Quantification and visualization of the tooth extraction effects on face with spatially dense geometric morphometrics.

extraction vs. non-extraction facial morphological changes geometric morphometrics

Journal

Orthodontics & craniofacial research
ISSN: 1601-6343
Titre abrégé: Orthod Craniofac Res
Pays: England
ID NLM: 101144387

Informations de publication

Date de publication:
May 2023
Historique:
revised: 12 06 2022
received: 26 03 2022
accepted: 17 06 2022
medline: 4 4 2023
pubmed: 26 6 2022
entrez: 25 6 2022
Statut: ppublish

Résumé

To apply geometric morphometrics and multivariate statistics to evaluate changes of the face for female Chinese patients who underwent orthodontic treatment with different type of anchorage control. Forty-six adult female patients were enrolled including 33 four first premolar extraction cases (17 patients with mini-implants for maximum anchorage control and 16 patients without mini-implants) and 13 non-extraction cases with minimum treatment duration of 15 months. Spatially dense correspondence was established among all the images The pre-and post-treatment average faces of the two extraction groups and the non-extraction group were generated. Partial least squares regression was used to test the statistical significance of the effects of treatment for different anchorage choice. The upper and lower lips were retruded significantly after treatment in the extraction groups. In the maximum anchorage control group, the temple and cheek were depressed by approximately 1 mm, and the zygomatic regions were increased in the mid-face. However, these changes were not statistically significant. In comparison, no statistically significant facial changes occurred in the non-extraction group. The anchorage choice and the removal of four first premolar extraction influence lip shape as well as the perioral regions. However, extraction treatment does not impact the appearance of the cheeks and temples on a statistically level, as compared to orthodontic treatment without premolar extractions. Spatially dense geometric morphometric facilitates comprehensive treatment effect quantification and visualization on the full facial changes for improving orthodontic outcome evaluation.

Identifiants

pubmed: 35751510
doi: 10.1111/ocr.12597
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

171-177

Subventions

Organisme : Beijing Municipal Science and Technology Commission
Organisme : National Natural Science Foundation of China

Informations de copyright

© 2022 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

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Auteurs

Yi Fan (Y)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.
Facial Science, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.

Zhiyu Liu (Z)

Second Dental Center, Peking University School and Hospital of Stomatology, Beijing, China.

Gui Chen (G)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

Bing Han (B)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

Guangying Song (G)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

Harold Matthews (H)

Facial Science, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Department of Human Genetics, KU Leuven, Leuven, Belgium.
Medical Imaging Research Centre, Universitair Ziekenhuis, Leuven, Belgium.

Peter Claes (P)

Facial Science, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
Department of Human Genetics, KU Leuven, Leuven, Belgium.
Medical Imaging Research Centre, Universitair Ziekenhuis, Leuven, Belgium.
Department of Electrical Engineering, KU Leuven, Leuven, Belgium.

Ruoping Jiang (R)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

Tianmin Xu (T)

Department of Orthodontics, Peking University School and Hospital of Stomatology, Beijing, China.
National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China.

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