Evidence map›Paper›PMID 39386378›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2024

Augmented and virtual reality imaging for collaborative planning of structural cardiovascular interventions: a proof-of-concept and validation study.

Xander Jacquemyn, Kobe Bamps, Ruben Moermans, Christophe Dubois, Filip Rega, Peter Verbrugghe, Barbara Weyn, Steven Dymarkowski, Werner Budts, Alexander Van De Bruaene

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Harnessing Artificial Intelligence for Innovation in Interventional Cardiovascular Care.Journal of the Society for Cardiovascular Angiography & Interventions · 2025
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Xander JacquemynKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.ORCID https://orcid.org/0000-0001-8421-0686
Kobe BampsKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.ORCID https://orcid.org/0000-0002-3248-2142
Ruben MoermansKU Leuven, Medical Imaging Research Center, Leuven, Belgium.
Christophe DuboisKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.
Filip RegaKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.
Peter VerbruggheKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.
Barbara WeynKU Leuven, Medical Imaging Research Center, Leuven, Belgium.
Steven DymarkowskiUniversity Hospitals Leuven, Division of Radiology, Leuven, Belgium.
Werner BudtsKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.
Alexander Van De BruaeneKU Leuven, Department of Cardiovascular Sciences, Leuven, Belgium.ORCID https://orcid.org/0000-0002-0469-8640

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Virtual reality (VR) and augmented reality (AR) have led to significant advancements in cardiac preoperative planning, shaping the world in profound ways. A noticeable gap exists in the availability of a comprehensive multi-user, multi-device mixed reality application that can be used in a multidisciplinary team meeting. Approach: A multi-user, multi-device mixed reality application was developed, supporting AR and VR implementations. Technical validation involved a standardized testing protocol and comparison of AR and VR measurements regarding absolute error and time. Preclinical validation engaged experts in interventional cardiology, evaluating the clinical applicability prior to clinical validation. Clinical validation included patient-specific measurements for five patients in VR compared with standard computed tomography (CT) for preoperative planning. Questionnaires were used at all stages for subjective evaluation. Results: Technical validation, including 106 size measurements, demonstrated an absolute median error of 0.69 mm (0.25 to 1.18 mm) compared with ground truth. The time to complete the entire task was Conclusions: The mixed reality application, validated through technical, preclinical, and clinical assessments, demonstrates precision and user-friendliness. Further research of our application is needed to validate the generalizability and impact on patient outcomes.

Indexed as

augmented realitycardiac imaging techniquescardiac surgerycardiologyinterventional cardiologyvirtual reality

Identifiers

PMID39386378
PMCPMC11460359

What OpenQuestion holds

Textmetadata
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.