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


Journal

Academic radiology
ISSN: 1878-4046
Titre abrégé: Acad Radiol
Pays: United States
ID NLM: 9440159

Informations de publication

Date de publication:
06 2021
Historique:
received: 24 03 2020
revised: 30 06 2020
accepted: 05 07 2020
pubmed: 24 8 2020
medline: 8 6 2021
entrez: 24 8 2020
Statut: ppublish

Résumé

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 3D tools to those using two-dimensional (2D) screens. 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. 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). 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.

Identifiants

pubmed: 32828663
pii: S1076-6332(20)30424-4
doi: 10.1016/j.acra.2020.07.008
pmc: PMC8011826
mid: NIHMS1678977
pii:
doi:

Types de publication

Journal Article Randomized Controlled Trial

Langues

eng

Sous-ensembles de citation

IM

Pagination

871-876

Subventions

Organisme : NIBIB NIH HHS
ID : T32 EB004311
Pays : United States

Commentaires et corrections

Type : CommentIn
Type : CommentIn

Informations de copyright

Copyright © 2020 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Auteurs

Joanna K Weeks (JK)

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Suite 130, Philadelphia, PA.

Jina Pakpoor (J)

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Suite 130, Philadelphia, PA.

Brian J Park (BJ)

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Suite 130, Philadelphia, PA.

Nicole J Robinson (NJ)

Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Neal A Rubinstein (NA)

Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Stephen M Prouty (SM)

Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Arun C Nachiappan (AC)

Department of Radiology, University of Pennsylvania, 3400 Spruce Street, 1 Silverstein, Suite 130, Philadelphia, PA. Electronic address: arun.nachiappan@pennmedicine.upenn.edu.

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Classifications MeSH