Literature DB >> 33876857

Trueness and Precision of Economical Smartphone-Based Virtual Facebow Records.

Junying Li1, Zhaozhao Chen1, Ann M Decker1, Hom-Lay Wang1, Tim Joda2, Gustavo Mendonca3, Luca Lepidi4.   

Abstract

PURPOSE: To investigate the trueness and precision of virtual facebow records using a smartphone as a three-dimensional (3D) face scanner.
MATERIAL AND METHODS: Twenty repeated virtual facebow records were performed on two subjects using a smartphone as a 3D face scanner. For each subject, a virtual facebow was attached to his/her maxillary arch, and face scans were performed using a smartphone with a 3D scan application. The subject's maxillary arch intraoral scan was aligned to the face scan by the virtual facebow fork. This procedure was repeated 10 times for each subject. To investigate if the maxillary scan is located at the right position to the face, these virtual facebow records were superimposed to a cone-beam computed tomography (CBCT) head scan from the same subject by matching the face scan to the 3D face reconstruction from CBCT images. The location of maxillary arch in virtual facebow records was compared with its position in CBCT. The "trueness" of the proposed procedure is defined as the deviation between maxilla arch position in virtual facebow records and the CBCT images. The "precision" is defined as the deviation between each virtual facebow record. The linear deviation at left central incisor (#9), left first molar (#14), and right first molar (#3), as well as angular deviation of occlusal plane were analyzed with descriptive statistics. Differences between two objects were also explored with Mann Whitney U test.
RESULTS: The 20 virtual facebow records using the smartphone 3D scanner deviated from the CBCT measurements (trueness) by 1.14 ± 0.40 mm at #9, 1.20 ± 0.50 mm at #14, 1.12 ± 0.51 mm at the #3, and 1.48 ± 0.56° in the occlusal plane. The VFTs deviated from each other by 1.06 ± 0.50 mm at #9, 1.09 ± 0.49 mm at #14, 1.11 ± 0.58 mm at #3, and 0.81 ± 0.58° in the occlusal plane. When all sites combined, the trueness was 1.14 ± 0.40 mm, and the precision was 1.08 ± 0.52 mm. Out of eight measurements, three measurements were significantly different between subjects. Nevertheless, the mean difference was small.
CONCLUSIONS: Virtual facebow records made using smartphone-based face scan can capture the maxilla position with high trueness and precision. The deviation can be anticipated as around 1 mm in linear distance and 1° in angulation.
© 2021 by the American College of Prosthodontists.

Entities:  

Keywords:  Face scan; dental articulator; digital dentistry; virtual articulator; virtual patient

Mesh:

Year:  2021        PMID: 33876857      PMCID: PMC8526632          DOI: 10.1111/jopr.13366

Source DB:  PubMed          Journal:  J Prosthodont        ISSN: 1059-941X            Impact factor:   2.752


  19 in total

1.  Virtual facebow technique.

Authors:  Eneko Solaberrieta; Asier Garmendia; Rikardo Minguez; Aritza Brizuela; Guillermo Pradies
Journal:  J Prosthet Dent       Date:  2015-09-12       Impact factor: 3.426

Review 2.  Systematic literature review of digital three-dimensional superimposition techniques to create virtual dental patients.

Authors:  Tim Joda; Urs Brägger; German Gallucci
Journal:  Int J Oral Maxillofac Implants       Date:  2015 Mar-Apr       Impact factor: 2.804

3.  Comparison of the accuracy of a 3-dimensional virtual method and the conventional method for transferring the maxillary cast to a virtual articulator.

Authors:  Eneko Solaberrieta; Rikardo Mínguez; Lander Barrenetxea; Jose Ramon Otegi; András Szentpétery
Journal:  J Prosthet Dent       Date:  2015-01-02       Impact factor: 3.426

4.  Photogrammetric and Intraoral Digital Impression Technique for the Rehabilitation of Multiple Unfavorably Positioned Dental Implants: A Clinical Report.

Authors:  Pedro Molinero-Mourelle; Walter Lam; Rocio Cascos-Sánchez; Luís Azevedo; Miguel Gómez-Polo
Journal:  J Oral Implantol       Date:  2019-08-20       Impact factor: 1.779

5.  A smartphone photogrammetry method for digitizing prosthetic socket interiors.

Authors:  Amaia Hernandez; Edward Lemaire
Journal:  Prosthet Orthot Int       Date:  2016-09-24       Impact factor: 1.895

Review 6.  Virtual Articulators and Virtual Mounting Procedures: Where Do We Stand?

Authors:  Luca Lepidi; Matthew Galli; Filiberto Mastrangelo; Pietro Venezia; Tim Joda; Hom-Lay Wang; Junying Li
Journal:  J Prosthodont       Date:  2020-09-02       Impact factor: 2.752

7.  Incorporating a facial scanner into the digital workflow: A dental technique.

Authors:  Stefano Granata; Lorenzo Giberti; Paolo Vigolo; Edoardo Stellini; Adolfo Di Fiore
Journal:  J Prosthet Dent       Date:  2019-10-04       Impact factor: 3.426

8.  Creating a virtual patient for completely edentulous computer-aided implant surgery: A dental technique.

Authors:  Junying Li; Celia Sommer; Hom-Lay Wang; Luca Lepidi; Tim Joda; Gustavo Mendonca
Journal:  J Prosthet Dent       Date:  2020-05-04       Impact factor: 3.426

9.  The virtual patient in dental medicine.

Authors:  Tim Joda; German O Gallucci
Journal:  Clin Oral Implants Res       Date:  2014-03-26       Impact factor: 5.977

Review 10.  The complete digital workflow in fixed prosthodontics: a systematic review.

Authors:  Tim Joda; Fernando Zarone; Marco Ferrari
Journal:  BMC Oral Health       Date:  2017-09-19       Impact factor: 2.757

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  2 in total

1.  Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics.

Authors:  Dariusz Pojda; Agnieszka Anna Tomaka; Leszek Luchowski; Michał Tarnawski
Journal:  Sensors (Basel)       Date:  2021-12-01       Impact factor: 3.576

2.  Integrating maxillary dentition and 3D facial photo using a modified CAD/CAM facebow.

Authors:  Peiqi Wang; Hui Xu; Rui Gu; Liwei Zhu; Ding Bai; Chaoran Xue
Journal:  BMC Oral Health       Date:  2022-08-26       Impact factor: 3.747

  2 in total

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