Patient Characteristics as Predictors of Image Quality and Diagnostic Accuracy of MDCT Compared With Conventional Coronary Angiography for Detecting Coronary Artery Stenoses: CORE-64 Multicenter International Trial | Zendy

Marc Dewey | Zendy; Andrea L. Vavere | Zendy; Armin ArbabZadeh | Zendy; Julie M. Miller | Zendy; Leonardo Sara | Zendy; Christopher Cox | Zendy; Ilan Gottlieb | Zendy; Kunihiro Yoshioka | Zendy; Narinder Paul | Zendy; John Hoe | Zendy; Albert de Roos | Zendy; Albert C. Lardo | Zendy; João A.C. Lima | Zendy; Melvin E. Clouse | Zendy

Open Access

Patient Characteristics as Predictors of Image Quality and Diagnostic Accuracy of MDCT Compared With Conventional Coronary Angiography for Detecting Coronary Artery Stenoses: CORE-64 Multicenter International Trial

Author(s) -

Marc Dewey,

Andrea L. Vavere,

Armin ArbabZadeh,

Julie M. Miller,

Leonardo Sara,

Christopher Cox,

Ilan Gottlieb,

Kunihiro Yoshioka,

Narinder Paul,

John Hoe,

Albert de Roos,

Albert C. Lardo,

João A.C. Lima,

Melvin E. Clouse

Publication year - 2009

Publication title -

american journal of roentgenology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.294

H-Index - 196

eISSN - 1546-3141

pISSN - 0361-803X

DOI - 10.2214/ajr.09.2833

Subject(s) - medicine , agatston score , radiology , image quality , logistic regression , cardiology , body mass index , stenosis , receiver operating characteristic , angiography , heart rate , coronary artery disease , blood pressure , coronary artery calcium , image (mathematics) , artificial intelligence , computer science

The purpose of the study was to investigate patient characteristics associated with image quality and their impact on the diagnostic accuracy of MDCT for the detection of coronary artery stenosis.

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