Evidence map›Paper›PMID 40024619›Full record

ArticleOrthopaedic surgery2025

High Simulation Training System for Spinal Full-Endoscopic Surgery, Based on the Combination of VR/AR and Magneto-Optical Navigation Technology.

Tianqi Fan, Lin Shi, Xuan Peng, Menghao Wu, Lingjia Yu, Bin Zhu

Abstract read
In one paragraph

Article in Orthopaedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Tianqi FanDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lin ShiDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Xuan PengDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Menghao WuDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Lingjia YuDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Bin ZhuDepartment of Orthopedics, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-0638-4215

Funding

Beijing Hospitals Authority Clinical Medicine Development of Special Funding Support YGLX202301National Natural Science Foundation of China 62077001National Natural Science Foundation of China 82102615
6 · The paper itself

Abstract

objectiveSpinal full-endoscopic surgery is a challenging technique with a steep learning curve, limited by inadequate training models and the shortcomings of cadaver-based training. To address this, we propose a high-simulation training system using VR/AR and magneto-optical navigation technology to enhance skill development and reduce the learning curve.

methodsA new simulation training system for spinal full-endoscopic surgery was established, which was conducted by using the data of Chinese Digital Human with medical image parameters for the three-dimensional (3D) reconstruction, as well as integrating the technical advantages of VR/AR, 3D printing, and magneto-optical navigation technology.

resultsBased on the original dataset of Chinese digital humans and clinical medical imaging processing, the data model was obtained and then the 3D printing engineering model was created. The simulation perspective filming technology, joint process shaping and cutting technology, and tube placement technology have been constructed, based on the combination of VR/AR under optical navigation. Based on electromagnetic tracking, a microscopic anatomical simulation using preorder optical navigation has been designed. Finally, a physical simulation model based on the clinical reality of flocculent behavior was constructed. As a simulator for spinal endoscopic surgery training, it was tested during an advanced endoscopic training course. Moreover, 17 out of 20 novices (85%) met the surgical standards by the end of the final simulation training session.

conclusionWe present a high simulation training system based on the combination of VR/AR and magneto-optical navigation for spinal full-endoscopic surgery. The model may be used by surgeons starting with spinal endoscopy and should be considered a comparable and sufficiently realistic tool to train key operation steps to reduce the learning curve.

Indexed as

EndoscopySimulation TrainingSpineSurgery, Computer-AssistedVirtual RealityClinical CompetenceHumansImaging, Three-DimensionalModels, AnatomicPrinting, Three-Dimensionaloptical magnetic navigationsimulation training systemspinal endoscopic surgeryspineVR/AR

Identifiers

PMID40024619
PMCPMC11962275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.