ArticleScientific reports2020
Computational modelling of patient specific spring assisted lambdoid craniosynostosis correction.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 18 citations in OpenAlex.
- A Unique Case of Pure Bilateral Lambdoid Craniosynostosis and Progression to Mercedes-Benz Syndrome Following Spring Cranioplasty.The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association · 2026Article
- Open surgery in lambdoid-related plagiocephaly: detailed techniques, risks, and long-term results.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026Review
- Predicting surgical outcomes in spring assisted cranioplasty via finite element analysis and animal experiments.Scientific reports · 2025Article
- Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly.Computer methods in biomechanics and biomedical engineering · 2025Article
- Advances in 3D Inner Ear Reconstruction Software for Cochlear Implants: A Comprehensive Review.Methods and protocols · 2024Review
- Understanding the influence of surgical parameters on craniofacial surgery outcomes: a computational study.Royal Society open science · 2024Article
- Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction.Scientific reports · 2023Article
- Review
- Automated surgical planning in spring-assisted sagittal craniosynostosis correction using finite element analysis and machine learning.PloS one · 2023Article
- Isolated Effects of Bone, Spring and Surgical Parameters on the Surgical Outcome in Spring-Assisted Sagittal Synostosis Correction.Healthcare technology lettersArticle
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
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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Registered trials
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