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AUTOMATED COMPUTER-AIDED STENOSIS DETECTION AT CORONARY CT ANGIOGRAPHY: INITIAL EXPERIENCE

Oleh   Elisabeth Arnoldi [-]
Kontributor / Dosen Pembimbing : Mulugeta Gebregziabher, U. Joseph Schoepf, Roman Goldenberg, Luis Ramos-Duran, Peter L. Zwerner, Konstantin Nikolaou, Maximilian F. Reiser, Philip Costello, Christian Thilo
Jenis Koleksi : Jurnal elektronik
Penerbit : Lain-lain
Fakultas :
Subjek :
Kata Kunci : Coronary artery disease . Coronary artery stenosis . Computed tomography . Computer-aided detection . Computer-aided diagnosis
Sumber : Springer
Staf Input/Edit : Irwan Sofiyan  
File : 1 file
Tanggal Input : 2020-05-13 23:22:10

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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