Evidence map›Paper›PMID 37969333›Full record

ArticleEuropean heart journal. Imaging methods and practice2023

Non-invasive left ventricular pressure-volume loops from cardiovascular magnetic resonance imaging and brachial blood pressure: validation using pressure catheter measurements.

Per M Arvidsson, Peregrine G Green, William D Watson, Mayooran Shanmuganathan, Einar Heiberg, Giovanni Luigi De Maria, Håkan Arheden, Neil Herring, Oliver J Rider

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Imaging methods and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.5field-weighted citation impact, top 3% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
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  4. Characteristics and clinical significance of myocardial work in cardiac light-chain amyloidosis: pressure-volume loop analysis based on cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2026
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  16. Celebrating 1 year ofEuropean heart journal. Imaging methods and practice · 2024
    Article
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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

9 authors at 5 institutions in 2 countries.

Per M ArvidssonDepartment of Cardiovascular Medicine, John Radcliffe Hospital, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, United Kingdom.ORCID https://orcid.org/0000-0002-2262-3562
Peregrine G GreenOxford Heart Centre, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.
William D WatsonDepartment of Cardiovascular Medicine, John Radcliffe Hospital, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, United Kingdom.
Mayooran ShanmuganathanDepartment of Cardiovascular Medicine, John Radcliffe Hospital, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, United Kingdom.ORCID https://orcid.org/0000-0001-8036-6253
Einar HeibergClinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.ORCID https://orcid.org/0000-0003-2848-3326
Giovanni Luigi De MariaOxford Heart Centre, John Radcliffe Hospital, Oxford OX3 9DU, United Kingdom.
Håkan ArhedenClinical Physiology, Department of Clinical Sciences Lund, Lund University, Skåne University Hospital, Lund, Sweden.ORCID https://orcid.org/0000-0002-6124-3159
Neil HerringDepartment of Physiology, Anatomy and Genetics, University of Oxford, Oxford OX1 3PT, United Kingdom.ORCID https://orcid.org/0000-0001-8453-6133
Oliver J RiderDepartment of Cardiovascular Medicine, John Radcliffe Hospital, Oxford Centre for Clinical Magnetic Resonance Research, University of Oxford, Oxford OX3 9DU, United Kingdom.
John Radcliffe Hospital · GBLund University · SEBuckinghamshire Healthcare NHS Trust · GBPapworth Hospital · GBUniversity of Oxford · GB

Funding

British Heart Foundation FS/18/50/33807British Heart Foundation FS/SCRF/20/32005British Heart Foundation FS/SCRF/22/32014
6 · The paper itself

Abstract

Aims: Left ventricular (LV) pressure-volume (PV) loops provide gold-standard physiological information but require invasive measurements of ventricular intracavity pressure, limiting clinical and research applications. A non-invasive method for the computation of PV loops from magnetic resonance imaging and brachial cuff blood pressure has recently been proposed. Here we evaluated the fidelity of the non-invasive PV algorithm against invasive LV pressures in humans. Methods and results: Four heart failure patients with EF < 35% and LV dyssynchrony underwent cardiovascular magnetic resonance (CMR) imaging and subsequent LV catheterization with sequential administration of two different intravenous metabolic substrate infusions (insulin/dextrose and lipid emulsion), producing eight datasets at different haemodynamic states. Pressure-volume loops were computed from CMR volumes combined with (i) a time-varying elastance function scaled to brachial blood pressure and temporally stretched to match volume data, or (ii) invasive pressures averaged from 19 to 30 sampled beats. Method comparison was conducted using linear regression and Bland-Altman analysis. Non-invasively derived PV loop parameters demonstrated high correlation and low bias when compared to invasive data for stroke work (R Conclusion: Pressure-volume loops can be precisely and accurately computed from CMR imaging and brachial cuff blood pressure in humans.

Indexed as

cardiovascular magnetic resonance imaginghaemodynamicsheart failurenon-invasivephysiologypressure-volume loops

Identifiers

PMID37969333
PMCPMC10631830
OpenAlexW4388274391

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.