Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome
Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between sever...
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ftmdpi:oai:mdpi.com:/2077-0383/11/6/1685/ 2023-08-20T04:06:09+02:00 Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome Toru Sasaki Takafumi Koyama Tomoyuki Kuroiwa Akimoto Nimura Atsushi Okawa Yoshiaki Wakabayashi Koji Fujita 2022-03-18 application/pdf https://doi.org/10.3390/jcm11061685 EN eng Multidisciplinary Digital Publishing Institute Orthopedics https://dx.doi.org/10.3390/jcm11061685 https://creativecommons.org/licenses/by/4.0/ Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1685 carpal tunnel syndrome nerve conduction study median nerve electrophysiological severity classification Text 2022 ftmdpi https://doi.org/10.3390/jcm11061685 2023-08-01T04:29:48Z Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between severity classifications and clinical symptoms. The existing electrophysiological severity classifications have several problems, such as cases that do not fit into a classification and unclear reasons for the boundary value. The purpose of this study was to clarify the relationship between sensory nerve conduction velocity (SCV) and distal motor latency (DML) and to evaluate whether the existing severity classification method is appropriate. We created a scatter diagram between SCV and DML for our NCSs and found a negative correlation between SCV and DML (correlation coefficient, −0.786). When we applied our NCSs to the existing classifications (Padua and Bland classifications), there were many unclassifiable cases (15.2%; Padua classification), and the number of Grade 3 cases was significantly higher than that of Grade 2 or 4 cases (Bland classification). Our large dataset revealed a strong negative correlation between SCV and DML, indicating that the existing severity classifications do not always accurately reflect the severity of the disease. Text DML MDPI Open Access Publishing Journal of Clinical Medicine 11 6 1685 |
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carpal tunnel syndrome nerve conduction study median nerve electrophysiological severity classification |
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carpal tunnel syndrome nerve conduction study median nerve electrophysiological severity classification Toru Sasaki Takafumi Koyama Tomoyuki Kuroiwa Akimoto Nimura Atsushi Okawa Yoshiaki Wakabayashi Koji Fujita Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
topic_facet |
carpal tunnel syndrome nerve conduction study median nerve electrophysiological severity classification |
description |
Electrophysiological examination is important for the diagnosis and evaluation of nerve function in carpal tunnel syndrome (CTS). Electrophysiological severity classifications of CTS using a nerve conduction study (NCS) have been reported, and there are many reports on the relationship between severity classifications and clinical symptoms. The existing electrophysiological severity classifications have several problems, such as cases that do not fit into a classification and unclear reasons for the boundary value. The purpose of this study was to clarify the relationship between sensory nerve conduction velocity (SCV) and distal motor latency (DML) and to evaluate whether the existing severity classification method is appropriate. We created a scatter diagram between SCV and DML for our NCSs and found a negative correlation between SCV and DML (correlation coefficient, −0.786). When we applied our NCSs to the existing classifications (Padua and Bland classifications), there were many unclassifiable cases (15.2%; Padua classification), and the number of Grade 3 cases was significantly higher than that of Grade 2 or 4 cases (Bland classification). Our large dataset revealed a strong negative correlation between SCV and DML, indicating that the existing severity classifications do not always accurately reflect the severity of the disease. |
format |
Text |
author |
Toru Sasaki Takafumi Koyama Tomoyuki Kuroiwa Akimoto Nimura Atsushi Okawa Yoshiaki Wakabayashi Koji Fujita |
author_facet |
Toru Sasaki Takafumi Koyama Tomoyuki Kuroiwa Akimoto Nimura Atsushi Okawa Yoshiaki Wakabayashi Koji Fujita |
author_sort |
Toru Sasaki |
title |
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_short |
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_full |
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_fullStr |
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_full_unstemmed |
Evaluation of the Existing Electrophysiological Severity Classifications in Carpal Tunnel Syndrome |
title_sort |
evaluation of the existing electrophysiological severity classifications in carpal tunnel syndrome |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2022 |
url |
https://doi.org/10.3390/jcm11061685 |
genre |
DML |
genre_facet |
DML |
op_source |
Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1685 |
op_relation |
Orthopedics https://dx.doi.org/10.3390/jcm11061685 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/jcm11061685 |
container_title |
Journal of Clinical Medicine |
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11 |
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6 |
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1685 |
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1774717075319685120 |