Literature DB >> 11462859

The precision of ultrasound imaging and its relevance for carpal tunnel syndrome.

L P Kamolz1, K F Schrögendorfer, M Rab, W Girsch, H Gruber, M Frey.   

Abstract

The carpal tunnel syndrome (CTS) is the most common peripheral entrapment neuropathy in human. The diagnosis is based on symptoms and on physical examination and is supported by nerve conduction tests. The aim of this study was to evaluate the precision and the valence of ultrasound (US) for CTS. An anatomic study was performed on 40 wrists of 20 unfixed human cadavers. The carpal tunnel and its important structures and contents were imaged and measured by ultrasound (7.5-MHz high resolution probe). The dorsopalmar diameter (DPD), the radioulnar diameter (RUD), the perimeter (P) and the cross-sectional area (A) were determined for the carpal canal and for the median nerve. These US images and measurements were directly compared with anatomic cross-sections gained from the same wrists at the same level. Our results showed that ultrasound is a very precise method to display the anatomy of the carpal tunnel and of the median nerve and thus the conditions of the median nerve. Significant differences could not be detected for each of these parameters either for the carpal tunnel or the median nerve. (Ultrasound: cross-sectional area of carpal tunnel: 162.4 +/- 29.3 mm2 and of the median nerve: 9.2 +/- 2.4 mm2; anatomy: cross-sectional area of carpal tunnel: 168.4 +/- 31.2 mm2 and of median nerve: 9.4 +/- 2.2 mm2).

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Year:  2001        PMID: 11462859     DOI: 10.1007/s00276-001-0117-8

Source DB:  PubMed          Journal:  Surg Radiol Anat        ISSN: 0930-1038            Impact factor:   1.246


  12 in total

1.  Prospective Pilot Study Comparing Pre- and Postsurgical CTSAQ and Neuro-QoL Questionnaire with Median Nerve High-Resolution Ultrasound Cross-Sectional Areas.

Authors:  Tuan A Tran; Lisa M Williams; Donna Bui; Colleen Anthonisen; Eduard Poltavskiy; Robert M Szabo
Journal:  J Hand Surg Am       Date:  2017-09-23       Impact factor: 2.230

2.  Elliptical Morphology of the Carpal Tunnel Cross Section.

Authors:  Joseph N Gabra; Dong Hee Kim; Zong-Ming Li
Journal:  Eur J Anat       Date:  2015-01-01

3.  Ultrasound features of carpal tunnel syndrome: a prospective case-control study.

Authors:  Renato A Sernik; Claudia A Abicalaf; Benedito F Pimentel; Andresa Braga-Baiak; Larissa Braga; Giovanni Guido Cerri
Journal:  Skeletal Radiol       Date:  2007-11-08       Impact factor: 2.199

4.  Narrowing carpal arch width to increase cross-sectional area of carpal tunnel--a cadaveric study.

Authors:  Zong-Ming Li; Joseph N Gabra; Tamara L Marquardt; Dong Hee Kim
Journal:  Clin Biomech (Bristol, Avon)       Date:  2013-04-09       Impact factor: 2.063

5.  High-resolution sonography: a new technique to detect nerve damage in leprosy.

Authors:  Suman Jain; Leo H Visser; T L N Praveen; P Narasimha Rao; Thummalakunta Surekha; Ramesh Ellanti; Thummalakunta L N Abhishek; Indira Nath
Journal:  PLoS Negl Trop Dis       Date:  2009-08-11

6.  Carpal tunnel syndrome caused by space occupying lesions.

Authors:  Ho Jung Kang; Sung Hoon Jung; Hong Ki Yoon; Soo Bong Hahn; Sung Jae Kim
Journal:  Yonsei Med J       Date:  2009-04-30       Impact factor: 2.759

7.  Giant lipoma: an unusual cause of carpal tunnel syndrome.

Authors:  Divesh Jalan; Bhavuk Garg; Kanniraj Marimuthu; Prakash Kotwal
Journal:  Pan Afr Med J       Date:  2011-07-18

8.  Pictorial essay: Role of ultrasound in failed carpal tunnel decompression.

Authors:  Rajesh Botchu; Aman Khan; Kanagaratnam Jeyapalan
Journal:  Indian J Radiol Imaging       Date:  2012-01

9.  Comparison of high-resolution sonography and electrophysiology in the diagnosis of carpal tunnel syndrome.

Authors:  Meena Angamuthu Kanikannan; Demudu Babu Boddu; Sailaja Sarva; Padmaja Durga; Rupam Borgohain
Journal:  Ann Indian Acad Neurol       Date:  2015 Apr-Jun       Impact factor: 1.383

10.  Assessment of the kinetic trajectory of the median nerve in the wrist by high-frequency ultrasound.

Authors:  Yi-Hsun Lin; Mei-Yu Hsieh; Fong-Chin Su; Shyh-Hau Wang
Journal:  Sensors (Basel)       Date:  2014-04-28       Impact factor: 3.576

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