Literature DB >> 31474272

Accuracy of Dental Monitoring 3D digital dental models using photograph and video mode.

Ryan S Morris1, Lauren N Hoye1, Mohammed H Elnagar2, Phimon Atsawasuwan3, Maria Therese Galang-Boquiren3, Jennifer Caplin3, Grace Costa Viana3, Ales Obrez3, Budi Kusnoto3.   

Abstract

INTRODUCTION: This study aimed to test the accuracy of the 3-dimensional (3D) digital dental models generated by the Dental Monitoring (DM) smartphone application in both photograph and video modes over successive DM examinations in comparison with 3D digital dental models generated by the iTero Element intraoral scanner.
METHODS: Ten typodonts with setups of class I malocclusion and comparable severity of anterior crowding were used in the study. iTero Element scans along with DM examination in photograph and video modes were performed before tooth movement and after each set of 10 Invisalign aligners for each typodont. Stereolithography (STL) files generated from the DM examinations in photograph and video modes were superimposed with the STL files from the iTero scans using GOM Inspect software to determine the accuracy of both photograph and video modes of DM technology.
RESULTS: No clinically significant differences, according to the American Board of Orthodontics-determined standards, were found. Mean global deviations for the maxillary arch ranged from 0.00149 to 0.02756 mm in photograph mode and from 0.0148 to 0.0256 mm in video mode. Mean global deviations for the mandibular arch ranged from 0.0164 to 0.0275 mm in photograph mode and from 0.0150 to 0.0264 mm in video mode. Statistically significant differences were found between the 3D models generated by the iTero and the DM application in photograph and video modes over successive DM examinations.
CONCLUSIONS: 3D digital dental models generated by the DM smartphone application in photograph and video modes are accurate enough to be used for clinical applications. Published by Elsevier Inc.

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Mesh:

Year:  2019        PMID: 31474272     DOI: 10.1016/j.ajodo.2019.02.014

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  6 in total

1.  Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.

Authors:  Suk-Cheol Lee; Hyeon-Shik Hwang; Kyungmin Clara Lee
Journal:  Prog Orthod       Date:  2022-05-09       Impact factor: 3.247

Review 2.  Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis.

Authors:  Andrej Thurzo; Wanda Urbanová; Bohuslav Novák; Ladislav Czako; Tomáš Siebert; Peter Stano; Simona Mareková; Georgia Fountoulaki; Helena Kosnáčová; Ivan Varga
Journal:  Healthcare (Basel)       Date:  2022-07-08

3.  Clinical outcomes and patient perspectives of Dental Monitoring® GoLive® with Invisalign®-a retrospective cohort study.

Authors:  Ismaeel Hansa; Steven J Semaan; Nikhilesh R Vaid
Journal:  Prog Orthod       Date:  2020-06-15       Impact factor: 2.750

4.  Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System.

Authors:  Andrej Thurzo; Veronika Kurilová; Ivan Varga
Journal:  Healthcare (Basel)       Date:  2021-12-07

5.  Accuracy of Dental Photography: Professional vs. Smartphone's Camera.

Authors:  Carol Moussa; Louis Hardan; Cynthia Kassis; Rim Bourgi; Walter Devoto; Gilbert Jorquera; Saurav Panda; Roy Abou Fadel; Carlos Enrique Cuevas-Suárez; Monika Lukomska-Szymanska
Journal:  Biomed Res Int       Date:  2021-12-15       Impact factor: 3.411

6.  Remote digital monitoring during the retention phase of orthodontic treatment: A prospective feasibility study.

Authors:  Linda Sangalli; Fabio Savoldi; Domenico Dalessandri; Luca Visconti; Francesca Massetti; Stefano Bonetti
Journal:  Korean J Orthod       Date:  2022-03-25       Impact factor: 1.372

  6 in total

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