@article{ReichelHerzelTabbakhetal.2021, author = {Reichel, Thomas and Herz, Stefan and el Tabbakh, Mohammed and Bley, Thorsten Alexander and Plumhoff, Piet and Rueckl, Kilian}, title = {Less than 9.5-mm coracohumeral distance on axial magnetic resonance imaging scans predicts for subscapularis tear}, series = {JSES International}, volume = {5}, journal = {JSES International}, number = {3}, doi = {10.1016/j.jseint.2021.01.014}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-259118}, pages = {424-429}, year = {2021}, abstract = {Background Diagnosis of subscapularis (SSC) tendon lesions on magnetic resonance imaging (MRI) can be challenging. A small coracohumeral distance (CHD) has been associated with SSC tears. This study was designed to define a specific threshold value for CHD to predict SSC tears on axial MRI scans. Methods This retrospective study included 172 shoulders of 168 patients who underwent arthroscopic surgery for rotator cuff tear or glenohumeral instability. Diagnostic arthroscopy confirmed an SSC tear in 62 cases (36.0\%, test group a), rotator cuff tear tears other than SSC in 71 cases (41.3\%, control group b) and glenohumeral instability without any rotator cuff tear in 39 cases (22.7\%, zero-sample group c). All patients had a preoperative MRI of the shoulder (1.5T or 3T). Minimum CHD was measured on axial fat-suppressed proton density-, T2-, or T1-weigthed sequences. Receiver operating characteristics analysis was used to determine the threshold value for CHD, and sensitivity and specificity were calculated. Results CHD measurement had a good interobserver reliability (Intraclass correlation coefficient 0.799). Mean CHD was highly significantly (P < .001) less for test group a (mean 7.3 mm, standard deviation ± 2.2) compared with control group b (mean 11.1 mm, standard deviation ± 2.3) or zero-sample group c (mean 13.6 mm, standard deviation ± 2.9). A threshold value of CHD <9.5 mm had a sensitivity of 83.6\% and a specificity of 83.9\% to predict SSC tears. Conclusion A CHD <9.5 mm on MRI is predictive of SSC lesions and a valuable tool to diagnose SSC tears.}, language = {en} }