In vivo assessment of elasticity of child rib cortical bone using quantitative computed tomography - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Applied Bionics and Biomechanics Année : 2017

In vivo assessment of elasticity of child rib cortical bone using quantitative computed tomography

Résumé

Elasticity of the child rib cortical bone is poorly known due to the difficulties in obtaining specimens to perform conventional tests. It was shown on the femoral cortical bone that elasticity is strongly correlated with density for both children and adults through a unique relationship. Thus, it is assumed that the relationships between the elasticity and density of adult rib cortical bones could be expanded to include that of children. This study estimated in vivo the elasticity of the child rib cortical bone using quantitative computed tomography (QCT). Twenty-eight children (from 1 to 18y.o.) were considered. Calibrated QCT images were prescribed for various thoracic pathologies. The Hounsfield units were converted to bone mineral density (BMD). A relationship between the BMD and the elasticity of the rib cortical bone was applied to estimate the elasticity of children's ribs in vivo. The estimated elasticity increases with growth (7.1±2.5GPa at 1y.o. up to 11.6±1.9GPa at 18y.o.). This data is in agreement with the few previous values obtained using direct measurements. This methodology paves the way for in vivo assessment of the elasticity of the child cortical bone based on calibrated QCT images.
Fichier principal
Vignette du fichier
ris00000178.pdf (1.62 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01560096 , version 1 (11-07-2017)

Identifiants

Citer

Yumin Zhu, François Bermond, Jacqueline Payen de La Garanderie, Jean-Baptiste Pialat, Baptiste Sandoz, et al.. In vivo assessment of elasticity of child rib cortical bone using quantitative computed tomography. Applied Bionics and Biomechanics, 2017, 2017, ⟨10.1155/2017/2471368⟩. ⟨hal-01560096⟩
194 Consultations
98 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More