Evidence map›Paper›PMID 31900135›Full record

ArticleBMC medical education2020

Virtual reality technology for teaching neurosurgery of skull base tumor.

Xuefei Shao, Quan Yuan, Daqing Qian, Zheng Ye, Gao Chen, Kang le Zhuang, Xiaochun Jiang, Yuelong Jin, Di Qiang

Abstract read
In one paragraph

Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. 3D printing in medicine: bridging imaging, education, and practice.Archives of medical sciences. Atherosclerotic diseases · 2025
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  20. Virtual reality and surgical oncology.Ecancermedicalscience · 2023
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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

9 authors.

Xuefei ShaoDepartment of Neurosurgery, Yi-Ji Shan Hospital, Wannan Medical College, Wuhu, China.
Quan YuanDepartment of Imaging, Yi-Ji Shan Hospital, Wannan Medical College, Wuhu, China.
Daqing QianClinical Skills Training Center, Wannan Medical College, Wuhu, China.
Zheng YeClinical Skills Training Center, Wannan Medical College, Wuhu, China.
Gao ChenHe Wang Lan digital ST CO.LTD, Hefei, China.
Kang le ZhuangHe Wang Lan digital ST CO.LTD, Hefei, China.
Xiaochun JiangDepartment of Neurosurgery, Yi-Ji Shan Hospital, Wannan Medical College, Wuhu, China. jiangxiaochun2001@hotmail.com.
Yuelong JinSchool of Public Health, Wannan Medical College, Wuhu, China. 94017416@qq.com.
Di QiangDepartment of Dermatology and STD, Yi-Ji Shan Hospital, Wannan Medical College, No.2 West Road Zheshan, Jinghu district, Wuhu city, 241000, Anhui province, China. drqiangdi@163.com.

Funding

Collegiate Major Natural Science Research Projects KJ2018ZD027research funds of Wannan Medical College WK2017ZF04the teaching quality and teaching reform project of Wannan Medical College Grant No. 2018jyxm58
6 · The paper itself

Abstract

backgroundNeurosurgery represents one of the most challenging and delicate of any surgical procedure. Skull base tumors in particular oftentimes present as a very technically difficult procedures in the setting of neurosurgical teaching. Virtual reality technology is one of the most promising surgical planning tools. It can perform fast three-dimensional (3D) reconstruction of computed tomography (CT), magnetic resonance imaging (MRI) and other imaging data sets under conditions of virtual reality (VR). Surgical simulation can more intuitively understand the anatomical relationship of the surgical area in significantly greater detail.

methodsThirty clinical undergraduates from the class of 2016 were randomly divided into two groups: the traditional teaching group and the virtual reality teaching group. After the study concluded, the teaching effectiveness was evaluated by combining basic theoretical knowledge, case analysis and questionnaire survey methods.

resultsComparative analysis between both groups showed the response effect of the virtual reality teaching group was better than that of the traditional teaching group (P < 0.05). There was also no difference between both groups in terms of the design of the surgical approach and the listing of surgical matters that required attention (P > 0.05).The results of theoretical knowledge assessment between both groups showed that the scores of basic theory, location, adjacent structure, clinical manifestation, diagnosis and analysis, surgical methods and total scores in the VR group exceeded those in the traditional teaching group (P < 0.05).

conclusionsThis study showed that VR technology might improve neurosurgical skull base teaching quality, which should be promoted in the teaching of clinical subjects.

Indexed as

Simulation TrainingVirtual RealityAdultClinical CompetenceFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMeningiomaMiddle AgedNeurilemmomaNeurosurgical ProceduresPatient-Specific ModelingSkull Base NeoplasmsTomography, X-Ray ComputedEducationNeurosurgeryVirtual reality technology

Identifiers

PMID31900135
PMCPMC6942358

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Registered trials

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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.