Literature DB >> 27035250

Ultrasound in the Assessment of Myopathic Disorders.

Craig M Zaidman1, Nens van Alfen.   

Abstract

Neuromuscular ultrasound (US) augments a careful physical examination and electrodiagnostic evaluation in the evaluation of suspected myopathy. Ultrasound evaluation of muscle can identify abnormal echo intensity, size, and movement. Because it is painless and noninvasive, US can be used to evaluate multiple muscles to direct the electrodiagnostic examination or muscle biopsy. Some patterns of muscle involvement can suggest specific etiologies. Most muscular dystrophies show homogenously increased muscle echo intensity with attenuation of the US signal, likely resultant from increased intramuscular fat and fibrosis. Inflammatory myopathies can also show homogenously increased echogenicity but lack the signal attenuation seen in muscular dystrophies. In contrast, denervation can show "moth-eaten," atrophic muscles with fasciculations. Advanced age and obesity also impacts muscle size and echo intensity and can hamper efforts to detect mild pathologies. The sensitivity and specificity of US for detecting neuromuscular disease have been best studied in children and depend on the type and severity of the disorder. In general, muscle US yields sensitivities and specificities of 67% to 100% for detecting neuromuscular disorders in children and is similar to electromyogram for detection of myopathy. Ultrasound is most sensitive for detecting muscular dystrophies and is less sensitive in metabolic myopathies and very young children.

Entities:  

Mesh:

Year:  2016        PMID: 27035250     DOI: 10.1097/WNP.0000000000000245

Source DB:  PubMed          Journal:  J Clin Neurophysiol        ISSN: 0736-0258            Impact factor:   2.177


  18 in total

1.  Exploring the relationship between electrical impedance myography and quantitative ultrasound parameters in Duchenne muscular dystrophy.

Authors:  Bhaskar Roy; Basil T Darras; Craig M Zaidman; Jim S Wu; Kush Kapur; Seward B Rutkove
Journal:  Clin Neurophysiol       Date:  2019-02-12       Impact factor: 3.708

Review 2.  Current status and recent advances on the use of ultrasonography in pediatric rheumatic diseases.

Authors:  Li-Xia Zou; Mei-Ping Lu; Lawrence Kwok Leung Jung
Journal:  World J Pediatr       Date:  2019-09-13       Impact factor: 2.764

3.  Shoulder muscle changes in patients with type 2 diabetes mellitus who have a painful shoulder: a quantitative muscle ultrasound study.

Authors:  Login Ahmed S Alabdali; Bjorn Winkens; Geert-Jan Dinant; Nens van Alfen; Ramon P G Ottenheijm
Journal:  BMC Musculoskelet Disord       Date:  2022-07-14       Impact factor: 2.562

4.  The use of ultrasound in neuromuscular diagnoses.

Authors:  Alyson L Hommel; Michael S Cartwright; Francis O Walker
Journal:  Neurol Clin Pract       Date:  2017-06

5.  Association Between Muscle Strength and Modeling Estimates of Muscle Tissue Heterogeneity in Young and Old Adults.

Authors:  Michael O Harris-Love; Tomas I Gonzales; Qi Wei; Catheeja Ismail; Johannah Zabal; Paula Woletz; Loretta DiPietro; Marc R Blackman
Journal:  J Ultrasound Med       Date:  2018-12-12       Impact factor: 2.153

6.  Quantitative muscle MRI and ultrasound for facioscapulohumeral muscular dystrophy: complementary imaging biomarkers.

Authors:  Karlien Mul; Corinne G C Horlings; Sanne C C Vincenten; Nicol C Voermans; Baziel G M van Engelen; Nens van Alfen
Journal:  J Neurol       Date:  2018-09-06       Impact factor: 4.849

7.  Facioscapulohumeral Dystrophy in Childhood: A Nationwide Natural History Study.

Authors:  Rianne J M Goselink; Tim H A Schreuder; Nens van Alfen; Imelda J M de Groot; Merel Jansen; Richard J L F Lemmers; Patrick J van der Vliet; Nienke van der Stoep; Thomas Theelen; Nicol C Voermans; Silvère M van der Maarel; Baziel G M van Engelen; Corrie E Erasmus
Journal:  Ann Neurol       Date:  2018-10-16       Impact factor: 10.422

8.  The primary role of radiological imaging in the diagnosis of rare musculoskeletal diseases. Emphasis on ultrasound.

Authors:  Federica Rossi; Carlo Martinoli; Giovanni Murialdo; Angelo Schenone; Marina Grandis; Diego Ferone; Alberto Stefano Tagliafico
Journal:  J Ultrason       Date:  2019-09-30

9.  Ultrasonographic and Histological Correlation after Experimental Reconstruction of a Volumetric Muscle Loss Injury with Adipose Tissue.

Authors:  Fernando Leiva-Cepas; Alberto Benito-Ysamat; Ignacio Jimena; Fernando Jimenez-Diaz; Maria Jesus Gil-Belmonte; Ignacio Ruz-Caracuel; Rafael Villalba; Jose Peña-Amaro
Journal:  Int J Mol Sci       Date:  2021-06-22       Impact factor: 5.923

10.  Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods.

Authors:  Philippe Burlina; Seth Billings; Neil Joshi; Jemima Albayda
Journal:  PLoS One       Date:  2017-08-30       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.