Evidence map›Paper›PMID 35399091›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2022

High-resolution non-contrast free-breathing coronary cardiovascular magnetic resonance angiography for detection of coronary artery disease: validation against invasive coronary angiography.

Muhummad Sohaib Nazir, Aurélien Bustin, Reza Hajhosseiny, Momina Yazdani, Matthew Ryan, Vittoria Vergani, Radhouene Neji, Karl P Kunze, Edward Nicol, Pier Giorgio Masci and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Diagnostic accuracy of whole heart coronary magnetic resonance angiography: a systematic review and meta-analysis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Pooled it
  2. Coronary Artery Blood Flow Imaging Using 3D Flow MRI.Magnetic resonance in medicine · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Image navigator-based, automated coronary magnetic resonance angiography for the detection of coronary artery stenosis.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Highly efficient, free-breathing whole-chest equilibrium phase bT1RESS MR angiography: Initial clinical experience.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    Article
  19. Article
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

15 authors.

Muhummad Sohaib NazirSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK. sohaib.nazir@kcl.ac.uk.ORCID 0000-0003-2749-1033
Aurélien BustinSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Reza HajhosseinySchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Momina YazdaniSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Matthew RyanBritish Heart Foundation Centre of Excellence and National Institute for Health Research Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, Kings College London, London, UK.
Vittoria VerganiSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Radhouene NejiSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Karl P KunzeSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Edward NicolSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Pier Giorgio MasciSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Divaka PereraBritish Heart Foundation Centre of Excellence and National Institute for Health Research Biomedical Research Centre at the School of Cardiovascular Medicine and Sciences, Kings College London, London, UK.
Sven PleinSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Amedeo ChiribiriSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
René BotnarSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, 4th Floor Lambeth Wing, Westminster Bridge Road, London, SW1 7EH, UK.

Funding

British Heart Foundation CH/16/2/32089Research for Patient Benefit Programme PB-PG-0416-20008Research Trainees Coordinating Centre CL-2019-17-001Wellcome Trust 203148/Z/16/Z
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) is the single most common cause of death worldwide. Recent technological developments with coronary cardiovascular magnetic resonance angiography (CCMRA) allow high-resolution free-breathing imaging of the coronary arteries at submillimeter resolution without contrast in a predictable scan time of ~ 10 min. The objective of this study was to determine the diagnostic accuracy of high-resolution CCMRA for CAD detection against the gold standard of invasive coronary angiography (ICA).

methodsForty-five patients (15 female, 62 ± 10 years) with suspected CAD underwent sub-millimeter-resolution (0.6 mm

resultsThe mean duration of image acquisition was 10.4 ± 2.1 min. On a per patient analysis, the sensitivity, specificity, positive predictive value and negative predictive value (95% confidence intervals) were 95% (75-100), 54% (36-71), 60% (42-75) and 93% (70-100), respectively. On a per vessel analysis the sensitivity, specificity, positive predictive value and negative predictive value (95% confidence intervals) were 80% (63-91), 83% (77-88), 49% (36-63) and 95% (90-98), respectively.

conclusionAs an important step towards clinical translation, we demonstrated a good diagnostic accuracy for CAD detection using high-resolution CCMRA, with high sensitivity and negative predictive value. The positive predictive value is moderate, and combination with CMR stress perfusion may improve the diagnostic accuracy. Future multicenter evaluation is now required.

Indexed as

Coronary Artery DiseaseCoronary StenosisMyocardial Perfusion ImagingCoronary AngiographyFemaleHumansMagnetic Resonance AngiographyMagnetic Resonance SpectroscopyPredictive Value of TestsProspective StudiesSensitivity and SpecificityCardiovascular magnetic resonance angiographyCoronary artery diseaseCoronary imaging

Identifiers

PMID35399091
PMCPMC8996676

What OpenQuestion 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 OpenQuestion graph.