Three‐dimensional quantitative muscle ultrasound in a healthy population

Introduction/Aims Quantitative muscle ultrasound offers biomarkers that aid in the diagnosis, detection, and follow‐up of neuromuscular disorders. At present, quantitative muscle ultrasound methods are 2D and are often operator and device dependent. The aim of this study was to combine an existing d...

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Bibliographic Details
Published inMuscle & nerve Vol. 64; no. 2; pp. 199 - 205
Main Authors Jong, Leon, Nikolaev, Anton, Greco, Anna, Weijers, Gert, Korte, Chris L., Fütterer, Jurgen J.
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.08.2021
Wiley Subscription Services, Inc
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Summary:Introduction/Aims Quantitative muscle ultrasound offers biomarkers that aid in the diagnosis, detection, and follow‐up of neuromuscular disorders. At present, quantitative muscle ultrasound methods are 2D and are often operator and device dependent. The aim of this study was to combine an existing device independent method with an automated ultrasound machine and perform 3D quantitative muscle ultrasound, providing new normative data of healthy controls. Methods In total, 123 healthy volunteers were included. After physical examination, 3D ultrasound scans of the tibialis anterior muscle were acquired using an automated ultrasound scanner. Image postprocessing was performed to obtain calibrated echo intensity values based on a phantom reference. Results Tibialis anterior muscle volumes of 61.2 ± 24.1 mL and 53.7 ± 22.7 mL were scanned in males and females, respectively. Echo intensity correlated with gender**, age**, fat fraction*, histogram kurtosis**, skewness* and standard deviation** (*P < .05, **P < .01). Outcome measures did not differ significantly for different acquisition presets. The 3D quantitative muscle ultrasound revealed the non‐uniformity of echo intensity values over the length of the tibialis anterior muscle. Discussion Our method extended 2D measurements and confirmed previous findings. Our method and reported normative data of (potential) biomarkers can be used to study neuromuscular disorders.
Bibliography:Funding information
H2020 Industrial Leadership, Grant/Award Number: 688188
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Funding information H2020 Industrial Leadership, Grant/Award Number: 688188
ISSN:0148-639X
1097-4598
DOI:10.1002/mus.27330