Evidence map›Paper›PMID 29079992›Full record

ArticleInternational journal of computer assisted radiology and surgery2018

VCSim3: a VR simulator for cardiovascular interventions.

Przemyslaw Korzeniowski, Ruth J White, Fernando Bello

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2018. 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. Review
  2. Article
  3. Artificial Intelligence in Coronary Artery Interventions: Preprocedural Planning and Procedural Assistance.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
  4. A virtual patient authoring tool for transcatheter aortic valve replacement.International journal of computer assisted radiology and surgery · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Real-time inextensible surgical thread simulation.International journal of computer assisted radiology and surgery · 2018
    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

3 authors.

Przemyslaw KorzeniowskiSimulation and Modelling in Medicine and Surgery, Centre for Engagement and Simulation Science, Imperial College London, London, UK. p.korzeniowski@imperial.ac.uk.ORCID http://orcid.org/0000-0001-5391-1295
Ruth J WhiteSimulation and Modelling in Medicine and Surgery, Centre for Engagement and Simulation Science, Imperial College London, London, UK.
Fernando BelloSimulation and Modelling in Medicine and Surgery, Centre for Engagement and Simulation Science, Imperial College London, London, UK.ORCID http://orcid.org/0000-0003-4136-0355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeEffective and safe performance of cardiovascular interventions requires excellent catheter/guidewire manipulation skills. These skills are currently mainly gained through an apprenticeship on real patients, which may not be safe or cost-effective. Computer simulation offers an alternative for core skills training. However, replicating the physical behaviour of real instruments navigated through blood vessels is a challenging task.

methodsWe have developed VCSim3-a virtual reality simulator for cardiovascular interventions. The simulator leverages an inextensible Cosserat rod to model virtual catheters and guidewires. Their mechanical properties were optimized with respect to their real counterparts scanned in a silicone phantom using X-ray CT imaging. The instruments are manipulated via a VSP haptic device. Supporting solutions such as fluoroscopic visualization, contrast flow propagation, cardiac motion, balloon inflation, and stent deployment, enable performing a complete angioplasty procedure.

resultsWe present detailed results of simulation accuracy of the virtual instruments, along with their computational performance. In addition, the results of a preliminary face and content validation study conveyed on a group of 17 interventional radiologists are given.

conclusionsVR simulation of cardiovascular procedure can contribute to surgical training and improve the educational experience without putting patients at risk, raising ethical issues or requiring expensive animal or cadaver facilities. VCSim3 is still a prototype, yet the initial results indicate that it provides promising foundations for further development.

Indexed as

Clinical CompetenceComputer SimulationUser-Computer InterfaceCardiovascular Surgical ProceduresCatheterizationHumansPhantoms, ImagingCatheterCoronary interventionsCosserat rodGuidewireMedical trainingVR simulator

Identifiers

PMID29079992
PMCPMC5754385

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.