Cross Connor, Khonsari Roman H, Patermoster Giovanna, Arnaud Eric, Larysz Dawid, Kölby Lars, Johnson David, Ventikos Yiannis, Moazen Mehran
Department of Mechanical Engineering, University College London, London, United Kingdom.
Department of Maxillofacial Surgery and Plastic Surgery, Necker-Enfants Malades Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France.
Front Bioeng Biotechnol. 2022 May 24;10:913190. doi: 10.3389/fbioe.2022.913190. eCollection 2022.
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.
新生儿颅骨由几块骨板组成，通过称为缝的纤维软组织相连。缝的过早融合是一种称为颅缝早闭的医学病症。矢状缝过早融合引起的矢状缝早闭是这种病症最常见的形式。在颅面学界，对于这种病症的最佳治疗方法仍在进行争论，而生物力学和机械生物学方面尚未得到充分理解。在此，我们描述了一个计算框架，该框架使我们能够预测和比较用于治疗矢状缝早闭的不同重建技术后的颅骨生长情况。我们的结果表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为不同形式的颅缝早闭的最佳治疗提供依据，将功能后果和二次手术的风险降至最低。
