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Conference Paper: Assessment of median nerve mobility by ultrasound dynamic imaging in carpal tunnel syndrome diagnosis

TitleAssessment of median nerve mobility by ultrasound dynamic imaging in carpal tunnel syndrome diagnosis
Authors
KeywordsCarpal tunnel syndrome
Median nerve mobility
Ultrasound dynamic imaging
Issue Date2013
PublisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000770
Citation
The 2013 IEEE International Ultrasonics Symposium (IUS 2013), Prague, Czech Republic, 21-25 July 2013. In IEEE Ultrasonics Symposium Proceedings, 2013, p. 876-879 How to Cite?
AbstractCarpal tunnel syndrome (CTS) is a common entrapment neuropathy. Nerve conduction studies (NCS) have been used as a standard for CTS diagnosis. Complementing NCS, ultrasound imaging provides anatomic information on pathologic changes of the median nerve, such as the reduced median nerve mobility. Motion of median nerve is dependent on mechanical characteristics, and body movements. The purpose of this study was therefore to measure transverse sliding patterns of the median nerve during fingers flexion and extension in ultrasound B-mode images for distinguishing healthy from CTS subjects, and to investigate any correlation between NCS severity and median nerve motion. Transverse ultrasound images were acquired from 19 normal, 15 mild, and 10 severe CTS subjects confirmed by NCS. In two-second acquisition, their fingers were initially in natural position; the median nerve was then moved toward the ulnar side and radius side in fingers flexion and extension, respectively. The displacements of the median nerve were calculated by the multilevel block-matching pyramid algorithm and averaged. All the average displacements at different acquisition times were then accumulated to obtain cumulative displacements, which were curve-fitted by polynomial function. To differentiate the normal from CTS cases, the R-squared, curvature, and amplitude of the fitted curves were computed, to evaluate the goodness, variation, and maximum value of the fit, respectively. Compared to the CTS patients, the normal subjects had higher R-square, curvature, and amplitude estimates. The three parameters were then inputted to a fuzzy c-means algorithm to classify normal cases and CTS ones. The diagnostic efficiency had an accuracy of 93.2%, a specificity of 100%, and a sensitivity of 88%. Further study includes measuring mechanical strain and stress at different neural sites to provide elasticity of the median nerve. © 2013 IEEE.
Description2013 Joint UffC, EFTF and PFM Symposium
Persistent Identifierhttp://hdl.handle.net/10722/189858
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorKuo, TTen_US
dc.contributor.authorLee, MRen_US
dc.contributor.authorLiao, YYen_US
dc.contributor.authorLee, WNen_US
dc.contributor.authorHsu, YWen_US
dc.contributor.authorChen, JPen_US
dc.contributor.authorYeh, CKen_US
dc.date.accessioned2013-09-17T15:00:57Z-
dc.date.available2013-09-17T15:00:57Z-
dc.date.issued2013-
dc.identifier.citationThe 2013 IEEE International Ultrasonics Symposium (IUS 2013), Prague, Czech Republic, 21-25 July 2013. In IEEE Ultrasonics Symposium Proceedings, 2013, p. 876-879en_US
dc.identifier.isbn978-1-4673-5686-2-
dc.identifier.issn1051-0117-
dc.identifier.urihttp://hdl.handle.net/10722/189858-
dc.description2013 Joint UffC, EFTF and PFM Symposium-
dc.description.abstractCarpal tunnel syndrome (CTS) is a common entrapment neuropathy. Nerve conduction studies (NCS) have been used as a standard for CTS diagnosis. Complementing NCS, ultrasound imaging provides anatomic information on pathologic changes of the median nerve, such as the reduced median nerve mobility. Motion of median nerve is dependent on mechanical characteristics, and body movements. The purpose of this study was therefore to measure transverse sliding patterns of the median nerve during fingers flexion and extension in ultrasound B-mode images for distinguishing healthy from CTS subjects, and to investigate any correlation between NCS severity and median nerve motion. Transverse ultrasound images were acquired from 19 normal, 15 mild, and 10 severe CTS subjects confirmed by NCS. In two-second acquisition, their fingers were initially in natural position; the median nerve was then moved toward the ulnar side and radius side in fingers flexion and extension, respectively. The displacements of the median nerve were calculated by the multilevel block-matching pyramid algorithm and averaged. All the average displacements at different acquisition times were then accumulated to obtain cumulative displacements, which were curve-fitted by polynomial function. To differentiate the normal from CTS cases, the R-squared, curvature, and amplitude of the fitted curves were computed, to evaluate the goodness, variation, and maximum value of the fit, respectively. Compared to the CTS patients, the normal subjects had higher R-square, curvature, and amplitude estimates. The three parameters were then inputted to a fuzzy c-means algorithm to classify normal cases and CTS ones. The diagnostic efficiency had an accuracy of 93.2%, a specificity of 100%, and a sensitivity of 88%. Further study includes measuring mechanical strain and stress at different neural sites to provide elasticity of the median nerve. © 2013 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://www.ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000770-
dc.relation.ispartofIEEE Ultrasonics Symposium Proceedingsen_US
dc.rightsIEEE Ultrasonics Symposium Proceedings. Copyright © IEEE.-
dc.rights©2013 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCarpal tunnel syndrome-
dc.subjectMedian nerve mobility-
dc.subjectUltrasound dynamic imaging-
dc.titleAssessment of median nerve mobility by ultrasound dynamic imaging in carpal tunnel syndrome diagnosisen_US
dc.typeConference_Paperen_US
dc.identifier.emailLee, WN: wnlee@hku.hken_US
dc.identifier.authorityLee, WN=rp01663en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ULTSYM.2013.0225-
dc.identifier.scopuseid_2-s2.0-84894375975-
dc.identifier.hkuros222444en_US
dc.identifier.hkuros240693-
dc.identifier.spage876-
dc.identifier.epage879-
dc.identifier.isiWOS:000336665300222-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 140508-

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