We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Predicting calvarial growth in normal and craniosynostotic mice using a computational approach.
- Authors
Marghoub, Arsalan; Libby, Joseph; Babbs, Christian; Pauws, Erwin; Fagan, Michael J.; Moazen, Mehran
- Abstract
Abstract: During postnatal calvarial growth the brain grows gradually and the overlying bones and sutures accommodate that growth until the later juvenile stages. The whole process is coordinated through a complex series of biological, chemical and perhaps mechanical signals between various elements of the craniofacial system. The aim of this study was to investigate to what extent a computational model can accurately predict the calvarial growth in wild‐type (WT) and mutant type (MT) <italic>Fgfr2</italic><italic>C342Y/+</italic> mice displaying bicoronal suture fusion. A series of morphological studies were carried out to quantify the calvarial growth at P3, P10 and P20 in both mouse types. MicroCT images of a P3 specimen were used to develop a finite element model of skull growth to predict the calvarial shape of WT and MT mice at P10. Sensitivity tests were performed and the results compared with <italic>ex vivo</italic> P10 data. Although the models were sensitive to the choice of input parameters, they predicted the overall skull growth in the WT and MT mice. The models also captured the difference between the <italic>ex vivo</italic>WT and MT mice. This modelling approach has the potential to be translated to human skull growth and to enhance our understanding of the different reconstruction methods used to manage clinically the different forms of craniosynostosis, and in the long term possibly reduce the number of re‐operations in children displaying this condition and thereby enhance their quality of life.
- Subjects
CRANIOSYNOSTOSES; MUSCULOSKELETAL system; BIOMECHANICS; FINITE element method; SUTURES
- Publication
Journal of Anatomy, 2018, Vol 232, Issue 3, p440
- ISSN
0021-8782
- Publication type
Article
- DOI
10.1111/joa.12764