Background: Magnetic resonance imaging (MRI) has revolutionised the treatment of intractable epilepsy. ninety nine patients were sent to the KTH Peshawar Radiology Department for an evaluation of the function of MRI in the diagnosis, treatment, and prognosis of their alleged intractable epilepsy. Using a 1.5 Tesla Philips MRI scanner, the patients were examined, and twenty one aberrant findings were found in them, including vascular malformations, tumours, cortical dysplasia, gliosis, and white matter disorders. The ability to diagnose these disorders with MRI has proved to be helpful. The results of the research demonstrate the value of MRI in the diagnosis and management of intractable epilepsy. Using MRI may help with both determining the source of seizures and providing recommendations for possible treatments. Additionally, in epilepsy patients, MRI surveillance can forecast prognosis and illness progression. Aim: Using MRI, it is possible to identify the diagnosis, course of treatment, and prognosis for intractable epilepsy. This makes it possible to identify the underlying cause, direct treatment choices, track the development of the condition, and forecast the prognosis of the patient. Furthermore, it is critical to assess MRI's precision in this field. Methods: The Radiology Department of KTH Peshawar studied possible epilepsy patients between April 2015 and April 2016. The research included ninety-nine patients, each of whom had a thorough medical history, neurological examination, and standard radiographic evaluation. The patients' MRI scans were carried out and examined for any anomalies using a 1.5 Tesla Philips MRI equipment. In order to compare the results of the MRI scans with the clinical data and therapeutic outcomes of the patients. Results: twenty-one of the ninety-nine individuals that were assessed had abnormal MRI scan findings. Cortical dysplasia, gliosis, vascular malformations, tumours, and white matter disorders were among the illnesses that were found. The MRI scans were shown to be a useful tool for detecting and treating instances of untreatable epilepsy. Finding the origin of the seizures helped with the diagnosis and provided the best alternatives for therapy. Additional crucial MRI scan tasks included monitoring the progression of diseases and predicting the prognosis. Keywords: Diagnosis, Management, Prognosis, MRI, Intractable Epilepsy, KTH Peshawar
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