Dataset Information

Clinical Management of Seizures in Patients With Low-Grade Glioma.

ABSTRACT: Seizures, transient disruptions of normal brain electrical activity, are common for patients with low-grade glioma (LGG) and significantly affect quality of life. Up to 75% of patients with a LGG will have seizures in the course of their disease (compared with 1%-2% of the general population). Depending on the type of abnormal electrical activity, the functional implications of seizure can impact any domain, including mental status, sensation or strength. In most cases, either the seizure or the medications used to treat the seizure may contribute to cognitive and psychosocial difficulties of various degrees of severity. Hence, effective management of seizures is a major priority for patients with LGG. Evidence-based guidelines suggest that levetiracetam is the best first-line agent for treatment of seizures in this population due to both its efficacy and tolerability. An important consideration in the field of neuro-oncology is that levetiracetam has very few drug interactions. Unfortunately, approximately one-third of patients with LGG have refractory epilepsy where additional agents such as valproic acid, or lacosamide, lamotrigine and nonpharmacologic therapies such as diet-based interventions, epilepsy surgery, and devices are considered.

SUBMITTER: Piotrowski AF

PROVIDER: S-EPMC4696025 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Clinical Management of Seizures in Patients With Low-Grade Glioma.

Piotrowski Anna F AF Blakeley Jaishri J

Seminars in radiation oncology 20150223 3

Seizures, transient disruptions of normal brain electrical activity, are common for patients with low-grade glioma (LGG) and significantly affect quality of life. Up to 75% of patients with a LGG will have seizures in the course of their disease (compared with 1%-2% of the general population). Depending on the type of abnormal electrical activity, the functional implications of seizure can impact any domain, including mental status, sensation or strength. In most cases, either the seizure or the ...[more]

PMID: 26050593

Similar Datasets

Project description:BackgroundLow-grade gliomas (LGGs) are frequently associated with epilepsy. There are few studies addressing the impact of seizures, antiseizure medications (ASMs), and lesion localization on presurgery cognitive functioning.MethodsWe tested the relation between the above-mentioned variables in a continuous series of 73 young patients (mean age 38.3 years ± 11.7) affected by LGGs and epilepsy. The anatomical areas, involved in this sample, were the left insula with surrounding cortical and subcortical areas, the right precentral gyrus/rolandic operculum, and the white matter and cortical regions beneath.ResultsPatients' presurgery cognitive status was within the normal range, with borderline performance for some tasks. We tested whether lower scores were related with lesion or with epilepsy-related factors. Multiple regression identified variables that predict test scores. The Token test score was predicted by a model (p = .0078) containing the DT2T1 MRI, corrected for seizure features. Object naming performance was predicted by a model (p = .0113) containing the localization, the DT2T1 MRI, corrected for sex, EEG, and onset. Verbal fluency score was predicted by a model (p = .0056) containing the localization and the DT2T1 MRI, corrected for AEDs and EEG. Working memory score was predicted by a model (p = .0117) containing Engel class, the DT2T1 MRI, corrected for sex. Clock drawing score was predicted by a model (p < .0001) containing the Engel class, AEDs, and EEG. TMT A score was predicted by a model (p = .0022) containing localization, corrected for EEG. TMT B-A score was predicted by a model (p = .0373) containing localization. Voxel Lesion Symptom Mapping analyses carried out on patients' lesion volumes confirmed that patients' level of performance correlated with lesion-related variables.ConclusionThis preliminary study indicates that the presurgical level of performance for language tasks and for cognitive flexibility and shifting is mainly predicted by lesion-related variables, working memory by both lesion and epilepsy-related variables. Epilepsy clinical and instrumental characteristics predicted performance for visuospatial planning.

Dataset Information

Clinical Management of Seizures in Patients With Low-Grade Glioma.

Publications

Clinical Management of Seizures in Patients With Low-Grade Glioma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets