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Author Spotlight: Advancing Pediatric Epilepsy Surgery in Children Through Novel Biomarkers and Enhanced Localization
Published on: September 20, 2024
Ictal-interictal SPECT analysis using SPM and multimodal prediction of epilepsy surgery outcome
Sheida Manoochehri1, Abbas Thafakhori2, Sara Ranji2
1Research Center for Nuclear Medicine, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Background:
Presurgical evaluation of drug-resistant focal epilepsy relies on multiple noninvasive tests, but their relative contributions to epileptogenic zone (EZ) localization and surgical prognosis remain uncertain, particularly in MRI-negative or otherwise challenging cases. Ictal-interictal SPECT analysis using SPM (ISAS) may improve localization, yet its role within a structured multimodal framework is not well defined.
Methods:
We conducted a single-center retrospective cohort study of 25 patients with drug-resistant focal epilepsy who underwent comprehensive presurgical evaluation and ablation surgery with 2-year follow-up. All patients had seizure semiology, MRI, interictal and ictal scalp EEG, 99mTc-ECD interictal and ictal SPECT, and ISAS. Concordance was assessed against the predicted EZ (multimodal ± invasive EEG), while sensitivity, specificity, PPV, and NPV were calculated against the outcome-defined EZ (Engel I-II at 2 years). A logistic regression model combined MRI, interictal EEG, ictal EEG, and ISAS concordance into a weighted multimodal score predicting surgical success.
Results:
Eighteen of 25 patients (72%) achieved Engel I-II outcomes. Sensitivity/specificity were 33%/57% for semiology, 16%/85% for MRI, 61%/71% for interictal EEG, 72%/57% for ictal EEG, 12%/100% for interictal SPECT, 55%/100% for ictal SPECT, and 81%/100% for ISAS, which also showed the highest NPV (70%). In the favorable-outcome group, ISAShad the highest EZ concordance, while all surgical failures had multifocal or nonlocalizable ISASpatterns. Using a multivariate logistic regression model, the derived prognostic scores demonstrated the highest predictive weight (regression coefficient) for ISAS concordance, intermediate weights for MRI and ictal EEG, and a minor weight for interictal EEG, yielding individualized probabilities of Engel I-II outcome.
Conclusions:
Quantitatively processed SPECT, interpreted with a structured algorithm, provided the strongest diagnostic and prognostic information among noninvasive modalities. The epilepsy surgery outcome model offers a transparent, reproducible tool for data-driven presurgical decision-making. Importantly, because SPECT is typically reserved for complex cases, this cohort is not representative of presurgical epilepsy cohorts in general.
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