Carpal tunnel syndrome (CTS) is the most common entrapment
neuropathy. In most patients, the diagnosis can be proposed based on patient
history and clinical symptoms, with electrophysical findings. The mild CTS may
not produce any nerve conduction abnormalities and this can make standard
conventional tests not enough in diagnosis the mild CTS. The aim of this study
was to evaluate Compound Muscle Action Potential (CMAP) morphology as more sensitive
and specific parameters without any additional testing for diagnosis the mild
CTS. A total of seventy seven clinically diagnosed patients with CTS were
prospectively enrolled. Data was evaluated from seventy normal hands and forty
six hands with the diagnosis of the mild CTS with standard electrodiagnostic
(EDX) tests and clinical findings. The specificity and sensitivity rate were
calculated to evaluate the utility of CMAP negative peak (NP) morphology
parameters evaluated duration (CMAP NPHalf-Duration and CMAP NPFull-Duration)
and area (CMAP NPHalf-Area and CMAP NPFull-Area) by
comparing the standard EDX test (Median Distal Motor Latency (DML) and peak to
peak amplitude of CMAP (CMAP NPAmplitude) recorded from the abductor
policies brevis (APB) muscle. Although CMAP NPHalf-Duration and CMAP
NPFull-Duration had no statistically significantly difference
between the mild CTS and normal group (p>0.05), DML, CMAP NPAmplitude,
CMAP NPHalf-Area and CMAP NPFull-Area in the mild CTS
group were statistically significantly different (p<0.05). The present study
shown CMAP NPFull-Area had the highest sensitivity and moderate
specificity rate (90.0% and 42.2%, respectively). Furthermore, it was confirmed
again that DML was a valuable motor nerve conduction technique for the
diagnosis of the mild CTS with high sensitivity and moderate specificity (84.8%
and 47.6%, respectively), and it had more sensitive than CMAP NPHalf-Area high
sensitivity and moderate specificity (80.0% and 38.7%, respectively).This study
provided the evidence of CMAP NPFull-Area and CMAP NPHalf-Area that
could be predictors of the mild CTS
Subjects | Engineering |
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Journal Section | Research Article |
Authors | |
Publication Date | December 1, 2016 |
Published in Issue | Year 2016 |