Evidence map›Paper›PMID 39699702›Full record

ArticleInternational journal of computer assisted radiology and surgery2025

A virtual patient authoring tool for transcatheter aortic valve replacement.

Seyedsina Razavizadeh, Markus Kofler, Matthias Kunz, Joerg Kempfert, Ruediger Braun-Dullaeus, Janine Weidling, Bernhard Preim, Christian Hansen

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Seyedsina RazavizadehFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany. Seyedsina.razavizadeh@ovgu.de.
Markus KoflerDepartment of Cardiothoracic and Vascular Surgery, Charité Berlin, Berlin, Germany.
Matthias KunzClinic for Cardiology and Angiology, University of Magdeburg, Magdeburg, Germany.
Joerg KempfertDepartment of Cardiothoracic and Vascular Surgery, Charité Berlin, Berlin, Germany.
Ruediger Braun-DullaeusClinic for Cardiology and Angiology, University of Magdeburg, Magdeburg, Germany.
Janine WeidlingSiemens Healthcare GmbH, Erlangen, Germany.
Bernhard PreimFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany.
Christian HansenFaculty of Computer Science, University of Magdeburg, Magdeburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeComputer-based medical training scenarios, derived from patient's records, often lack variability, modifiability, and availability. Furthermore, generating image datasets and creating scenarios is resource-intensive. Therefore, patient authoring tools for rapid dataset-independent creation of virtual patients (VPs) is a pressing need.

methodsAn authoring tool and a virtual catheterization laboratory environment were developed. The tool allows customised VP generation through a real-time morphable heart model and Euroscore parameters. The generated VP can be examined inside the vCathLab using a fluoroscopy and monitoring device, both on desktop and immersive virtual reality. Seven board-certified experts evaluated the proposed method from three aspects, i.e. System Usability Scale, qualitative feedback, and its performance in VR.

resultsAll participants agreed that this method could provide the necessary information and is anatomically correct within an educational context. Its modifiability, variability, and simplicity were well recognised. The prototype achieved excellent usability score and considerable performance results.

conclusionWe present a highly variable VP authoring tool that enhances variability in medical training scenarios. Although this work does not aim to explore didactic aspects, the potential of using this approach in an educational context has been confirmed in our study. Accordingly, these aspects can benefit from a thorough investigation in the future. In addition, our tool can be improved to provide more realistic parameter ranges for procedure-specific cases.

Indexed as

Transcatheter Aortic Valve ReplacementUser-Computer InterfaceVirtual RealityComputer SimulationFluoroscopyHumansMedical trainingPer-vertex animationStructural heart diseaseVirtual reality

Identifiers

PMID39699702
PMCPMC11807921

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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.