广西医学2017，Vol.39Issue(8)：1154-1156,3.DOI:10.11675/j.issn.0253-4304.2017.08.13
声辐射力脉冲弹性成像技术在诊断肩部肌筋膜疼痛综合征中的应用价值
Application value of acoustic radiation force impulse elastography in diagnosis of myofascial pain syndrome of shoulder
童仙君 1钱建林 2梁艳 3严振 4李璟3
作者信息
- 1. 上海中医药大学附属岳阳中西医结合医院超声科,上海市 200437
- 2. 上海建工医院特检科,上海市 200083
- 3. 上海中医药大学附属岳阳中西医结合医院针灸科,上海市 200437
- 4. 上海中医药大学附属岳阳中西医结合医院推拿科,上海市 200437
- 折叠
摘要
Abstract
Objective To investigate the application value of acoustic radiation force impulse(ARFI) elastography in diagnosing myofascial pain syndrome(MPS) of shoulder.Methods Forty patients with MPS of shoulder and 50 healthy individuals were enrolled as MPS group and control group respectively.The tensive part(pain points)of shoulder muscle in the MPS group and the venter musculi of descending part of musculi trapezius in the control group were detected using ARFI elastography and regular two-dimensional(2D) ultrasound.The image of regular 2D ultrasound was recorded.Elasticity image and sheer wave velocity(SWV) were acquired by virtual touch tissue imaging(VTI) and virtual touch tissue quantification(VTQ) of ARFI respectively.Receiver operating characteristic(ROC) curve was used to evaluate the diagnostic efficiency of SWV for MPS.Results The image of VTI was darker in the MPS group compared to the control group.SWV value of the MPS group was higher than that of the control group(2.57±0.62 m/s vs.1.55±0.62 m/s;P<0.05).The result of ROC curve showed that the sensitivity,specificity,and the area under curve were 82.5%,88.0% and 0.882,respectively,when the diagnostic threshold of SWV was 2.12 m/s.Conclusion ARFI can be taken as the potential approach to diagnosing MPS of shoulder.The SWV value obtained by VTQ technology of ARFI can be applied to the auxiliary diagnosis of MPS of shoulder.关键词
肌筋膜疼痛综合征/肩/声辐射力脉冲弹性成像/剪切波速度Key words
Myofascial pain syndrome/Shoulder/Acoustic radiation force impulse elastography/Sheer wave velocity分类
医药卫生引用本文复制引用
童仙君,钱建林,梁艳,严振,李璟..声辐射力脉冲弹性成像技术在诊断肩部肌筋膜疼痛综合征中的应用价值[J].广西医学,2017,39(8):1154-1156,3.
