A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling

Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the response of the soft tissue to the changes to the underlying skeleton. The clinical use of commercial prediction so...

Descripción completa

Detalles Bibliográficos
Autores: Knoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772c, Borghi, A. (Alessandro)|||/items/e5eba803-dd26-4f63-b60f-8eacd298b309, Ruggiero, F. (Federica)|||/items/3aff9355-c2ff-460a-818e-bf2b5358a390, Badiali, G. (Giovanni)|||/items/c951ff7e-ca6c-4d84-b5ed-e3c45f659c43, Bianchi, A. (Alberto)|||/items/93bf2090-3337-47a7-8415-9269dfd103d8, Marchetti, C. (Claudio)|||/items/8ebcfc91-79e9-4c85-98f9-3964877374f1, Rodríguez-Florez, N. (Naiara)|||/items/0e6cedfb-6a96-4e19-b698-c97e11c6d94c, Breakey, R.W.F. (Richard W. F.)|||/items/5cd4a85f-bc1c-4b74-a9d6-1667ebb417fa, Jeelani, O. (Owase)|||/items/46f10ccc-9d8f-4048-bc5e-1acc7be95009, Dunaway, D.J. (David J.)|||/items/a14ed648-656e-4f28-ad36-18f71edd8572, Schievano, S. (Silvia)|||/items/246ff34c-79ea-4de1-9be5-dd89749a8a5a
Tipo de recurso: artículo
Fecha de publicación:2018
País:España
Institución:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/64702
Acceso en línea:https://hdl.handle.net/10171/64702
Access Level:acceso abierto
Palabra clave:Repositioning of the maxilla
Orthognathic surgery
Functional and aesthetic purposes
id ES_8f3c5f746d02cfcedf04aff017f3f420
oai_identifier_str oai:dadun.unav.edu:10171/64702
network_acronym_str ES
network_name_str España
repository_id_str
spelling A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modellingKnoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772cBorghi, A. (Alessandro)|||/items/e5eba803-dd26-4f63-b60f-8eacd298b309Ruggiero, F. (Federica)|||/items/3aff9355-c2ff-460a-818e-bf2b5358a390Badiali, G. (Giovanni)|||/items/c951ff7e-ca6c-4d84-b5ed-e3c45f659c43Bianchi, A. (Alberto)|||/items/93bf2090-3337-47a7-8415-9269dfd103d8Marchetti, C. (Claudio)|||/items/8ebcfc91-79e9-4c85-98f9-3964877374f1Rodríguez-Florez, N. (Naiara)|||/items/0e6cedfb-6a96-4e19-b698-c97e11c6d94cBreakey, R.W.F. (Richard W. F.)|||/items/5cd4a85f-bc1c-4b74-a9d6-1667ebb417faJeelani, O. (Owase)|||/items/46f10ccc-9d8f-4048-bc5e-1acc7be95009Dunaway, D.J. (David J.)|||/items/a14ed648-656e-4f28-ad36-18f71edd8572Schievano, S. (Silvia)|||/items/246ff34c-79ea-4de1-9be5-dd89749a8a5aRepositioning of the maxillaOrthognathic surgeryFunctional and aesthetic purposesRepositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the response of the soft tissue to the changes to the underlying skeleton. The clinical use of commercial prediction software remains controversial, likely due to the deterministic nature of these computational predictions. A novel probabilistic finite element model (FEM) for the prediction of postoperative facial soft tissues is proposed in this paper. A probabilistic FEM was developed and validated on a cohort of eight patients who underwent maxillary repositioning and had pre- and postoperative cone beam computed tomography (CBCT) scans taken. Firstly, a variables correlation assessed various modelling parameters. Secondly, a design of experiments (DOE) provided a range of potential outcomes based on uniformly distributed input parameters, followed by an optimisation. Lastly, the second DOE iteration provided optimised predictions with a probability range. A range of 3D predictions was obtained using the probabilistic FEM and validated using reconstructed soft tissue surfaces from the postoperative CBCT data. The predictions in the nose and upper lip areas accurately include the true postoperative position, whereas the prediction under-estimates the position of the cheeks and lower lip. A probabilistic FEM has been developed and validated for the prediction of the facial appearance following orthognathic surgery. This method shows how inaccuracies in the modelling and uncertainties in executing surgical planning influence the soft tissue prediction and it provides a range of predictions including a minimum and maximum, which may be helpful for patients in understanding the impact of surgery on the face.Public Library of ScienceDadun. Depósito Académico Digital Universidad de Navarra20222022-11-1720182018-01-0120182018-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/64702reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/647022026-06-21T12:47:57Z
dc.title.none.fl_str_mv A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
title A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
spellingShingle A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
Knoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772c
Repositioning of the maxilla
Orthognathic surgery
Functional and aesthetic purposes
title_short A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
title_full A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
title_fullStr A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
title_full_unstemmed A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
title_sort A novel soft tissue prediction methodology for orthognathic surgery based on probabilistic finite element modelling
dc.creator.none.fl_str_mv Knoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772c
Borghi, A. (Alessandro)|||/items/e5eba803-dd26-4f63-b60f-8eacd298b309
Ruggiero, F. (Federica)|||/items/3aff9355-c2ff-460a-818e-bf2b5358a390
Badiali, G. (Giovanni)|||/items/c951ff7e-ca6c-4d84-b5ed-e3c45f659c43
Bianchi, A. (Alberto)|||/items/93bf2090-3337-47a7-8415-9269dfd103d8
Marchetti, C. (Claudio)|||/items/8ebcfc91-79e9-4c85-98f9-3964877374f1
Rodríguez-Florez, N. (Naiara)|||/items/0e6cedfb-6a96-4e19-b698-c97e11c6d94c
Breakey, R.W.F. (Richard W. F.)|||/items/5cd4a85f-bc1c-4b74-a9d6-1667ebb417fa
Jeelani, O. (Owase)|||/items/46f10ccc-9d8f-4048-bc5e-1acc7be95009
Dunaway, D.J. (David J.)|||/items/a14ed648-656e-4f28-ad36-18f71edd8572
Schievano, S. (Silvia)|||/items/246ff34c-79ea-4de1-9be5-dd89749a8a5a
author Knoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772c
author_facet Knoops, P.G.M. (Paul G. M.)|||/items/ac654c50-a854-4bc4-a524-68407bfc772c
Borghi, A. (Alessandro)|||/items/e5eba803-dd26-4f63-b60f-8eacd298b309
Ruggiero, F. (Federica)|||/items/3aff9355-c2ff-460a-818e-bf2b5358a390
Badiali, G. (Giovanni)|||/items/c951ff7e-ca6c-4d84-b5ed-e3c45f659c43
Bianchi, A. (Alberto)|||/items/93bf2090-3337-47a7-8415-9269dfd103d8
Marchetti, C. (Claudio)|||/items/8ebcfc91-79e9-4c85-98f9-3964877374f1
Rodríguez-Florez, N. (Naiara)|||/items/0e6cedfb-6a96-4e19-b698-c97e11c6d94c
Breakey, R.W.F. (Richard W. F.)|||/items/5cd4a85f-bc1c-4b74-a9d6-1667ebb417fa
Jeelani, O. (Owase)|||/items/46f10ccc-9d8f-4048-bc5e-1acc7be95009
Dunaway, D.J. (David J.)|||/items/a14ed648-656e-4f28-ad36-18f71edd8572
Schievano, S. (Silvia)|||/items/246ff34c-79ea-4de1-9be5-dd89749a8a5a
author_role author
author2 Borghi, A. (Alessandro)|||/items/e5eba803-dd26-4f63-b60f-8eacd298b309
Ruggiero, F. (Federica)|||/items/3aff9355-c2ff-460a-818e-bf2b5358a390
Badiali, G. (Giovanni)|||/items/c951ff7e-ca6c-4d84-b5ed-e3c45f659c43
Bianchi, A. (Alberto)|||/items/93bf2090-3337-47a7-8415-9269dfd103d8
Marchetti, C. (Claudio)|||/items/8ebcfc91-79e9-4c85-98f9-3964877374f1
Rodríguez-Florez, N. (Naiara)|||/items/0e6cedfb-6a96-4e19-b698-c97e11c6d94c
Breakey, R.W.F. (Richard W. F.)|||/items/5cd4a85f-bc1c-4b74-a9d6-1667ebb417fa
Jeelani, O. (Owase)|||/items/46f10ccc-9d8f-4048-bc5e-1acc7be95009
Dunaway, D.J. (David J.)|||/items/a14ed648-656e-4f28-ad36-18f71edd8572
Schievano, S. (Silvia)|||/items/246ff34c-79ea-4de1-9be5-dd89749a8a5a
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Repositioning of the maxilla
Orthognathic surgery
Functional and aesthetic purposes
topic Repositioning of the maxilla
Orthognathic surgery
Functional and aesthetic purposes
description Repositioning of the maxilla in orthognathic surgery is carried out for functional and aesthetic purposes. Pre-surgical planning tools can predict 3D facial appearance by computing the response of the soft tissue to the changes to the underlying skeleton. The clinical use of commercial prediction software remains controversial, likely due to the deterministic nature of these computational predictions. A novel probabilistic finite element model (FEM) for the prediction of postoperative facial soft tissues is proposed in this paper. A probabilistic FEM was developed and validated on a cohort of eight patients who underwent maxillary repositioning and had pre- and postoperative cone beam computed tomography (CBCT) scans taken. Firstly, a variables correlation assessed various modelling parameters. Secondly, a design of experiments (DOE) provided a range of potential outcomes based on uniformly distributed input parameters, followed by an optimisation. Lastly, the second DOE iteration provided optimised predictions with a probability range. A range of 3D predictions was obtained using the probabilistic FEM and validated using reconstructed soft tissue surfaces from the postoperative CBCT data. The predictions in the nose and upper lip areas accurately include the true postoperative position, whereas the prediction under-estimates the position of the cheeks and lower lip. A probabilistic FEM has been developed and validated for the prediction of the facial appearance following orthognathic surgery. This method shows how inaccuracies in the modelling and uncertainties in executing surgical planning influence the soft tissue prediction and it provides a range of predictions including a minimum and maximum, which may be helpful for patients in understanding the impact of surgery on the face.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01
2018
2018-01-01
2022
2022-11-17
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/64702
url https://hdl.handle.net/10171/64702
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869413195041472512
score 15,301603