A relationship between drug-resistant epilepsy and structural abnormalities in neuroimaging

Flores-Sobrecueva, Alejandro; Paláu-Hernández, Santiago; Cruz-Rosales, Juan L.; Hernández-Rodríguez, Héctor G.; Reyes-Vaca, Jorge Guillermo; Shiguetomi-Medina, Juan Manuel; Rodríguez‐Leyva, Ildefonso

doi:10.24875/rmn.19000090

Cited by 2 publications

(1 citation statement)

References 24 publications

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“…Besides, the generalized tonic–clonic seizure was predictive of treatment response, and this considerable link between focal epilepsy and drug resistance may represent structural/metabolic factors within the drug-resistant group [ 15 ]. Flores-Sobrecueva and colleagues [ 29 ] stated that the possibility to develop drug-resistant epilepsy is higher in patients with focal onset seizures compared to the generalized onset, with focal onset seizures representing 94% while generalized onset represented 6%.…”

Section: Discussionmentioning

confidence: 99%

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy

Abokrysha

Taha

Shamloul

et al. 2023

Egypt J Neurol Psychiatry Neurosurg

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Background Epilepsy is the third chronic brain illness worldwide. About a third of the epileptic patients will be drug resistant. Early identification of these patients is critical for appropriate treatment selection and prevention of the devastating consequences of recurrent seizures. The objective of this study aims to detect clinical, electrophysiological, and radiological predictors for drug-resistant epilepsy patients. Results One hundred fifty-five patients were included in this study, divided into a well-controlled epilepsy group (103 patients) and a drug-resistant group (52 patients). Both groups were compared regarding clinical, electrophysiological, and neuro-radiological data. Younger age at onset, history of delayed milestones, history of perinatal insult (especially hypoxia), mental retardation, neurological deficits, depression, status epilepticus (SE), complex febrile seizures, focal seizure to bilateral tonic–clonic convulsion as well as multiple seizures and high seizure frequency (daily) at onset, poor response to first anti-seizure drug (ASD), structural and metabolic etiology, abnormal brain imaging, and slow background and multifocal epileptiform discharges in EEG were significant risk factors for the development of drug-resistant epilepsy. Conclusion MRI abnormalities are the most significant predictor for drug-resistant epilepsy. Drug-resistant epilepsy is associated with clinical, electrophysiological, and radiological risk factors that can be used to diagnose drug-resistant patients early and choose the best treatment option and time.

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Section: Discussionmentioning

confidence: 99%

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy

Abokrysha

Taha

Shamloul

et al. 2023

Egypt J Neurol Psychiatry Neurosurg

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The Relationship between Electroencephalography Recording Results and Magnetic Resonance Imaging Abnormalities and Drug Resistance Focal Epilepsy: A Comparative Analysis Study in Bandung, Indonesia

Prasetya,

Gamayani,

Risan

2024

TONEUJ

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Introduction Drug-resistant Epilepsy (ERO) is a complex problem, both in diagnosis and management, and carries a high risk of death and risk of cognitive and behavioral problems. This study aims to determine the relationship between EEG recording results and structural abnormalities from MRI examination results in Drug-Resistant Epilepsy (DRE). Methods Quantitative comparative analysis was conducted to study focal epilepsy recorded in the pediatric neurology outpatient of Dr. Hasan Sadikin Hospital, Bandung, 2018-2023. Data collected from medical records included patient demographics and clinical data, EEG recording results, and MRI examination results. Data were subjected to Chi-square analysis with the alternative Fisher's exact test in SPSS 26. A p-value <0.05 was declared significant. Results From 67 samples, 34 DRE subjects and 33 drug-sensitive focal epilepsy (DSFO) subjects were obtained. More significant comorbidities were found in DRFO with a p-value of 0.027 and OR 8.88 (1.03-76.84). There was a significant difference in the results of EEG recordings in the two groups with p <0.001. The different EEG features were significant including slowing, polyspike, and frequency>1/60s. The MRI images were not found to be significantly different. The most common structural lesion found was focal cortical dysplasia in both groups. There was no correlation between MRI and EEG in DRE. Conclusion EEG recordings' results were better than MRI images' for predicting DRFO, including images of slowing, polyspike, and frequency >1/60. Both EEG and MRI had their respective values for predicting DRE.

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A relationship between drug-resistant epilepsy and structural abnormalities in neuroimaging

Cited by 2 publications

References 24 publications

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy

Clinical, radiological and electrophysiological predictors for drug-resistant epilepsy

The Relationship between Electroencephalography Recording Results and Magnetic Resonance Imaging Abnormalities and Drug Resistance Focal Epilepsy: A Comparative Analysis Study in Bandung, Indonesia

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