Evidence map›Paper›PMID 38415160›Full record

ArticleQuantitative imaging in medicine and surgery2024

Virtual reality-based surgical planning simulator for tumorous resection in FreeForm Modeling: an illustrative case of clinical teaching.

Matthew Jianqiao Peng, Hai-Yan Chen, Peikai Chen, Zhijia Tan, Yong Hu, Michael Kai-Tsun To, Erxing He

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

7 authors at 4 institutions in 2 countries.

Matthew Jianqiao Peng *Department of Spinal Surgery, Affiliated Jiangmen Traditional Chinese Medicine Hospital of Jinan University, Jiangmen, China.
Hai-Yan Chen *Department of Orthopedics, Huidong People's Hospital, Huizhou, China.
Peikai ChenDepartment of Orthopedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Zhijia TanDepartment of Orthopedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Yong HuDepartment of Orthopedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Michael Kai-Tsun ToDepartment of Orthopedics and Traumatology, The University of Hong Kong-Shenzhen Hospital, Hong Kong, China.
Erxing He *Department of Spinal Surgery, Affiliated 4th Hospital of Guangzhou Medical University, Guangzhou, China.
University of Hong Kong · HKUniversity of Hong Kong - Shenzhen Hospital · CNHuizhou Central People's Hospital · CNJiangmen Wuyi Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The importance of virtual reality (VR) has been emphasized by many medical studies, yet it has been relatively under-applied to surgical operation. This study characterized how VR has been applied in clinical education and evaluated its tutorial utility by designing a surgical model of tumorous resection as a simulator for preoperative planning and medical tutorial. A 36-year-old male patient with a femoral tumor who was admitted to the Affiliated Jiangmen Traditional Chinese Medicine Hospital was randomly selected and scanned by computed tomography (CT). The data in digital imaging and communications in medicine (*.DICOM) format were imported into Mimics to reconstruct a femoral model, and were generated to the format of *.stl executing in the computer-aided design (CAD) software SenSable FreeForm Modeling (SFM). A bony tumor was simulated by adding clay to the femur, the procedure of tumorous resection was virtually performed with a toolkit called Phantom, and its bony defect was filled with virtual cement. A 3D workspace was created to enable the individual multimodality manipulation, and a virtual operation of tumorous excision was successfully carried out with indefinitely repeated running. The precise delineation of surgical margins was shown to be achieved with expert proficiency and inexperienced hands among 43 of 50 participants. This simulative educator presented an imitation of high definition, those trained by VR models achieved a higher success rate of 86% than the rate of 74% achieved by those trained by conventional methods. This tumorous resection was repeatably handled by SFM, including the establishment of surgical strategy, whereby participants felt that respondent force feedback was beneficial to surgical teaching programs, enabling engagement of learning experiences by immersive events which mimic real-world circumstances to reinforce didactic and clinical concepts.

Indexed as

clinical educationFreeForm Modelingpreoperative planningsimulative educatorTumorous resection

Identifiers

PMID38415160
PMCPMC10895132
OpenAlexW4391258614

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.