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Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f2470a542052451180155800326e3ce3

Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

About this item

Full title

Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2024-01, Vol.14 (1), p.1493-1493, Article 1493

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Coronary artery disease is defined by the existence of atherosclerotic plaque on the arterial wall, which can cause blood flow impairment, or plaque rupture, and ultimately lead to myocardial ischemia. Intravascular ultrasound (IVUS) imaging can provide a detailed characterization of lumen and vessel features, and so plaque burden, in coronary vess...

Alternative Titles

Full title

Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f2470a542052451180155800326e3ce3

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f2470a542052451180155800326e3ce3

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-024-51508-7

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