Global Advanced Research Journal of Medicine and Medical Sciences (GARJMMS) ISSN: 2315-5159
December 2017 Special Issue Vol. 6(12), pp. 330-335
Copyright © 2017 Global Advanced Research Journals

 

Full Length Research Paper

Characterization of Cardiac Diseases Using Multi-Slice Spiral Computed Tomography

Sara Khalifa1, Mohamed Yousef1,4, Ikhlas Abdelaziz1,5*, Jumaa Tamboul2, Awadia Gareeballah3 and Ala Mohammed Abd Elgyoum5

1College of Medical Radiological Sciences, Sudan University of science and Technology, Khartoum Sudan
2Department of Diagnostic Radiologic Technology, College of Applied Medical Sciences Taibah University, Almadina Almonawaraha, KSA.
3Faculty of Radiology Science and Medical Imaging, Alzaiem Alazhari University, P.O. Box 1432, Khartoum Sudan.
4Batterjee Medical College, Department of Radiological Science, Jeddah, Saudi Arabia.
5College of Radiologic and Nuclear Medicine Sciences, National Ribat University, Khartoum Sudan.

*Corresponding Author E-mail: ikhlas_abdelaziz@yahoo.com

Accepted 27 November, 2017

Abstract

This study was designed to characterize the cardiac diseases using MSCT, To determine the diagnostic value of MSCT in the cardiac diseases. 52 consecutive patients attending at Khartoum state Hospitals- Sudan their weight ranged 38-100 kg, during the period from 2016 to 2017, all Subjects underwent multi slices CT study for coronary artery angiography and calcium scoring test, measurements were represented by mean and standard deviation,  using the SPSS windows version 16 and excel. Results of this study revealed that most of the cases had coronary stenosis (21.2%) followed by Atherosclerosis13.5% and 2% had stenosis and rupture, most of the affected cases were males, their ages above 46 years and their weight above 60 kg. It concluded that 64-128 slice CT allows a non-invasive assessment of significant CAD with a high diagnostic and well characterized, strongly significant relationship were observed between final diagnosis and  age P value (0.001), however there is no significant difference between the final diagnosis  and  gender of patients P value (0.488), moreover there is  significant correlations between the final diagnosis and weight P value (0.001)

Keywords: Coronary disease; Coronary angiography; Diagnostic accuracy; Multi-slice Computed tomography

 

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