ArticleEuropean radiology2021
Brain metabolic characteristics distinguishing typical and atypical benign epilepsy with centro-temporal spikes.
Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Nuclear imaging for localization and surgical outcome prediction in epilepsy: A review of latest discoveries and future perspectives.Frontiers in neurology · 2022Pooled it
- [European journal of nuclear medicine and molecular imaging · 2024Article
- [European radiology · 2024Article
- Processing speed dysfunction is associated with functional corticostriatal circuit alterations in childhood epilepsy with centrotemporal spikes: a PET and fMRI study.European journal of nuclear medicine and molecular imaging · 2022Article
- Aerobic glycolysis imaging of epileptic foci during the inter-ictal period.EBioMedicine · 2022Article
Corrections and comments
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Authors and funding
14 authors.
Funding
Abstract
objectivesAtypical benign epilepsy with centro-temporal spikes (BECTS) have less favorable outcomes than typical BECTS, and thus should be accurately identified for adequate treatment. We aimed to investigate the glucose metabolic differences between typical and atypical BECTS using
methodsForty-six patients with typical BECTS, 31 patients with atypical BECTS and 23 controls who underwent [
resultsThe |AI| was found significantly higher in atypical BECTS than in typical BECTS (p = 0.040). Atypical BECTS showed more hypo-metabolism regions than typical BECTS, mainly located in the fronto-temporo-parietal cortex. The PET model had significantly higher area under the curve (AUC) than the clinical model (0.91 vs. 0.70, p = 0.006). The hybrid model had the highest sensitivity (0.90), specificity (0.85), and accuracy (0.87) of all three models.
conclusionsAtypical BECTS showed more widespread and severe hypo-metabolism than typical BECTS, depending on which the two groups can be well distinguished. The combination of metabolic characteristics and clinical variables has the potential to be used clinically to distinguish between typical and atypical BECTS. KEY POINTS: • Distinguishing between typical and atypical BECTS is very important for the formulation of treatment regimens in clinical practice. • Atypical BECTS showed more widespread and severe hypo-metabolism than typical BECTS, mainly located in the fronto-temporo-parietal cortex. • The logistic regression model based on PET outperformed that based on clinical characteristics in classification of typical and atypical BECTS, and the hybrid model achieved the best classification performance.
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Registered trials
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