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Updated: Sep 21, 2025

Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
Published on: September 20, 2024
PET/MRI in the Presurgical Evaluation of Patients with Epilepsy: A Concordance Analysis
Katalin Borbély1, Miklós Emri2,3, István Kenessey4,5
1PET/CT Outpatient Department, National Institute of Oncology, H1122 Budapest, Hungary.
Abstract:
The aim of our prospective study was to evaluate the clinical impact of hybrid [18F]-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging ([18F]-FDG PET/MRI) on the decision workflow of epileptic patients with discordant electroclinical and MRI data. A novel mathematical model was introduced for a clinical concordance calculation supporting the classification of our patients by subgroups of clinical decisions. Fifty-nine epileptic patients with discordant clinical and diagnostic results or MRI negativity were included in this study. The diagnostic value of the PET/MRI was compared to other modalities of presurgical evaluation (e.g., electroclinical data, PET, and MRI). The results of the population-level statistical analysis of the introduced data fusion technique and concordance analysis demonstrated that this model could be the basis for the development of a more accurate clinical decision support parameter in the future. Therefore, making the establishment of "invasive" (operable and implantable) and "not eligible for any further invasive procedures" groups could be much more exact. Our results confirmed the relevance of PET/MRI with the diagnostic algorithm of presurgical evaluation. The introduction of a concordance analysis could be of high importance in clinical and surgical decision-making in the management of epileptic patients. Our study corroborated previous findings regarding the advantages of hybrid PET/MRI technology over MRI and electroclinical data.
Insights
Hybrid [18F]-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (PET/MRI) improves clinical decisions for epilepsy patients with conflicting data. A new concordance model enhances surgical eligibility classification, aiding presurgical evaluation.
Area of Science:
- Neurology
- Medical Imaging
- Nuclear Medicine
Background:
- Epilepsy management often faces challenges with discordant electroclinical and MRI findings.
- Presurgical evaluation for epilepsy requires accurate diagnostic tools to guide treatment decisions.
Purpose of the Study:
- To assess the clinical impact of hybrid [18F]-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging ([18F]-FDG PET/MRI) on decision-making workflows for epilepsy patients.
- To introduce a novel mathematical model for clinical concordance calculation to aid in patient subgroup classification.
Main Methods:
- A prospective study involving 59 epileptic patients with discordant clinical/diagnostic results or MRI negativity.
- Comparison of [18F]-FDG PET/MRI diagnostic value against electroclinical data, PET, and MRI in presurgical evaluation.
- Application of a novel data fusion and concordance analysis technique.
Main Results:
- Hybrid [18F]-FDG PET/MRI demonstrated relevance within the presurgical diagnostic algorithm for epilepsy.
- The developed concordance analysis model shows potential for more accurate classification of patients for invasive procedures.
- Statistical analysis supported the utility of the data fusion technique for clinical decision support.
Conclusions:
- Hybrid [18F]-FDG PET/MRI offers advantages over MRI and electroclinical data in presurgical epilepsy evaluation.
- Concordance analysis is crucial for refining clinical and surgical decision-making in epilepsy management.
- The novel model may lead to more precise patient stratification for interventions.
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