Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning.

ABSTRACT: Sagittal synostosis is a condition caused by the fused sagittal suture and results in a narrowed skull in infants. Spring-assisted cranioplasty is a correction technique used to expand skulls with sagittal craniosynostosis by placing compressed springs on the skull before six months of age. Proposed methods for surgical planning in spring-assisted sagittal craniosynostosis correction provide information only about the skull anatomy or require iterative finite element simulations. Therefore, the selection of surgical parameters such as spring dimensions and osteotomy sizes may remain unclear and spring-assisted cranioplasty may yield sub-optimal surgical results. The aim of this study is to develop the architectural structure of an automated tool to predict post-operative surgical outcomes

SUBMITTER: Jacob J 

PROVIDER: S-EPMC10684009 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature