刘伟杰,闫玉梅,侯秀昆,张至柔,李晓玉.多模态超声评估腕管综合征严重程度[J].中国医学影像技术,2025,41(12):2045~2049
多模态超声评估腕管综合征严重程度
Multimodal ultrasound for evaluating severity of carpal tunnel syndrome
投稿时间:2025-04-10  修订日期:2025-11-16
DOI:10.13929/j.issn.1003-3289.2025.12.023
中文关键词:  腕管综合征  超声检查
英文关键词:carpal tunnel syndrome  ultrasonography
基金项目:
作者单位E-mail
刘伟杰 大连医科大学附属第一医院超声科, 辽宁 大连 116011  
闫玉梅 大连医科大学附属第一医院超声科, 辽宁 大连 116011 ymyan1980@163.com 
侯秀昆 大连医科大学附属第一医院超声科, 辽宁 大连 116011  
张至柔 大连医科大学附属第一医院超声科, 辽宁 大连 116011  
李晓玉 大连医科大学附属第一医院超声科, 辽宁 大连 116011  
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中文摘要:
      目的 观察多模态超声评估腕管综合征(CTS)严重程度的价值。方法 回顾性纳入60例确诊CTS患者,根据电诊断测试结果将其分为轻(n=13)、中(n=17)及重度组(n=30)。对正中神经行剪切波弹性成像、超微血管成像和灰阶超声检查,以单因素方差分析比较各组超声参数;将差异有统计学意义(P<0.05)的参数纳入多因素logistic回归分析,通过逐步回归构建分级诊断CTS模型,观察其鉴别重度CTS的效能。结果 基于腕管入口处纵轴血管指数(L-VI)、正中神经腕管入口处横截面积(CSA-I)及腕-前臂横截面积差值(△CSA)均可用于诊断重度CTS;联合患者年龄和CSA-I构建的联合模型鉴别重度CTS的特异度为86.67%。结论 L-VI、CSA-I和△CSA均能用于鉴别重度CTS;基于年龄和CSA-I的联合模型可进一步提高鉴别重度CTS效能。
英文摘要:
      Objective To observe the value of multimodal ultrasound for evaluating severity of carpal tunnel syndrome (CTS). Methods A total of 60 patients with CTS were retrospectively enrolled and divided into mild group (n=13), moderate group (n=17) and severe group (n=30) based on results of electrodiagnostic testing. Shear wave elastography, superb microvascular imaging and gray-scale ultrasonography of median nerve were performed. The ultrasonic parameters were compared among groups using univariate analysis of variance, and those being statistically different (P<0.05 ) were enrolled in multivariate logistic regression analysis. Then a CTS grading diagnostic model was constructed with stepwise regression, and its efficacy for evaluating severe CTS was analyzed. Results Longitudinal vascular index (L-VI) at the entrance of carpal tunnel, cross-sectional area at the tunnel inlet (CSA-I) of median nerve and the difference of cross-sectional area between the wrist and forearm (△CSA) could be used to differentiate severe CTS. A combined model was constructed based on patient's age and CSA-I, which achieved a specificity of 86.67%. Conclusion L-VI, CSA-I and △CSA could be used to identify severe CTS. The combined model based on patient's age and CSA-I could improve efficacy for evaluating severe CTS.
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