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International Journal of Cardiovascular and Cerebrovascular Disease(CEASE PUBLICATION) Vol. 2(1), pp. 1 - 5
DOI: 10.13189/ijccd.2014.020101
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A Novel Quantitative Index of Coronary Artery Motion from Multislice Computed Tomography and the Location of Coronary Artery Disease


Aiden JC O’Loughlin 1,*, Linda Tang 2, Daniel Moses 2, Wisdom Tong DiagRad 2, John K French 3, David AB Richards 3, A. Robert Denniss 1,4, Annemarie Hennessy 1
1 School of Medicine, University of Western Sydney, Campbelltown, Sydney, 2560, NSW, Australia
2 Department of Radiology, Liverpool Public Hospital, Liverpool, Sydney, 2170, NSW, Australia
3 Department of Cardiology, Liverpool Public Hospital, Liverpool, Sydney, 2170, NSW, Australia
4 Department of Cardiology, Blacktown Public Hospital, Liverpool, Sydney, 2170, NSW, Australia

ABSTRACT

Background: We describe a novel quantitative index of coronary artery motion (QCAM) from multislice computed tomography (MSCT) and test its association with the location of coronary artery disease. Methods: 25 patients with known or suspected coronary artery disease underwent ECG-gated MSCT. The coronary artery images were divided into 150 sections using landmarks that could be identified at time points at end-diastole and end-systole. QCAM was derived from the change in centerline length of the coronary sections between these time points. Plaques were identified and classified by type and severity of stenosis. Results: The mean QCAM was significantly less in the coronary sections with plaque (94.3%+/-8.1%) than those without (99.0%+/-10.2%) (p=0.023). There was a significant correlation between QCAM and plaque stenosis (Spearman’s rank correlation coefficient, ρ= -0.192, p=0.018). The correlation between QCAM and plaque type approached statistical significance (Spearman’s rank correlation coefficient, ρ= -0.156, p=0.057). Sensitivity, specificity, positive and negative predictive values for the identification of coronary plaque within a section for QCAM <100% were 80%, 46%, 27% and 90% respectively. Conclusions: QCAM is a novel quantitative measurement of coronary artery motion that correlates with the location of coronary artery disease. Quantitative evaluation of coronary artery motion provides a new approach to understanding the biomechanics of coronary artery disease.

KEYWORDS
MSCT, Coronary Artery Disease, Coronary Motion, Quantitative Modeling

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Aiden JC O’Loughlin , Linda Tang , Daniel Moses , Wisdom Tong DiagRad , John K French , David AB Richards , A. Robert Denniss , Annemarie Hennessy , "A Novel Quantitative Index of Coronary Artery Motion from Multislice Computed Tomography and the Location of Coronary Artery Disease," International Journal of Cardiovascular and Cerebrovascular Disease(CEASE PUBLICATION), Vol. 2, No. 1, pp. 1 - 5, 2014. DOI: 10.13189/ijccd.2014.020101.

(b). APA Format:
Aiden JC O’Loughlin , Linda Tang , Daniel Moses , Wisdom Tong DiagRad , John K French , David AB Richards , A. Robert Denniss , Annemarie Hennessy (2014). A Novel Quantitative Index of Coronary Artery Motion from Multislice Computed Tomography and the Location of Coronary Artery Disease. International Journal of Cardiovascular and Cerebrovascular Disease(CEASE PUBLICATION), 2(1), 1 - 5. DOI: 10.13189/ijccd.2014.020101.