A comparison of two-dimensional prediction tracing and a virtual reality patient methods for diagnosis and treatment pla
- PDF / 951,371 Bytes
- 11 Pages / 595.276 x 790.866 pts Page_size
- 95 Downloads / 173 Views
ORIGINAL ARTICLE
A comparison of two‑dimensional prediction tracing and a virtual reality patient methods for diagnosis and treatment planning of orthognathic cases in dental students: a randomized preliminary study Scott M. Sakowitz1 · Marita R. Inglehart2 · Vidya Ramaswamy3 · Sean Edwards4 · Brandon Shoukri1 · Stephen Sachs5 · Hera Kim‑Berman1 Received: 14 December 2018 / Accepted: 23 November 2019 © Springer-Verlag London Ltd., part of Springer Nature 2019
Abstract Virtual reality patient (VR patient), a simulated patient module in a virtual reality environment allowing manipulation of the upper and lower jaws and chin in three planes of space, was developed to help students understand diagnosis and treatment planning of orthognathic surgical procedures. The objective was to compare student understanding in diagnosing and treatment planning complex orthognathic cases using the VR patient versus a conventional 2D prediction tracing method and to determine feasibility of utilizing VR methods. Thirty third year dental students were assigned randomly to an experimental (VR patient) or control (2D tracing) group. The dependent variables were a multiple choice question (MCQ) examination, baseline and exit surveys, and written case analysis of two cases. Student–teacher interactions were recorded for both length and type of interaction. Data were evaluated using descriptive and inferential statistics. The students’ performance on the MCQ examinations improved immediately following the educational intervention (p .928). Dental students were able to improve their understanding of diagnosis and treatment planning of orthognathic cases using both 2D prediction tracing and the VR patient methods. The method of scoring the written responses was reliable and reproducible and should be used for future full-scale studies. Keywords Virtual reality · Dental education · Orthognathic surgical prediction · Simulated patient · Orthodontics · Oral surgery
1
Scott M. Sakowitz [email protected]
Department of Orthodontics and Pediatric Dentistry, School of Dentistry, University of Michigan, 1011 N. University Ave, Ann Arbor, MI 48109‑1078, USA
2
Marita R. Inglehart [email protected]
Department of Periodontics and Oral Medicine, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
3
Vidya Ramaswamy [email protected]
School of Dentistry, University of Michigan, Ann Arbor, MI, USA
4
Sean Edwards [email protected]
Department of Oral and Maxillofacial Surgery, School of Dentistry, University of Michigan, Ann Arbor, MI, USA
5
New York Center for Orthognathic and Maxillofacial Surgery, Lake Success, NY, USA
* Hera Kim‑Berman [email protected]
Brandon Shoukri [email protected] Stephen Sachs [email protected]
13
Vol.:(0123456789)
1 Background The evolution of modern medical imaging technology and the advent of virtual reality technology has lead to advanced visualization methods to evaluate patient image data for the purposes of educational and clinical practice (Abhari et al. 2015; Agarwa
Data Loading...
