2021
DOI: 10.3389/fcell.2021.621249
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Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis

Abstract: Craniosynostosis is the premature fusion of one or more sutures across the calvaria, resulting in morphological and health complications that require invasive corrective surgery. Finite element (FE) method is a powerful tool that can aid with preoperative planning and post-operative predictions of craniosynostosis outcomes. However, input factors can influence the prediction of skull growth and the pressure on the growing brain using this approach. Therefore, the aim of this study was to carry out a series of … Show more

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Cited by 6 publications
(17 citation statements)
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References 56 publications
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“…This could have been attributed to predicted ICV measurements, particularly at postoperative time points. The simulations were run by increasing the ICV to an ‘average’ value at a specific age based on the literature and our previous studies 34 , 38 . However, when comparing the FE results vs. the average ICV of the patients considered in this study at 9–12 months of age, there was a 20% difference between the two (based on the SAC technique).…”
Section: Discussionmentioning
confidence: 99%
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“…This could have been attributed to predicted ICV measurements, particularly at postoperative time points. The simulations were run by increasing the ICV to an ‘average’ value at a specific age based on the literature and our previous studies 34 , 38 . However, when comparing the FE results vs. the average ICV of the patients considered in this study at 9–12 months of age, there was a 20% difference between the two (based on the SAC technique).…”
Section: Discussionmentioning
confidence: 99%
“…The overall morphology of the skull, spring displacement, the pattern of bone formation across the calvarial, and the level of contact pressure that each technique imposes on the growing brain (here, the intracranial volume) was investigated post-operatively. Note the generic preoperative model used in this study was described and validated in detail elsewhere 34 .…”
Section: Methodsmentioning
confidence: 99%
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