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Bioengineering
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Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions
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Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Regenerative Engineering".

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 4664

Special Issue Editors

Dr. Matthew Tay

E-Mail Website
Guest Editor
Centre of Rehabilitation Excellence, Tan Tock Seng Hospital, Singapore, Singapore
Interests: musculoskeletal rehabilitation; musculoskeletal medicine; musculoskeletal ultrasound; spasticity; cancer rehabilitation
Prof. Dr. Yung-Liang Wan

E-Mail Website
Guest Editor
Department of Medical Imaging and Intervention, Linkou Chang Gung Memorial Hospital, College of Medicine, Chang Gung University, Taoyuan City, Taiwan
Interests: ultrasound; medical imaging; diagnosis
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Point-of-care ultrasound poses multiple advantages, including its portability, lack of ionizing radiation, non-invasiveness and cost-effectiveness. Due to advances such as improved transducer technology, it has also emerged as an excellent adjunct to traditional imaging modalities, such as magnetic resonance imaging and computed tomography, in addressing neuromusculoskeletal health. This has prompted the increasing adoption of ultrasound in fields such as rehabilitation, frailty, pain, sports medicine and musculoskeletal medicine, which in turn has led to major advances such as diagnostic evaluation and disease intervention in these fields.

This Special Issue of “Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions” will focus on the clinical use of ultrasound in the fields of rehabilitation science, physical medicine and rehabilitation, frailty, pain medicine, sports and exercise medicine and musculoskeletal disorders.

Dr. Matthew Tay
Prof. Dr. Yung-Liang Wan
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Bioengineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • physical medicine and rehabilitation
  • frailty
  • sarcopenia
  • pain medicine
  • sports and exercise medicine
  • musculoskeletal medicine

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Published Papers (3 papers)

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Research

11 pages, 670 KiB  
Article
Association between Gray-Scale Ultrasound Imaging and Serological Creatine Kinase for Quantifying Exercise-Induced Muscle Damage: An Observational Study
by Jorge Buffet-García, Davinia Vicente-Campos, Mónica López-Redondo, Sandra Sánchez-Jorge, Javier Álvarez-González, Gustavo Plaza-Manzano, Tamara Seijas-Fernández and Juan Antonio Valera-Calero
Bioengineering 2024, 11(1), 40; https://doi.org/10.3390/bioengineering11010040 - 29 Dec 2023
Cited by 1 | Viewed by 1349
Abstract
Limited evidence has verified if ultrasound imaging (US) can detect post-exercise muscle damage based on size, shape, and brightness metrics. This study aimed to analyze the correlation between creatine kinase (CK) concentration and (as a biomarker of muscle damage) changes in US gray-scale [...] Read more.
Limited evidence has verified if ultrasound imaging (US) can detect post-exercise muscle damage based on size, shape, and brightness metrics. This study aimed to analyze the correlation between creatine kinase (CK) concentration and (as a biomarker of muscle damage) changes in US gray-scale metrics after an exercise-induced muscle damage protocol. An observational study was conducted at a private university lab located in Madrid. Twenty-five untrained and asymptomatic volunteers were enrolled in this study. Baseline demographic data and body composition metrics were collected. In addition, the rectus femoris US data and CK concentration were assessed at baseline and after inducing muscle damage (24 and 48 h later). After calculating time differences for all the outcomes, the correlation between the changes observed with US and biomarkers was assessed. Significant CK concentration increases were found 24 h (p = 0.003) and 48 h (p < 0.001) after exercise. However, no significant changes in muscle size, shape, or brightness were found in any location (p > 0.05 for all). In addition, no significant associations were found between CK changes and US changes (p > 0.05 for all). Gray-scale US is not a sensitive tool for detecting muscle damage, as a protocol of exercise-induced muscle damage confirmed with CK produced no significant gray-scale US changes after 24 or 48 h. In addition, US and CK changes after 24 and 48 h were not associated with each other. Full article
(This article belongs to the Special Issue Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions)
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11 pages, 658 KiB  
Article
Body Composition and Demographic Features Do Not Affect the Diagnostic Accuracy of Shear Wave Elastography
by Umut Varol, Juan Antonio Valera-Calero, César Fernández-de-las-Peñas, Jorge Buffet-García, Gustavo Plaza-Manzano and Marcos José Navarro-Santana
Bioengineering 2023, 10(8), 904; https://doi.org/10.3390/bioengineering10080904 - 30 Jul 2023
Cited by 2 | Viewed by 1068
Abstract
Shear-wave elastography (SWE) is an imaging method that can be used to estimate shear wave speed and the Young’s modulus based on the measured shear wave speed under certain conditions. Up to date, no research has analyzed whether body composition factors contribute to [...] Read more.
Shear-wave elastography (SWE) is an imaging method that can be used to estimate shear wave speed and the Young’s modulus based on the measured shear wave speed under certain conditions. Up to date, no research has analyzed whether body composition factors contribute to ultrasound attenuation, refraction, reflection, and, consequently, SWE measurement errors. Therefore, this study aimed to analyze the association between demographic and body composition features with SWE errors for assessing the anterior scalene stiffness (which is a key structure in patients with neck pain and nerve compressive syndromes). Demographic (sex, age, height, weight, and body mass index), body composition (water volume, fat mass, and lean mass), and anterior scalene muscle stiffness (Young’s modulus and shear wave speed) data were collected from a sample of asymptomatic subjects. After calculating the absolute SWE differences between trials and the reliability estimates, a correlation matrix was generated to quantify the association among all the variables. A total of 34 asymptomatic subjects (24 males) were included in the analyses. Test–retest reliability was excellent for assessing the Young’s modulus and shear wave velocity (ICC = 0.912 and 0.923, respectively). No significant associations were found between age, height, weight, body mass index, body fat, lean mass, or water volume with SWE errors (p > 0.05). However, the Young’s modulus error was associated with the stiffness properties (p < 0.01), whereas shear wave speed was associated with none of them (all, p > 0.05). A detailed procedure can reliably assess the AS muscle stiffness. None of the sociodemographic or body composition features assessed were correlated with SWE errors. However, baseline stiffness seems to be associated with Young’s modulus error. Full article
(This article belongs to the Special Issue Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions)
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13 pages, 1083 KiB  
Article
Correlation between Body Composition and Inter-Examiner Errors for Assessing Lumbar Multifidus Muscle Size, Shape and Quality Metrics with Ultrasound Imaging
by Umut Varol, Elena Sánchez-Jiménez, Emma Alyette Adélaïde Leloup, Marcos José Navarro-Santana, César Fernández-de-las-Peñas, Sandra Sánchez-Jorge and Juan Antonio Valera-Calero
Bioengineering 2023, 10(2), 133; https://doi.org/10.3390/bioengineering10020133 - 18 Jan 2023
Cited by 5 | Viewed by 1724
Abstract
Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to their use in clinical and [...] Read more.
Ultrasound imaging (US) is widely used in several healthcare disciplines (including physiotherapy) for assessing multiple muscle metrics such as muscle morphology and quality. Since measuring instruments are required to demonstrate their reliability, accuracy, sensitivity, and specificity prior to their use in clinical and research settings, identifying factors affecting their diagnostic accuracy is essential. Since previous studies analyzed the impact of sociodemographic but not body composition characteristics in US errors, this study aimed to assess whether body composition metrics are correlated with ultrasound measurement errors. B-mode images of the lumbar multifidus muscle at the fifth lumbar vertebral level (L5) were acquired and analyzed in 49 healthy volunteers by two examiners (one experienced and one novel). Cross-sectional area, muscle perimeter and mean echo intensity were calculated bilaterally. A multivariate correlation matrix was calculated for assessing the inter-examiner differences with body composition metrics. Results demonstrated excellent reliability (intraclass correlation coefficient, ICC > 0.9) for assessing the muscle cross-sectional area and perimeter, and good reliability for assessing the muscle shape and mean echo intensity (ICC > 0.7). Inter-examiner errors for estimating muscle size were correlated with participants’ age (p value, p < 0.01), weight (p < 0.05), total and trunk lean mass (both, p < 0.01) and water volume (p < 0.05). Greater shape descriptors and mean brightness disagreements were correlated with older ages (p < 0.05) and total lean mass (p < 0.05). No correlations between age and body composition metrics were found (p > 0.05). This study found US to be a reliable tool for assessing muscle size, shape and mean brightness. Although aging showed no correlations with body composition changes in this sample, it was the main factor correlated with US measurement errors. Full article
(This article belongs to the Special Issue Ultrasound in Rehabilitation and Musculoskeletal Medicine: Applications and Future Directions)
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