A comparison of virtually mounted dental casts from traditional facebow records, average values, and 3D facial scans.


Journal

The Journal of prosthetic dentistry
ISSN: 1097-6841
Titre abrégé: J Prosthet Dent
Pays: United States
ID NLM: 0376364

Informations de publication

Date de publication:
02 Apr 2022
Historique:
received: 12 12 2021
revised: 28 02 2022
accepted: 01 03 2022
entrez: 6 4 2022
pubmed: 7 4 2022
medline: 7 4 2022
Statut: aheadofprint

Résumé

Although average values and facebow records have been incorporated into prosthetic dentistry with much success, little is known about how using 3D facial scans for mounting compare with traditional mounting methods. The purpose of this pilot clinical study was to determine differences in measurements among casts mounted virtually by using the average values of the Bonwill triangle and the Balkwill angle, casts mounted by using facebow records, and casts mounted from 3D facial scans. Intraoral digital scans were obtained from each participant (n=10) and 3D printed in resin. For the facebow preservation group (FPG), a facebow record was used to mount the resin casts on a semiadjustable articulator. A desktop scanner was used to digitize this mounting while preserving the facebow record. The average mounting group (AMG) consisted of intraoral digital scans that were mounted virtually by using the concepts of the Bonwill triangle and the Balkwill angle. For the facial scan group (FSG), the participants' digitized casts were superimposed on the facial scans by using a target system. The Bergstrom point and the glabella were used to mount these casts and their associated facial scans in the digital environment. This study used the FPG as the group to compare with the other mounting techniques because of its wide acceptance in restorative dentistry. These virtual mountings were completed in a computer-aided design software program, and the distance from right and left condylar elements to the incisal embrasure between mandibular central incisors, distance from left mandibular first molar to left condylar element and from right mandibular first molar to right condylar element, and anterior and posterior recordings at 0 mm, 3 mm, and 5 mm of vertical dimension increase were recorded. A Kruskal-Wallis 1-way analysis of variance was performed (α=.05). The Mann-Whitney U test was performed to evaluate differences in measured values among groups, and multiple comparisons were adjusted by using Bonferroni correction. All anterior and posterior measurements to the condylar elements of the virtual articulator were found to be significantly different (P<.05). Both anterior and posterior condylar measurements between the FPG and the AMG were found to be significantly different (P<.05), while comparisons between the FPG and the FSG were found not to be significantly different (P>.05). All changes in vertical dimension were found not to be significantly different with respect to both anterior and posterior measurements (P>.05). When used to virtually mount dental casts, 3D facial scanners performed similarly to traditional facebow records.

Identifiants

pubmed: 35382941
pii: S0022-3913(22)00146-9
doi: 10.1016/j.prosdent.2022.03.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2022 Editorial Council for The Journal of Prosthetic Dentistry. Published by Elsevier Inc. All rights reserved.

Auteurs

Natalie Inoue (N)

Graduate student, Advanced Graduate Prosthodontics, Department of Restorative Dentistry and Biomaterial Sciences, Harvard School of Dental Medicine, Boston, Mass.

Rebecca Scialabba (R)

Dental student, Harvard School of Dental Medicine, Boston, Mass.

Jason D Lee (JD)

Instructor, Department of Restorative Dentistry and Biomaterial Sciences, Harvard School of Dental Medicine, Boston, Mass.

Sang J Lee (SJ)

Assistant Professor, Department of Restorative Dentistry and Biomaterial Sciences, Harvard School of Dental Medicine, Boston, Mass. Electronic address: sang_lee@hsdm.harvard.edu.

Classifications MeSH