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Ashir A, Jerban S, Barrère V, Wu Y, Shah SB, Andre MP, Chang EY. Skeletal Muscle Assessment Using Quantitative Ultrasound: A Narrative Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:4763. [PMID: 37430678 PMCID: PMC10222479 DOI: 10.3390/s23104763] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 05/05/2023] [Accepted: 05/10/2023] [Indexed: 07/12/2023]
Abstract
Ultrasound (US) is an important imaging tool for skeletal muscle analysis. The advantages of US include point-of-care access, real-time imaging, cost-effectiveness, and absence of ionizing radiation. However, US can be highly dependent on the operator and/or US system, and a portion of the potentially useful information carried by raw sonographic data is discarded in image formation for routine qualitative US. Quantitative ultrasound (QUS) methods provide analysis of the raw or post-processed data, revealing additional information about normal tissue structure and disease status. There are four QUS categories that can be used on muscle and are important to review. First, quantitative data derived from B-mode images can help determine the macrostructural anatomy and microstructural morphology of muscle tissues. Second, US elastography can provide information about muscle elasticity or stiffness through strain elastography or shear wave elastography (SWE). Strain elastography measures the induced tissue strain caused either by internal or external compression by tracking tissue displacement with detectable speckle in B-mode images of the examined tissue. SWE measures the speed of induced shear waves traveling through the tissue to estimate the tissue elasticity. These shear waves may be produced using external mechanical vibrations or internal "push pulse" ultrasound stimuli. Third, raw radiofrequency signal analyses provide estimates of fundamental tissue parameters, such as the speed of sound, attenuation coefficient, and backscatter coefficient, which correspond to information about muscle tissue microstructure and composition. Lastly, envelope statistical analyses apply various probability distributions to estimate the number density of scatterers and quantify coherent to incoherent signals, thus providing information about microstructural properties of muscle tissue. This review will examine these QUS techniques, published results on QUS evaluation of skeletal muscles, and the strengths and limitations of QUS in skeletal muscle analysis.
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Affiliation(s)
- Aria Ashir
- Department of Radiology, University of California, San Diego, CA 92093, USA; (S.J.); (M.P.A.); (E.Y.C.)
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
- Department of Radiology, Santa Barbara Cottage Hospital, Santa Barbara, CA 93105, USA
| | - Saeed Jerban
- Department of Radiology, University of California, San Diego, CA 92093, USA; (S.J.); (M.P.A.); (E.Y.C.)
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
- Department of Orthopaedic Surgery, University of California, San Diego, CA 92093, USA;
| | - Victor Barrère
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
- Department of Orthopaedic Surgery, University of California, San Diego, CA 92093, USA;
| | - Yuanshan Wu
- Department of Orthopaedic Surgery, University of California, San Diego, CA 92093, USA;
- Department of Bioengineering, University of California, San Diego, CA 92093, USA
| | - Sameer B. Shah
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
- Department of Orthopaedic Surgery, University of California, San Diego, CA 92093, USA;
- Department of Bioengineering, University of California, San Diego, CA 92093, USA
| | - Michael P. Andre
- Department of Radiology, University of California, San Diego, CA 92093, USA; (S.J.); (M.P.A.); (E.Y.C.)
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
| | - Eric Y. Chang
- Department of Radiology, University of California, San Diego, CA 92093, USA; (S.J.); (M.P.A.); (E.Y.C.)
- Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA 92161, USA; (V.B.); (S.B.S.)
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Hanssen B, Peeters N, Dewit T, Huyghe E, Dan B, Molenaers G, Van Campenhout A, Bar-On L, Van den Broeck C, Calders P, Desloovere K. Reliability of 3D freehand ultrasound to assess lower limb muscles in children with spastic cerebral palsy and typical development. J Anat 2023; 242:986-1002. [PMID: 36807218 PMCID: PMC10184546 DOI: 10.1111/joa.13839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 12/29/2022] [Accepted: 01/20/2023] [Indexed: 02/22/2023] Open
Abstract
This study investigated the reliability of 3-dimensional freehand ultrasound (3DfUS) to quantify the size (muscle volume [MV] and anatomical cross-sectional area [aCSA]), length (muscle length [ML], tendon length [TL], and muscle tendon unit length [MTUL]), and echo-intensity (EI, whole muscle and 50% aCSA), of lower limb muscles in children with spastic cerebral palsy (SCP) and typical development (TD). In total, 13 children with SCP (median age 14.3 (7.3) years) and 13 TD children (median age 11.1 (1.7) years) participated. 3DfUS scans of rectus femoris, semitendinosus, medial gastrocnemius, and tibialis anterior were performed by two raters in two sessions. The intra- and inter-rater and intra- and inter-session reliability were defined with relative and absolute reliability measures, that is, intra-class correlation coefficients (ICCs) and absolute and relative standard error of measurement (SEM and SEM%), respectively. Over all conditions, ICCs for muscle size measures ranged from 0.818 to 0.999 with SEM%s of 12.6%-1.6%. For EI measures, ICCs varied from 0.233 to 0.967 with SEM%s of 15.6%-1.7%. Length measure ICCs ranged from 0.642 to 0.999 with SEM%s of 16.0%-0.5%. In general, reliability did not differ between the TD and SCP cohort but the influence of different muscles, raters, and sessions was not constant for all 3DfUS parameters. Muscle length and muscle tendon unit length were the most reliable length parameters in all conditions. MV and aCSA showed comparable SEM%s over all muscles, where tibialis anterior MV was most reliable. EI had low-relative reliability, but absolute reliability was better, with better reliability for the distal muscles in comparison to the proximal muscles. Combining these results with earlier studies describing muscle morphology assessed in children with SCP, 3DfUS seems sufficiently reliable to determine differences between cohorts and functional levels. The applicability on an individual level, for longitudinal follow-up and after interventions is dependent on the investigated muscle and parameter. Moreover, the semitendinosus, the acquisition, and processing of multiple sweeps, and the definition of EI and TL require further investigation. In general, it is recommended, especially for longitudinal follow-up studies, to keep the rater the same, while standardizing acquisition settings and positioning of the subject.
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Affiliation(s)
- Britta Hanssen
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Nicky Peeters
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Tijl Dewit
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Clinical Motion Analysis Laboratory, University Hospitals Leuven, Pellenberg, Belgium
| | - Ester Huyghe
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium
| | - Bernard Dan
- Inkendaal Rehabilitation Hospital, Vlezenbeek, Belgium.,Université Libre de Bruxelles, Bruxelles, Belgium
| | - Guy Molenaers
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Orthopaedic surgery, University Hospitals Leuven, Belgium
| | - Anja Van Campenhout
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium.,Orthopaedic surgery, University Hospitals Leuven, Belgium
| | - Lynn Bar-On
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium.,Department of Rehabilitation Medicine, Amsterdam UMC, Amsterdam, The Netherlands
| | | | - Patrick Calders
- Department of Rehabilitation Sciences, Ghent University, Ghent, Belgium
| | - Kaat Desloovere
- Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.,Clinical Motion Analysis Laboratory, University Hospitals Leuven, Pellenberg, Belgium
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Obst S, Florance K, Heales L, Barber L. Medial gastrocnemius growth in children who are typically developing: Can changes in muscle volume and length be accurately predicted from age? J Anat 2022; 240:991-997. [PMID: 34914097 PMCID: PMC9005671 DOI: 10.1111/joa.13602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/08/2021] [Accepted: 11/22/2021] [Indexed: 11/29/2022] Open
Abstract
Muscle size is an important determinant of muscular fitness and health, and so it is important to have accurate estimates of actual muscle growth in children. This study compared actual versus age-predicted growth rates of the medial gastrocnemius (MG) muscle in young children over a 12-month period. Three-dimensional ultrasound was used to measure MG length and volume in 50 children (mean ± standard deviation [SD] age = 70.3 ± 29.9 months) to establish age-predicted muscle growth rates using a least-squares linear regression. Twenty children (mean ± SD age = 78.5 ± 27.2 months) were followed up at 6 and 12 months to establish actual muscle growth of MG volume and length. These data were then compared to their age-predicted muscle growth from the linear regression equation using paired t-tests and Bland-Altman limits of agreement method. Age-predicted MG growth significantly underestimated actual muscle growth for both volume and length at each timepoint. On average, actual muscle volume and length were 11.5% and 21.5% greater than the age-predicted volume and length respectively. Caution is warranted when predicting future muscle size in young children based solely on age.
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Affiliation(s)
- Steven Obst
- School of Health, Medical and Applied SciencesCentral Queensland UniversityBundabergQueenslandAustralia
| | - Kaysie Florance
- School of Health, Medical and Applied SciencesCentral Queensland UniversityBundabergQueenslandAustralia
| | - Luke Heales
- School of Health, Medical and Applied SciencesCentral Queensland UniversityRockhamptonQueenslandAustralia
| | - Lee Barber
- School of Health Sciences and Social WorkGriffith UniversityNathanQueenslandAustralia
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