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Published on: October 2, 2014
Quantitative SISCOM assessment for epileptogenic zone localization: insights from a multicenter study comparing two
Carla Oliveira Young1, Brunno Machado de Campos2, Edna Marina de Souza3
1Division of Nuclear Medicine, Department of Radiology and Oncology, University of Campinas (UNICAMP), Campinas, Brazil.
Statistical Parametric Mapping (SPM) offers a cost-effective approach for localizing the epileptogenic zone (EZ) in epilepsy surgery, showing similar sensitivity to commercial software but with a more practical workflow.
Area of Science:
- Medical Imaging
- Neurology
- Epilepsy Surgery
Background:
- Pharmacoresistant epilepsy affects one-third of epilepsy patients, necessitating accurate localization of the epileptogenic zone (EZ) for surgical planning.
- Functional imaging, like SPECT ictal-interictal subtraction coregistered to MRI (SISCOM), aids EZ localization but is limited by cost and complexity.
- Statistical Parametric Mapping (SPM) presents a potential cost-effective alternative for SISCOM analysis.
Purpose of the Study:
- To evaluate the efficacy of Statistical Parametric Mapping (SPM) for epileptogenic zone (EZ) localization using SISCOM in pharmacoresistant temporal lobe epilepsy.
- To compare the performance of SPM-based SISCOM with a proprietary software (Analyze) against a reference standard.
Main Methods:
- Retrospective study of 20 pharmacoresistant temporal lobe epilepsy patients who underwent pre-surgical SPECT imaging and had favorable surgical outcomes.
- SISCOM analysis performed using both SPM and Analyze software.
- Comparison of EZ localization results from both methods against anatomopathological findings and clinical outcomes.
Main Results:
- Both SPM and Analyze achieved 70% concordance with the EZ reference standard, showing no significant difference in sensitivity.
- SPM generated smaller, more localized clusters compared to the broader clusters from Analyze.
- Poor concordance (Kappa = 0.0179) was observed between the SPM and Analyze methods, indicating distinct methodological outputs.
Conclusions:
- SISCOM analysis using SPM demonstrates comparable sensitivity to proprietary software for EZ localization in epilepsy surgery.
- SPM-based SISCOM offers a practical, accessible, and cost-effective alternative for pre-surgical planning due to its rapid, semi-automated workflow.
- Further research with larger cohorts is recommended to validate these findings.
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