Use this URL to cite or link to this record in EThOS: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.816061
Title: Characterising and modelling calvarial growth and bone formation in wild type and craniosynostotic type mice
Author: Marghoub, Arsalan
ISNI:       0000 0004 9359 6009
Awarding Body: UCL (University College London)
Current Institution: University College London (University of London)
Date of Award: 2020
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Abstract:
The newborn mammalian cranial vault consists of five flat bones that are joined together along their edges by soft tissues called sutures. The sutures give flexibility for birth, and accommodate the growth of the brain. They also act as shock absorber in childhood. Early fusion of the cranial sutures is a medical condition called craniosynostosis, and may affect only one suture (non-syndromic) or multiple sutures (syndromic). Correction of this condition is complex and usually involves multiple surgical interventions during infancy. The aim of this study was to characterise the skull growth in normal and craniosynostotic mice and to use this data to develop a validated computational model of skull growth. Two oncogenic series of normal and craniosynostosis (Crouzon) mice were microCT scanned and various morphological features of their skulls was characterised at postnatal days (P) 3, 7 and 10. Finite element model of a normal mouse at P3 was developed and used to predict the radial expansion of the skull and the pattern of bone formation at the sutures at P7 and P10. A series of sensitivity tests were carried out. Note the specific ages used in this study correspond to the age that this condition is diagnosed and treated in human. Results highlighted a good agreement between the finite element results and the ex vivo data both in terms of the radial expansion of the skull and the pattern of bone formation at the sutures. Nonetheless, the FE results were sensitive to the choice of input parameters. The modelling approach and the platform that was developed and validated here has huge potentials to be applied to human skull and to optimise the management of various forms of this condition.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.816061  DOI: Not available
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