Literature DB >> 16386927

Relationship between bilateral temporal hypometabolism and EEG findings for mesial temporal lobe epilepsy: analysis of 18F-FDG PET using SPM.

Mi Ae Kim1, Kyoung Heo, Min Kyung Choo, Jung Hee Cho, Soo Chul Park, Jong Doo Lee, Mijin Yun, Hae-Jeong Park, Byung In Lee.   

Abstract

PURPOSE: To investigate the clinical significance of bilateral temporal hypometabolism (BTH) for patients with mesial temporal lobe epilepsy (MTLE) by using statistical parametric mapping (SPM).
METHODS: Interictal 18F-FDG PET scans were performed for 29 patients with surgically treated MTLE. Clinical data, interictal epileptiform discharges (IEDs), ictal scalp EEG and intracarotid amobarbital test (IAT) were analyzed. To assess an 18F-FDG PET image, an SPM analysis as well as visual interpretation were applied.
RESULTS: In 9 of 29 patients, the 18F-FDG PET scan revealed BTH by the SPM analysis, while only 3 patients showed BTH by the visual assessment. When the patients were classified into the unilateral temporal hypometabolism (UTH) and BTH groups based on the SPM results, bitemporal IEDs occurred significantly more frequently in the BTH group than in the UTH group (66.7% versus 22.2%). Bilateral independent seizure onset seen on the scalp EEG and bitemporal epilepsy were present only in the BTH group. Lateralized ictal onset was present less frequently in the BTH group than in the UTH group (44.4% versus 83.3%). There was no statistically significant difference in age at onset, duration of epilepsy, generalized seizure, history of febrile convulsion and CNS infection, lateralization throughout the whole tracing, lateralization on the IAT test, and surgical outcome between the UTH and BTH groups.
CONCLUSION: Bilaterality of the EEG findings correlated with BTH on 18F-FDG PET by the SPM method. Our results suggest that analysis of 18F-FDG PET by using SPM may have a role in predicting those patients with bitemporal excitability or bitemporal independent epileptogenicity, and these patients should be monitored carefully.

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Year:  2006        PMID: 16386927     DOI: 10.1016/j.seizure.2005.11.007

Source DB:  PubMed          Journal:  Seizure        ISSN: 1059-1311            Impact factor:   3.184


  6 in total

Review 1.  Neuroimaging of epilepsy.

Authors:  Fernando Cendes; William H Theodore; Benjamin H Brinkmann; Vlastimil Sulc; Gregory D Cascino
Journal:  Handb Clin Neurol       Date:  2016

2.  Refractory seizures: Prediction of outcome of surgical intervention based on results from PET-CT, PET-MRI and electroencephaolography.

Authors:  Rashad Johnson; Grace Rizk; Harleen Kaur; Henry Ibekwe; Monica Atta; Isis Gayed
Journal:  Neuroradiol J       Date:  2019-10-22

3.  Multimodal coregistration in patients with temporal lobe epilepsy--results of different imaging modalities in lateralization of the affected hemisphere in MR imaging positive and negative subgroups.

Authors:  M T Doelken; G Richter; H Stefan; A Doerfler; A Noemayr; T Kuwert; O Ganslandt; C H Nimsky; T Hammen
Journal:  AJNR Am J Neuroradiol       Date:  2007-03       Impact factor: 3.825

4.  Machine Learning Quantitative Analysis of FDG PET Images of Medial Temporal Lobe Epilepsy Patients.

Authors:  Yen-Cheng Shih; Tse-Hao Lee; Hsiang-Yu Yu; Chien-Chen Chou; Cheng-Chia Lee; Po-Tso Lin; Syu-Jyun Peng
Journal:  Clin Nucl Med       Date:  2022-04-01       Impact factor: 7.794

5.  Optimizing statistical parametric mapping analysis of 18F-FDG PET in children.

Authors:  Frederique Archambaud; Viviane Bouilleret; Lucie Hertz-Pannier; Philippe Chaumet-Riffaud; Sebastian Rodrigo; Olivier Dulac; Francine Chassoux; Catherine Chiron
Journal:  EJNMMI Res       Date:  2013-01-04       Impact factor: 3.138

6.  Epileptogenic Zone Localization With 18FDG PET Using a New Dynamic Parametric Analysis.

Authors:  Maria Mayoral; Aida Niñerola-Baizán; Berta Marti-Fuster; Antonio Donaire; Andrés Perissinotti; Jordi Rumià; Núria Bargalló; Roser Sala-Llonch; Javier Pavia; Domènec Ros; Mar Carreño; Francesca Pons; Xavier Setoain
Journal:  Front Neurol       Date:  2019-04-17       Impact factor: 4.003

  6 in total

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