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Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment

Aim: This review article describes quantitative ultrasound (QUS) techniques and summarizes their strengths and limitations when applied to peripheral nerves. Methods: A systematic review was conducted on publications after 1990 in Google Scholar, Scopus, and PubMed databases. The search terms “perip...

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Autores principales: Jerban, Saeed, Barrère, Victor, Andre, Michael, Chang, Eric Y., Shah, Sameer B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000911/
https://www.ncbi.nlm.nih.gov/pubmed/36900101
http://dx.doi.org/10.3390/diagnostics13050956
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author Jerban, Saeed
Barrère, Victor
Andre, Michael
Chang, Eric Y.
Shah, Sameer B.
author_facet Jerban, Saeed
Barrère, Victor
Andre, Michael
Chang, Eric Y.
Shah, Sameer B.
author_sort Jerban, Saeed
collection PubMed
description Aim: This review article describes quantitative ultrasound (QUS) techniques and summarizes their strengths and limitations when applied to peripheral nerves. Methods: A systematic review was conducted on publications after 1990 in Google Scholar, Scopus, and PubMed databases. The search terms “peripheral nerve”, “quantitative ultrasound”, and “elastography ultrasound” were used to identify studies related to this investigation. Results: Based on this literature review, QUS investigations performed on peripheral nerves can be categorized into three main groups: (1) B-mode echogenicity measurements, which are affected by a variety of post-processing algorithms applied during image formation and in subsequent B-mode images; (2) ultrasound (US) elastography, which examines tissue stiffness or elasticity through modalities such as strain ultrasonography or shear wave elastography (SWE). With strain ultrasonography, induced tissue strain, caused by internal or external compression stimuli that distort the tissue, is measured by tracking detectable speckles in the B-mode images. In SWE, the propagation speed of shear waves, generated by externally applied mechanical vibrations or internal US “push pulse” stimuli, is measured to estimate tissue elasticity; (3) the characterization of raw backscattered ultrasound radiofrequency (RF) signals, which provide fundamental ultrasonic tissue parameters, such as the acoustic attenuation and backscattered coefficients, that reflect tissue composition and microstructural properties. Conclusions: QUS techniques allow the objective evaluation of peripheral nerves and reduce operator- or system-associated biases that can influence qualitative B-mode imaging. The application of QUS techniques to peripheral nerves, including their strengths and limitations, were described and discussed in this review to enhance clinical translation.
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spelling pubmed-100009112023-03-11 Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment Jerban, Saeed Barrère, Victor Andre, Michael Chang, Eric Y. Shah, Sameer B. Diagnostics (Basel) Review Aim: This review article describes quantitative ultrasound (QUS) techniques and summarizes their strengths and limitations when applied to peripheral nerves. Methods: A systematic review was conducted on publications after 1990 in Google Scholar, Scopus, and PubMed databases. The search terms “peripheral nerve”, “quantitative ultrasound”, and “elastography ultrasound” were used to identify studies related to this investigation. Results: Based on this literature review, QUS investigations performed on peripheral nerves can be categorized into three main groups: (1) B-mode echogenicity measurements, which are affected by a variety of post-processing algorithms applied during image formation and in subsequent B-mode images; (2) ultrasound (US) elastography, which examines tissue stiffness or elasticity through modalities such as strain ultrasonography or shear wave elastography (SWE). With strain ultrasonography, induced tissue strain, caused by internal or external compression stimuli that distort the tissue, is measured by tracking detectable speckles in the B-mode images. In SWE, the propagation speed of shear waves, generated by externally applied mechanical vibrations or internal US “push pulse” stimuli, is measured to estimate tissue elasticity; (3) the characterization of raw backscattered ultrasound radiofrequency (RF) signals, which provide fundamental ultrasonic tissue parameters, such as the acoustic attenuation and backscattered coefficients, that reflect tissue composition and microstructural properties. Conclusions: QUS techniques allow the objective evaluation of peripheral nerves and reduce operator- or system-associated biases that can influence qualitative B-mode imaging. The application of QUS techniques to peripheral nerves, including their strengths and limitations, were described and discussed in this review to enhance clinical translation. MDPI 2023-03-02 /pmc/articles/PMC10000911/ /pubmed/36900101 http://dx.doi.org/10.3390/diagnostics13050956 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Jerban, Saeed
Barrère, Victor
Andre, Michael
Chang, Eric Y.
Shah, Sameer B.
Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title_full Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title_fullStr Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title_full_unstemmed Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title_short Quantitative Ultrasound Techniques Used for Peripheral Nerve Assessment
title_sort quantitative ultrasound techniques used for peripheral nerve assessment
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10000911/
https://www.ncbi.nlm.nih.gov/pubmed/36900101
http://dx.doi.org/10.3390/diagnostics13050956
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