title: Quantification of relative coronary arterial stenosis by cinevideodensitometric analysis of coronary arteriograms.
abstract: A computerized method for measuring relative coronary arterial stenosis by cinevideodensitometric analysis of 35 mm coronary arteriograms was developed and validated. Video images of projected coronary arteriographic frames were digitized into a 512 X 512 matrix (256 gray levels) by computer analysis that compared integrated contrast density measured over stenotic and normal arterial segments after background subtraction. Pixel density was 70 to 80 pixels/mm2 actual area. In phantom studies performed on plexiglass cylinders, cinevideodensitometric measurements correlated linearly with concentration of contrast medium (r = .99), with cross-sectional areas (r = .99) of contrast-filled cylinders 1 to 4 mm in diameter over a wide range of contrast concentrations (25% to 100%), and with relative stenosis of eccentric lesions in the cylinders (r = .99, SEE = 3.9%). In postmortem studies of patients who died after undergoing coronary arteriography, videodensitometric measurements of relative stenosis correlated highly (r = .97, SEE = 7.0%) with percentage stenosis based on actual area measurements obtained histologically with computer-assisted microscopic planimetry. Cinevideodensitometric analysis of coronary arteriograms was reproducible (r = .92, SEE = 7.7%), and interobserver variability was low (r = .99, SEE = 4.3%). In addition, videodensitometry provided comparable values for eccentric coronary lesions filmed in right anterior oblique and left anterior oblique projections (r = .99, SEE = 1.9%). Cinevideodensitometric analysis is an accurate, rapid method for quantifying the relative stenosis of eccentric coronary lesions without manual tracing of arterial borders.
mesh_terms: D015502:Absorptiometry, Photon; D001157:Arterial Occlusive Diseases / Q000000981:diagnostic imaging*; D002932:Cineangiography / Q000379:methods*; D003201:Computers; D017023:Coronary Angiography; D003327:Coronary Disease / Q000000981:diagnostic imaging*; D003626:Data Display; D006801:Humans; D008961:Models, Structural