Proposing a minimal data set of musculoskeletal ultrasound imaging biomarkers to inform clinical practice: An analysis founded on the Achilles tendon

Type de document

Études primaires

Année de publication

2020

Langue

Anglais

Titre de la revue

Ultrasound in Medicine & Biology

Première page

2222

Dernière page

2235

Résumé

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.

Mots-clés

Ténopathie, Tendon disease, Échographie, Echography, Radiologie diagnostique, Diagnostic radiology, Cheville, Ankle, Examen aux ultrasons, Ultrasonic examination

Numéro de projet IRSST

n/a

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