Literature DB >> 35659822

A scoping review of methods used in musculoskeletal soft tissue and nerve shear wave elastography studies.

Kevin J Cipriano1, Jordan Wickstrom2, Michael Glicksman3, Lauren Hirth4, Michael Farrell5, Alicia A Livinski6, Sogol Attaripour Esfahani7, Robert J Maldonado5, Jared Astrow5, William A Berrigan8, Antonia M H Piergies9, Lisa D Hobson-Webb10, Katharine E Alter11.   

Abstract

This scoping review of shear wave elastography (SWE) articles in musculoskeletal soft tissue and nerve research demonstrates methodological heterogeneity resulting from a lack of standardized data collection and reporting requirements. Seven literature databases were searched for original articles published in English from 2004-2020 that examine human skeletal muscles, tendons, and nerves in vivo. Although 5,868 records were initially identified, only 375 reports met inclusion criteria. Of the 375 articles, 260 examined 89 unique muscles, 94 examined 14 unique tendons, and 43 examined 8 unique nerves. Cohorts were often small (n = 11-20) and young (mean = 20-29 years), and participants were typically tested in the prone position. Regarding equipment, a variety of ultrasound systems (n = 11), ultrasound models (n = 18), and transducers (n = 19) were identified. Only 11% of articles contained information on the use of electromyography to confirm absence of muscle activity, and only 8% reported measurement depth. Since musculoskeletal soft tissue and nerve stiffness can vary significantly based on data collection methods, it is essential to standardize SWE collection and reporting procedures. This will allow SWE to serve as a valid and reproducible tool for assessing tissue pathology, disease progression, and response to intervention within a variety of musculoskeletal and nerve-related disorders.
Copyright © 2022 International Federation of Clinical Neurophysiology. All rights reserved.

Entities:  

Keywords:  Elastic modulus; Elastogram; Musculoskeletal ultrasound; Neuromuscular ultrasound; Shear wave elastography; Sonoelastography

Mesh:

Year:  2022        PMID: 35659822      PMCID: PMC9394639          DOI: 10.1016/j.clinph.2022.04.013

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   4.861


  40 in total

1.  Diagnostic value of real-time sonoelastography in congenital muscular torticollis.

Authors:  Dong Rak Kwon; Gi Young Park
Journal:  J Ultrasound Med       Date:  2012-05       Impact factor: 2.153

Review 2.  "Soft, hard, or just right?" Applications and limitations of axial-strain sonoelastography and shear-wave elastography in the assessment of tendon injuries.

Authors:  C C Ooi; P Malliaras; M E Schneider; D A Connell
Journal:  Skeletal Radiol       Date:  2013-08-08       Impact factor: 2.199

3.  Qualitative pattern classification of shear wave elastography for breast masses: how it correlates to quantitative measurements.

Authors:  Jung Hyun Yoon; Kyung Hee Ko; Hae Kyoung Jung; Jong Tae Lee
Journal:  Eur J Radiol       Date:  2013-09-03       Impact factor: 3.528

4.  Real time tissue elasticity imaging using the combined autocorrelation method.

Authors:  Tsuyoshi Shiina; Naotaka Nitta; Ei Ueno; Jeffrey C Bamber
Journal:  J Med Ultrason (2001)       Date:  2002-09       Impact factor: 1.314

5.  Ultrasound elastography for the evaluation of peripheral nerves: A systematic review.

Authors:  Tze Chao Wee; Neil G Simon
Journal:  Muscle Nerve       Date:  2019-07-16       Impact factor: 3.217

6.  Which Confounders Have the Largest Impact in Shear Wave Elastography of Muscle and How Can They be Minimized? An Elasticity Phantom, Ex Vivo Porcine Muscle and Volunteer Study Using a Commercially Available System.

Authors:  Lisa Ruby; Tim Mutschler; Katharina Martini; Volker Klingmüller; Thomas Frauenfelder; Marga B Rominger; Sergio J Sanabria
Journal:  Ultrasound Med Biol       Date:  2019-07-30       Impact factor: 2.998

Review 7.  Ultrasound elastography in neuromuscular and movement disorders.

Authors:  Bryce Harmon; Michael Wells; David Park; Jing Gao
Journal:  Clin Imaging       Date:  2018-10-06       Impact factor: 1.605

8.  An investigation into the variability between different shear wave elastography systems in muscle.

Authors:  Abdulrahman M Alfuraih; Philip O'Connor; Ai Lyn Tan; Elizabeth Hensor; Paul Emery; Richard J Wakefield
Journal:  Med Ultrason       Date:  2017-11-29       Impact factor: 1.611

9.  Development of Stiffness Measurement Program Using Color Mapping in Shear Wave Elastography.

Authors:  Haneul Lee; Kyuseok Kim; Youngjin Lee
Journal:  Diagnostics (Basel)       Date:  2020-06-01

Review 10.  Ultrasound Elastography: Review of Techniques and Clinical Applications.

Authors:  Rosa M S Sigrist; Joy Liau; Ahmed El Kaffas; Maria Cristina Chammas; Juergen K Willmann
Journal:  Theranostics       Date:  2017-03-07       Impact factor: 11.556

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