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

Autor:	Richard R. Bayer, Akos Varga-Szemes, Christian Tesche, L. Parkwood Griffith, Thomas J. Vogl, U. Joseph Schoepf, Simon S. Martin, Brian E. Jacobs, Andrew J. Matuskowitz, Marly van Assen, Andreas Fischer, Carlo N. De Cecco, Pooyan Sahbaee, Domenico Mastrodicasa
Rok vydání:	2020
Předmět:	medicine.medical_specialty medicine.diagnostic_test business.industry Coronary ct Triple rule out fungi food and beverages Emergency department Fractional flow reserve 030204 cardiovascular system & hematology humanities 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine Text mining Angiography Acute chest pain Medicine Radiology Nuclear Medicine and imaging Radiology business Value (mathematics)
Zdroj:	Radiology: Cardiothoracic Imaging. 2:e190137
ISSN:	2638-6135
DOI:	10.1148/ryct.2020190137
Popis:	CT-based fractional flow reserve can improve the efficiency of patients assigned to triple-rule-out CT angiography in the emergency department.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8c7ae22613a7ceeee22cf7a42e48d068 https://doi.org/10.1148/ryct.2020190137 Zobrazit plný text záznamu