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2009 JRNL PP Elisabeth Arnoldi - 1.pdf
Terbatas Irwan Sofiyan
» ITB

To evaluate the performance of a computer-aided algorithm for automated stenosis detection at coronary CT angiography (cCTA). Methods: We investigated 59 patients (38 men, mean age 58±12 years) who underwent cCTA and quantitative coronary angiography (QCA). All cCTA data sets were analyzed using a software algorithm for automated, without human interaction, detection of coronary artery stenosis. The performance of the algorithm for detection of stenosis of 50% or more was compared with QCA. Results: QCA revealed a total of 38 stenoses of 50% or more of which the algorithm correctly