Evidence map›Paper›PMID 35070805›Full record

ArticleCardiovascular diagnosis and therapy2021

MRI-based comprehensive analysis of vascular anatomy and hemodynamics.

Dominik Daniel Gabbert, Arash Kheradvar, Michael Jerosch-Herold, Thekla Helene Oechtering, Anselm Sebastian Uebing, Hans-Heiner Kramer, Inga Voges, Carsten Rickers

Open access · diamondAbstract read
In one paragraph

Article in Cardiovascular diagnosis and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Review
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

8 authors at 6 institutions in 2 countries.

Dominik Daniel GabbertDepartment of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany.
Arash KheradvarThe Edwards Lifesciences Center for Advanced Cardiovascular Technology, Department of Biomedical Engineering, University of California, Irvine, CA, USA.
Michael Jerosch-HeroldHarvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
Thekla Helene OechteringDepartment of Radiology and Nuclear Medicine, Universität zu Lübeck, Lübeck, Germany.
Anselm Sebastian UebingDepartment of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany.
Hans-Heiner KramerDepartment of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany.
Inga VogesDepartment of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany.
Carsten RickersDepartment of Congenital Heart Disease and Pediatric Cardiology, DZHK (German Center for Cardiovascular Research), partner site Hamburg/Kiel/Lübeck, University Hospital Schleswig-Holstein, Kiel, Germany.
German Centre for Cardiovascular Research · DEUniversity Hospital Schleswig-Holstein · DEHarvard University · USUniversity of California, Irvine · USUniversity of Lübeck · DEUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStandardized methods for mapping the complex blood flow in vessels are essential for processing the large data volume acquired from 4D Flow MRI. We present a method for systematic and efficient analysis of anatomy and flow in large human blood vessels. To attain the best outcomes in cardiac surgery, vascular modifications that lead to secondary flow patterns such as vortices should be avoided. In this work, attention was paid to the undesired cancelation of vortices with opposite directions of rotation, known as Dean flow patterns, using hemodynamic parameters such as circulation and helicity density.

methodsOur approach is based on the multiplanar reconstruction (MPR) of a multi-dimensional feature-space along the blood vessel's centerline. Hemodynamic parameters and anatomic information were determined in-plane from the reconstructed feature-space and from the blood vessel's centerline. A modified calculation of circulation and helicity density and novel parameters for quantifying Dean flow were developed. To test the model performance, we applied our methods to three test cases.

resultsComprehensive information on position, magnitude and interrelation of vascular anatomy and hemodynamics were extracted from 4D Flow MRI datasets. The results show that the Dean flow patterns can be efficiently assessed using the novel parameters.

conclusionsOur approach to comprehensively and simultaneously quantify multiple parameters of vascular anatomy and hemodynamics from 4D Flow MRI provides new insights to map complex hemodynamic conditions.

Indexed as

4D Flow MRI4DPC-MRIcardiovascular hemodynamicscongenital heart diseasefluid dynamics

Identifiers

PMID35070805
PMCPMC8748470
OpenAlexW3141836934

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.