Department of Radiology, College of Medicine, Qassim University, Buraydah, Saudi Arabia
Volume: 9 | Issue: 1 | Pages: 51-55 | June 2023 | https://doi.org/10.54940/ms94397891 | PDF
Received:12/10/2022 | Revised: 24/12/2022 | Accepted:26/12/2022
Abstract
Objectives: The current study was designed to capture comprehensive imaging of acute ischemic stroke (AIS) using multidetector computed tomography (MDCT). The study also evaluated the accessibility and potential use of computed tomography angiography (CTA) and sought to determine stroke subtypes in patients with AIS.
Methods: The presence of ischemic lesions was detected by the MDCT, transesophageal echocardiography (TEE), and non-contrast flat detector computed tomography (FDCT). The study selected the AIS patients with hyperacute stroke for less than 6 hours from July 2021 to August 2022. The CTA of cervical arteries was performed in order to determine stroke subtypes.
Results: The MDCT-based detection of ischemic lesions in 110 studied ischemic stroke patients showed 34% had extensive intracranial artery damage, 86% detected a partial territorial infarct, while 52% patients had detected artery-to-artery embolization. These percentages of detected ischemic lesions overlapped in all studied AIS patients. The findings showed significant susceptible plaques and arterial stenosis.
Conclusion: The findings of the study clearly indicated that AIS patients admitted within less than 6 hours of a hyperacute stroke showed multiple types of ischemic lesions. The findings also concluded that the MDCT technique is highly useful for the detection of multiple patterns of brain infarction and for the determination of the causative mechanisms in patients with acute ischemic stroke.
Keywords
Imaging; Acute Ischemic Stroke; Multidetector Computed Tomography; Ischemic Lesions.
How to Cite
Alshehri, F. (2023). Imaging Based Detection of Acute Ischemic Stroke Via Multidetector Computed Tomography, Journal of Umm Al-Qura University for Medical Sciences, 9(1), pp. 51-55. https://doi.org/10.54940/ms94397891