ORIGINAL ARTICLES
CHEN Shuai, GAO Chao, YU Yanfeng, XU Chao, XIE Shengyu, ZHANG Lianhe
Objective To analyze the MRI-based assessment of the correlation between glenohumeral joint anatomy and Bankart lesion in males. Methods A total of 120 patients diagnosed with Bankart lesion at Zhejiang Provincial Corps Hospital of Chinese People's Armed Police Force from May 2021 to May 2025 were selected as the study group. Through the medical imaging management system (PACS) and electronic medical record system, another 120 patients who visited the hospital due to shoulder joint discomfort during the same period were selected as the control group, excluding those with previous shoulder joint dislocation, surgery, or trauma history. Both groups underwent MRI examination. The MRI imaging features of Bankart lesions were observed and analyzed. The width and height of glenoid, the width and height of humeral head, the ratio of the width and height of glenoid, and the rate of glenohumeral dislocation were measured and compared between the two groups. Logistic regression analysis was used to evaluate the high-risk factors of Bankart lesion of the shoulder joint, and the receiver operating characteristic (ROC) curve was used to assess the predictive value of related indicators. Results Bankart lesions showed irregular, blunt or missing labrum morphology on MRI images, T2WI showed high signal intensity in labrum and glenoid articular surface separation, accompanied by Hill-Sachs fracture of the humeral head. There was no statistically significant difference in the height and width of the glenoid fossa and humeral head width between the two groups (P＞0.05), The width and surface area of the glenoid of the study group were smaller than those of the control group, while the ratio of the height to width of the glenoid and the rate of glenohumeral mismatch were greater than those of the control group, with statistically significant differences (P<0.05). Age, BMI index, glenoid height and humeral head width were not risk factors for Bankart lesion of the shoulder joint, while the glenoid width, the ratio of glenoid height to width and the rate of glenohumeral dislocation were risk factors (P<0.05). Glenoid height-to-width ratio (OR=243.69,95%CI:13.17~4508.72) was an independent risk factor for Bankart lesion. The area under the curve (AUC) of glenoid height-to-width ratio predicting Bankart lesion was 0.72, with an optimal cut-off value of 1.60, sensitivity of 71.67%, and specificity of 54.17%. Conclusions MRI can accurately display glenoid labrum lesion of shoulder joint and is a reliable method to diagnose the lesion. A larger glenoid height-to-width ratio is an important risk factor for anterior instability of shoulder joint in males.
