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SISCOS in focal cortical dysplasia: localization and comparative analysis with MRI.
Dikhra Khan1, Sambit Sagar1, Jasim Jaleel1
1Department of Nuclear Medicine, PET/CT, All India Institute of Medical Sciences, New Delhi, 110029, India.
Subtraction ictal-interictal SPECT coregistered to SPECT (SISCOS) effectively localizes the epileptogenic zone in focal cortical dysplasia, comparable to MRI. Combining both methods improves detection, especially in MRI-discordant cases, aiding surgical decisions for drug-resistant epilepsy.
Area of Science:
- Neuroimaging
- Epilepsy Surgery
- Nuclear Medicine
Background:
- Focal cortical dysplasia (FCD) is a leading cause of drug-resistant epilepsy (DRE).
- Accurate localization of the epileptogenic zone (EZ) is crucial for successful epilepsy surgery.
- Magnetic Resonance Imaging (MRI) is a primary tool, but its sensitivity can be limited in detecting FCD.
Purpose of the Study:
- To evaluate the efficacy of Subtraction ictal-interictal SPECT coregistered to SPECT (SISCOS) in localizing the EZ in FCD.
- To compare SISCOS performance with MRI in predicting post-surgical outcomes.
- To assess the added value of SISCOS in cases with discordant MRI findings.
Main Methods:
- 84 patients with DRE and FCD underwent SISCOS and MRI for EZ localization.
- Ictal and interictal SPECT scans used Tc-99m ECD, analyzed with SPM2 and Bioimage Suite.
- Localization concordance was compared to surgical resection, and outcomes assessed using the International League Against Epilepsy (ILAE) classification.
Main Results:
- SISCOS showed 73.8% concordance for EZ localization, while MRI had 82.1%.
- Overall, 61.9% of patients achieved good surgical outcomes, with 59% having FCD type 2.
- In MRI-discordant cases (15 patients), SISCOS localized the EZ in 86%, leading to good outcomes in 69.2%.
Conclusions:
- SISCOS is effective for EZ localization in FCD, with performance comparable to MRI.
- Integrating SISCOS with MRI improves lesion detection, particularly in MRI-discordant cases.
- A combined diagnostic approach optimizes pre-surgical assessment for DRE, guiding surgical decisions effectively.
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