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Open AccessArticle

Predictive Model for Occlusal Vertical Dimension Determination and Digital Preservation with Three-Dimensional Facial Scanning

1
Department of Fixed Dental Prosthetics and Occlusion, Faculty of Dental Medicine, “Carol Davila” University of Medicine and Pharmacy, 19 Plevnei Ave., 010221 Bucharest, Romania
2
Department of Dental Techniques, Faculty of Midwifery and Medical Assisting (FMAM), “Carol Davila” University of Medicine and Pharmacy, 8, Eroilor Sanitari Blvd, 050474 Bucharest, Romania
3
Department of Medical Informatics and Biostatistics, Faculty of Medicine, “Carol Davila” University of Medicine and Pharmacy, 8, Eroilor Sanitari Blvd, 050474 Bucharest, Romania
*
Author to whom correspondence should be addressed.
These three authors contributed equally to this work.
Appl. Sci. 2020, 10(21), 7890; https://doi.org/10.3390/app10217890
Received: 20 October 2020 / Revised: 30 October 2020 / Accepted: 2 November 2020 / Published: 6 November 2020
(This article belongs to the Special Issue New Frontiers in Orofacial Diagnosis and Clinical Approach)
(1) Background: Occlusal vertical dimension (OVD) in the optimal maxillo–mandibular relationship is an important parameter to establish when complex dental rehabilitation has to be done. The optimal method to measure OVD is still a challenge in everyday practice. The aim of the present study was to test the reliability of the correlation between OVD and some anthropometric and cephalometric methods described in the literature. The validity of OVD registration using a facial scanner was also assessed. (2) Materials and Methods: 150 dentate participants, aged 20–25 years, were randomly selected using sealed envelopes. Anthropometric measurements between specific standard points were performed: Subnasion–Prementon (Sn–PM) and Subnasion–Gnation (Sn–Gn) in maximum intercuspation and in the rest mandibular position, right and left pupil to the corresponding chelion. The cephalometric measurements registered were the lower facial angle and the angle between mandibular and Frankfurt planes. The distance Sn–Gn in maximum intercuspation was compared to all other parameters. Facial scanning, with a mobile phone and installed dedicated application, was performed on ten subjects, randomly selected using the same method among the participants, and the obtained 3D files were analyzed. The digital measurements were compared, for validity, to the clinical measurements. Pearson’s correlation coefficient was used, for comparing clinical Sn–Gn in maximum intercuspation position to the other parameters. (3) Results: A strong agreement between all measured anthropometric parameters of the facial scan and clinical contact measurement method was registered. None of the measured parameters could predict the exact OVD. (4) Conclusions: In the limits of our study, the facial scanning could be used for predictable registration of OVD and the stored digital information could be preserved through life and use for oral rehabilitation. However, if OVD needs to be determined, several measurement methods, including cephalometric measurements, need to be used simultaneously to reach a final decision. View Full-Text
Keywords: vertical dimension; anthropometry; cephalometry; prosthodontics vertical dimension; anthropometry; cephalometry; prosthodontics
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MDPI and ACS Style

Oancea, L.; Burlibasa, M.; Petre, A.E.; Panaitescu, E.; Cristache, C.M. Predictive Model for Occlusal Vertical Dimension Determination and Digital Preservation with Three-Dimensional Facial Scanning. Appl. Sci. 2020, 10, 7890. https://doi.org/10.3390/app10217890

AMA Style

Oancea L, Burlibasa M, Petre AE, Panaitescu E, Cristache CM. Predictive Model for Occlusal Vertical Dimension Determination and Digital Preservation with Three-Dimensional Facial Scanning. Applied Sciences. 2020; 10(21):7890. https://doi.org/10.3390/app10217890

Chicago/Turabian Style

Oancea, Luminita; Burlibasa, Mihai; Petre, Alexandru E.; Panaitescu, Eugenia; Cristache, Corina M. 2020. "Predictive Model for Occlusal Vertical Dimension Determination and Digital Preservation with Three-Dimensional Facial Scanning" Appl. Sci. 10, no. 21: 7890. https://doi.org/10.3390/app10217890

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