Suscribirse

Accuracy of 3-dimensional soft tissue prediction for orthognathic surgery in a Chinese population - 24/08/21

Doi : 10.1016/j.jormas.2021.08.001 
KER JIA CHERYL LEE a, , SUAT LI TAN b , HUI YIN ADA LOW c , LU JIE CHEN d , CHEE WENG YONG e , MING TAK CHEW f
a National Dental Centre, Level 8, Academic Clinical Program (ACP) Office, 5 Second Hospital Ave, 168938, Singapore 
b National Dental Centre, Singapore, Address: 5 Second Hospital Ave, 168938, Singapore 
c National Dental Centre, Singapore, Address: 5 Second Hospital Ave, 168938, Singapore 
d Singapore University of Technology and Design, Address: 8 Somapah Road, 487372, Singapore 
e National University of Singapore, Address: 21 Lower Kent Ridge Road, 119077, Singapore 
f National Dental Centre, Singapore, Address: 5 Second Hospital Ave, 168938, Singapore 

Corresponding author at: National Dental Centre, Level 8, Academic Clinical Program (ACP) Office, 5 Second Hospital Ave, 168938, Singapore.National Dental CentreLevel 8, Academic Clinical Program (ACP) Office, 5 Second Hospital Ave168938Singapore
En prensa. Pruebas corregidas por el autor. Disponible en línea desde el Tuesday 24 August 2021
This article has been published in an issue click here to access

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.

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.

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.

Conclusions

Using ProPlan CMF, the accuracy of 3D soft tissue predictions for bimaxillary orthognathic surgery in Chinese Skeletal III patients were clinically satisfactory.

El texto completo de este artículo está disponible en PDF.

Keywords : Orthognathic surgery, Virtual surgical planning, Simulation, 3D planning, Digital dentistry


Esquema


© 2021  Publicado por Elsevier Masson SAS.
Añadir a mi biblioteca Eliminar de mi biblioteca Imprimir
Exportación

    Exportación citas

  • Fichero

  • Contenido

Bienvenido a EM-consulte, la referencia de los profesionales de la salud.
El acceso al texto completo de este artículo requiere una suscripción.

¿Ya suscrito a @@106933@@ revista ?

Mi cuenta


Declaración CNIL

EM-CONSULTE.COM se declara a la CNIL, la declaración N º 1286925.

En virtud de la Ley N º 78-17 del 6 de enero de 1978, relativa a las computadoras, archivos y libertades, usted tiene el derecho de oposición (art.26 de la ley), el acceso (art.34 a 38 Ley), y correcta (artículo 36 de la ley) los datos que le conciernen. Por lo tanto, usted puede pedir que se corrija, complementado, clarificado, actualizado o suprimido información sobre usted que son inexactos, incompletos, engañosos, obsoletos o cuya recogida o de conservación o uso está prohibido.
La información personal sobre los visitantes de nuestro sitio, incluyendo su identidad, son confidenciales.
El jefe del sitio en el honor se compromete a respetar la confidencialidad de los requisitos legales aplicables en Francia y no de revelar dicha información a terceros.


Todo el contenido en este sitio: Copyright © 2024 Elsevier, sus licenciantes y colaboradores. Se reservan todos los derechos, incluidos los de minería de texto y datos, entrenamiento de IA y tecnologías similares. Para todo el contenido de acceso abierto, se aplican los términos de licencia de Creative Commons.