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Focal hypermetabolism in suspected non-convulsive status epilepticus
Jeroen Gijs1,2, Annelies Geebels3, Greet Vanderlinden4
1Department of Neurosciences, Experimental Neurology, Laboratory for Epilepsy Research, Leuven Brain Institute, KU Leuven, Leuven, Belgium.
¹⁸F-fluorodeoxyglucose positron emission tomography (FDG-PET) effectively identifies focal hypermetabolism in suspected non-convulsive status epilepticus (NCSE). This imaging biomarker shows high concordance with EEG findings, aiding diagnosis even with unclear patterns.
Area of Science:
- Neuroimaging
- Nuclear Medicine
- Epileptology
Background:
- Non-convulsive status epilepticus (NCSE) diagnosis can be challenging, often requiring advanced neuroimaging.
- ¹⁸F-fluorodeoxyglucose positron emission tomography (FDG-PET) offers metabolic insights into brain activity.
- Establishing FDG-PET as a reliable biomarker for NCSE is crucial for clinical management.
Purpose of the Study:
- To evaluate FDG-PET as a biomarker for suspected NCSE.
- To characterize electroclinical-metabolic correlations in NCSE patients.
- To quantify focal hypermetabolism detected by FDG-PET.
Main Methods:
- Adult patients with rhythmic and periodic patterns undergoing FDG-PET for suspected NCSE were included.
- Electroencephalography (EEG) and FDG-PET images were analyzed for focal hypermetabolism and correlated with EEG findings.
- A novel SUV z-score method was developed and compared against traditional SUVR methods for hypermetabolism detection.
Main Results:
- FDG-PET revealed focal hypermetabolism in 92% of suspected NCSE cases, showing strong concordance with EEG lateralization.
- The developed SUV z-score technique demonstrated superior performance (AUC=0.92) compared to SUVR methods (AUC=0.55-0.64).
- In patients with lateralized periodic discharges (LPDs), hypermetabolic volumes varied significantly across different discharge frequencies.
Conclusions:
- FDG-PET is a valuable biomarker for detecting focal hypermetabolism in suspected NCSE, even with equivocal EEG patterns.
- The quantitative SUV z-score approach enhances the accuracy of FDG-PET in identifying metabolic abnormalities in NCSE.
- The extent of hypermetabolism in LPDs is variable, suggesting complex underlying pathophysiology.
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