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Front Neurosci. 2019 Jan 9;12:993. doi: 10.3389/fnins.2018.00993. eCollection 2018.

The Evaluation of Dynamic FDG-PET for Detecting Epileptic Foci and Analyzing Reduced Glucose Phosphorylation in Refractory Epilepsy.

Author information

1
Department of PET Center, Xiangya Hospital Central South University, Changsha, China.
2
Molecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, United States.
3
Department of Blood Transfusion, Xiangya Hospital Central South University, Changsha, China.
4
National Clinical Research Center for Geriatric Diseases, Xiangya Hospital Central South University, Changsha, China.

Abstract

Aims: Static fluorodeoxyglucose (FDG)-positron emission tomographic (PET) imaging plays an important role in the localization of epileptic foci. Dynamic FDG PET allows calculation of kinetic parameters. The aim of this study was to investigate whether kinetic parameters have potential for identifying epileptic foci, and to assess the correlation of parameters asymmetry indexes (ASYM) between dynamic and static FDG PET for understanding the pathophysiology of hypometabolism within intractable epilepsy. Methods: Seventeen patients who had refractory epilepsy correctly localized by static FDG PET with good outcome after foci resection were included. Eight controls were also studied. We performed dynamic and static FDG PET scan before operation. Images of both scans were coregistered to the montreal neurological institute space, regional time activity curves and activity concentration (AC) were obtained by applying the automated anatomical labeling template to the two spatially normalized images, respectively. Kinetic parameters were obtained using a two-tissue non-reversible compartmental model with an image-derived input function. AC from the static scan was used. Side-to-side ASYM of both static AC and kinetic parameters were calculated and analyzed in the hypometabolic epileptogenic regions and non-epileptogenic regions. Results: Higher values of ASYM from both kinetic parameters and static AC were found in the patients compared to the controls from epileptogenic regions. In the non-epileptogenic regions, no ASYM differences were seen between patients and controls for all parameters. In patients, static AC showed larger ASYM than influx (K 1) and efflux (k 2) of capillaries, but there were no statistical differences of ASYM between net metabolic flux (K i) or the phosphorylation (k 3) and static AC. ASYM of static AC positively correlated with ASYM of k 3. Conclusion: Dynamic FDG PET can provide equally effective in detecting the epileptic foci compared to static FDG PET in this small cohort. In addition, compared to capillary influx, the hypometabolism of epileptic foci may be related to reduced glucose phosphorylation.

KEYWORDS:

PET imaging; dynamic imaging; epilepsy; glucose phosphorylation; kinetic modeling

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