Literature DB >> 30665154

The diagnostic accuracy of high-resolution ultrasound in screening for carpal tunnel syndrome and grading its severity is moderated by age.

Christos Moschovos1, Georgios Tsivgoulis2, Andreas Kyrozis3, Apostolia Ghika3, Persefoni Karachalia4, Konstantinos Voumvourakis5, Elisabeth Chroni6.   

Abstract

OBJECTIVE: To assess the effect of age on the accuracy of high-resolution ultrasound (HRUS) in the diagnosis and grading of carpal tunnel syndrome (CTS).
METHODS: Patients with symptoms and signs of CTS (N = 527 wrists) were evaluated using electrodiagnostic studies (EDx) for CTS diagnosis and grading. Median nerve cross-sectional areas at carpal tunnel inlet (CSA) and at forearm level were measured by HRUS and the ratio of these values was calculated (WFR). Healthy controls underwent identical testing (N = 122 wrists). HRUS accuracy was assessed against the EDx standard by Receiver Operator Characteristic (ROC) curve analysis.
RESULTS: In patients >65 y with moderate and severe CTS, disease-related increases in CSA and WFR were negatively correlated with increasing age. Subjects were grouped by age into younger (<65 y) and older (≥65 y). The c-statistics for CSA and WFR respectively were: For CTS diagnosis, younger group: 0.94 and 0.96 (excellent); older group: 0.85 and 0.86 (satisfactory). For CTS grading, younger group: differentiating mild CTS from controls: 0.90 and 0.92 (excellent); mild from moderate: 0.79 and 0.74 (satisfactory); moderate from severe: 0.82 and 0.78 (satisfactory). For CTS grading, older group: differentiating mild CTS from controls: 0.83 and 0.83 (satisfactory); mild from moderate: 0.53 and 0.61 (poor); moderate from severe: 0.65 and 0.53 (poor).
CONCLUSIONS: For subjects aged <65 y, HRUS accuracy is excellent in CTS diagnosis and satisfactory in grading. For older subjects, accuracy is satisfactory in diagnosis but not in grading. SIGNIFICANCE: HRUS for CTS has diagnostic limitations selectively in older individuals.
Copyright © 2018 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Carpal tunnel syndrome; EMG; Ultrasound

Year:  2018        PMID: 30665154     DOI: 10.1016/j.clinph.2018.12.005

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  4 in total

Review 1.  Pathophysiology, Diagnosis, Treatment, and Genetics of Carpal Tunnel Syndrome: A Review.

Authors:  Mahshid Malakootian; Mahdieh Soveizi; Akram Gholipour; Maziar Oveisee
Journal:  Cell Mol Neurobiol       Date:  2022-10-10       Impact factor: 4.231

2.  Quantitative Models for Prediction of Cumulative Trauma Disorders Applied to the Maquiladora Industry.

Authors:  Melissa Airem Cázares-Manríquez; Claudia Camargo-Wilson; Ricardo Vardasca; Jorge Luis García-Alcaraz; Jesús Everardo Olguín-Tiznado; Juan Andrés López-Barreras; Blanca Rosa García-Rivera
Journal:  Int J Environ Res Public Health       Date:  2021-04-06       Impact factor: 3.390

3.  Reduction in median nerve cross-sectional area at the forearm correlates with axon loss in carpal tunnel syndrome.

Authors:  Lauri Martikkala; Katri Mäkelä; Sari-Leena Himanen
Journal:  Clin Neurophysiol Pract       Date:  2021-06-24

4.  Application of digital infrared thermography for carpal tunnel syndrome evaluation.

Authors:  Dougho Park; Byung Hee Kim; Sang-Eok Lee; Dong Young Kim; Yoon Sik Eom; Jae Man Cho; Joong Won Yang; Mansu Kim; Heum Dai Kwon; Jang Woo Lee
Journal:  Sci Rep       Date:  2021-11-09       Impact factor: 4.379

  4 in total

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