Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{173365,
        author = {Abubakar Shehu Barde and Muhammad Zeeshan and Aalia Abdullah and Ayush kumar and Ashafa Isa},
        title = {Magnetic Resonance Imaging in Ischemic Stroke Diagnosis: A Systematic Review of Its Diagnostic Value},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {10},
        pages = {635-641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173365},
        abstract = {Strokes are one of the world's major causes of morbidity and mortality, accounting for 10% of all deaths. They are mostly ischemic in origin, meaning that when an artery is blocked, oxygen and nutrients are taken away from the brain, causing tissue death. The best post-stroke care depends on early diagnosis, and magnetic resonance imaging (MRI) has emerged as a key diagnostic technique for stroke, particularly acute ischemic stroke (AIS). When assessing strokes, CT is frequently utilized as the initial imaging modality. Nevertheless, there are golden hours or a window of opportunity for treatment during which brain tissue can be preserved; therefore, a treatment requires an imaging technique that can provide a detailed account of the process by identifying the penumbra and infarct core. The role of MRI in diagnosing and treating ischemic stroke, its function in detecting ischemic stroke, its advantages over other imaging modalities, and its use in treatment planning using advanced MRI technology, including Diffusion-Weighted Imaging (DWI), Perfusion-Weighted Imaging (PWI), DWI-PWI mismatch, Magnetic Resonance Angiography (MRA), and the incorporation of machine learning techniques, have all been covered in a literature search that was conducted using a variety of databases and articles published between 2010 and 2024. Even though MRI has better diagnostic accuracy, issues like cost, accessibility, and longer scan times still prevent it from being widely used. Nevertheless, MRI's capacity to distinguish between infarct core and penumbra, along with new machine learning applications, makes it a vital tool for enhancing patient outcomes in stroke care.},
        keywords = {Magnetic resonance imaging, Ischaemic stroke, Perfusion-weighted imaging, Diffusion-weighted imaging, Magnetic resonance angiography.},
        month = {March},
        }