Circulation, Vol 76, 1282-1289, Copyright © 1987 by American Heart Association
D Kilpatrick and SJ Walker
We have developed computer algorithms that enable epicardial potential
distributions to be calculated from electrocardiographic body surface data.
To validate this inverse transformation we obtained body surface maps
during the ST segment in 55 patients with acute infarction who subsequently
underwent coronary arteriography and we constructed epicardial ST segment
potential distributions for each patient. From the unlabeled epicardial
maps one of us predicted the coronary artery that would be found to be
involved in the infarction. These predictions were compared with the
results of coronary arteriography and this showed that the analysis of the
epicardial map correctly predicted the coronary artery involved in 40 of 55
patients (72.7%). In another eight patients the anatomy was partially
predicted. In the 15 patients in whom the prediction was incorrect or
partially correct (27.3%), 11 had critical disease or occlusions of the
predicted coronary artery but the infarct-related artery was incorrectly
identified. This verifies that sensible epicardial potential maps can be
calculated from body surface electrocardiographic data, and that these data
are sufficiently accurate to predict the vessel involved in acute
infarction.
ARTICLES
A validation of derived epicardial potential distributions by prediction of the coronary artery involved in acute myocardial infarction in humans
Department of Medicine, University of Tasmania, Australia.
This article has been cited by other articles:
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D. Li, C. Y. Li, A. C. Yong, and D. Kilpatrick Source of Electrocardiographic ST Changes in Subendocardial Ischemia Circ. Res., May 19, 1998; 82(9): 957 - 970. [Abstract] [Full Text] [PDF] |
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