Evidence map›Paper›PMID 29370860›Full record

ArticleBiomedical engineering online2018

Colonoscopy procedure simulation: virtual reality training based on a real time computational approach.

Tingxi Wen, David Medveczky, Jackie Wu, Jianhuang Wu

Open access · goldAbstract read
In one paragraph

Article in Biomedical engineering online, 2018. 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
1.2field-weighted citation impact, top 22% 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, 14 citations in OpenAlex.

  1. Article
  2. Cost-Efficient Video Synthesis and Evaluation for Development of Virtual 3D Endoscopy.IEEE journal of translational engineering in health and medicine · 2021
    Article
  3. Article
  4. 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

4 authors at 4 institutions in 2 countries.

Tingxi WenSoftware School, Xiamen University, Xiamen, Fujian, China.
David MedveczkySchool of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Jackie WuSchool of Medicine, Western Sydney University, Campbelltown, NSW, Australia.
Jianhuang WuShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Xili Nanshan, Shenzhen, 518055, China. jh.wu@siat.ac.cn.
Camden and Campbelltown Hospitals · AUShenzhen Institutes of Advanced Technology · CNWestern Sydney University · AUXiamen University · CN

Funding

Guangdong Science and Technology Department 2016A020220016National Natural Science Foundation of China 61672510Shenzhen Science and Technology Program JSGG20150602143414338
6 · The paper itself

Abstract

backgroundColonoscopy plays an important role in the clinical screening and management of colorectal cancer. The traditional 'see one, do one, teach one' training style for such invasive procedure is resource intensive and ineffective. Given that colonoscopy is difficult, and time-consuming to master, the use of virtual reality simulators to train gastroenterologists in colonoscopy operations offers a promising alternative.

methodsIn this paper, a realistic and real-time interactive simulator for training colonoscopy procedure is presented, which can even include polypectomy simulation. Our approach models the colonoscopy as thick flexible elastic rods with different resolutions which are dynamically adaptive to the curvature of the colon. More material characteristics of this deformable material are integrated into our discrete model to realistically simulate the behavior of the colonoscope.

conclusionWe present a simulator for training colonoscopy procedure. In addition, we propose a set of key aspects of our simulator that give fast, high fidelity feedback to trainees. We also conducted an initial validation of this colonoscopic simulator to determine its clinical utility and efficacy.

Indexed as

Virtual RealityColonoscopyEducation, MedicalTime FactorsColonoscopyElastic rod modelInteractive trainingSimulatorVirtual reality

Identifiers

PMID29370860
PMCPMC5784697
OpenAlexW2794981606

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.