Three‐dimensional soft tissue changes in orthodontic extraction and non‐extraction patients: A prospective study

Rongo, Roberto; Nissen, Line; Leroy, Cécile; Michelotti, Ambrosina; Cattaneo, Paolo M.; Cornelis, Marie A.

doi:10.1111/ocr.12506

Cited by 14 publications

(8 citation statements)

References 35 publications

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“…This agrees with the changes in the upper and lower lips described in two previous 3D studies. These found significant correlations between incisor position and vermilion angles, vermilion height, and surface area in the extraction groups 23,24 . Furthermore, we detected hollowing of the cheeks and temples in some patients in the maximum anchorage group.…”

Section: Discussionmentioning

confidence: 55%

“…These found significant correlations between incisor position and vermilion angles, vermilion height, and surface area in the extraction groups. 23,24 Furthermore, we detected hollowing of the cheeks and temples in some patients in the maximum anchorage group. These changes were similar to the "bracket face" phenomenon, which is the soft tissue depression in the cheeks and temples during orthodontic treatment noticed by Chinese female patients.…”

Section: Discussionmentioning

confidence: 83%

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

Fan

Liu

Chen

et al. 2022

Orthod Craniofacial Res

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Purpose 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. Methods 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. Results 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. Conclusions 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.

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Section: Discussionmentioning

confidence: 55%

Section: Discussionmentioning

confidence: 83%

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

Fan

Liu

Chen

et al. 2022

Orthod Craniofacial Res

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“…Adding 3D facial information to an intraoral scan benefits a more detailed analysis in cases of asymmetry and cleft lip and/or palate patients [76,77]. Research has underlined that soft tissue information derived from facial scans favors the reliability of the evaluation of the outcome in orthognathic and extraction cases [78,79].…”

Section: Alignersmentioning

confidence: 99%

Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

Pouliezou,

Gravia,

Vasoglou

2024

Oral

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Digital models and three-dimensional technology in orthodontics have become an integral part of everyday clinical practice. Nevertheless, there is currently no consensus regarding in which cases a digital model is really necessary. Therefore, this scoping review aims to identify and assess which orthodontic procedures require a digital model. This review’s reporting was based on PRISMA guidelines. A literature search was undertaken using five electronic databases on 17 February 2024. A total of 87 studies met the inclusion criteria and were qualitatively analyzed by three reviewers. The following aspects of orthodontic treatment were identified and discussed with regard to digital model application: diagnosis, treatment procedures, retention, and outcome evaluation in orthodontics. Based on the studies assessed, despite some limitations regarding radiation exposure justification and the accuracy of the integration methods of 3D data, there is evidence that digital models lead to more accurate orthodontic diagnosis and treatment planning. In cases of impacted canines, aligner treatment, mini-implants insertion (when angle definition and orientation are essential), and primary care for cleft lip and palate, a partial digital model produced by an integration of some of the 3D data (face scan, intraoral scan, CBCT) that we can acquire is beneficial. A full digital model that combines all the 3D information should be used in orthognathic surgery cases, in which prediction and accurate performance are highly advocated.

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“…Rongo et al shows that a 3D stereophotogrammetric analysis allows for a more comprehensive assessment of the facial soft tissue effects by extraction and non-extraction treatment. 31 Etemad et al applied AI in this extraction issue and demonstrated that a denoise machine learning technique could improve the prediction for a diverse patient population. 32 We sincerely appreciate the opportunity to serve as the guest editors for this issue and wish to thank the editor-in-chief, Dr Ambra Michelotti and Wiley.…”

Section: G U E S T E D I T O R I a L Artificial Intelligence And Mach...mentioning

confidence: 99%

“…This decision is not made simply based on morphological dental and/or skeletal problems, rather it is influenced by various factors. Rongo et al shows that a 3D stereophotogrammetric analysis allows for a more comprehensive assessment of the facial soft tissue effects by extraction and non‐extraction treatment 31 . Etemad et al applied AI in this extraction issue and demonstrated that a denoise machine learning technique could improve the prediction for a diverse patient population.…”

mentioning

confidence: 99%

Artificial intelligence and machine learning in orthodontics

Yamashiro

2021

Orthod Craniofacial Res

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Three‐dimensional soft tissue changes in orthodontic extraction and non‐extraction patients: A prospective study

Cited by 14 publications

References 35 publications

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

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

Digital Model in Orthodontics: Is It Really Necessary for Every Treatment Procedure? A Scoping Review

Artificial intelligence and machine learning in orthodontics

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