Literature DB >> 21732933

Neuroimaging predictors of AED resistance in new-onset epilepsies.

Fernando Cendes1.   

Abstract

The best prognostic factors in early-onset epilepsies are the response to the first antiepileptic drug (AED) trial, age at seizure onset, number of seizures prior to treatment, and the presence of a lesion or abnormal neurologic examination. However, early and adequate response to AED is most likely an epiphenomenon reflecting the nature of underlying epileptogenicity, which may be defined as a complex interaction of underlying pathology, genetics, and environment. Patients with the same type of epileptogenic lesion, for example, hippocampal sclerosis, may have a varying response to AED. Modern neuroimaging, in particular quantitative magnetic resonance imaging (MRI) techniques may be helpful to better understand this complex interaction of factors leading to refractoriness. Patients who respond well to AEDs have no or minor MRI abnormalities, and among those with underlying lesions there is an inverse correlation between outcome and the extent of MRI-defined neuronal damage outside the main lesion, which may be undetectable by visual analyses of routine MRI. The extent of neuronal damage appears to be related to the severity of initial precipitating injuries, probably interacts with genetic factors, and may progress over time when seizures are uncontrolled. The presence and extent of abnormalities detected by quantitative MRI may also be helpful to guide AED withdrawal in those patients who are seizure free for >2 years. Combined MRI measures may have potential clinical value for predicting AED response in near future. Wiley Periodicals, Inc.
© 2011 International League Against Epilepsy.

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Year:  2011        PMID: 21732933     DOI: 10.1111/j.1528-1167.2011.03143.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  4 in total

Review 1.  Neuroimaging the epileptogenic process.

Authors:  Sandy R Shultz; Terence J O'Brien; Maria Stefanidou; Ruben I Kuzniecky
Journal:  Neurotherapeutics       Date:  2014-04       Impact factor: 7.620

2.  Automated Online Quantification Method for 18F-FDG Positron Emission Tomography/CT Improves Detection of the Epileptogenic Zone in Patients with Pharmacoresistant Epilepsy.

Authors:  Vanessa Cristina Mendes Coelho; Marcia E Morita; Barbara J Amorim; Celso Darío Ramos; Clarissa L Yasuda; Helder Tedeschi; Enrico Ghizoni; Fernando Cendes
Journal:  Front Neurol       Date:  2017-09-01       Impact factor: 4.003

Review 3.  Quantitative Pharmaco-Electroencephalography in Antiepileptic Drug Research.

Authors:  Yvonne Höller; Christoph Helmstaedter; Klaus Lehnertz
Journal:  CNS Drugs       Date:  2018-09       Impact factor: 5.749

Review 4.  Not all that glitters is gold: A guide to surgical trials in epilepsy.

Authors:  Lara Jehi; Nathalie Jetté
Journal:  Epilepsia Open       Date:  2016-07-27
  4 in total

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