Suppr超能文献

棒球投手的尺侧副韧带损伤:磁共振成像评估

Ulnar collateral ligament injury in baseball pitchers: MR imaging evaluation.

作者信息

Mirowitz S A, London S L

机构信息

Department of Radiology, Jewish Hospital at Washington University Medical Center, Washington University School of Medicine, St Louis, MO 63110.

出版信息

Radiology. 1992 Nov;185(2):573-6. doi: 10.1148/radiology.185.2.1410375.

Abstract

The ulnar collateral ligament (UCL) provides stability to the medial aspect of the elbow during valgus stress. Trauma to this ligament may result from repetitive forceful throwing. Diagnosis of UCL injury has been based on clinical findings of medial joint pain and valgus instability, as direct imaging of this structure has not been available. Eleven baseball pitchers with clinical evidence of UCL injury were evaluated with magnetic resonance (MR) imaging. Surgical correlation was obtained in six patients, four of whom underwent UCL reconstruction. MR imaging findings in UCL injury included laxity, irregularity, poor definition, and increased signal intensity within and adjacent to the UCL. These findings reflect the presence of hemorrhage and/or edema within the UCL due to repeated microtears, which eventually lead to weakening and possible disruption of the UCL. Optimization of spatial resolution, signal-to-noise ratio, and other technical factors is critical for evaluation of the UCL due to its small size. MR imaging is useful in documenting the presence and severity of injury to the UCL and in distinguishing this entity from other causes of elbow pain.

摘要

尺侧副韧带(UCL)在肘关节外翻应力期间为其内侧提供稳定性。该韧带的损伤可能源于反复用力投掷。由于无法对该结构进行直接成像,UCL损伤的诊断一直基于内侧关节疼痛和外翻不稳定的临床发现。对11名有UCL损伤临床证据的棒球投手进行了磁共振(MR)成像评估。6名患者获得了手术相关性,其中4名接受了UCL重建。UCL损伤的MR成像表现包括韧带松弛、不规则、边界不清以及UCL内部及其邻近区域信号强度增加。这些表现反映了由于反复微撕裂导致UCL内存在出血和/或水肿,最终导致UCL变弱并可能断裂。由于UCL尺寸较小,优化空间分辨率、信噪比和其他技术因素对于评估UCL至关重要。MR成像有助于记录UCL损伤的存在和严重程度,并将该病症与其他引起肘部疼痛的原因区分开来。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验