Objective
To evaluate the relationship between multimodal diagnostic concordance and postoperative seizure outcomes in patients with drug-resistant epilepsy (DRE) undergoing stereo-electroencephalography (SEEG)-guided volumetric radiofrequency thermocoagulation (RFTC).
Methods
In this multicenter retrospective study, 63 patients with DRE (43 children and 20 adults) underwent SEEG-guided volumetric RFTC between January 2020 and January 2024. All patients received comprehensive presurgical evaluations, including high-resolution MRI, PET, interictal and ictal video-EEG (VEEG), interictal and ictal SEEG, and electrically elicited seizures (EES). Pairwise concordance among these modalities was analyzed to assess diagnostic alignment. Postoperative seizure outcomes were evaluated after a minimum follow-up period of 12 months.
Results
Compared to the other modalities, SEEG-based modalities (ictal SEEG, interictal SEEG, and EES) demonstrated the highest concordance and sensitivity, often approaching 100 %, but were associated with lower specificity and elevated false-positive rates. MRI and VEEG offered more balanced diagnostic profiles, with moderate sensitivity and higher specificity. PET showed moderate concordance (79.66 %–88.52 %) and sensitivity (77.78 %–92.31 %), but low specificity (13.64 %–27.27 %) and high false-positive rates (72.73 %–86.36 %). SEEG-based assessments had the lowest false-negative rates, reinforcing their critical role in localizing the epileptogenic zone (EZ).
Conclusion
Higher concordance among presurgical diagnostic modalities, particularly those involving SEEG-based techniques, is linked to more accurate EZ localization. The perfect (100 %) concordance between interictal/ictal SEEG and EES-induced seizures suggests EES can reliably replicate epileptiform activity. This supports its potential to reduce inpatient monitoring by triggering seizures without waiting for spontaneous events. By comparing prior VEEG semiology with interictal SEEG, clinicians can confirm whether EES accurately mirrors clinical and electrical features, allowing faster EZ identification and streamlined presurgical evaluation.
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