Evidence map›Paper›PMID 39446045›Full record

ReviewRadiology. Cardiothoracic imaging2024

Impactful Cardiac CT and MRI Articles from 2023.

Fionn Coughlan, Sebastian Flynn, Alexander Haenel, Shane Crilly, Jonathon A Leipsic, Jonathan D Dodd

Abstract readReview
In one paragraph

Review in Radiology. Cardiothoracic imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Integrating Senescence and Oxidative Stress in Cardiac Disease.International journal of molecular sciences · 2025
    Review
  3. Review
  4. Radiology. Cardiothoracic imaging · 2025
    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

6 authors.

Fionn Coughlan *From the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).ORCID 0000-0001-5070-5330
Sebastian Flynn *From the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).ORCID 0000-0002-6597-5648
Alexander HaenelFrom the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).ORCID 0000-0002-5672-0547
Shane CrillyFrom the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).
Jonathon A LeipsicFrom the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).ORCID 0000-0002-6133-8334
Jonathan D DoddFrom the Department of Radiology, University of British Columbia, St Paul's Hospital, 1081 Burrard St, Vancouver, BC, Canada V6Z 1Y6 (F.C., A.H., J.A.L.); Department of Radiology, St Vincent's University Hospital, Dublin, Ireland (S.F., S.C., J.D.D.); and School of Medicine, University College Dublin, Dublin, Ireland (J.D.D.).ORCID 0000-0002-3476-8793

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac imaging is important in diagnosing, treating, and predicting prognosis in patients with cardiovascular disease. Imaging protocols and analysis are consistently evolving, and the implementation of artificial intelligence-based applications is of increasing interest. This review presents recent advancements in noninvasive cardiac imaging, specifically focusing on cardiac CT and MRI, from notable publications across multidisciplinary journals in 2023 of interest to both radiologists and referring clinicians in the field. The discussion encompasses the latest trials of CT fractional flow reserve and the performance of the newest generation of photon-counting detector CT, particularly in coronary stenosis quantification. Additionally, it addresses coronary plaque quantification using artificial intelligence applications and their implications from large patient cohorts, alongside prognostic outcomes, and the value of coronary artery calcification scores. Various aspects of CT trials, such as anatomic planning before revascularization, high-risk plaque features, outcomes, and pericoronary fat index, are evaluated. New insights from cardiac MRI trials for cardiomyopathies, including cardiac amyloidosis, dilated cardiomyopathy, hypertrophic cardiomyopathy, myocarditis, and valvular disease, are also outlined. The review concludes by highlighting impactful societal statements and guidelines.

Indexed as

Magnetic Resonance ImagingCardiac Imaging TechniquesCardiovascular DiseasesHeart DiseasesHumansTomography, X-Ray ComputedCardiacCoronary ArteriesCT AngiographyHeartLeft VentricleMR ImagingTranscatheter Aortic Valve Implantation/Replacement (TAVI/TAVR)

Identifiers

PMID39446045
PMCPMC11540293

What OpenQuestion holds

Textmetadata
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.