Regional Left Ventricular Function Analysis By 128-Row Multi-Detector Computed ‎Tomography in Patients with Coronary Artery Disease

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Date
2019-04
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Publisher
International Journal of Pharmaceutical Research and Allied Sciences
Abstract
Purpose: The aim of this study was to estimate the role of multidetector computed tomography (MDCT) in the evaluation of LV regionalwall motion abnormalities (RWMA) in subjects complaining of coronary artery heart disease (CAD) and to compare MDCT data with twodimension standard echocardiography (2DSE) as the standard reference. Patients and Methods: Sixty subjects with supposed coronaryartery heart disease were submitted to retrospective gating contrast-enhanced MDCT. 10 phases of the cardiac cycle were performed todetect end-systolic and end-diastolic phases at LV short-axis view. LV Regional wall motion was assessed qualitatively (visually in cinemode) and quantitatively (measuring the percentage of systolic wall thickening on static end-diastolic and end-systolic images) on cardiacshort-axis view and long-axis views using a 17-segment model. 2DSE was performed within two weeks before MDCT. Results: Goodsegmental agreement was found between echocardiography and MDCT (k=0.7; p < 0.001), MDCT detected 720 (98.7%) of 729 segmentsthat showed normal motility, 172 (74.7%) of 230 segments showed hypokinesia and 49 (80.3%) of 61 segments showed akinesia ordyskinesia. Regarding the diagnostic performance, the sensitivity, specificity, and accuracy of MDCT reached 80.4%, 97.4%, and 93.5%,respectively, assuming 2DSE as the gold standard. Conclusion: Evaluation of regional left ventricular function by using MDCT is a precisemethod, with good agreement with 2D ECG.
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Keywords
Coronary artery disease, regional left ventricular function, MDCT
Citation
Bahaaeldin Hanan A., Ibrahim A. Libda, Ahmed A. El Sammak, Ekhlas M. Hussien, Farida M. El Fawal. Regional Left Ventricular Function Analysis By 128-Row Multi-Detector Computed ‎Tomography in Patients with Coronary Artery Disease. International Journal of Medical Research Professionals. 2019 Dec; 8(4): 97-104