Effects of vessel morphology on aortic hemodynamics: a statistical shape and CFD investigation.

Marilena Mazzoli, Katia Capellini, Simona Celi

Abstract read

In one paragraph

Article in Medical & biological engineering & computing, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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

3 authors.

Marilena MazzoliBioCardioLab, UOC Bioingegneria, Fondazione Monasterio, Via Aurelia Sud, Massa, 54100, Italy.ORCID http://orcid.org/0009-0005-2974-5027

Katia CapelliniBioCardioLab, UOC Bioingegneria, Fondazione Monasterio, Via Aurelia Sud, Massa, 54100, Italy.ORCID http://orcid.org/0000-0002-4938-9569

Simona CeliBioCardioLab, UOC Bioingegneria, Fondazione Monasterio, Via Aurelia Sud, Massa, 54100, Italy. s.celi@ftgm.it.ORCID http://orcid.org/0000-0002-7832-0122

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past few years, there has been an increase of clinical interest aimed at looking for correlations between morphology, extracted through statistical shape models (SSMs), and hemodynamics, extracted through computational fluid dynamics (CFD) simulations, in cardiovascular diseases. This study explores correlations between aortic morphology and hemodynamics in the thoracic aorta (TA). Existing research often simplifies geometries by excluding supra-aortic vessels due to software limitations in non-rigid registration. To overcome this, a novel algorithm was used to include these vessels in TA analysis. Principal component analysis reduced dimensionality, followed by automatic CFD simulations and correlation analysis between geometric and hemodynamic parameters. The first (

Indexed as

AortaAorta, ThoracicHemodynamicsAlgorithmsComputer SimulationHumansHydrodynamicsMaleModels, CardiovascularPrincipal Component AnalysisStress, MechanicalComputational fluid dynamicsNon-rigid registrationStatistical shape modelSupra-aortic vesselsThoracic aorta

Identifiers

PMID41055863

DOI10.1007/s11517-025-03459-y

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.