Evidence map›Paper›PMID 37723452›Full record

ArticleBMC medical education2023

Application effect of head-mounted mixed reality device combined with 3D printing model in neurosurgery ventricular and hematoma puncture training.

Yilong Peng, Zhengyuan Xie, Shaoai Chen, Yi Wu, Jiajun Dong, Jinhong Li, Jinlang He, Xiaolei Chen, Hongzhi Gao

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Recent advances in 3D printing applications for CNS tumours.European journal of medical research · 2025
    Review
  8. Review
  9. Review
  10. Review
  11. Article
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.

Yilong Peng *Department of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China.
Zhengyuan Xie *Department of Neurosurgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Shaoai ChenDepartment of Dermatology, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Yi WuDepartment of Neurosurgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Jiajun DongDepartment of Neurosurgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Jinhong LiDepartment of Neurosurgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Jinlang HeDepartment of Neurosurgery, Jiangmen Central Hospital, Jiangmen, 529030, Guangdong, China.
Xiaolei ChenDepartment of Neurosurgery, First Medical Center, Chinese People's Liberation Army General Hospital, Beijing, 100853, China.
Hongzhi GaoDepartment of Neurosurgery, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, Fujian, China. 1564747628@qq.com.

Funding

Bureau of Science and Technology of Jiangmen Municipality 2021030103490007335
6 · The paper itself

Abstract

backgroundThe purpose of this study was to explore the applicability of application effect of head-mounted mixed reality (MR) equipment combined with a three-dimensional (3D) printed model in neurosurgical ventricular and haematoma puncture training.

methodsDigital Imaging and Communications in Medicine (DICOM) format image data of two patients with common neurosurgical diseases (hydrocephalus and basal ganglia haemorrhage) were imported into 3D Slicer software for 3D reconstruction, saved, and printed using 3D printing to produce a 1:1-sized head model with real person characteristics. The required model (brain ventricle, haematoma, puncture path, etc.) was constructed and imported into the head-mounted MR device, HoloLens, and a risk-free, visual, and repeatable system was designed for the training of junior physicians. A total of 16 junior physicians who studied under this specialty from September 2020 to March 2022 were selected as the research participants, and the applicability of the equipment and model during training was evaluated with assessment score sheets and questionnaires after training.

resultsAccording to results of the assessment and questionnaire, the doctors trained by this system are more familiar with the localization of the lateral anterior ventricle horn puncture and the common endoscopic surgery for basal ganglia haemorrhage, as well as more confident in the mastery of these two operations than the traditional training methods.

conclusionsThe use of head-mounted MR equipment combined with 3D printing models can provide an ideal platform for the operation training of young doctors. Through holographic images created from the combination of virtual and real images, operators can be better immersed in the operation process and deepen their understanding of the operation and related anatomical structures. The 3D printed model can be repeatedly reproduced so that doctors can master the technology, learn from mistakes, better achieve the purpose of teaching and training, and improve the effect of training.

Indexed as

Augmented RealityBasal Ganglia HemorrhageNeurosurgeryHematomaHumansPrinting, Three-DimensionalPunctures3D printing modelHoloLensMR technologyTraining system

Identifiers

PMID37723452
PMCPMC10506205

What OpenQuestion holds

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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.