Department of Orthopedics and Traumatology, Ankara City Hospital, Ankara, Turkey
Department of Orthopedics and Traumatology, Kırıkkale Training and Research Hospital, Kırıkkale, Turkey
Curr Med Imaging. 2024;20:e260423216209. doi: 10.2174/1573405620666230426141113.
The etiology of rotator cuff tears (RCTs) have been investigated for years and many underlying causes have been identified. Shoulder joint morphology is one of the extrinsic causes of RCTs.
Morphometric measurements on MRI sections determined which parameters are an important indicator of RCT in patients with shoulder pain. The aim of this study was to determine the risk factors in the etiology of RCTs by evaluating the shoulder joint morphology with the help of previously defined radiological parameters.
Between January 2019-December 2020, 408 patients (40-70 years old) who underwent shoulder MRI and met the criteria were included in the study. There were 202 patients in the RCT group and 206 patients in the control group. Acromion type, acromial index (AI), critical shoulder angle (CSA), acromiohumeral distance (AHD), lateral acromial angle (LAA), acromial angulation (AA), acromion-greater tuberosity impingement index (ATI), and glenoid version angle (GVA) were measured from the MRI images of the patients.
AI (0.64 vs. 0.60, p = 0.003) CSA (35.3° vs. 32.4°, p = 0.004), ATI (0.91 vs. 0.83, P < 0.001), and AA (13.6° vs. 11.9°, p = 0.011) values were higher in the RCT group than in the control group and the difference was significant. AHD (8.1 mm vs. 9.9 mm, P < 0.001), LAA (77.2° vs. 80.9°, p = 0.004) and GVA (-3.9° vs. -2.5°, P < 0.001) values were lower in the RCT group than in the control group, and again the difference was significant. According to the receiver operating characteristic curve analysis, the cutoff values were 0.623 for AI and 0.860 for ATI.
Acromion type, AI, CSA, AHD, LAA, AA, ATI, and GVA are suitable radiological parameters to evaluate shoulder joint morphology. High AI, CSA, AA, ATI, GVA and low AHD and LAA are risk factors for RCT.
肩袖撕裂(RCTs)的病因多年来一直受到研究,许多潜在的原因已经被确定。肩关节形态是 RCTs 的外在原因之一。
通过 MRI 切片的形态测量确定哪些参数是肩部疼痛患者发生 RCT 的重要指标。本研究的目的是通过评估先前定义的影像学参数来确定 RCT 病因中的危险因素。
2019 年 1 月至 2020 年 12 月,纳入符合条件的 408 名(40-70 岁)接受肩部 MRI 检查的患者进行研究。RCT 组 202 例,对照组 206 例。从患者的 MRI 图像中测量肩峰形态、肩峰指数(AI)、临界肩角(CSA)、肩峰肱骨头距离(AHD)、外侧肩峰角(LAA)、肩峰角(AA)、肩峰-大结节撞击指数(ATI)和关节盂版本角(GVA)。
RCT 组的 AI(0.64 比 0.60,p = 0.003)、CSA(35.3°比 32.4°,p = 0.004)、ATI(0.91 比 0.83,P < 0.001)和 AA(13.6°比 11.9°,p = 0.011)值高于对照组,差异有统计学意义。RCT 组 AHD(8.1mm 比 9.9mm,P < 0.001)、LAA(77.2°比 80.9°,p = 0.004)和 GVA(-3.9°比-2.5°,P < 0.001)值低于对照组,差异有统计学意义。根据受试者工作特征曲线分析,AI 的截断值为 0.623,ATI 的截断值为 0.860。
肩峰形态、AI、CSA、AHD、LAA、AA、ATI 和 GVA 是评估肩关节形态的合适影像学参数。高 AI、CSA、AA、ATI、GVA 和低 AHD、LAA 是 RCT 的危险因素。