Evidence map›Paper›PMID 40066147›Full record

ArticleEuropean heart journal. Imaging methods and practice2025

The effect of respiratory motion compensation in intracardiac 4D flow magnetic resonance imaging on left ventricular flow dynamics, multicomponent particle tracing, and valve tracking.

Paul R Roos, Thomas In de Braekt, Hildo J Lamb, Jos J M Westenberg

Abstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2025. 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

4 authors.

Paul R RoosDepartment of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.ORCID https://orcid.org/0000-0003-1734-024X
Thomas In de BraektDepartment of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-7945-3421
Hildo J LambDepartment of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.ORCID https://orcid.org/0000-0002-6969-2418
Jos J M WestenbergDepartment of Radiology, Leiden University Medical Center, P.O. Box 9600, 2300 RC Leiden, The Netherlands.ORCID https://orcid.org/0000-0003-1946-1715

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: 4D flow magnetic resonance imaging (MRI) has enabled evaluation of intracardiac flow dynamics by particle tracing for visualizing and quantifying complex flow patterns. The aim of this study was to assess the impact of respiratory motion compensation on 4D flow MRI-based left ventricular four-component particle tracing, valve tracking, and haemodynamics. Methods and results: In this prospective cohort study, 4D flow MRI with and without respiratory motion compensation was performed in 15 healthy volunteers. Intracardiac particle tracing considered four components: direct flow, delayed ejection flow (DEF), retained inflow (RI), and residual volume. Data quality was assessed by comparing DEF and RI components. Particle tracing, valve tracking, kinetic energy (KE), and vorticity were compared between scan methods. Paired sample Conclusion: Respiratory motion compensation can improve accuracy of intracardiac particle tracing based on 4D flow MRI by decreasing mismatch to retrospective valve tracking. For intracardiac particle tracing, respiratory motion compensation is advised. Robust data quality assessment for particle tracing-based analyses is equally crucial.

Indexed as

4D flowflow dynamicsintracardiacparticle tracingvalve tracking

Identifiers

PMID40066147
PMCPMC11891475

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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.