PDF(Pubmed)
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.
摘要：
新生头骨由几块骨板组成,被称为缝合线的纤维软组织连接。缝合线过早融合是一种称为颅骨融合的医学病症。矢状融合,由于矢状缝合的过早融合，是这种情况最常见的形式。在颅面社区中，这种情况的最佳管理是一个正在进行的辩论，而生物力学和机械生物学的各个方面还没有得到很好的了解。这里,我们描述了一个计算框架,该框架使我们能够预测和比较不同重建技术处理矢状面滑膜后的颅骨生长.我们的结果证明了不同的重建技术如何与颅内体积的增加相互作用。这里提出的框架可用于告知不同形式的颅骨融合的最佳管理，最小化功能后果和二次手术的风险。
