ArticleEpilepsy & behavior : E&B2021
Quantitative
Article in Epilepsy & behavior : E&B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Nuclear imaging for localization and surgical outcome prediction in epilepsy: A review of latest discoveries and future perspectives.Frontiers in neurology · 2022Pooled it
- Anatomy-corrected metabolic asymmetry predicts seizure freedom after surgery in focal cortical dysplasia.European journal of nuclear medicine and molecular imaging · 2026Article
- Surgical targeting of lateralizedEpilepsia · 2025Article
- SimultaneousNeuroradiology · 2025Article
- Independent component analysis of resting-state fMRI identifies regions associated with seizure freedom after laser interstitial thermal therapy for temporal lobe epilepsy.Frontiers in neurology · 2025Article
- Decomposed FDG PET-based phenotypic heterogeneity predicting clinical prognosis and decision-making in temporal lobe epilepsy patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024Article
- Artificial intelligence in epilepsy - applications and pathways to the clinic.Nature reviews. Neurology · 2024Review
- Enhancing the Diagnostic Utility of ASL Imaging in Temporal Lobe Epilepsy through FlowGAN: An ASL to PET Image Translation Framework.medRxiv : the preprint server for health sciences · 2024Article
- ANTsX neuroimaging-derived structural phenotypes of UK Biobank.Scientific reports · 2024Article
- Predicting seizure outcome after epilepsy surgery: Do we need more complex models, larger samples, or better data?Epilepsia · 2023Article
- Enhancement ofDiagnostics (Basel, Switzerland) · 2022Article
- Volumetric glutamate imaging (GluCEST) using 7T MRI can lateralize nonlesional temporal lobe epilepsy: A preliminary study.Brain and behavior · 2021Article
- Clinical Application of Machine Learning Models for Brain Imaging in Epilepsy: A Review.Frontiers in neuroscience · 2021Review
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveFluorodeoxyglucose-positron emission tomography (FDG-PET) is an established, independent, strong predictor of surgical outcome in refractory epilepsy. In this study, we explored the added value of quantitative [
methodsMachine learning predictive models of surgical outcome were created using a random forest classifier trained on quantitative features in 89 patients with drug-refractory temporal lobe epilepsy evaluated at the Hospital of the University of Pennsylvania epilepsy surgery program (2003-2016). Quantitative features were calculated from asymmetry features derived from image processing using Advanced Normalization Tools (ANTs).
resultsThe best-performing model used quantification and had an out-of-bag accuracy of 0.71 in identifying patients with seizure recurrence (Engel IB or worse) which outperformed that using qualitative clinical data by 10%. This model is shared through open-source software for research use. In addition, several asymmetry features in temporal and extratemporal regions that were significantly associated with seizure freedom are identified for future study. SIGNIFICANCE: Complex quantitative [
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.