Evidence map›Paper›PMID 41430242›Full record

ArticleBiomedical engineering online2025

A comprehensive workflow for CCTA and OCT data fusion with 3D printing validation: advancing patient-specific testing environments for percutaneous coronary intervention devices.

Marc Ilic, Jonas Häner, Julian Lehmann, Anselm W Stark, Joël Illi, Christoph Gräni, Marc Bentele, Philine Baumann-Zumstein, Julia Busch, Andreas Haeberlin

Abstract readValidation Study
In one paragraph

Article in Biomedical engineering online, 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

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

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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

10 authors.

Marc IlicDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Jonas HänerDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Julian LehmannDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Anselm W StarkDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Joël IlliDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Christoph GräniDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland.
Marc BenteleMedical Affairs, Biotronik AG (a Teleflex company), Ackerstrasse 6, CH-8180, Bülach, Zürich, Switzerland.
Philine Baumann-ZumsteinR&D, Biotronik AG (a Teleflex company), Ackerstrasse 6, CH-8180, Bülach, Zürich, Switzerland.
Julia BuschR&D, Biotronik AG (a Teleflex company), Ackerstrasse 6, CH-8180, Bülach, Zürich, Switzerland.
Andreas HaeberlinDepartment of Cardiology, University Hospital Bern, Freiburgstrasse 20, CH-3010, Bern, Bern, Switzerland. andreas.haeberlin@insel.ch.

Funding

Innosuisse - Schweizerische Agentur für Innovationsförderung 102.919.1 IP-LS
6 · The paper itself

Abstract

objectiveTo create high-resolution, patient-specific 3D coronary artery models aimed at developing digital models and functional phantoms for the testing of cardiac catheterization devices.

methodsUsing coronary computed tomography angiography (CCTA) and optical coherence tomography (OCT), coronary artery lesions were identified and quantified. Imaging data were fused using a custom-made workflow to create highly accurate digital 3D models. For validation of the workflow, coronary artery phantoms were fabricated using additive manufacturing. An OCT was then conducted on the 3D printed phantom, and the developed workflow was applied to generate a derivative model, which was subsequently compared to the original.

resultsCCTA and OCT datasets from 15 patients were successfully collected and used to develop patient-specific 3D coronary artery models, including detailed inner shells, calcifications, outer wall structures, and side branches. Of these, 13 out of 15 3D printed phantoms were successfully validated and compared to their corresponding original model. The median vertex deviation of the derivative model was 0.15 (0.14

conclusionWe present a novel workflow to produce high-resolution patient-specific phantoms of coronary arteries.

Indexed as

Computed Tomography AngiographyPercutaneous Coronary InterventionPrinting, Three-DimensionalTomography, Optical CoherenceWorkflowCoronary AngiographyCoronary VesselsFemaleHumansMaleMiddle AgedPhantoms, ImagingCardiovascularCoronary arteryDigital modelOctPhantoms

Identifiers

PMID41430242
PMCPMC12838419

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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.