Evidence map›Paper›PMID 42346500›Full record

ArticleJournal of cardiovascular development and disease2026

Impact of Contour Boundary Offsets on 4D Flow CMR-Derived Intracardiac Haemodynamic Parameters.

Alexander Gall, Rui Li, Ciaran Grafton-Clarke, Zia Mehmood, Kurian Thampi, Amanda Noyes, David Hewson, Victoria Underwood, Rebekah Girling, David Marlevi and 4 more

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 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

14 authors.

Alexander GallNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0001-7700-3400
Rui LiNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.
Ciaran Grafton-ClarkeNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0002-8537-0806
Zia MehmoodNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.
Kurian ThampiCardiology Department, Norfolk and Norwich University Teaching Hospitals, Norwich NR4 7UY, UK.
Amanda NoyesCardiology Department, Norfolk and Norwich University Teaching Hospitals, Norwich NR4 7UY, UK.
David HewsonCardiology Department, Norfolk and Norwich University Teaching Hospitals, Norwich NR4 7UY, UK.
Victoria UnderwoodCardiology Department, Norfolk and Norwich University Teaching Hospitals, Norwich NR4 7UY, UK.
Rebekah GirlingCardiology Department, Norfolk and Norwich University Teaching Hospitals, Norwich NR4 7UY, UK.ORCID 0009-0004-6621-3233
David MarleviDepartment of Molecular Medicine and Surgery, Karolinska Institute, SE-171 76 Solna, Sweden.
Peter P SwobodaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds LS2 9JT, UK.
Rob J van der GeestLeiden University Medical Centre, 2333 Leiden, The Netherlands.ORCID 0000-0002-9084-5597
Gareth MatthewsNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0001-8353-4806
Pankaj GargNorwich Medical School, University of East Anglia, Norwich NR4 7TJ, UK.ORCID 0000-0002-5483-169X

Funding

Edwards Lifesciences (United States) 220703/Z/20/ZWellcome Trust THV-I24-023
6 · The paper itself

Abstract

Four-dimensional (4D) flow cardiovascular magnetic resonance assesses advanced haemodynamic parameters like kinetic energy (KE), vorticity, and viscous energy loss (vEL). However, gradient-based metrics (vorticity, vEL) are highly sensitive to partial volume effects near the fluid-tissue boundary. This study investigated the impact of systematic contour boundary offsets on these parameters to standardise analysis. Five cases underwent 4D flow imaging. Deep learning-derived automated segmentations of the cardiac chambers were generated. Haemodynamics were analysed using three contouring methods: the baseline mask, a one-voxel inward offset, and a two-voxel inward offset. KE, vorticity, and vEL decreased progressively with larger offsets. KE declined modestly with erosion (by approximately 18% and 35% at one- and two-voxel offsets, respectively), a reduction commensurate with the loss of integration volume rather than the removal of boundary artefacts. By contrast, the gradient-based metrics were disproportionately sensitive to boundary proximity. In the left ventricle, mean full-cycle vorticity decreased from 249.6 ± 79.9 s

Indexed as

4D flowcardiovascular magnetic resonancehaemodynamicskinetic energyviscous energy lossvorticity

Identifiers

PMID42346500
PMCPMC13302185

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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.