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Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction
Spring-assisted posterior vault expansion has been adopted at the London Great Ormond Street Hospital for Children to treat raised intracranial pressure in patients affected by syndromic craniosynostosis, a congenital calvarial anomaly causing the premature fusion of skull sutures. This procedure in...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695940/ https://www.ncbi.nlm.nih.gov/pubmed/38049445 http://dx.doi.org/10.1038/s41598-023-48143-z |
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author | Deliège, Lara Ramdat Misier, Karan Silva, Dulanka James, Gregory Ong, Juling Dunaway, David Jeelani, Noor Ul Owase Schievano, Silvia Borghi, Alessandro |
author_facet | Deliège, Lara Ramdat Misier, Karan Silva, Dulanka James, Gregory Ong, Juling Dunaway, David Jeelani, Noor Ul Owase Schievano, Silvia Borghi, Alessandro |
author_sort | Deliège, Lara |
collection | PubMed |
description | Spring-assisted posterior vault expansion has been adopted at the London Great Ormond Street Hospital for Children to treat raised intracranial pressure in patients affected by syndromic craniosynostosis, a congenital calvarial anomaly causing the premature fusion of skull sutures. This procedure involves elastic distractors used to dynamically reshape the skull and increase the intracranial volume (ICV). In this study, we developed and validated a patient-specific model able to predict the ICV increase and carried out a parametric study to investigate the effect of surgical parameters on that final volume. Pre- and post-operative computed tomography data relative to 18 patients were processed to extract simplified patient-specific skull shape, replicate surgical cuts, and simulate spring expansion. A parametric study was performed to quantify each parameter’s impact on the surgical outcome: for each patient, the osteotomy location was varied in a pre-defined range; local sensitivity of the predicted ICV to each parameter was analysed and compared. Results showed that the finite element model performed well in terms of post-operative ICV prediction and allowed for parametric optimization of surgical cuts. The study indicates how to optimize the ICV increase according to the type of procedure and provides indication on the most robust surgical strategy. |
format | Online Article Text |
id | pubmed-10695940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106959402023-12-06 Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction Deliège, Lara Ramdat Misier, Karan Silva, Dulanka James, Gregory Ong, Juling Dunaway, David Jeelani, Noor Ul Owase Schievano, Silvia Borghi, Alessandro Sci Rep Article Spring-assisted posterior vault expansion has been adopted at the London Great Ormond Street Hospital for Children to treat raised intracranial pressure in patients affected by syndromic craniosynostosis, a congenital calvarial anomaly causing the premature fusion of skull sutures. This procedure involves elastic distractors used to dynamically reshape the skull and increase the intracranial volume (ICV). In this study, we developed and validated a patient-specific model able to predict the ICV increase and carried out a parametric study to investigate the effect of surgical parameters on that final volume. Pre- and post-operative computed tomography data relative to 18 patients were processed to extract simplified patient-specific skull shape, replicate surgical cuts, and simulate spring expansion. A parametric study was performed to quantify each parameter’s impact on the surgical outcome: for each patient, the osteotomy location was varied in a pre-defined range; local sensitivity of the predicted ICV to each parameter was analysed and compared. Results showed that the finite element model performed well in terms of post-operative ICV prediction and allowed for parametric optimization of surgical cuts. The study indicates how to optimize the ICV increase according to the type of procedure and provides indication on the most robust surgical strategy. Nature Publishing Group UK 2023-12-04 /pmc/articles/PMC10695940/ /pubmed/38049445 http://dx.doi.org/10.1038/s41598-023-48143-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Deliège, Lara Ramdat Misier, Karan Silva, Dulanka James, Gregory Ong, Juling Dunaway, David Jeelani, Noor Ul Owase Schievano, Silvia Borghi, Alessandro Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title | Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title_full | Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title_fullStr | Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title_full_unstemmed | Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title_short | Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
title_sort | spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10695940/ https://www.ncbi.nlm.nih.gov/pubmed/38049445 http://dx.doi.org/10.1038/s41598-023-48143-z |
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