Literature DB >> 30635914

Assessing the accuracy of neuromuscular ultrasound for inclusion body myositis.

Kristopher R Karvelas1, Ted Xiao2, Carl D Langefeld3, Francis O Walker2, Sapna Pathak2, James B Caress2, Vanessa Baute2, Michael S Cartwright2.   

Abstract

INTRODUCTION: Inclusion body myositis (IBM) can have clinical and electrodiagnostic features similar to other neuromuscular diseases, making it a diagnostic challenge. This prospective study was designed to determine the accuracy of forearm ultrasound for IBM.
METHODS: Sixty adults were recruited (15 with IBM, 15 with amyotrophic lateral sclerosis [ALS], 15 with other myopathies, and 15 healthy controls), and each underwent ultrasound of the bilateral forearms (imaging the flexor digitorum profundus and flexor carpi ulnaris muscles). Three clinicians with varying ultrasound expertise assigned a diagnosis of IBM, ALS, other myopathy, or control, based on images alone.
RESULTS: Intrarater reliability was moderately strong. Interrater reliability varied based on clinician experience. Sensitivity was 73.33% and 66.67% for the expert raters. Specificity was strong for all 3 clinicians (93.33%, 84.44%, and 91.11%). DISCUSSION: Neuromuscular ultrasound of the forearm is reliable and accurate for the diagnosis of IBM, although sensitivity was higher among experienced clinicians. Muscle Nerve 59:478-481, 2019.
© 2019 Wiley Periodicals, Inc.

Entities:  

Keywords:  accuracy; amyotrophic lateral sclerosis; diagnosis; inclusion body myositis; muscle; ultrasound

Mesh:

Year:  2019        PMID: 30635914     DOI: 10.1002/mus.26411

Source DB:  PubMed          Journal:  Muscle Nerve        ISSN: 0148-639X            Impact factor:   3.217


  4 in total

1.  Reliability and Validity of the Modified Heckmatt Scale in Evaluating Muscle Changes With Ultrasound in Spasticity.

Authors:  Marisa C Moreta; Alana Fleet; Rajiv Reebye; Gina McKernan; Michael Berger; Jordan Farag; Michael C Munin
Journal:  Arch Rehabil Res Clin Transl       Date:  2020-07-01

Review 2.  Muscle Sonography in Inclusion Body Myositis: A Systematic Review and Meta-Analysis of 944 Measurements.

Authors:  Ramy Abdelnaby; Khaled Ashraf Mohamed; Anas Elgenidy; Yousef Tarek Sonbol; Mahmoud Mostafa Bedewy; Aya Moustafa Aboutaleb; Mohamed Ayman Ebrahim; Imene Maallem; Khaled Tarek Dardeer; Hamed Amr Heikal; Hazem Maher Gawish; Jana Zschüntzsch
Journal:  Cells       Date:  2022-02-09       Impact factor: 6.600

3.  Predicting the surgical reparability of large-to-massive rotator cuff tears by B-mode ultrasonography: a cross-sectional study.

Authors:  Po-Cheng Chen; Kuan-Ting Wu; Yi-Cun Chen; Yu-Chi Huang; Ching-Di Chang; Wei-Che Lin; Wen-Yi Chou
Journal:  Ultrasonography       Date:  2021-06-06

4.  Ultrasound can differentiate inclusion body myositis from disease mimics.

Authors:  Kristofoor E Leeuwenberg; Nens van Alfen; Lisa Christopher-Stine; Julie J Paik; Eleni Tiniakou; Christopher Mecoli; Jonne Doorduin; Christiaan G J Saris; Jemima Albayda
Journal:  Muscle Nerve       Date:  2020-04-11       Impact factor: 3.852

  4 in total

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