Evidence map›Paper›PMID 35076858›Full record

ArticleMedical & biological engineering & computing2022

Numerical modeling of residual type B aortic dissection: longitudinal analysis of favorable and unfavorable evolution.

Khannous Fatma, Guivier-Curien Carine, Gaudry Marine, Piquet Philippe, Deplano Valérie

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Article in Medical & biological engineering & computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Khannous FatmaAix Marseille Univ, CNRS, IRPHE-UMR7342, Ecole Centrale, Marseille, France.
Guivier-Curien CarineAix Marseille Univ, CNRS, IRPHE-UMR7342, Ecole Centrale, Marseille, France.
Gaudry MarineAix Marseille Univ, CNRS, IRPHE-UMR7342, Ecole Centrale, Marseille, France.
Piquet PhilippeAix Marseille Univ, APHM, Timone Hospital, Department of Vascular Surgery, Marseille, France.
Deplano ValérieAix Marseille Univ, CNRS, IRPHE-UMR7342, Ecole Centrale, Marseille, France. valerie.deplano@univ-amu.fr.ORCID http://orcid.org/0000-0002-0555-4446

Funding

Labex MEC ANR-11-LABX-0092
6 · The paper itself

Abstract

Residual type B aortic dissection was numerically investigated to highlight the contribution of biomechanical parameters to the pathology's evolution. Patient-specific geometries from cases involving both favorable and unfavorable evolution were modeled to assess their hemodynamic features. This original approach was supported by a longitudinal study confirming the association between morphological changes, hemodynamic features, adverse clinical outcomes, and CT-angioscan observations on the same patient. Comparing one patient with unfavorable evolution with one with favorable one, we identify potential biomechanical indicators predictive of unfavorable evolution: (i) a patent false lumen with a flow rate above 50% of inlet flow rate; (ii) high wall shear stress above 18 Pa at entry tears, and above 10 Pa at some regions of the false lumen wall; (iii) low time-averaged wall shear stress in distal false lumen below 0.5 Pa; (iv) vortical structure dynamics. Although these comparisons could only be conducted on 2 patients and need to be confirmed by a larger number of cases, our findings point to these hemodynamic markers as possible candidates for early evaluation of the pathology's evolution towards an unfavorable scenario. Graphical Abstract Correlation between hemodynamics index and thrombus initiation for unfavorable case. ET

Indexed as

Aortic DissectionModels, CardiovascularHemodynamicsHumansLongitudinal StudiesStress, MechanicalCFD simulationsHemodynamical markersLongitudinal studyResidual type B aortic dissection

Identifiers

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.