Back to Search Start Over

Reproducibility and reliability of digital occlusal planning for orthognathic surgery.

Authors :
Almadi D
Benington P
Ju X
Ayoub A
Source :
International journal of oral and maxillofacial surgery [Int J Oral Maxillofac Surg] 2023 Oct; Vol. 52 (10), pp. 1074-1080. Date of Electronic Publication: 2023 Mar 21.
Publication Year :
2023

Abstract

The digital articulation of dental models is gradually replacing the conventional physical approach for occlusal prediction planning. This study was performed to compare the accuracy and reproducibility of free-hand articulation of two groups of digital and physical dental models, 12 Class I (group 1) and 12 Class III (group 2). The models were scanned using an intraoral scanner. The physical and digital models were independently articulated 2 weeks apart by three orthodontists to achieve the maximum inter-digitation, with coincident midlines and a positive overjet and overbite. The occlusal contacts provided by the software color-coded maps were assessed and the differences in the pitch, roll, and yaw were measured. The reproducibility of the achieved occlusion of both the physical and digital articulation was excellent. The z-axis displayed the smallest absolute mean differences of 0.10 ± 0.08 mm and 0.27 ± 0.24 mm in the repeated physical and repeated digital articulations, respectively, both in group 2. The largest discrepancies between the two methods of articulation were in the y-axis (0.76 ± 0.60 mm, P = 0.010) and in roll (1.83° ± 1.72°, P = 0.005). The overall measured differences were< 0.8 mm and< 2°. Despite the steep learning curve, digital occlusal planning is accurate enough for clinical applications.<br /> (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1399-0020
Volume :
52
Issue :
10
Database :
MEDLINE
Journal :
International journal of oral and maxillofacial surgery
Publication Type :
Academic Journal
Accession number :
36941160
Full Text :
https://doi.org/10.1016/j.ijom.2023.03.001