Evidence map›Paper›PMID 42090101›Full record

Article3D printing in medicine2026

Feasibility of 3D echocardiography-CT/CMR fusion to create atrioventricular valve-integrated 3D printed heart models in complex congenital heart disease: greater incremental benefit for surgeons than cardiac imagers.

Jose Carlos Villalobos-Lizardi, Shi-Joon Yoo, Brandon Peel, Francesco Bertelli, Andreea Dragulescu, Nick Arbic, David Barron, Osami Honjo, Christopher Haller, Carmel Daskalo and 2 more

Abstract read
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Article in 3D printing in medicine, 2026. 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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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

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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

12 authors.

Jose Carlos Villalobos-LizardiDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
Shi-Joon Yoo3D Heart Lab, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Brandon Peel3D Heart Lab, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Francesco Bertelli3D Heart Lab, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Andreea DragulescuDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
Nick ArbicDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
David BarronDivision of Cardiovascular Surgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Osami HonjoDivision of Cardiovascular Surgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Christopher HallerDivision of Cardiovascular Surgery, Department of Surgery, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.
Carmel Daskalo3D Heart Lab, The Labatt Family Heart Centre, The Hospital for Sick Children, Toronto, ON, Canada.
Luc MertensDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
Israel ValverdeDivision of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON, M5G 1X8, Canada. israel.valverde@sickkids.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGiven the established and reproducible benefit of 3D-printed models in complex congenital heart disease (CHD) surgical planning, the focus has shifted from validating their utility to refining anatomical fidelity through enhanced imaging integration. The purpose of this study is to evaluate the perceived clinical utility of multimodality fusion 3D-printed cardiac models and to determine whether inclusion of valve structures confers incremental benefit over conventional single-modality 3D models in enhancing anatomical understanding and preoperative surgical planning among pediatric cardiac surgeons and imaging cardiologists in complex CHD.

methodsIn this feasibility study, multimodality fusion 3D models were successfully generated by integrating cross-sectional imaging (cardiac computed tomography and magnetic resonance) with 3D echocardiographic datasets to reproduce atrioventricular valve apparatus and subvalvular structures in 10 pediatric patients with complex CHD. Ten faculty members (7 pediatric cardiologists with advanced imaging expertise and 3 pediatric cardiothoracic surgeons) evaluated 10 patient-specific models using a structured Likert questionnaire.

resultsSurgeons assigned significantly higher ratings than imagers for anatomical understanding (median 5 vs 4; p = 0.002) and surgical planning (p < 0.001). Participants agreed that multimodality models are most valuable in complex congenital heart disease, particularly in cases requiring ventricular septal defect patching or intraventricular baffle repair involving the subvalvular apparatus.

conclusionMultimodality imaging fusion for 3D printing is technically feasible and produces high-quality models with strong intraoperative correlation. Incorporation of atrioventricular valve anatomy provides meaningful incremental benefit-particularly for surgeons-enhancing operative planning in complex CHD.

Indexed as

3D echocardiography3D heart modelsCMRCongenital heart diseaseCTMultimodality image fusion

Identifiers

PMID42090101
PMCPMC13214205

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.