Advancements in Magnetic Resonance Imaging for Enhanced Diagnosis and Treatment of Brain Tumors: A Review
##plugins.themes.academic_pro.article.main##
Abstract
Magnetic Resonance Imaging (MRI) stands as a cornerstone in the diagnosis, treatment planning, and post-treatment monitoring of brain tumors, offering a non-invasive and detailed insight into the intricate landscape of the brain. In the realm of diagnosis, MRI's high-resolution imaging capability provides clinicians with precise information regarding tumor location, size, and morphology, facilitating accurate differentiation between various tumor types. Advanced MRI techniques such as diffusion-weighted imaging (DWI), perfusion-weighted imaging (PWI), and magnetic resonance spectroscopy (MRS) offer additional dimensions by revealing tumor cellularity, vascularity, and metabolic characteristics, thus enhancing diagnostic accuracy. MRI plays a pivotal role in treatment planning by delineating tumor boundaries and their relationships with adjacent critical structures, guiding surgical interventions, radiation therapy, and chemotherapy protocols. Functional MRI (fMRI) aids in identifying eloquent brain regions, minimizing postoperative neurological deficits. Additionally, intraoperative MRI enables real-time assessment of tumor resection margins, optimizing surgical outcomes. Despite its indispensable role, MRI does have limitations, including challenges in distinguishing tumor recurrence from treatment-related changes and artifacts in certain brain regions. Nonetheless, ongoing advancements in MRI technology, including novel imaging sequences and contrast agents, hold promise for overcoming these limitations and further enhancing the accuracy and effectiveness of brain tumor management.
Keywords: Magnetic Resonance Imaging, Brain Imaging, Tumor, Segmentation, Brain Disease
##plugins.themes.academic_pro.article.details##
This work is licensed under a Creative Commons Attribution 4.0 International License.