Coronary artery motion analysis for the prediction of clinical coronary artery events

Abstract

This thesis examines the hypothesis that coronary artery motion analysis is predictive of the location of clinical coronary artery events. It includes a preamble that describes a clinical scenario highlighting this unmet clinical need and describes in detail the components of this thesis. The thesis includes an overarching statement and a series of published and unpublished manuscripts. The published manuscripts describe in detail the findings that: 1. Qualitative coronary artery motion analysis predicts the location of culprit lesions responsible for ST segment elevation myocardial infarctions (published prior to commencement of this doctoral degree). 2. The pattern of qualitative coronary artery motion in patients with subsequent ST segment elevation myocardial infarction is not different to the pattern in angiographically normal coronary arteries. 3. Two-dimensional quantitative coronary artery motion analysis predicts the location of future non-ST segment elevation myocardial infarctions. 4. Quantitative coronary artery motion analysis using multislice computed tomography correlates with the location of coronary artery disease. The unpublished manuscripts describe in detail (that): 5. Two-dimensional quantitative coronary artery motion analysis predicts the location of future ST segment elevation myocardial infarctions. 6. A four-dimensional quantitative method for coronary artery motion analysis and its relationship to both the location of a. stenotic disease, and b. lesion location in ST segment elevation myocardial infarctions. An important conclusion of this thesis is that coronary artery motion analysis has utility for the prediction of clinical coronary artery events, although further development and refinement of analysis methodology is required prior to its clinical application.

Date of Award	2014
Original language	English