Evidence map›Paper›PMID 30215180›Full record

ReviewJournal of digital imaging2019

Applying Modern Virtual and Augmented Reality Technologies to Medical Images and Models.

Justin Sutherland, Jason Belec, Adnan Sheikh, Leonid Chepelev, Waleed Althobaity, Benjamin J W Chow, Dimitrios Mitsouras, Andy Christensen, Frank J Rybicki, Daniel J La Russa

Abstract readReview
In one paragraph

Review in Journal of digital imaging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

92 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  13. Visualization of Medical Record with 3D Human Body Models.Healthcare (Basel, Switzerland) · 2025
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32 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Justin SutherlandDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada. jussutherland@toh.ca.ORCID 0000-0001-5375-6846
Jason BelecDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Adnan SheikhDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Leonid ChepelevDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Waleed AlthobaityDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Benjamin J W ChowDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Dimitrios MitsourasDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Andy ChristensenDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Frank J RybickiDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.
Daniel J La RussaDepartment of Radiology, University of Ottawa, 501 Smyth Road, Box 232, Ottawa, ON, K1H 8L6, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological innovations have created new opportunities for the increased adoption of virtual reality (VR) and augmented reality (AR) applications in medicine. While medical applications of VR have historically seen greater adoption from patient-as-user applications, the new era of VR/AR technology has created the conditions for wider adoption of clinician-as-user applications. Historically, adoption to clinical use has been limited in part by the ability of the technology to achieve a sufficient quality of experience. This article reviews the definitions of virtual and augmented reality and briefly covers the history of their development. Currently available options for consumer-level virtual and augmented reality systems are presented, along with a discussion of technical considerations for their adoption in the clinical environment. Finally, a brief review of the literature of medical VR/AR applications is presented prior to introducing a comprehensive conceptual framework for the viewing and manipulation of medical images in virtual and augmented reality. Using this framework, we outline considerations for placing these methods directly into a radiology-based workflow and show how it can be applied to a variety of clinical scenarios.

Indexed as

Augmented RealityModels, BiologicalPrinting, Three-DimensionalVirtual RealityDiagnostic ImagingHumansAugmented realityRadiologyVirtual realityVisualization

Identifiers

PMID30215180
PMCPMC6382635

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.