Evidence map›Paper›PMID 41910865›Full record

ArticleThe international journal of cardiovascular imaging2026

Numerical simulations to predict complication after coarctation repair starting from 4D-Flow magnetic resonance imaging.

Katia Capellini, Lamia Ait-Ali, Simone Garzia, Nicola Martini, Alberto Clemente, Angelo Monteleone, Massimiliano Cantinotti, Giuseppe Santoro, Pierluigi Festa, Simona Celi

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 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

10 authors.

Katia CapelliniBioCardioLab, Bioengineering Unit, Fondazione G. Monasterio, Massa, Italy.
Lamia Ait-AliInstitute of Clinical Physiology CNR, Massa, Italy. aitlamia@ifc.cnr.it.
Simone GarziaBioCardioLab, Bioengineering Unit, Fondazione G. Monasterio, Massa, Italy.
Nicola MartiniBioCardioLab, Bioengineering Unit, Fondazione G. Monasterio, Massa, Italy.
Alberto ClementeDiagnostic Imaging, Department of Radiology, Fondazione G. Monasterio, Massa, Italy.
Angelo MonteleoneDiagnostic Imaging, Department of Radiology, Fondazione G. Monasterio, Massa, Italy.
Massimiliano CantinottiPediatric Cardiology and GUCH Unit, Fondazione G. Monasterio, Massa, Italy.
Giuseppe SantoroPediatric Cardiology and GUCH Unit, Fondazione G. Monasterio, Massa, Italy.
Pierluigi FestaPediatric Cardiology and GUCH Unit, Fondazione G. Monasterio, Massa, Italy.
Simona CeliBioCardioLab, Bioengineering Unit, Fondazione G. Monasterio, Massa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac magnetic resonance (CMR) is recommended in post-aortic coarctation (Ao-Coa) repair. The combined use of computational fluid dynamics (CFD) simulations and CMR is a powerful instrument to estimate hemodynamic indices. We report a case of a complex Ao-Coa, operated by extra-anatomic conduit, with a pseudoaneurysm of the aortic arch. A 4D-Flow analysis and CFD simulation, performed starting from CMR acquired 6 years before, highlight an increase in flow complexity in the same site.

Indexed as

Aneurysm, Aortic ArchAneurysm, FalseAortic Aneurysm, ThoracicAortic CoarctationBlood Vessel Prosthesis ImplantationComputer SimulationHemodynamicsModels, CardiovascularNumerical Analysis, Computer-AssistedPerfusion ImagingBlood Flow VelocityHumansPredictive Value of TestsRegional Blood FlowTime FactorsTreatment Outcome4D-FlowAorta coarctationCardiac magnetic resonanceNumerical simulations

Identifiers

PMID41910865
PMCPMC13253777

What OpenQuestion holds

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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.