Evidence map›Paper›PMID 42570174›Full record

ArticleAnnals of biomedical engineering2026

From Case Studies to Cohort of Patients: Automating FSI Simulations to Uncover Downstream Effects of Ascending Aortic Grafts.

Ione Ianniruberto, Davide Astori, Simone Saitta, Davide Milesi, Pablo Villar Calle, Mario Gaudino, Leonard N Girardi, Jay D Humphrey, Jonathan W Weinsaft, Emiliano Votta and 1 more

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Article in Annals of biomedical engineering, 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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0citing papers 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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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ione Ianniruberto *Department of Electronic Information and Bioengineering, Politecnico di Milano, Milan, Italy. ione.ianniruberto@polimi.it.ORCID http://orcid.org/0009-0000-2546-765X
Davide Astori *Department of Electronic Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Simone SaittaDepartment of Biomedical Engineering and Physics, Amsterdam University Medical Center, Amsterdam, The Netherlands.
Davide MilesiDepartment of Electronic Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Pablo Villar CalleDivision of Cardiology, Weill Cornell Medicine, New York, NY, USA.
Mario GaudinoDivision of Cardiology, Weill Cornell Medicine, New York, NY, USA.
Leonard N GirardiDivision of Cardiology, Weill Cornell Medicine, New York, NY, USA.
Jay D HumphreyDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Jonathan W WeinsaftDivision of Cardiology, Weill Cornell Medicine, New York, NY, USA.
Emiliano VottaDepartment of Electronic Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Alberto RedaelliDepartment of Electronic Information and Bioengineering, Politecnico di Milano, Milan, Italy.

Funding

Towards Personalized Prosthetic Graft Replacement for Genetically Triggered Thoracic Aortic AneurysmsR01HL170570 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI Mario FL Gaudino, Jonathan W. Weinsaft · 2023 to 2026
$2.8M
NHLBI NIH HHS #1R01HL170570-01NHLBI NIH HHS R01 HL170570
6 · The paper itself

Abstract

purposeOpen surgical repair with replacement of the diseased segment by a synthetic Dacron graft remains the standard treatment for ascending thoracic aortic aneurysms and dissections. However, post-operative sequelae, including dissection of the descending aorta (DA), have been reported and are often attributed to the mechanical compliance mismatch between the rigid graft and native aortic tissue. This mismatch can significantly alter downstream hemodynamics, potentially promoting adverse vascular remodeling and accelerating disease progression.

methodsA fully automated patient-specific fluid-structure interaction (FSI) pipeline was developed to evaluate hemodynamic changes following graft implantation based on cardiac imaging: aortic 3D anatomy is reconstructed from Magnetic Resonance Angiography; aortic wall mechanics are described as anisotropic hyperelastic, with region-specific parameters calibrated from Cine-MRI-derived wall thickness and compliance data; blood flow is modeled using inlet velocity profiles derived from 4D flow MRI and Windkessel outlet conditions tuned to in vivo pressures. The computational workflow, implemented in the open-source software SimVascular, comprised three stages: (i) computational fluid dynamics simulation to determine blood pressures, (ii) structural analysis for prestress estimation, and (iii) FSI simulation coupling fluid and solid responses. It was applied to five patients whose images were collected pre-operatively, and post-operatively. Pre-operative and post-operative scenarios were then compared to assess whether the compliance mismatch due to the presence of the ascending graft alters the hemodynamic and biomechanics in the DA.

resultsThe proposed framework successfully performed standardized, automated FSI simulations for all patients. Comparison between pre- and post-operative states revealed preliminary evidence of graft-associated flow remodeling, with consistent increases in flow-induced wall shear stress (WSS), oscillatory shear index, and Time Averaged WSS (TAWSS) in the aortic isthmus, which is commonly associated with post-operative dilation. Additionally, a topological analysis of WSS manifolds demonstrated a redistribution of fixed points from the ascending to the isthmus region after graft implantation, suggesting localized hemodynamic disturbances which may correlate with adverse biological responses.

conclusionThis automated framework enables large-scale patient-specific FSI analyses and highlights preliminary biomechanical changes induced by aortic grafts. The high values of WSS observed in the isthmus region suggest that next-generation compliant grafts should be designed to mitigate downstream disease progression by lowering WSSs.

Indexed as

Aortic graftingAscending aorta aneurysmCardiac magnetic resonance imagingFluid-structure interactionHemodynamic alterationsLate adverse effects

Identifiers

PMID42570174

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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.