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Harnessing Augmented Reality and CT to Teach First-Year Medical Students Head and Neck Anatomy

Authors :
Joanna K. Weeks
Stephen Prouty
Jina Pakpoor
Neal A. Rubinstein
B. Park
Nicole J. Robinson
Arun C. Nachiappan
Source :
Acad Radiol
Publication Year :
2020
Publisher :
Elsevier BV, 2020.

Abstract

RATIONALE AND OBJECTIVES: Three-dimensional (3D) visualization has been shown to benefit new generations of medical students and physicians-in-training in a variety of contexts. However, there is limited research directly comparing student performance after using 3Dtools to those using two-dimensional (2D) screens. MATERIALS AND METHODS: A CT was performed on a donated cadaver and a 3D CT hologram was created. A total of 30 first-year medical students were randomly assigned into two groups to review head and neck anatomy in a teaching session that incorporated CT. The first group used an augmented reality headset, while the second group used a laptop screen. The students were administered a five-question anatomy test before and after the session. Two-tailed t-tests were used for statistical comparison of pretest and posttest performance within and between groups. A feedback survey was distributed for qualitative data. RESULTS: Pretest vs. posttest comparison of average percentage of questions answered correctly demonstrated both groups showing significant in-group improvement (p < 0.05), from 59% to 95% in the augmented reality group, and from 57% to 80% in the screen group. Between-group analysis indicated that posttest performance was significantly better in the augmented reality group (p = 0.022, effect size = 0.73). CONCLUSION: Immersive 3D visualization has the potential to improve short-term anatomic recall in the head and neck compared to traditional 2D screen-based review, as well as engage millennial learners to learn better in anatomy laboratory. Our findings may reflect additional benefit gained from the stereoscopic depth cues present in augmented reality-based visualization.

Details

ISSN :
10766332
Database :
OpenAIRE
Journal :
Academic Radiology
Accession number :
edsair.doi.dedup.....207e3b299ddd0344ab986677adcd5ffb