Proposing a Minimal Data Set of Musculoskeletal Ultrasound Imaging Biomarkers to Inform Clinical Practice: An Analysis Founded on the Achilles Tendon
Autor: | Philippe Paquette, Dany H. Gagnon, Marie-Josée Nadeau, François Desmeules, Christian Larivière, Martin Lamontagne, Mathieu Lalumiere |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male medicine.medical_specialty Acoustics and Ultrasonics Biophysics Tendinosis Datasets as Topic Achilles Tendon 03 medical and health sciences 0302 clinical medicine medicine Medical imaging Humans Radiology Nuclear Medicine and imaging Ultrasonography Achilles tendon Radiological and Ultrasound Technology business.industry Ultrasound Echogenicity 030229 sport sciences Middle Aged medicine.disease Tendon Data set medicine.anatomical_structure Tendinopathy Female Radiology business 030217 neurology & neurosurgery |
Zdroj: | Ultrasound in medicinebiology. 46(9) |
ISSN: | 1879-291X |
Popis: | Tendon integrity can be described using a wide range of biomarkers via specialized analysis software for images recorded by musculoskeletal ultrasonography. This study proposes a minimal biomarker data set to characterize Achilles tendon ultrasound images and to differentiate between symptomatic and asymptomatic Achilles tendon images. Forty-one individuals with unilateral Achilles tendinopathy and 35 healthy controls had their Achilles tendon images recorded bilaterally by ultrasonography in the longitudinal and transverse planes. A set of 22 biomarkers, organized around three dimensions (geometric, composition and texture), were computed in each plane. A symmetry index, reflecting relative side differences, was compared between groups and analyzed through principal component analysis to isolate biomarkers that best explained data variance. A specific minimal data set was identified by linear regression in the longitudinal (mean thickness, echogenicity, variance and homogeneity at 90°) and transverse (mean thickness, echogenicity and mean homogeneity) planes to characterize and differentiate Achilles tendon integrity. |
Databáze: | OpenAIRE |
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