Background:Electrical impedance myography(EIM)is a non-invasive,painless,and easy-to-perform technique for assessing neuromuscular disorders.We evaluated the potential of EIM for quantitatively characterizing carpal t...Background:Electrical impedance myography(EIM)is a non-invasive,painless,and easy-to-perform technique for assessing neuromuscular disorders.We evaluated the potential of EIM for quantitatively characterizing carpal tunnel syndrome(CTS).Methods:Healthy subjects and patients with differing severity of CTS underwent EIM measurement of their small hand muscles.A bioelectrical impedance vector analysis(BIVA)method was first applied to display 50-kHz EIM data in a single plot.Results:Patients with more severe CTS had smaller EIM values in the affected muscle.The reactance and phase parameters differed significantly between any two groups(P<0.05).Their accuracy for differentiating between any two adjacent groups was approximately 80%and for other groups was approximately 90%.There was a strong association between EIM and electrophysiology results.Conclusion:BIVA is convenient and helpful for indicating the differences between healthy subjects and CTS patients.These results demonstrate EIM’s potential for quantitatively characterizing patients with CTS.展开更多
基金This study was supported by the National Natural Science Foundation of China(Grant No.6137607261334008).
文摘Background:Electrical impedance myography(EIM)is a non-invasive,painless,and easy-to-perform technique for assessing neuromuscular disorders.We evaluated the potential of EIM for quantitatively characterizing carpal tunnel syndrome(CTS).Methods:Healthy subjects and patients with differing severity of CTS underwent EIM measurement of their small hand muscles.A bioelectrical impedance vector analysis(BIVA)method was first applied to display 50-kHz EIM data in a single plot.Results:Patients with more severe CTS had smaller EIM values in the affected muscle.The reactance and phase parameters differed significantly between any two groups(P<0.05).Their accuracy for differentiating between any two adjacent groups was approximately 80%and for other groups was approximately 90%.There was a strong association between EIM and electrophysiology results.Conclusion:BIVA is convenient and helpful for indicating the differences between healthy subjects and CTS patients.These results demonstrate EIM’s potential for quantitatively characterizing patients with CTS.
