Evidence map›Paper›PMID 38525948›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2024

High-resolution free-breathing automated quantitative myocardial perfusion by cardiovascular magnetic resonance for the detection of functionally significant coronary artery disease.

R Crawley, K P Kunze, X Milidonis, J Highton, S McElroy, S M Frey, D Hoefler, C Karamanli, N C K Wong, S J Backhaus and 5 more

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Quantitative myocardial blood flow and perfusion reserve with exercise cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2025
    Article
  7. Deep learning motion correction of quantitative stress perfusion cardiovascular magnetic resonance.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 5 countries.

R CrawleySchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0002-6357-7654
K P KunzeSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0001-6403-2712
X MilidonisSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0002-5446-9459
J HightonSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
S McElroySchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0002-4271-5931
S M FreyDepartment of Cardiology, University Hospital Basel, Basel, Switzerland.ORCID 0000-0002-6786-7931
D HoeflerDepartment of Radiotherapy, University of Erlangen, Erlangen, Germany.
C KaramanliSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
N C K WongSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.
S J BackhausDepartment of Cardiology, Campus Kerckhoff of the Justus-Liebig-University Giessen, Kerckhoff-Clinic, Bad Nauheim, Germany.ORCID 0000-0002-2683-6418
E AlskafSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0003-4007-6854
R NejiSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0002-6543-4390
C M ScannellSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0001-9240-793X
S PleinSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0002-0997-4384
A ChiribiriSchool of Biomedical Engineering & Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.ORCID 0000-0003-3394-4289
St Thomas' Hospital · GBFriedrich-Alexander-Universität Erlangen-Nürnberg · DEJustus-Liebig-Universität Gießen · DEUniversity Hospital of Basel · CHUniversity of Leeds · GB

Funding

British Heart Foundation BHF TG/18/2/33768Wellcome TrustWellcome Trust WT 203148/Z/16/Z
6 · The paper itself

Abstract

aimsCurrent assessment of myocardial ischaemia from stress perfusion cardiovascular magnetic resonance (SP-CMR) largely relies on visual interpretation. This study investigated the use of high-resolution free-breathing SP-CMR with automated quantitative mapping in the diagnosis of coronary artery disease (CAD). Diagnostic performance was evaluated against invasive coronary angiography (ICA) with fractional flow reserve (FFR) measurement. METHODS AND

resultsSeven hundred and three patients were recruited for SP-CMR using the research sequence at 3 Tesla. Of those receiving ICA within 6 months, 80 patients had either FFR measurement or identification of a chronic total occlusion (CTO) with inducible perfusion defects seen on SP-CMR. Myocardial blood flow (MBF) maps were automatically generated in-line on the scanner following image acquisition at hyperaemic stress and rest, allowing myocardial perfusion reserve (MPR) calculation. Seventy-five coronary vessels assessed by FFR and 28 vessels with CTO were evaluated at both segmental and coronary territory level. Coronary territory stress MBF and MPR were reduced in FFR-positive (≤0.80) regions [median stress MBF: 1.74 (0.90-2.17) mL/min/g; MPR: 1.67 (1.10-1.89)] compared with FFR-negative regions [stress MBF: 2.50 (2.15-2.95) mL/min/g; MPR 2.35 (2.06-2.54) P < 0.001 for both]. Stress MBF ≤ 1.94 mL/min/g and MPR ≤ 1.97 accurately detected FFR-positive CAD on a per-vessel basis (area under the curve: 0.85 and 0.96, respectively; P < 0.001 for both).

conclusionA novel scanner-integrated high-resolution free-breathing SP-CMR sequence with automated in-line perfusion mapping is presented which accurately detects functionally significant CAD.

Indexed as

Coronary AngiographyCoronary Artery DiseaseFractional Flow Reserve, MyocardialMagnetic Resonance Imaging, CineAgedFemaleHumansMaleMiddle AgedMyocardial Perfusion ImagingSensitivity and SpecificitySeverity of Illness Indexcardiovascular magnetic resonanceCMRcoronary artery diseasemyocardial blood flowmyocardial perfusionquantitative perfusion

Identifiers

PMID38525948
PMCPMC11210990
OpenAlexW4393160378

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.