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Accuracy of 3-dimensional soft tissue prediction for orthognathic surgery in a Chinese population.

Authors :
Lee KJC
Tan SL
Low HYA
Chen LJ
Yong CW
Chew MT
Source :
Journal of stomatology, oral and maxillofacial surgery [J Stomatol Oral Maxillofac Surg] 2022 Oct; Vol. 123 (5), pp. 551-555. Date of Electronic Publication: 2021 Aug 13.
Publication Year :
2022

Abstract

Objectives: This study aims to determine the validity of a 3D planning software in predicting the soft tissue outcome of Chinese patients undergoing orthognathic surgery for correction of Skeletal III dentofacial deformity.<br />Methods: Pre- and post-operative 3D facial stereophotogrammetric scans and cone beam computed tomography were taken for 10 Chinese patients who had underwent orthognathic surgery. The pre-operative 3D facial scan was integrated with the pre-operative CBCT using the ProPlan CMF software. The simulated soft tissue 3D face was then compared with the actual 3D facial scan obtained at least 6 months postoperatively. Two outcome measures were computed as follows (i) mean absolute difference between meshes (ii) percentage of points where the distance between the two meshes is 2mm or less.<br />Results: The mean absolute difference between the predicted and actual soft tissue surface meshes for the full face and the 6 anatomic regions ranged from 0.72mm to 1.42 mm. The mean absolute distance between the meshes for all the anatomic regions were within 2 mm (p<0.05). The percentage of mesh points with less than 2mm error ranged from 72.5% to 92.5%. The accuracy of soft tissue prediction, assessed using mean absolute distance for the full face, was significantly correlated to the amount of sagittal surgical movement (r=0.707, p=0.022). The lower lip was also found to be the least accurate.<br />Conclusions: Using ProPlan CMF, the accuracy of 3D soft tissue predictions for bimaxillary orthognathic surgery in Chinese Skeletal III patients were clinically satisfactory.<br />Competing Interests: Conflict of Interest Nil conflict of interest to be declared<br /> (Copyright © 2021. Published by Elsevier Masson SAS.)

Details

Language :
English
ISSN :
2468-7855
Volume :
123
Issue :
5
Database :
MEDLINE
Journal :
Journal of stomatology, oral and maxillofacial surgery
Publication Type :
Academic Journal
Accession number :
34400374
Full Text :
https://doi.org/10.1016/j.jormas.2021.08.001