Role Of Magnetic Resonance Imaging With Diffusion And Perfusion In Assessment Of Acute Cerebrovascular Stroke | ||
| Al-Azhar International Medical Journal | ||
| Volume 2024, Issue 12, December 2024 | ||
| DOI: 10.58675/2682-339X.2831 | ||
| Authors | ||
| Mostafa Sonbol1; Mahmoud Elshamy1; Ahmed Ali2; Mohamed Abdel – Maksoud1 | ||
| 1Radiodiagnosis, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt | ||
| 2Neurology, Faculty of Medicine for Boys, Al-Azhar University, Cairo, Egypt | ||
| Abstract | ||
| Background: Stroke is a clinical illness characterized by a rapid onset of symptoms and signs of localized brain dysfunction. Aim: To highlight the role of MRI with perfusion and diffusion in early diagnosis of acute cerebrovascular stroke, which helps to detect which stroke cases are most likely to benefit from thrombolytic therapy. Patients and methods: This prospective study was performed on 40 cases that were suspected of having cerebral infarction and were referred to the radiodiagnosis department of the Neurology Department and outpatient neurological clinics of Al Hussein and Sayed Galal University Hospitals. Results: Most cases in diffusion-weighted imaging (DWI) showed hyperintense signal intensity. In the fluid-attenuated inversion recovery sequence (FLAIR), most cases showed no findings. Most of the patients did not perform the T2* sequence. Regarding magnetic resonance angiography (MRA), most cases detected M1 MCA occlusion. Regarding the T2 weighted image (T2W), in most cases, no findings were detected. Most of the cases in the studied group had more perfusion than diffusion (65%). Patients were either treated by TPA, mechanical thrombectomy, or medical treatment. Most patients in the mismatched group had a good outcome. Most patients in the matching group had bad outcomes. Conclusion: MRI is crucial for assessing acute stroke and providing vital information for therapy planning. Multimodal imaging aids in diagnosing ischemic stroke, selecting suitable cases for thrombolytic treatment, and predicting stroke prognosis. Combining MRI sequence information and mismatch parameters enhances the effectiveness of MRI-based thrombolysis. | ||
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