Evidence map›Paper›PMID 41488749›Full record

ArticleFrontiers in medical technology2025

FE-based risk assessment of coronary artery compression in pulmonary conduit pre-stenting: optimizing the balance between time-expense and reliability.

Davide Astori, Francesco Sturla, Alessandro Caimi, Francesco Secchi, Luca Giugno, Alberto Redaelli, Mario Carminati, Emiliano Votta

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Article in Frontiers in medical technology, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Davide AstoriDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Francesco SturlaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Alessandro CaimiDepartment of Civil Engineering and Architecture, Università degli Studi di Pavia, Pavia, Italy.
Francesco SecchiUnit of Cardivascular Imaging, IRCCS Multimedica, Sesto San Giovanni, Italy.
Luca GiugnoDepartment of Pediatric and Adult Congenital Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Alberto RedaelliDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.
Mario CarminatiDepartment of Pediatric and Adult Congenital Cardiology, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
Emiliano VottaDepartment of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: Calcific obstruction of the pulmonary conduit is a late complication of surgical implantation of a homograft in congenital patients. Percutaneous pulmonary valve implantation (PPVI) is an effective alternative to surgical repair. However, this procedure is affected by several complications, with coronary artery (CA) compression being one of the most severe. High-fidelity finite element (FE) models can provide accurate predictions but are too computationally expensive for routine use, whereas simplified models sacrifice mechanical fidelity. This study proposes a novel FE-based framework to investigate conduit pre-stenting feasibility, while aiming to balance computational efficiency with predictive accuracy within clinically relevant timelines. Methods: A semi-automated pipeline was developed, requiring manual input only for the segmentation of computed tomography (CT), virtual stent positioning, and simulation launch. Patient-specific geometries were meshed and processed through an automated Results: The full simulation process required less than 10 h per case, with minimal operator workload. FE-predicted stent configuration showed strong agreement with fluoroscopic measurements ( Conclusions: The proposed FE simulation framework enables patient-specific prediction of stent configuration and CA compression risk within clinically compatible timelines. The balanced trade-off between mechanical fidelity and computational efficiency supports its potential integration into pre-procedural planning of conduit pre-stenting and PPVI.

Indexed as

coronary artery compressionfinite element modelingpatient-specific simulationspre-procedural planningpulmonary conduit pre-stenting

Identifiers

PMID41488749
PMCPMC12756087

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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.