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冈上肌剪切波弹性成像(SWE):在灰度形态学改变之前检测不同肌腱质量的生物力学差异。

Supraspinatus muscle shear wave elastography (SWE): detection of biomechanical differences with varying tendon quality prior to gray-scale morphologic changes.

机构信息

Department of Radiology, Division of Musculoskeletal Radiology, NYU Langone Health, 301 East 17th Street, 6th Floor, New York, NY, 10003, USA.

出版信息

Skeletal Radiol. 2020 May;49(5):731-738. doi: 10.1007/s00256-019-03334-6. Epub 2019 Dec 6.

DOI:10.1007/s00256-019-03334-6
PMID:31811348
Abstract

OBJECTIVE

The purpose of this study was to determine whether SWE can detect biomechanical changes in the supraspinatus muscle that occur with increasing supraspinatus tendon abnormality prior to morphologic gray-scale changes.

MATERIALS AND METHODS

An IRB approved, HIPAA compliant retrospective study of shoulder ultrasounds from 2013-2018 was performed. The cohort consisted of 88 patients (mean age 55 ± 15 years old) with 110 ultrasounds. Images were acquired in longitudinal orientation to the supraspinatus muscle with shear wave velocity (SWV) point quantification. The tendon and muscle were graded in order of increasing tendinosis/tear (1-4 scale) and increasing fatty infiltration (0-3 scale). Mixed model analysis of variance, analysis of covariance, and Spearman rank correlation were used for statistical analysis.

RESULTS

There was no statistically significant age or sex dependence for supraspinatus muscle SWV (p = 0.314, 0.118, respectively). There was no significant correlation between muscle SWV and muscle or tendon grade (p = 0.317, 0.691, respectively). In patients with morphologically normal muscle on gray-scale ultrasound, there were significant differences in muscle SWV when comparing tendon grade 3 with grades 1, 2, and 4 (p = 0.018, 0.025, 0.014, respectively), even when adjusting for gender and age (p = 0.044, 0.028, 0.018, respectively). Pairwise comparison of tendon grades other than those mentioned did not achieve statistical significance (p > 0.05).

CONCLUSION

SWE can detect biomechanical differences within the supraspinatus muscle that are not morphologically evident on gray-scale ultrasound. Specifically, supraspinatus tendon partial tears with moderate to severe tendinosis may correspond to biomechanically distinct muscle properties compared to both lower grades of tendon abnormality and full-thickness tears.

摘要

目的

本研究旨在确定 SWE 是否可以检测到冈上肌在出现形态学灰阶变化之前的生物力学变化,这些变化与冈上肌腱异常的增加有关。

材料和方法

对 2013 年至 2018 年的肩部超声进行了一项经机构审查委员会批准、符合 HIPAA 规定的回顾性研究。该队列包括 88 例患者(平均年龄 55 ± 15 岁),共 110 个超声图像。图像以冈上肌的纵向方向获取,采用剪切波速度(SWV)点定量。肌腱和肌肉按肌腱病变/撕裂程度(1-4 级)和脂肪浸润程度(0-3 级)进行分级。采用混合模型方差分析、协方差分析和斯皮尔曼等级相关分析进行统计学分析。

结果

SWV 与年龄或性别均无统计学相关性(p = 0.314,0.118)。SWV 与肌肉或肌腱分级之间也无显著相关性(p = 0.317,0.691)。在灰阶超声显示肌肉形态正常的患者中,与肌腱 3 级相比,肌腱 1 级、2 级和 4 级之间的肌肉 SWV 差异具有统计学意义(p = 0.018,0.025,0.014),即使调整了性别和年龄(p = 0.044,0.028,0.018)。除上述提到的肌腱分级外,其他肌腱分级之间的两两比较均未达到统计学意义(p > 0.05)。

结论

SWE 可以检测到灰阶超声上形态学不明显的冈上肌生物力学差异。具体来说,与较低程度的肌腱异常和全层撕裂相比,冈上肌腱部分撕裂伴中重度肌腱病变可能对应于具有不同生物力学特性的肌肉。

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