NDLI: Assessment of coronary artery stenoses: comparison of quantitative coronary angiography with visual interpretation and myocardial scintigraphy

Content Provider	IEEE Xplore Digital Library
Author	Moertl, D. Binder, T. Haddad, M. Gottsauner-Wolf, M. Sochor, H. Probst, P. Porenta, G.
Copyright Year	1995
Description	Author affiliation: Dept. of Cardiology, Wien Univ., Austria (Moertl, D.; Binder, T.; Haddad, M.; Gottsauner-Wolf, M.; Sochor, H.; Probst, P.; Porenta, G.)
Abstract	The aim of the study was to compare visual estimates of the severity of coronary stenoses (VE) and quantitative coronary angiography (QCA) and to relate both parameters to myocardial perfusion scintigraphy. The authors studied 80 patients (63 men, 17 women) with angiographically determined single vessel disease (47 LAD, 22 LCX, 11 RCA) and no prior myocardial infarction. 45 of these patients also underwent a Tl-201 perfusion SPECT. VE was performed from coronary angiograms by 3 independent observers. QCA was performed off-line using the QCA-CMS 2.3D. Interobserver variability of VE was highest for intermediate stenoses (40-60% diameter stenosis). VE agreed better with QCA%-area stenosis for severe lesions (>50%-diameter stenosis) and with QCA%-diameter stenosis for mild lesions (<40%-diameter stenosis). Diagnostic accuracies of VE and QCA were high (area under ROC-curve/spl ap/0.90). 50% QCA%-diameter stenosis and 63% percent stenosis by VE were the optimal threshold values to differentiate normal and abnormal results of myocardial scintigraphy. Thus, VE yields adequate accuracy in most clinical routine patients. For borderline lesions and for scientific studies QCA should be preferred.
Starting Page	145
Ending Page	148
File Size	382304
Page Count	4
File Format	PDF
ISBN	0780330536
DOI	10.1109/CIC.1995.482593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-09-10
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Arteries Angiography Myocardium Quantum cellular automata Lesions Coronary arteriosclerosis Cardiology Ischemic pain Optical computing Catheters
Content Type	Text
Resource Type	Article

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