Evidence map›Paper›PMID 42479336›Full record

ArticleThe international journal of cardiovascular imaging2026

Feasibility of 12-lead ECG reconstruction at rest and during adenosine stress perfusion inside a 3-Tesla MR scanner.

Debbie Falconer, Maroua Mehri, Mohammed Bhiri, Matthew Webber, Isabelle Whitmore, Emma Martin, Lorena Topala, Giovanni Vagliani, Franca Morselli, Haytham Shah and 12 more

Abstract read
In one paragraph

Article in The international journal of cardiovascular imaging, 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
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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

22 authors.

Debbie FalconerUCL Institute of Cardiovascular Science, University College London, London, UK.
Maroua MehriEpsidy, Rue du Morvan, Vandoeuvre-les-Nancy, France.
Mohammed BhiriEpsidy, Rue du Morvan, Vandoeuvre-les-Nancy, France.
Matthew WebberUCL Institute of Cardiovascular Science, University College London, London, UK.
Isabelle WhitmoreUCL Institute of Cardiovascular Science, University College London, London, UK.
Emma MartinUCL Institute of Cardiovascular Science, University College London, London, UK.
Lorena TopalaUCL Institute of Cardiovascular Science, University College London, London, UK.
Giovanni VaglianiEpsidy, Rue du Morvan, Vandoeuvre-les-Nancy, France.
Franca MorselliUCL Institute of Cardiovascular Science, University College London, London, UK.
Haytham ShahUCL Medical School, University College London, London, UK.
Swapnanil DeUCL Medical School, University College London, London, UK.
Thomas A TreibelUCL Institute of Cardiovascular Science, University College London, London, UK.
Michele OriniKing's College London, Strand, London, UK.
Nish ChaturvediUCL Institute of Cardiovascular Science, University College London, London, UK.
Iain PierceUCL Institute of Cardiovascular Science, University College London, London, UK.
Peter KellmanUCL Institute of Cardiovascular Science, University College London, London, UK.
Pier D LambiaseUCL Institute of Cardiovascular Science, University College London, London, UK.
James C MoonUCL Institute of Cardiovascular Science, University College London, London, UK.
Alun D HughesUCL Institute of Cardiovascular Science, University College London, London, UK.
Freddy OdilleIADI Laboratory, Institut National de la Santé et de la Recherche Médicale, Rue du Morvan, Vandoeuvre-les-Nancy, France.
Guillaume CalmonEpsidy, Rue du Morvan, Vandoeuvre-les-Nancy, France.
Gabriella CapturUCL Institute of Cardiovascular Science, University College London, London, UK. gabriella.captur@ucl.ac.uk.

Funding

British Heart Foundation SP/20/2/34841University College London UCL-Wellington Fellowship
6 · The paper itself

Abstract

Background Electrocardiographic (ECG) devices in magnetic resonance (MR) scanners have a narrow bandwidth and suffer from signal distortion, preventing measurement of QRS/ QT durations, or detection of ST/ T-wave changes during ischaemia. We integrated an external device with novel post-processing software into a 3 Tesla (T) scanner to assess feasibility and accuracy for reconstructing 12-lead ECGs prior to and during adenosine infusion. Methods Reference 12-lead ECGs were first recorded outside the MR-environment. Using three MR-safe electrode patches, in-bore ECGs were then recorded prior to and during adenosine infusion. Post-processing removed artefacts and 12-lead ECGs were reconstructed from the raw signal using a subject-specific matrix. In-bore and reference ECGs were compared using Pearson's correlation coefficient on the PQRST waveform and by manual measurements of QRS and QT durations. Adenosine-induced ischaemic changes were compared with corresponding territories on stress perfusion maps. Results In 26 participants (70.8 ± 13.0 years; 34.6% female), in-bore ECGs were recorded without additional scan time. Reconstruction took < 2 min per participant. In-bore and reference ECGs were strongly correlated (r = 0.81, interquartile range 0.72-0.88), and mean differences in QRS and QT durations were small (-12.5 ms [95% limits of agreement - 42.5, 17.5 ms], and - 5.5 ms [-54.6, 43.6 ms] respectively). Ischaemic ECG changes during adenosine predicted stress myocardial blood flow (MBF) < 1.75 ml/g/min with sensitivity 91.7% (95% confidence interval 66.7, 100.0), specificity 59.3% (39.6, 77.6), positive predictive value (PPV) 33.3% (11.4, 57.7), negative predictive value (NPV) 97.0% (90.0, 100.0) and area under curve 0.74 (0.61, 0.86). Conclusion In this proof-of-concept study, in-bore ECGs correlated closely with reference ECGs. In-bore ECGs during stress perfusion have high specificity and NPV, but low sensitivity and PPV for predicting stress MBF < 1.5 ml/g/min. This may hold value for improving R-peak detection, patient monitoring and stress perfusion map interpretation.

Indexed as

AdenosineCoronary CirculationElectrocardiographyHeart RateMagnetic Resonance ImagingMyocardial Perfusion ImagingSignal Processing, Computer-AssistedVasodilator AgentsAction PotentialsAgedAged, 80 and overEquipment DesignFeasibility StudiesFemaleHumansMaleAdenosineVasodilator AgentsAdenosineCardiovascular magnetic resonanceCardiovascular monitoringECGIn-bore electrocardiogramStress ECG

Identifiers

PMID42479336
PMCPMC13646000

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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.