Characterizing and Modeling Bone Formation during Mouse Calvarial Development

Marghoub, Arsalan; Libby, Joseph; Babbs, Christian; Ventikos, Yiannis; Fagan, Michael J.; Moazen, Mehran

doi:10.1103/physrevlett.122.048103

Cited by 21 publications

(26 citation statements)

References 32 publications

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“…There are limited finite element studies on the biomechanics of craniosynostosis 23 despite huge potentials of this method to advance treatment of this condition. Our group in the past few years has been using this technique to predict the calvarial growth in humans 17 and in a mouse model of this condition 19,20 . To the best of our knowledge, the present study is the first attempt to use the finite element method to predict the outcome of calvarial reconstruction in a craniosynostotic patient based on the preoperative CT data.…”

Section: Discussionmentioning

confidence: 99%

“…The patterns of contact pressure on the intracranial volumes were also compared as an indication of how each of the considered cases affected the brain growth. Note (1) the changes in the calvarial morphology at each interval is not included here but such results are presented for our previous work on predicting calvarial morphology in mouse and normal human skull growth 17,19,20 . (2) all methods were carried out in accordance with relevant guidelines and regulations.…”

Section: Materials and Methods Patient And Image Processingmentioning

confidence: 99%

“…Finite element (FE) method is a powerful numerical technique used to analyse a wide variety of engineering problems 15 FE method has the potential to predict the morphological changes during the skull growth [16][17][18][19][20] and to compare the biomechanics of different reconstruction techniques. This can advance our understanding of the optimum management, not only of sagittal synostosis but all forms of craniosynostosis [21][22][23] .…”

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confidence: 99%

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Predicting calvarial morphology in sagittal craniosynostosis

Malde

Cross

Lim

et al. 2020

Sci Rep

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early fusion of the sagittal suture is a clinical condition called, sagittal craniosynostosis. calvarial reconstruction is the most common treatment option for this condition with a range of techniques being developed by different groups. Computer simulations have a huge potential to predict the calvarial growth and optimise the management of this condition. However, these models need to be validated. The aim of this study was to develop a validated patient-specific finite element model of a sagittal craniosynostosis. Here, the finite element method was used to predict the calvarial morphology of a patient based on its preoperative morphology and the planned surgical techniques. A series of sensitivity tests and hypothetical models were carried out and developed to understand the effect of various input parameters on the result. Sensitivity tests highlighted that the models are sensitive to the choice of input parameter. the hypothetical models highlighted the potential of the approach in testing different reconstruction techniques. The patient-specific model highlighted that a comparable pattern of calvarial morphology to the follow up ct data could be obtained. this study forms the foundation for further studies to use the approach described here to optimise the management of sagittal craniosynostosis.

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Section: Discussionmentioning

confidence: 99%

Section: Materials and Methods Patient And Image Processingmentioning

confidence: 99%

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confidence: 99%

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Predicting calvarial morphology in sagittal craniosynostosis

Malde

Cross

Lim

et al. 2020

Sci Rep

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“…Moreover, they generate bone at edges of the bones by responding the external stimuli 47 . Understanding of this mechanism is still limited 48 ; therefore bone formation is not included in the FE models. Nonetheless, it should be noted that despite the limitations, the developed FE models simulated spring assisted cranioplasty in the LC patients accurately.…”

Section: Discussionmentioning

confidence: 99%

Computational modelling of patient specific spring assisted lambdoid craniosynostosis correction

Bozkurt

Borghi

Lande

et al. 2020

Sci Rep

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Lambdoid craniosynostosis (LC) is a rare non-syndromic craniosynostosis characterised by fusion of the lambdoid sutures at the back of the head. Surgical correction including the spring assisted cranioplasty is the only option to correct the asymmetry at the skull in LC. However, the aesthetic outcome from spring assisted cranioplasty may remain suboptimal. The aim of this study is to develop a parametric finite element (FE) model of the LC skulls that could be used in the future to optimise spring surgery. The skull geometries from three different LC patients who underwent spring correction were reconstructed from the pre-operative computed tomography (CT) in Simpleware ScanIP. Initially, the skull growth between the pre-operative CT imaging and surgical intervention was simulated using MSC Marc. The osteotomies and spring implantation were performed to simulate the skull expansion due to the spring forces and skull growth between surgery and post-operative CT imaging in MSC Marc. Surface deviation between the FE models and post-operative skull models reconstructed from CT images changed between ± 5 mm over the skull geometries. Replicating spring assisted cranioplasty in LC patients allow to tune the parameters for surgical planning, which may help to improve outcomes in LC surgeries in the future.

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“…Nodal constraints in all degrees of freedom were placed around the foramen magnum and along the nasion to avoid rigid displacement during skull growth. The radial expansion of the brain/ICV was modeled using thermal analogy as described in detail elsewhere (see Libby et al, 2017;Marghoub et al, 2018Marghoub et al, , 2019Malde et al, 2020). To summaries, a linear isotropic expansion was applied to the brain/ICV, where the pre-operative ICV (measured at 659 ml) was expanded to follow up ICV at 76 months of age (measured at 1,245 ml) in six intervals.…”

Section: Boundary Conditions and Modeling Of The Growthmentioning

confidence: 99%

Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis

Cross

Khonsari

Galiay

et al. 2021

Front. Cell Dev. Biol.

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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 sensitivity studies to understand the effect of various input parameters on predicting the skull morphology of a sagittal synostosis patient post-operatively. Preoperative CT images of a 4-month old patient were used to develop a 3D model of the skull, in which calvarial bones, sutures, cerebrospinal fluid (CSF), and brain were segmented. Calvarial reconstructive surgery was virtually modeled and two intracranial content scenarios labeled “CSF present” and “CSF absent,” were then developed. FE method was used to predict the calvarial morphology up to 76 months of age with intracranial volume-bone contact parameters being established across the models. Sensitivity tests with regards to the choice of material properties, methods of simulating bone formation and the rate of bone formation across the sutures were undertaken. Results were compared to the in vivo data from the same patient. Sensitivity tests to the choice of various material properties highlighted that the defined elastic modulus for the craniotomies appears to have the greatest influence on the predicted overall skull morphology. The bone formation modeling approach across the sutures/craniotomies had a considerable impact on the level of contact pressure across the brain with minimum impact on the overall predicated morphology of the skull. Including the effect of CSF (based on the approach adopted here) displayed only a slight reduction in brain pressure outcomes. The sensitivity tests performed in this study set the foundation for future comparative studies using FE method to compare outcomes of different reconstruction techniques for the management of craniosynostosis.

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Characterizing and Modeling Bone Formation during Mouse Calvarial Development

Cited by 21 publications

References 32 publications

Predicting calvarial morphology in sagittal craniosynostosis

Predicting calvarial morphology in sagittal craniosynostosis

Computational modelling of patient specific spring assisted lambdoid craniosynostosis correction

Using Sensitivity Analysis to Develop a Validated Computational Model of Post-operative Calvarial Growth in Sagittal Craniosynostosis

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