Evidence map›Paper›PMID 32783626›Full record

ReviewThe British journal of radiology2020

Functional cardiac CT-Going beyond Anatomical Evaluation of Coronary Artery Disease with Cine CT, CT-FFR, CT Perfusion and Machine Learning.

Joyce Peper, Dominika Suchá, Martin Swaans, Tim Leiner

Abstract readReview
In one paragraph

Review in The British journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Streamlining 4D Cardiac Image Workflows: Open-Source Tools for Segmentation, Registration, and Visualization.Functional imaging and modeling of the heart : ... International Workshop, FIMH ..., proceedings. FIMH (Conference) · 2025
    Article
  4. Article
  5. Article
  6. Diagnostic accuracy of on-site coronary computed tomography-derived fractional flow reserve in the diagnosis of stable coronary artery disease.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2022
    Article
  7. Article
  8. Review
  9. 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

4 authors.

Joyce PeperDepartment of Cardiology, St. Antonius Hospital Koekoekslaan 1, Nieuwegein, the Netherlands.
Dominika SucháDepartment of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.
Martin SwaansDepartment of Cardiology, St. Antonius Hospital Koekoekslaan 1, Nieuwegein, the Netherlands.
Tim LeinerDepartment of Radiology, University Medical Center Utrecht, Heidelberglaan 100, 3584CX, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this review is to provide an overview of different functional cardiac CT techniques which can be used to supplement assessment of the coronary arteries to establish the significance of coronary artery stenoses. We focus on cine-CT, CT-FFR, CT-myocardial perfusion and how developments in machine learning can supplement these techniques.

Indexed as

Machine LearningClinical Trials as TopicComputed Tomography AngiographyCoronary AngiographyCoronary Artery DiseaseCoronary StenosisFractional Flow Reserve, MyocardialHumansMyocardial Perfusion ImagingStroke VolumeTomography, X-Ray ComputedVascular CalcificationVentricular Function, Left

Identifiers

PMID32783626
PMCPMC7465866

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.