Prediction of condylar movement envelope surface based on facial morphology

The present study aimed to predict the envelope surfaces from facial morphology. Condylar envelope surfaces for 34 healthy adults were formed and simplified as sagittal section curves. Cephalometric and maximum mandibular moving distances measurement were performed on the participants. There was no...

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Main Authors: Kenan Chen, Zhehao Zhang, Junqi Jiang, Junlin Wang, Jing Wang, Yuchun Sun, Xiangliang Xu, Chuanbin Guo
Format: Article
Language:English
Published: Elsevier 2023-07-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023049770
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author Kenan Chen
Zhehao Zhang
Junqi Jiang
Junlin Wang
Jing Wang
Yuchun Sun
Xiangliang Xu
Chuanbin Guo
author_facet Kenan Chen
Zhehao Zhang
Junqi Jiang
Junlin Wang
Jing Wang
Yuchun Sun
Xiangliang Xu
Chuanbin Guo
author_sort Kenan Chen
collection DOAJ
description The present study aimed to predict the envelope surfaces from facial morphology. Condylar envelope surfaces for 34 healthy adults were formed and simplified as sagittal section curves. Cephalometric and maximum mandibular moving distances measurement were performed on the participants. There was no statistically significant difference (p = 0.763) between the left and right maximum lateral movements. There was a statistically significant difference in the mandibular body length between the sexes. The envelope surfaces were divided into type 1 with Hp2 ≥ 1/3 Hp1 and type 2 with Hp2 < 1/3 × Hp1. SNA and SNB for type 2 were significantly greater than those for type 1 (p < 0.001). Therefore, the participants were divided into four groups based on gender and envelope surface morphology. The curves could be fitted using the second-order Fourier function (R-square ≥0.95). Six facial parameters were selected and a matrix was used to map facial morphology to the envelope surface. Individual sagittal curves were predicted using the matrix and facial parameters, and the envelope surface was predicted using the curve and the condyle model. Deviation analysis for the predicted envelope surface using the actual envelope as a reference was carried out (root mean square = 0.9970 mm ± 0.2918 mm). This method may lay a foundation for the geometric design of artificial fossa components of temporomandibular joint replacement systems. It may improve prosthesis design without flexible tissue repair and guide the movement of the artificial joint head.
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spelling doaj.art-d867b0bacc074b729a298351a5376f862023-07-27T05:57:23ZengElsevierHeliyon2405-84402023-07-0197e17769Prediction of condylar movement envelope surface based on facial morphologyKenan Chen0Zhehao Zhang1Junqi Jiang2Junlin Wang3Jing Wang4Yuchun Sun5Xiangliang Xu6Chuanbin Guo7Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR ChinaState Key Laboratory of Tribology, Tsinghua University, Beijing, 100084, PR ChinaDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR ChinaDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR ChinaDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR ChinaCenter of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory for Dental Materials, Beijing, PR ChinaDepartment of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR China; Corresponding author. Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, #22 Zhongguancun South Avenue, Haidian District, Beijing, 100081, PR China.Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology, National Center of Stomatology, National Clinical Research Center for Oral Diseases, National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, Beijing Key Laboratory of Digital Stomatology, Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health, NMPA Key Laboratory for Dental Materials, Beijing, PR ChinaThe present study aimed to predict the envelope surfaces from facial morphology. Condylar envelope surfaces for 34 healthy adults were formed and simplified as sagittal section curves. Cephalometric and maximum mandibular moving distances measurement were performed on the participants. There was no statistically significant difference (p = 0.763) between the left and right maximum lateral movements. There was a statistically significant difference in the mandibular body length between the sexes. The envelope surfaces were divided into type 1 with Hp2 ≥ 1/3 Hp1 and type 2 with Hp2 < 1/3 × Hp1. SNA and SNB for type 2 were significantly greater than those for type 1 (p < 0.001). Therefore, the participants were divided into four groups based on gender and envelope surface morphology. The curves could be fitted using the second-order Fourier function (R-square ≥0.95). Six facial parameters were selected and a matrix was used to map facial morphology to the envelope surface. Individual sagittal curves were predicted using the matrix and facial parameters, and the envelope surface was predicted using the curve and the condyle model. Deviation analysis for the predicted envelope surface using the actual envelope as a reference was carried out (root mean square = 0.9970 mm ± 0.2918 mm). This method may lay a foundation for the geometric design of artificial fossa components of temporomandibular joint replacement systems. It may improve prosthesis design without flexible tissue repair and guide the movement of the artificial joint head.http://www.sciencedirect.com/science/article/pii/S2405844023049770Envelope surfaceCondylar process movementFacial morphologyArtificial fossa componentCurve fittingMatrix
spellingShingle Kenan Chen
Zhehao Zhang
Junqi Jiang
Junlin Wang
Jing Wang
Yuchun Sun
Xiangliang Xu
Chuanbin Guo
Prediction of condylar movement envelope surface based on facial morphology
Heliyon
Envelope surface
Condylar process movement
Facial morphology
Artificial fossa component
Curve fitting
Matrix
title Prediction of condylar movement envelope surface based on facial morphology
title_full Prediction of condylar movement envelope surface based on facial morphology
title_fullStr Prediction of condylar movement envelope surface based on facial morphology
title_full_unstemmed Prediction of condylar movement envelope surface based on facial morphology
title_short Prediction of condylar movement envelope surface based on facial morphology
title_sort prediction of condylar movement envelope surface based on facial morphology
topic Envelope surface
Condylar process movement
Facial morphology
Artificial fossa component
Curve fitting
Matrix
url http://www.sciencedirect.com/science/article/pii/S2405844023049770
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