Evidence map›Paper›PMID 39439746›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

HoloPatch: improving intracardiac patch fit through holographically modelled templates.

Matthias Lippert, Gabriella d' Albenzio, Kathrine Rydén Suther, Karl-Andreas Dumont, Rafael Palomar, Hans Henrik Odland, Ole Jakob Elle, Bjørn Bendz, Henrik Brun

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Role of artificial intelligence in congenital heart disease.World journal of clinical pediatrics · 2025
    Review
  3. Review
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

9 authors.

Matthias LippertDivision for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.ORCID https://orcid.org/0000-0003-0259-292X
Gabriella d' AlbenzioDivision for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.
Kathrine Rydén SutherDivision of Radiology and Nuclear Medicine, Department of Radiology, Oslo University Hospital, Oslo, Norway.
Karl-Andreas DumontDepartment of Cardiothoracic Surgery, Oslo University Hospital, Oslo, Norway.
Rafael PalomarDivision for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.
Hans Henrik OdlandDepartment of Paediatric Cardiology, Oslo University Hospital, Oslo, Norway.
Ole Jakob ElleDivision for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.
Bjørn BendzInstitute of Clinical Medicine, University of Oslo, Kirkeveien 166, 0450 Oslo, Norway.ORCID https://orcid.org/0000-0002-1392-6481
Henrik BrunDivision for Technology and Innovation, The Intervention Centre, Oslo University Hospital, PO Box 4950 Nydalen, 0424 Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: Structural heart defects, including congenital ventricular septal defect closure or intracardiac rerouting, frequently require surgical reconstruction using hand-cut patch materials. Digitally modelled patch templates may improve patch fit and reduce outflow tract obstruction, residual defect risk, and conduction system damage. In this study, we benchmarked mixed-reality and a desktop application against a digitalized model of a real implanted patch. Methods and results: Ten patients scheduled for the repair of various defects consented to prospective inclusion in the study. After surgery, a digital model of the implanted patch was created from the residual material. Five clinical experts created 10 digital patches, 1 per patient, both in mixed-reality and desktop application, for comparison with the reference measurements, including the digitalized model of the real patch used during the surgery. Subjective residual shunt risk prediction was performed using both modalities. Digital patches created in mixed-reality closely matched the surgical material, whereas those created using desktop applications were significantly smaller. Different evaluators showed varying preferences for the application of the residual shunt risk and area. Conclusion: Digitally created patches can assist surgeons in preoperatively sizing of patch implants, potentially reducing post-operative complications.

Indexed as

3D printcardiothoracic surgerycongenital heart diseaseHoloLensmixed-reality

Identifiers

PMID39439746
PMCPMC11495558

What OpenQuestion holds

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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.