Computational modelling of patient specific spring assisted lambdoid craniosynostosis correction

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 outco...

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Vydáno v:	Scientific reports Ročník 10; číslo 1; s. 18693
Hlavní autoři:	Bozkurt, Selim, Borghi, Alessandro, van de Lande, Lara S., Jeelani, N. U. Owase, Dunaway, David J., Schievano, Silvia
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London Nature Publishing Group UK 29.10.2020 Nature Publishing Group
Témata:	631/136/815 631/136/818 639/705/1042 Age Asymmetry Computed tomography Computer applications Computer Simulation Cranial sutures Cranial Sutures - surgery Craniosynostoses - surgery Craniosynostosis Female Finite Element Analysis Humanities and Social Sciences Humans Infant Male Mathematical models Medical imaging multidisciplinary Patients R&D Reconstructive Surgical Procedures - methods Research & development Science Science (multidisciplinary) Skull Surgery Sutures
ISSN:	2045-2322, 2045-2322
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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.
AbstractList	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. 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.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. 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.
ArticleNumber	18693
Author	Schievano, Silvia Dunaway, David J. van de Lande, Lara S. Jeelani, N. U. Owase Borghi, Alessandro Bozkurt, Selim
Author_xml	– sequence: 1 givenname: Selim surname: Bozkurt fullname: Bozkurt, Selim email: s.bozkurt@ucl.ac.uk organization: Institute of Cardiovascular Science, University College London, University College London, Great Ormond Street Institute of Child Health – sequence: 2 givenname: Alessandro surname: Borghi fullname: Borghi, Alessandro organization: University College London, Great Ormond Street Institute of Child Health, Craniofacial Unit, Great Ormond Street Hospital for Children – sequence: 3 givenname: Lara S. surname: van de Lande fullname: van de Lande, Lara S. organization: University College London, Great Ormond Street Institute of Child Health, Craniofacial Unit, Great Ormond Street Hospital for Children – sequence: 4 givenname: N. U. Owase surname: Jeelani fullname: Jeelani, N. U. Owase organization: University College London, Great Ormond Street Institute of Child Health, Craniofacial Unit, Great Ormond Street Hospital for Children – sequence: 5 givenname: David J. surname: Dunaway fullname: Dunaway, David J. organization: University College London, Great Ormond Street Institute of Child Health, Craniofacial Unit, Great Ormond Street Hospital for Children – sequence: 6 givenname: Silvia surname: Schievano fullname: Schievano, Silvia organization: University College London, Great Ormond Street Institute of Child Health, Craniofacial Unit, Great Ormond Street Hospital for Children
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/33122820$$D View this record in MEDLINE/PubMed
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Snippet	Lambdoid craniosynostosis (LC) is a rare non-syndromic craniosynostosis characterised by fusion of the lambdoid sutures at the back of the head. Surgical...
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SubjectTerms	631/136/815 631/136/818 639/705/1042 Age Asymmetry Computed tomography Computer applications Computer Simulation Cranial sutures Cranial Sutures - surgery Craniosynostoses - surgery Craniosynostosis Female Finite Element Analysis Humanities and Social Sciences Humans Infant Male Mathematical models Medical imaging multidisciplinary Patients R&D Reconstructive Surgical Procedures - methods Research & development Science Science (multidisciplinary) Skull Surgery Sutures
Title	Computational modelling of patient specific spring assisted lambdoid craniosynostosis correction
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