Evidence map›Paper›PMID 36776959›Full record

ArticleCardiology research and practice2023

Quantifying Myocardial Blood Flow and Resistance Using 4D-Flow Cardiac Magnetic Resonance Imaging.

Rebecca C Gosling, Gareth Williams, Abdulaziz Al Baraikan, Samer Alabed, Eylem Levelt, Amrit Chowdhary, Peter P Swoboda, Ian Halliday, D Rodney Hose, Julian P Gunn and 6 more

Open access · goldAbstract read
In one paragraph

Article in Cardiology research and practice, 2023. 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
0.2field-weighted citation impact, top 46% 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, 1 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

16 authors at 5 institutions in 1 country.

Rebecca C GoslingDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0001-7465-3563
Gareth WilliamsDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Abdulaziz Al BaraikanDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Samer AlabedDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Eylem LeveltLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-3799-7102
Amrit ChowdharyLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-2073-4138
Peter P SwobodaLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Ian HallidayDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
D Rodney HoseDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Julian P GunnDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
John P GreenwoodLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Sven PleinLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, UK.
Andrew J SwiftDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
James M WildDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Pankaj GargNorwich Medical School, University of East Anglia, Norwich, UK.
Paul D MorrisDepartment of Infection Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK.
Insigneo · GBUniversity of Leeds · GBSheffield Teaching Hospitals NHS Foundation Trust · GBUniversity of Sheffield · GBUniversity of East Anglia · GB

Funding

British Heart Foundation SP/14/6/31350British Heart Foundation TG/19/1/34451Medical Research Council MR/M008894/1Wellcome Trust 205188/Z/16/Z
6 · The paper itself

Abstract

Background: Ischaemia with nonobstructive coronary arteries is most commonly caused by coronary microvascular dysfunction but remains difficult to diagnose without invasive testing. Myocardial blood flow (MBF) can be quantified noninvasively on stress perfusion cardiac magnetic resonance (CMR) or positron emission tomography but neither is routinely used in clinical practice due to practical and technical constraints. Quantification of coronary sinus (CS) flow may represent a simpler method for CMR MBF quantification. 4D flow CMR offers comprehensive intracardiac and transvalvular flow quantification. However, it is feasibility to quantify MBF remains unknown. Methods: Patients with acute myocardial infarction (MI) and healthy volunteers underwent CMR. The CS contours were traced from the 2-chamber view. A reformatted phase contrast plane was generated through the CS, and flow was quantified using 4D flow CMR over the cardiac cycle and normalised for myocardial mass. MBF and resistance (MyoR) was determined in ten healthy volunteers, ten patients with myocardial infarction (MI) without microvascular obstruction (MVO), and ten with known MVO. Results: MBF was quantified in all 30 subjects. MBF was highest in healthy controls (123.8 ± 48.4 mL/min), significantly lower in those with MI (85.7 ± 30.5 mL/min), and even lower in those with MI and MVO (67.9 ± 29.2 mL/min/) ( Conclusions: MBF and MyoR can be quantified from 4D flow CMR. Resting MBF was reduced in patients with MI and MVO.

Identifiers

PMID36776959
PMCPMC9911256
OpenAlexW4318953360

What OpenQuestion holds

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LicenceCC BY
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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.