Literature DB >> 27430445

Muscle ultrasound.

Sigrid Pillen1, Andrea Boon2, Nens Van Alfen3.   

Abstract

Muscle ultrasound is an ideal imaging modality that allows for noninvasive, radiation-free point-of-care neuromuscular imaging. There are many potential applications of muscle ultrasound, including identification of abnormal muscle movements such as fasciculations, evaluation of muscle trauma, identification of physiologic parameters such as pennation angle, accurate performance of chemodenervation, and improved accuracy of challenging electrodiagnostic studies such as phrenic nerve conduction studies or needle electromyogram (EMG) of the diaphragm. Tissue Doppler imaging can be used to help identify inflammatory myopathies. With computer-assisted quantification, muscle ultrasound has high sensitivity and specificity in the diagnosis of pediatric neuromuscular disease and amyotrophic lateral sclerosis, and is a valuable addition to other diagnostic techniques for neuromuscular disease. When used as a first-line screening tool it can obviate the need for more invasive procedures such as EMG or muscle biopsy in certain patients. This chapter provides an overview of the fundamentals, clinical applications, and validation of muscle ultrasound for patients with neuromuscular disorders.
© 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Doppler imaging; Heckmatt scale; congenital myopathy; dystrophy; echogenicity; fasciculations; motor neuron disease; muscle ultrasound; myositis; quantitative

Mesh:

Year:  2016        PMID: 27430445     DOI: 10.1016/B978-0-444-53486-6.00042-9

Source DB:  PubMed          Journal:  Handb Clin Neurol        ISSN: 0072-9752


  10 in total

1.  Rectus abdominis muscle tear diagnosed with sonography and its conservative management.

Authors:  Ashley N Ruff; Stacey M Cornelson; Austin S Panter; Norman W Kettner
Journal:  J Ultrasound       Date:  2019-11-12

2.  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

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

Review 4.  [Imaging of primary muscular diseases : What do neurologists expect from radiologists?]

Authors:  M P Wattjes; A Fischmann; D Fischer
Journal:  Radiologe       Date:  2017-12       Impact factor: 0.635

5.  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

Review 6.  Comprehensive approaches for diagnosis, monitoring and treatment of chronic inflammatory demyelinating polyneuropathy.

Authors:  Anna Lena Fisse; Jeremias Motte; Thomas Grüter; Melissa Sgodzai; Kalliopi Pitarokoili; Ralf Gold
Journal:  Neurol Res Pract       Date:  2020-12-08

7.  Abdominal Muscle Fasciculations and Amyotrophic Lateral Sclerosis Diagnosis in a Patient Unable to Perform Sit-Ups.

Authors:  Hiroshi Hori; Takahiko Fukuchi; Hitoshi Sugawara
Journal:  Cureus       Date:  2022-03-25

8.  Association of diaphragm thickness and echogenicity with age, sex, and body mass index in healthy subjects.

Authors:  Jeroen L M van Doorn; Juerd Wijntjes; Christiaan G J Saris; Coen A C Ottenheijm; Nens van Alfen; Jonne Doorduin
Journal:  Muscle Nerve       Date:  2022-06-09       Impact factor: 3.852

9.  Deep Learning of Ultrasound Imaging for Evaluating Ambulatory Function of Individuals with Duchenne Muscular Dystrophy.

Authors:  Ai-Ho Liao; Jheng-Ru Chen; Shi-Hong Liu; Chun-Hao Lu; Chia-Wei Lin; Jeng-Yi Shieh; Wen-Chin Weng; Po-Hsiang Tsui
Journal:  Diagnostics (Basel)       Date:  2021-05-27

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

  10 in total

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