Back to Search Start Over

Reliability and diagnostic accuracy of corrected slack angle derived from 2D-SWE in quantitating muscle spasticity of stroke patients.

Authors :
Cao, Junyan
Xiao, Yang
Qiu, Weihong
Zhang, Yanling
Dou, Zulin
Ren, Jie
Zheng, Rongqin
Zheng, Hairong
Chen, Zhaocong
Source :
Journal of NeuroEngineering & Rehabilitation (JNER); 2/4/2022, Vol. 19 Issue 1, p1-11, 11p
Publication Year :
2022

Abstract

<bold>Background: </bold>To explore the feasibility of corrected slack angle acquired from two-dimensional shear wave elastography (2D-SWE) for quantitating the spasticity of medial gastrocnemius (MG) in stroke patients.<bold>Methods: </bold>Consecutive stroke patients with spastic MG and matched healthy controls were recruited. Intra- and interobserver reliability of 2D-SWE measurement were evaluated, and the correlation between corrected slack angle and modified Ashworth scale (MAS) score was examined. The corrected slack angle before and after botulinum toxin A (BoNT-A) injection was compared and its diagnostic performance in classifying the severity of spasticity were assessed with receiver operating characteristic (ROC) curve analysis.<bold>Results: </bold>The intra- (0.791 95% CI 0.432-0.932) and interobserver (0.751 95% CI 0.382-0.916) reliability of slack angle acquired with 2D-SWE were good. Significant correlation was found between corrected slack angle and MAS score (R = - 0.849, p < 0.001). The corrected slack angle increased after BoNT-A injection. The cutoff value of MAS ≥ 3 had the highest sensitivity (100%) and specificity (93.33%). The positive predictive value (PPV) for classification of MAS ≥ 1+ and the negative predictive value (NPV) for classification of MAS ≥ 3 were greater than 90%.<bold>Conclusion: </bold>2D-SWE was a reliable method to quantitate the post-stroke spasticity. The corrected slack angle had advantage in classifying the severity of spasticity, especially in early identification of mild spasticity and confirmation of severe spasticity. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17430003
Volume :
19
Issue :
1
Database :
Complementary Index
Journal :
Journal of NeuroEngineering & Rehabilitation (JNER)
Publication Type :
Academic Journal
Accession number :
155078895
Full Text :
https://doi.org/10.1186/s12984-022-00995-8