Four-dimensional coronary artery motion analysis predicts the location of culprit lesions causing myocardial infarctions

A. O'Loughlin, J. French, David D. Richards, A. Denniss, J. Aben, A. Hennessy

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Invasive coronary angiograms are not currently useful in clinical practice for predicting the location of culprit lesions responsible for future coronary events.Anumber of promising plaque-imaging technologies have shown promise but have not fully addressed this clinical need. This study tests the hypothesis that four-dimensional quantitative coronary artery motion (4DQCAM) measured on invasive coronary angiograms is predictive of the location of culprit lesions responsible for myocardial infarctions.
Original languageEnglish
Pages (from-to)S149-S150
Number of pages1
JournalHeart, Lung and Circulation
Volume24
Issue numberSupplement 3
DOIs
Publication statusPublished - 2015

Keywords

  • coronary heart disease
  • myocardial infarction

Fingerprint

Dive into the research topics of 'Four-dimensional coronary artery motion analysis predicts the location of culprit lesions causing myocardial infarctions'. Together they form a unique fingerprint.

Cite this