Evidence map›Paper›PMID 38562356›Full record

ArticleCureus2024

The Evaluation of Virtual Reality Neuroanatomical Training Utilizing Photorealistic 3D Models in Limited Body Donation Program Settings.

Martin Trandzhiev, Theodoros Koundouras, Milko Milev, Lili Laleva, Atanas Mitev, Viktor Stoykov, Nikolay Dimitrov, Ivan Maslarski, Vladimir Nakov, Toma Spiriev

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Martin TrandzhievDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Theodoros KoundourasDepartment of Anatomy and Histology, Pathology and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Milko MilevDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Lili LalevaDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Atanas MitevDepartment of Anatomy and Histology, Pathology and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Viktor StoykovDepartment of Anatomy and Histology, Pathology and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Nikolay DimitrovDepartment of Anatomy and Histology, Pathology and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Ivan MaslarskiDepartment of Anatomy and Histology, Pathology and Forensic Medicine, University Hospital Lozenetz, Medical Faculty, Sofia University, Sofia, BGR.
Vladimir NakovDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Toma SpirievDepartment of Neurosurgery, Acibadem City Clinic University Hospital Tokuda, Sofia, BGR.
Acibadem City Clinic · BGLozenetz Hospital · BG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Neuroanatomy is one of the most complex areas of anatomy to teach to medical students. Traditional study methods such as atlases and textbooks are mandatory but require significant effort to conceptualize the three-dimensional (3D) aspects of the neuroanatomical regions of interest. Objectives To test the feasibility of human anatomy teaching medical students in a virtual reality (VR) immersive environment using photorealistic three-dimensional models (PR3DM) of human anatomy, in a limited anatomical body donation program. Methods We used surface scanning technology (photogrammetry) to create PR3DM of brain dissections. The 3D models were uploaded to VR headsets and used in immersive environment classes to teach second-year medical students. Twenty-eight medical students (mean age 20.11, SD 1.42), among which 19 females (n=28/67.9%) and nine males (n=28/32.1%), participated in the study. The students had either none or minimal experience with the use of VR devices. The duration of the study was three months. After completing the curriculum, a survey was done to examine the results. Results The average rating of the students for their overall experience with the method is 4.57/5 (SD=0.63). The "Possibility to study models from many points of view" and "Good Visualization of the models" were the most agreed upon advantages, with 24 students (n=28, 85.7%), and 95% confidence intervals (CI) [0.6643, 0.9532]. The limited availability of the VR headsets was the major disadvantage as perceived by the students, with 11 students (n=28, 39.3%), 95% CI [0.2213, 0.5927] having voted for the option. The majority of the students (25) (n=28, 89.2%, SD=0.31) agreed with the statement that the use of VR facilitated their neuroanatomy education. Conclusion This study shows the future potential of this model of training in limited cadaver dissection options to provide students with modern technological methods of training. Our first results indicate a prominent level of student satisfaction from VR training with minimum negative reactions to the nature of headsets. The proof of concept for the application of photorealistic models in VR neuroanatomy training combined with the initial results of appreciation among the students predisposes the application of the method on a larger scale, adding a nuance to the traditional anatomy training methods. The low number of headsets used in the study limits the generalization of the results but offers possibilities for future perspectives of research.

Indexed as

educationneuroanatomyphotogrammetryphotorealistic three-dimensional modelsvirtual reality

Identifiers

PMID38562356
PMCPMC10983822
OpenAlexW4392347746

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.