Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47879
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dc.contributor.authorMEYNS, Joeri-
dc.contributor.authorVertenten, Wout-
dc.contributor.authorShujaat, Sohaib-
dc.contributor.authorVAN CAUTER, Sofie-
dc.contributor.authorVander Sloten, Jos-
dc.contributor.authorPOLITIS, Constantinus-
dc.contributor.authorJacobs, Reinhilde-
dc.date.accessioned2025-12-10T12:37:32Z-
dc.date.available2025-12-10T12:37:32Z-
dc.date.issued2025-
dc.date.submitted2025-12-08T17:14:54Z-
dc.identifier.citationBioengineering, 12 (11) (Art N° 1173)-
dc.identifier.urihttp://hdl.handle.net/1942/47879-
dc.description.abstractPredicting treatment outcomes in Class III protraction therapy remains challenging. Although finite element analysis (FEA) helps in the study of biomechanics and planning of orthodontic treatment, its use in Class III protraction has mainly been in evaluating appliance designs rather than patient-specific anatomy. The predictive accuracy of FEA has not been validated in Class III protration therapy. In this study, ten patients (5 female, 5 male, aged 7-11 years) with Class III malocclusion received either facemask or mentoplate treatment. CT scans from four patients were used to construct simplified finite element models, and predictions were compared with one-year treatment outcomes from six additional patients. While stress patterns differed between treatments, patient-specific geometrical factors had a more significant impact on deformation than treatment type. FEM-predicted maxillary changes (mean: 0.352 +/- 0.12 mm) were approximately one-tenth of actual changes (mean: 1.612 +/- 0.64 mm), with no significant correlation. Current FEM approaches, though useful for understanding force distribution, cannot reliably predict clinical outcomes in growing Class III patients. The findings suggest that successful prediction models must incorporate biological and growth factors beyond pure biomechanics. Accurate prediction of treatment outcomes requires comprehensive models that integrate multiple biological and developmental factors.-
dc.description.sponsorshipFunding: This research received no external funding Acknowledgments: The authors wish to thank Ellen Gielen for her help in organizing the CT scans. Also, many thanks to Arnaud Schreurs, Nico Vrijens and Johan Aerts for executing orthodontic treatment in these study-patients.-
dc.language.isoen-
dc.publisherMDPI-
dc.rights2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/ licenses/by/4.0/).-
dc.subject.otherClass III malocclusion-
dc.subject.otherfinite element analysis-
dc.subject.otherbiomechanical modeling-
dc.subject.othermaxillary protraction-
dc.subject.othertreatment prediction-
dc.titleEvaluating the Predictive Potential of Patient-Specific Biomechanical Models in Class III Protraction Therapy-
dc.typeJournal Contribution-
dc.identifier.issue11-
dc.identifier.volume12-
local.format.pages17-
local.bibliographicCitation.jcatA1-
dc.description.notesMeyns, J (corresponding author), Gen Hosp St Jan, Dept Oral & Maxillofacial Surg, B-3600 Genk, Belgium.; Meyns, J (corresponding author), Katholieke Univ Leuven, Fac Med, Dept Imaging & Pathol, OMFS IMPATH Res Grp, B-3000 Leuven, Belgium.; Meyns, J (corresponding author), Hasselt Univ, Dept Med & Life Sci, B-3500 Hasselt, Belgium.-
dc.description.notesjoerimeyns@outlook.com; sohaib.shujaat941@gmail.com-
local.publisher.placeMDPI AG, Grosspeteranlage 5, CH-4052 BASEL, SWITZERLAND-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.bibliographicCitation.artnr1173-
dc.identifier.doi10.3390/bioengineering12111173-
dc.identifier.isi001624117700001-
local.provider.typewosris-
local.description.affiliation[Meyns, Joeri] Gen Hosp St Jan, Dept Oral & Maxillofacial Surg, B-3600 Genk, Belgium.-
local.description.affiliation[Meyns, Joeri; Shujaat, Sohaib; Politis, Constantinus; Jacobs, Reinhilde] Katholieke Univ Leuven, Fac Med, Dept Imaging & Pathol, OMFS IMPATH Res Grp, B-3000 Leuven, Belgium.-
local.description.affiliation[Meyns, Joeri; Van Cauter, Sofie] Hasselt Univ, Dept Med & Life Sci, B-3500 Hasselt, Belgium.-
local.description.affiliation[Vertenten, Wout; Vander Sloten, Jos] Katholieke Univ Leuven, Dept Mech Engn, Biomech Sect, B-3001 Leuven, Belgium.-
local.description.affiliation[Shujaat, Sohaib] King Saud Bin Abdulaziz Univ Hlth Sci, Coll Dent, King Abdullah Int Med Res Ctr, Minist Natl Guard Hlth Affairs, Riyadh 11481, Saudi Arabia.-
local.description.affiliation[Van Cauter, Sofie] Gen Hosp St Jan, Dept Med Imaging, B-3600 Genk, Belgium.-
local.description.affiliation[Jacobs, Reinhilde] Karolinska Inst, Dept Dent Med, S-17177 Stockholm, Sweden.-
local.uhasselt.internationalyes-
item.accessRightsOpen Access-
item.fulltextWith Fulltext-
item.fullcitationMEYNS, Joeri; Vertenten, Wout; Shujaat, Sohaib; VAN CAUTER, Sofie; Vander Sloten, Jos; POLITIS, Constantinus & Jacobs, Reinhilde (2025) Evaluating the Predictive Potential of Patient-Specific Biomechanical Models in Class III Protraction Therapy. In: Bioengineering, 12 (11) (Art N° 1173).-
item.contributorMEYNS, Joeri-
item.contributorVertenten, Wout-
item.contributorShujaat, Sohaib-
item.contributorVAN CAUTER, Sofie-
item.contributorVander Sloten, Jos-
item.contributorPOLITIS, Constantinus-
item.contributorJacobs, Reinhilde-
crisitem.journal.eissn2306-5354-
Appears in Collections:Research publications
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