Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 1 de 1
Filtrar
Más filtros











Base de datos
Intervalo de año de publicación
1.
Ultrasound Med Biol ; 48(8): 1429-1440, 2022 08.
Artículo en Inglés | MEDLINE | ID: mdl-35537895

RESUMEN

Quantitative ultrasound (QUS) assessment of osteoarthritis (OA) using high-frequency, research-grade single-element ultrasound systems has been reported. The objective of this ex vivo study was to assess the performance of QUS in detecting early OA using a high-frequency linear array transducer. Osteochondral plugs (n = 26) of human articular cartilage were scanned with ExactVu Micro-Ultrasound using an EV29L side-fire transducer. For comparison, the samples were also imaged with SAM200Ex, a custom 40-MHz scanning acoustic microscope with a single-element, focused transducer. Thirteen QUS parameters were derived from the ultrasound data. Magnetic resonance imaging (MRI) data, with T1 and T2 extracted as the quantitative parameters, were also acquired for comparison. Cartilage degeneration was graded from histology and correlated to all quantitative parameters. A maximum Spearman rank correlation coefficient (ρ) of 0.75 was achieved using a combination of ExactVu QUS parameters, while a maximum ρ of 0.62 was achieved using a combination of parameters from SAM200Ex. A maximum ρ of 0.75 was achieved using the T1 and T2 MRI parameters. This study illustrates the potential of a high-frequency linear array transducer to provide a convenient method for early OA screening with results comparable to those of research-grade single-element ultrasound and MRI.


Asunto(s)
Enfermedades de los Cartílagos , Cartílago Articular , Osteoartritis , Enfermedades de los Cartílagos/patología , Cartílago Articular/diagnóstico por imagen , Cartílago Articular/patología , Humanos , Imagen por Resonancia Magnética , Osteoartritis/diagnóstico por imagen , Osteoartritis/patología , Transductores , Ultrasonografía/métodos
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA