Literature DB >> 832350

Quantitative coronary arteriography: estimation of dimensions, hemodynamic resistance, and atheroma mass of coronary artery lesions using the arteriogram and digital computation.

B G Brown, E Bolson, M Frimer, H T Dodge.   

Abstract

More accurate characterization of coronary artery lesions is needed for evaluation of short and long-term interventions in coronary disease. A method of segmental artery analysis has been developed to maximize the information obtained from coronary arteriograms. Coronary lesions are traced from two projected, perpendicular, 35 mm cineangiographic views and transmetted, in digital form, to a PDP 11/45 computer. Magnification and distortion of the image are compensated for in order to determine the actual vessel profiles, using the catheter and its location as a scaling device. The two views are matched; a spatial representation of the vessel centerline is constructed mathematically; and orthogonal vessel diameters are computed at increments along this centerline. Assuming an elliptical lumen, the absolute and percentage reduction in diameter and cross-sectional area in the stenosis are computed. More complex functions (integrated atheroma mass, Poiseuille resistance, and orifice resistance) are then calculated. The accuracy and variability of the different steps involved in lesion analysis have been determined. Dimensional accuracies of +/- 150 microns (SD) are feasible. Examples are given of patients with Prinzmetal's angina and with progressive coronary disease.

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Year:  1977        PMID: 832350     DOI: 10.1161/01.cir.55.2.329

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  45 in total

Review 1.  The effect of DICOM on QCA and clinical trials.

Authors:  J H Reiber; G Koning; B Goedhart
Journal:  Int J Card Imaging       Date:  1998

2.  Comparison of digital and cine coronary arteriography.

Authors:  J C Gurley; S E Nissen
Journal:  Int J Card Imaging       Date:  1990

3.  Potential of digital flashing tomosynthesis for angiocardiographic evaluation.

Authors:  G M Stiel; L S Stiel; C A Nienaber
Journal:  J Digit Imaging       Date:  1992-08       Impact factor: 4.056

4.  Measuring progression and regression of coronary atherosclerosis in clinical trials: problems and progress.

Authors:  J Lespérance; D Waters
Journal:  Int J Card Imaging       Date:  1992

5.  Effects of video frame averaging, smoothing and edge enhancement on the accuracy and precision of quantitative coronary arteriography.

Authors:  K M Kavanaugh; I M Pinto; M J McGillem; S F DeBoe; G B Mancini
Journal:  Int J Card Imaging       Date:  1990

6.  Reproducibility of measurements of coronary narrowings by videodensitometry: unreliability of single view measurements.

Authors:  J Balkin; D Rosenmann; M Ilan; M M Zion
Journal:  Int J Card Imaging       Date:  1990

7.  Validation of a new automatic system for biplane quantitative coronary arteriography.

Authors:  M Büchi; O M Hess; R L Kirkeeide; T Suter; M Muser; H P Osenberg; P Niederer; M Anliker; K L Gould; H P Krayenbühl
Journal:  Int J Card Imaging       Date:  1990

8.  Normal Proximal Coronary Artery Diameters in Adults from India as Assessed by Computed Tomography Angiography.

Authors:  Manjappa Mahadevappa; Madhav Hegde; Ravi Math
Journal:  J Clin Diagn Res       Date:  2016-05-01

9.  Plaque development, vessel curvature, and wall shear stress in coronary arteries assessed by X-ray angiography and intravascular ultrasound.

Authors:  Andreas Wahle; John J Lopez; Mark E Olszewski; Sarah C Vigmostad; Krishnan B Chandran; James D Rossen; Milan Sonka
Journal:  Med Image Anal       Date:  2006-04-27       Impact factor: 8.545

10.  Clinical and angiographic variables affecting the progression of coronary artery disease as determined by quantitative angiography.

Authors:  A Joseph; J D Talley; A Shih; T Crum; R Vogel; J Kupersmith
Journal:  Int J Card Imaging       Date:  1994-09
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