Literature DB >> 15473352

Diagnosing mild Carpal Tunnel Syndrome with interpolation.

E B Bodofsky1.   

Abstract

Carpal Tunnel Syndrome (CTS) is the most common peripheral nerve entrapment. In the diagnosis of Carpal Tunnel Syndrome, velocity is determined by either measuring the average velocity over a segment by dividing the distance by the difference in latencies. Polynomial interpolation can determine the velocity at any point along a nerve. Applying interpolation techniques correctly classified 58/60 electrophysiologically proven CTS cases (96.7%) and 36/38 normals (94.7%). Of 7 cases with CTS by standard sensory criteria alone, 6 (86%) had abnormal motor conduction using the interpolation technique. This shows that interpolation techniques can improve diagnostic accuracy in CTS. It also indicates that there is motor involvement in most cases of CTS, including a majority of cases previously classified as only sensory involvement.

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Year:  2004        PMID: 15473352

Source DB:  PubMed          Journal:  Electromyogr Clin Neurophysiol        ISSN: 0301-150X


  2 in total

1.  A study of interpolation method in diagnosis of carpal tunnel syndrome.

Authors:  Alireza Ashraf; Abbas Daghaghzadeh; Mahshid Naseri; Aref Nasiri; Maryam Fakheri
Journal:  Ann Indian Acad Neurol       Date:  2013-10       Impact factor: 1.383

2.  Comparison of Interpolation Methods in the Diagnosis of Carpal Tunnel Syndrome

Authors:  Veysel Alcan; Murat Zinnuroğlu; Gülçin Kaymak Karataş; Elliot Bodofsky
Journal:  Balkan Med J       Date:  2018-06-01       Impact factor: 2.021

  2 in total

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