Cardiovascular risk assessment based on the quantification of coronary calcium in contrast-enhanced coronary computed tomography angiography
Author(s) -
Bernhard Bischoff,
C. Kantert,
Tanja Meyer,
Martin Hadamitzky,
Stefan Martinoff,
Albert Schömig,
Jörg Hausleiter
Publication year - 2011
Publication title -
european heart journal - cardiovascular imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.576
H-Index - 92
eISSN - 2047-2412
pISSN - 2047-2404
DOI - 10.1093/ejechocard/jer261
Subject(s) - medicine , coronary artery calcium , radiology , calcification , cardiology , computed tomography , contrast (vision) , risk assessment , computed tomography angiography , coronary artery disease , artificial intelligence , computer security , computer science
The extent of coronary artery calcification (CAC) has been shown to be a strong and independent predictor for cardiovascular events. Usually, CAC scoring is performed in non-contrast-enhanced computed tomography (CT) examinations. The ability and accuracy of cardiovascular risk classification according to the degree of CAC determined in contrast-enhanced coronary CT angiography (CCTA) has not been investigated so far. The aim of this analysis was to develop and validate a method for CAC risk classification in CCTA.
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