Evidence map›Paper›PMID 41324052›Full record

ArticleJournal of the Society for Cardiovascular Angiography & Interventions2025

Virtual Cath Lab: Versatile Open-Source Simulator for Education and Procedural Planning in Congenital Heart Interventions.

Yuval Barak-Corren, Matthew Daemer, Mudit Gupta, Kyle Sunderland, Andras Lasso, Analise Sulentic, Trevor R Williams, Silvani Amin, Alana Cianciulli, Michael L O'Byrne and 1 more

Abstract read
In one paragraph

Article in Journal of the Society for Cardiovascular Angiography & Interventions, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Yuval Barak-CorrenDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Matthew DaemerDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Mudit GuptaDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Kyle SunderlandLaboratory for Percutaneous Surgery, Queen's University, Kingston, Ontario, Canada.
Andras LassoLaboratory for Percutaneous Surgery, Queen's University, Kingston, Ontario, Canada.
Analise SulenticDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Trevor R WilliamsDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Silvani AminDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Alana CianciulliDepartment of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Michael L O'ByrneDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Matthew A JolleyDivision of Cardiology, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transcatheter cardiac interventions in congenital heart disease require a precise understanding of 3-dimensional (3D) anatomical structures represented through projectional angiograms. However, intraprocedural optimization of angiograms is limited by the need to reduce exposure to radiation and nephrogenic contrast. Preprocedural optimization using 3D images has the potential to improve patient outcomes and trainee education. We sought to simulate fluoroscopic projections from 3D computed tomography images within an integrated procedural planning framework with the goal of informing training and the planning of complex interventions. Methods: We developed the Virtual Cath Lab simulator in SlicerHeart to generate fluoroscopic projections from cross-sectional 3D images contextualized in a realistic biplane C-arm model. Segmented images were used to simulate angiograms. Simulated projections were compared to actual angiograms obtained in the catheterization laboratory to assess realism and accuracy. Results: The Virtual Cath Lab allowed realistic movement of a C-arm model in synchrony with the generation of realistic fluoroscopic projections. Seventeen subjects were modeled (10 ductus arteriosus stents, 4 transcatheter pulmonary valve replacement, 1 tetralogy of Fallot with major aortopulmonary collateral arteries, 1 aortopulmonary fistula, and 1 reverse Potts shunt). The simulator successfully generated fluoroscopic projections of each subject, rapidly producing clear and anatomically accurate images, suitable for procedural planning in all cases. Conclusions: We report the development and application of an open-source, freely available, biplane fluoroscopy simulator based on computed tomography images. Integrated visualization of complex vascular anatomy prior to catheterization may facilitate optimization of fluoroscopic angles and procedural decision-making while also supporting education. Further studies are needed to demonstrate the clinical and educational benefits.

Indexed as

cardiac imagingcongenital heart diseaseinterventional cardiologysimulationtranscatheter interventions

Identifiers

PMID41324052
PMCPMC12664619

What Socratic 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 Socratic graph.