A computerized method for the application of coronary artery disease risk classification models to a large patient population

Published

Conference Paper

© 1992 IEEE. We have developed a flexible and powerful coronary anatomy classification system which can be applied to the development and evaluation of qualitative and quantitative methods for assessing myocardium in jeopardy on the basis of the severity and location of coronary artery lesions, relative size of arteries, and contributions from collateral blood flow. The system employs a graphical user interface for the interactive generation of a coronary tree diagram depicting a patient's coronary anatomy. An anatomical relational database for over 5000 patients has been collected over the last year as part of the routine clinical operation of our catheterization laboratory. Various classification schemes can be rapidly applied to this data set and itera- lively modified to arrive at a model which correlates best with patient prognosis. These models will incorporate both qualitative and quantitative assessments of vessel and lesion geometry and configuration. The flexibility provided by the easy-to-use interface in combination with a powerful relational database results in a unique system for the development of clinical tools to better define the significance of coronary artery disease detected by angiography.

Full Text

Duke Authors

Cited Authors

  • Spero, LA; Fortin, DF; Cusma, JT; Califf, RM; Phillips, HR; Bashore, TM

Published Date

  • January 1, 1992

Published In

  • Proceedings Computers in Cardiology, Cic 1992

Start / End Page

  • 211 - 214

International Standard Book Number 10 (ISBN-10)

  • 0818635525

International Standard Book Number 13 (ISBN-13)

  • 9780818635526

Digital Object Identifier (DOI)

  • 10.1109/CIC.1992.269409

Citation Source

  • Scopus