate the 11 parameters and 5 MRI findings with shoulder function at diagnosis, as assessed by the Constant score.
The parameters showed good trueness and reliability of most 3DXR parameters. Supraspinatus tear extension, muscle atrophy, and the distance between the greater and deltoid tuberosities were the only parameters with a statistically significant correlation to a lower Constant score (P < .05) in the bivariate study. These correlations were either weak or negligible. A regression model was successfully built with one MRI parameter and four 3DXR parameters. Correlation to function increased from 16.7% to 43.3% with this model.
For patients with rotator cuff tears, the combination of MRI and 3DXR parameters of the shoulder in a linear regression model improves the correlation with the Constant score (shoulder function) at diagnosis.
用于诊断肩袖撕裂的磁共振成像（MRI）参数与肩部功能的相关性较弱。我们的假设是，将双平面射线照相（3DXR）参数产生的三维形态学参数添加到 MRI 参数中会改善这种相关性。
我们对 52 例肩袖撕裂患者进行了 EOS 成像放射检查、MRI 研究和肩部临床评估，以及 Constant 评分。52 个肩部的骨骼进行了三维重建，并自动提取了 11 个 3DXR 参数。首先，评估这些参数的准确性和可靠性。然后，对每个参数与 Constant 评分进行了双变量相关性分析。随后建立了线性回归模型，以将 11 个参数和 5 个 MRI 发现与 Constant 评分（作为肩部功能的评估）相关联。
大多数 3DXR 参数的参数均具有良好的准确性和可靠性。在双变量研究中，肩袖撕裂的延伸、肌肉萎缩以及大结节和三角肌结节之间的距离是唯一与 Constant 评分（P <.05）显著相关的参数。这些相关性要么较弱，要么可以忽略不计。使用一个 MRI 参数和四个 3DXR 参数成功建立了回归模型。该模型的相关性从 16.7%增加到 43.3%。
对于肩袖撕裂患者，MRI 和肩部的 3DXR 参数在线性回归模型中的组合可提高与 Constant 评分（肩部功能）的相关性。
