A Computational Framework to Predict Calvarial Growth: Optimising Management of Sagittal Craniosynostosis.
Front Bioeng Biotechnol
; 10: 913190, 2022.
Article
em En
| MEDLINE
| ID: mdl-35685092
ABSTRACT
The neonate skull consists of several bony plates, connected by fibrous soft tissue called sutures. Premature fusion of sutures is a medical condition known as craniosynostosis. Sagittal synostosis, caused by premature fusion of the sagittal suture, is the most common form of this condition. The optimum management of this condition is an ongoing debate in the craniofacial community while aspects of the biomechanics and mechanobiology are not well understood. Here, we describe a computational framework that enables us to predict and compare the calvarial growth following different reconstruction techniques for the management of sagittal synostosis. Our results demonstrate how different reconstruction techniques interact with the increasing intracranial volume. The framework proposed here can be used to inform optimum management of different forms of craniosynostosis, minimising the risk of functional consequences and secondary surgery.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Revista:
Front Bioeng Biotechnol
Ano de publicação:
2022
Tipo de documento:
Article
País de afiliação:
Reino Unido