Value of Machine Learning–based Coronary CT Fractional Flow Reserve Applied to Triple-Rule-Out CT Angiography in Acute Chest Pain

PURPOSE: To evaluate the additional value of noninvasive artificial intelligence (AI)–based CT-derived fractional flow reserve (CT FFR), derived from triple-rule-out coronary CT angiography for acute chest pain (ACP) in the emergency department (ED) setting. MATERIALS AND METHODS: AI-based CT FFR fr...

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Dettagli Bibliografici
Pubblicato in:Radiol Cardiothorac Imaging
Autori principali: Martin, Simon S., Mastrodicasa, Domenico, van Assen, Marly, De Cecco, Carlo N., Bayer, Richard R., Tesche, Christian, Varga-Szemes, Akos, Fischer, Andreas M., Jacobs, Brian E., Sahbaee, Pooyan, Griffith, L. Parkwood, Matuskowitz, Andrew J., Vogl, Thomas J., Schoepf, U. Joseph
Natura: Artigo
Lingua:Inglês
Pubblicazione: Radiological Society of North America 2020
Soggetti:
Original Research
Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC7978005/
https://ncbi.nlm.nih.gov/pubmed/33778579
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryct.2020190137
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