Urita Atsushi, Funakoshi Tadanao, Amano Toraji, Matsui Yuichiro, Kawamura Daisuke, Kameda Yusuke, Iwasaki Norimasa
Department of Orthopaedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
Department of Orthopaedic Surgery, Hokkaido University Graduate School of Medicine, Sapporo, Japan.
J Shoulder Elbow Surg. 2016 Mar;25(3):384-9. doi: 10.1016/j.jse.2015.12.015.
Disorders of the long head of the biceps (LHB) tendon contribute to anterior shoulder pain. Although LHB tendon disorders are associated with rotator cuff disease, distinguishing between biceps and rotator cuff pathology is difficult. The objective was to identify the predictors of LHB tendon disorders associated with a supraspinatus tear.
In 55 patients (average age, 65 years) undergoing arthroscopic rotator cuff repair, bicipital groove morphology were assessed using computed tomography, and subscapularis tear and bicipital groove effusion were assessed using magnetic resonance imaging, retrospectively. The LHB tendon was evaluated arthroscopically according to the Lafosse classification. Univariate and multivariate ordinal logistic regression analyses were conducted for injury grade with all covariates.
The arthroscopic evaluation of the LHB tendon showed that there were 23 shoulders classified as grade 0, 15 as grade 1, and 17 as grade 2. Univariate logistic regression analysis showed that the width and depth, a medial spur of the bicipital groove, and a subscapularis tear were significantly associated with LHB tendon disorders. Multivariate ordinal logistic regression analysis identified a medial spur and subscapularis tear as significant predictors of LHB tendon disorders.
The preoperative computed tomography and magnetic resonance images, notably the presence of a spur on the bicipital groove or a subscapularis tear, were useful for identifying LHB tendon disorders. When these are found in preoperative images, the clinician should evaluate the patient for the presence of an LHB tendon disorder as a pain generator.
肱二头肌长头(LHB)肌腱疾病会导致肩部前方疼痛。尽管LHB肌腱疾病与肩袖疾病相关,但区分肱二头肌和肩袖病变较为困难。目的是确定与冈上肌撕裂相关的LHB肌腱疾病的预测因素。
对55例(平均年龄65岁)接受关节镜下肩袖修复的患者,回顾性地使用计算机断层扫描评估肱二头肌沟形态,使用磁共振成像评估肩胛下肌撕裂和肱二头肌沟积液。根据Lafosse分类法对LHB肌腱进行关节镜评估。对所有协变量的损伤分级进行单变量和多变量有序逻辑回归分析。
LHB肌腱的关节镜评估显示,23个肩关节分类为0级,15个为1级,17个为2级。单变量逻辑回归分析显示,肱二头肌沟的宽度和深度、内侧骨刺以及肩胛下肌撕裂与LHB肌腱疾病显著相关。多变量有序逻辑回归分析确定内侧骨刺和肩胛下肌撕裂是LHB肌腱疾病的重要预测因素。
术前计算机断层扫描和磁共振图像,特别是肱二头肌沟有骨刺或肩胛下肌撕裂,有助于识别LHB肌腱疾病。当术前图像中发现这些情况时,临床医生应评估患者是否存在作为疼痛根源的LHB肌腱疾病。