DIVA, a 3D Virtual Reality Platform, Improves Undergraduate Craniofacial Trauma Education
Overview
General Surgery
Authors
Affiliations
Craniofacial fractures management is challenging to teach due to the complex anatomy of the head, even when using three-dimensional CT-scan images. DIVA is a software allowing the straightforward visualization of CT-scans in a user-friendly three-dimensional virtual reality environment. Here, we assess DIVA as an educational tool for craniofacial trauma for undergraduate medical students. Three craniofacial trauma cases (jaw fracture, naso-orbital-ethmoid complex fracture and Le Fort 3 fracture) were submitted to 50 undergraduate medical students, who had to provide diagnoses and treatment plans. Each student then filled an 8-item questionnaire assessing satisfaction, potential benefit, ease of use and tolerance. Additionally, 4 postgraduate students were requested to explore these cases and to place 6 anatomical landmarks on both virtual reality renderings and usual slice-based three-dimensional CT-scan visualizations. High degrees of satisfaction (98%) without specific tolerance issues (86%) were reported. The potential benefit in a better understanding of craniofacial trauma using virtual reality was reported by almost all students (98%). Virtual reality allowed a reliable localization of key anatomical landmarks when compared with standard three-dimensional CT-scan visualization. Virtual reality interfaces such DIVA are beneficial to medical students for a better understanding of craniofacial trauma and allow a reliable rendering of craniofacial anatomy.
Junga A, Schulze H, Scherzer S, Hatscher O, Bozdere P, Schmidle P BMC Med Educ. 2024; 24(1):1413.
PMID: 39627755 PMC: 11616111. DOI: 10.1186/s12909-024-06337-7.
Trends in Preoperative Airway Assessment.
Marchis I, Negrut M, Blebea C, Crihan M, Alexa A, Breazu C Diagnostics (Basel). 2024; 14(6).
PMID: 38535030 PMC: 10968937. DOI: 10.3390/diagnostics14060610.
Dubron K, Verbist M, Jacobs R, Olszewski R, Shaheen E, Willaert R J Clin Med. 2023; 12(16).
PMID: 37629251 PMC: 10455745. DOI: 10.3390/jcm12165203.
Extended Reality in Diagnostic Imaging-A Literature Review.
Kukla P, Maciejewska K, Strojna I, Zapal M, Zwierzchowski G, Bak B Tomography. 2023; 9(3):1071-1082.
PMID: 37368540 PMC: 10303875. DOI: 10.3390/tomography9030088.
Three-dimensional virtual reality in surgical planning for breast cancer with reconstruction.
De La Cruz-Ku G, Mallouh M, Torres Roman J, Linshaw D SAGE Open Med Case Rep. 2023; 11:2050313X231179299.
PMID: 37325162 PMC: 10262605. DOI: 10.1177/2050313X231179299.