Novel assessment of global metabolism by 18F-FDG-PET for localizing affected lobe in temporal lobe epilepsy.

Nucl Med Commun

aDepartment of Radiology, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA bDepartment of Nuclear Medicine, PET/CT Centre, Radiology, Interventional Radiology NeuroRadiology, Medical Physics, Clinical Laboratory, Biomarkers Laboratory, Pathology, Microbiology, 'Santa Maria dellaMisericordia' Hospital, Rovigo, Italy.

Published: August 2016

The aim of this study was to develop a novel method of global quantitative analysis for use in the diagnosis and treatment evaluation of temporal lobe epilepsy (TLE). We studied 16 patients diagnosed with TLE who underwent fluorine-18 fluorodeoxyglucose-PET (F-FDG-PET) and MRI at the Hospital of the University of Pennsylvania. To quantify temporal lobe hypometabolism, we averaged the mean standardized uptake value across regions of interest (ROIs) encompassing each lobe in its entirety and calculated the metabolic ratios and lateralization indices for each patient on the basis of global measurements. For comparison, we carried out a traditional 'punch biopsy' ROI analysis by averaging the mean standardized uptake value within 1 cm diameter ROIs across select slices. Both techniques were performed twice by the same rater to test intraobserver variability. An expert observer carried out visual analyses of both F-FDG-PET and MRI for reference. The global quantitative analysis identified a seizure focus lateralization in agreement with clinical evaluations for 91% of patients on both trials, with intraclass correlation coefficients of 0.97 and 0.92 for metabolic ratios and lateralization indices, respectively. The punch biopsy analysis was in agreement for 91 and 82% of patients on respective trials, with intraclass correlation coefficients of 0.90 and 0.75. Expert visual analyses carried out on F-FDG-PET and MRI were in agreement for 64 and 9% of patients, respectively. The global quantitative analysis proved to be the most accurate and reliable of the methods tested. This technique has the potential to improve metabolic analysis in TLE and other neuropsychiatric disorders.

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http://dx.doi.org/10.1097/MNM.0000000000000526DOI Listing

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