CoChat
Sign Up
Cited by 34Surgical Simulation and TrainingSimulation-Based Education in HealthcareAnatomy and Medical Technology

Decentralized virtual reality training of mastoidectomy improves cadaver dissection performance: a prospective, controlled cohort study

Frendø, Martin, Konge, Lars, Cayé-Thomasen, Per, Sørensen, Mads Sølvsten, Andersen, Steven Arild Wuyts·2020·Otology & Neurotology
DOI 10.1097/mao.0000000000002541
Open this paper in CoChat — free account

Abstract

OBJECTIVE: Virtual reality (VR) simulation training can improve temporal bone (TB) cadaver dissection skills and distributed, self-regulated practice is optimal for skills consolidation. Decentralized training (DT) at the trainees' own department or home offers more convenient access compared with centralized VR simulation training where the simulators are localized at one facility. The effect of DT in TB surgical training is unknown. We investigated the effect of decentralized VR simulation training of TB surgery on subsequent cadaver dissection performance. STUDY DESIGN: Prospective, controlled cohort study. SETTING: Otorhinolaryngology (ORL) teaching hospitals and the Danish national TB course. PARTICIPANTS: Thirty-eight ORL residents: 20 in the intervention cohort (decentralized training) and 18 in the control cohort (standard training during course). INTERVENTION: Three months of access to decentralized VR simulation training at the local ORL department or the trainee's home. A freeware VR simulator (the visible ear simulator [VES]) was used, supplemented by a range of learning supports for directed, self-regulated learning. MAIN OUTCOME MEASURE: Mastoidectomy final-product scores from the VR simulations and cadaver dissection were rated using a modified Welling Scale by blinded expert raters. RESULTS: Participants in the intervention cohort trained decentrally a median of 3.5 hours and performed significantly better than the control cohort during VR simulation (p < 0.01), which importantly also transferred to a 76% higher performance score during subsequent cadaver training (mean scores: 8.8 versus 5.0 points; p < 0.001). CONCLUSIONS: Decentralized VR simulation training of mastoidectomy improves subsequent cadaver dissection performance and can potentially improve implementation of VR simulation surgical training.

Integrity signals

Registry

Crossref · 10.1097/mao.0000000000002541

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • In a study of surgical trainees, training on a freeware VR simulator for mastoidectomy resulted in significantly greater improvement in surgical dissection than standard training.

    “In a recent study [30], two groups of surgical trainees were subjected to different methods for Mastoidectomy, where one group (n=18) would go through the standard training path and the other would train on a freeware VR simulator [the visible ear simulator (VES)]. At the end of the training, a significant improvement in surgical dissection was observed for those who trained with VR.”

    From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [30]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
Frendø, M., Konge, L., Cayé-Thomasen, P., Sørensen, M. S., & Andersen, S. A. W.
Affiliations
  • Rigshospitalet (DK)
  • Copenhagen Academy for Medical Education and Simulation (DK)
  • Department of Otorhinolaryngology–Head & Neck Surgery and Audiology, Rigshospitalet, Copenhagen
Corresponding author
  • Frendø, Martin
  • Sørensen, Mads Sølvsten
  • Andersen, Steven Arild Wuyts
ORCID
Venue
Otology & Neurotology
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2020-04
Volume
41
Issue
4
Pages
476-481
ISSN
  • 1531-7129 (ISSN-L)
  • 1537-4505
DOI
10.1097/mao.0000000000002541
OpenAlex
W2997544251
Cited by
34
References
29
Citations by year
2026: 3 · 2025: 3 · 2024: 5 · 2023: 6 · 2022: 9 · 2021: 5 · 2020: 3
FWCI
4.09
Type
journal article
Language
en
Open access
closed
Locations
  • Otology & Neurotology (publishedVersion)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion)
Topics
  • Health Sciences › Medicine › Surgery › Surgical Simulation and Training
  • Health Sciences › Medicine › Physiology › Simulation-Based Education in Healthcare
  • Physical Sciences › Engineering › Biomedical Engineering › Anatomy and Medical Technology
Keywords
virtual reality simulation, mastoidectomy, decentralized learning, cadaveric dissection, temporal bone surgery, surgical skills training, student self-regulation, skill transfer
MeSH terms
Simulation Training, Mastoidectomy, Virtual Reality, Cadaver, Clinical Competence, Computer Simulation, Dissection, Humans, Internship and Residency, Mastoid, Prospective Studies, User-Computer Interface, Cohort Studies

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review