Evidence map›Paper›PMID 33240940›Full record

ArticleFrontiers in cardiovascular medicine2020

Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank.

Irem Cetin, Zahra Raisi-Estabragh, Steffen E Petersen, Sandy Napel, Stefan K Piechnik, Stefan Neubauer, Miguel A Gonzalez Ballester, Oscar Camara, Karim Lekadir

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
3.8field-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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Review
  6. Stability of dynamic radiomics features in cardiac MRI under noise.European heart journal. Imaging methods and practice · 2026
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  12. Genetics of Cardiac Aging Implicate Organ-Specific Variation.medRxiv : the preprint server for health sciences · 2024
    Article
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  20. Radiomics for the detection of diffusely impaired myocardial perfusion: A proof-of-concept study using 13N-ammonia positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    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

9 authors at 6 institutions in 3 countries.

Irem CetinBCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Zahra Raisi-EstabraghWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.
Steffen E PetersenWilliam Harvey Research Institute, NIHR Barts Biomedical Research Centre, Queen Mary University of London, London, United Kingdom.
Sandy NapelDepartment of Radiology, Stanford University, Stanford, CA, United States.
Stefan K PiechnikDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Stefan NeubauerDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
Miguel A Gonzalez BallesterBCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Oscar CamaraBCN MedTech, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, Spain.
Karim LekadirDepartament de Matematiques i Informatica, Universitat de Barcelona, Artificial Intelligence in Medicine Lab (BCN-AIM), Barcelona, Spain.
Pompeu Fabra University · ESUniversity of Oxford · GBQueen Mary University of London · GBStanford University · USUniversitat de Barcelona · ESWilliam Harvey Research Institute · GB

Funding

Computing, Optimizing, and Evaluating Quantitative Cancer Imaging BiomarkersU01CA187947 · NCI · STANFORD UNIVERSITY · PI NAPEL, SANDY A., RUBIN, DANIEL L · 2015 to 2019
$2.9M
British Heart Foundation FS/17/81/33318British Heart Foundation PG/14/89/31194Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/L016311/1NCI NIH HHS U01 CA187947
6 · The paper itself

Abstract

Cardiovascular magnetic resonance (CMR) radiomics is a novel technique for advanced cardiac image phenotyping by analyzing multiple quantifiers of shape and tissue texture. In this paper, we assess, in the largest sample published to date, the performance of CMR radiomics models for identifying changes in cardiac structure and tissue texture due to cardiovascular risk factors. We evaluated five risk factor groups from the first 5,065 UK Biobank participants: hypertension (

Indexed as

cardiovascular magnetic resonancecardiovascular risk factorsmachine learningradiomicsUK biobank

Identifiers

PMID33240940
PMCPMC7667130
OpenAlexW3096120119

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.