Literature DB >> 30609109

Metabolic patterns and seizure outcomes following anterior temporal lobectomy.

Varduhi Cahill1,2,3, Benjamin Sinclair4,5, Charles B Malpas1,5,6,7, Anne M McIntosh1,5,8, Zhibin Chen1,5, Lucy E Vivash1,5, Marie F O'Shea9, Sarah J Wilson7,9, Patricia M Desmond4, Salvatore U Berlangieri9, Rodney J Hicks10, Christopher C Rowe8,11, Andrew P Morokoff12, James A King12, Gavin C Fabinyi13, Andrew H Kaye12, Patrick Kwan1,5, Samuel F Berkovic8,9, Terence J O'Brien1,5.   

Abstract

OBJECTIVE: We investigated the relationship between the interictal metabolic patterns, the extent of resection of 18 F-fluorodeoxyglucose positron emission tomography (18 FDG-PET) hypometabolism, and seizure outcomes in patients with unilateral drug-resistant mesial temporal lobe epilepsy (MTLE) following anterior temporal lobe (TL) resection.
METHODS: Eighty-two patients with hippocampal sclerosis or normal magnetic resonance imaging (MRI) findings, concordant 18 FDG-PET hypometabolism, and at least 2 years of postoperative follow-up were included in this 2-center study. The hypometabolic regions in each patient were identified with reference to 20 healthy controls (p < 0.005). The resected TL volume and the volume of resected TL PET hypometabolism (TLH) were calculated from the pre- and postoperative MRI scans coregistered with interictal 18 FDG-PET.
RESULTS: Striking differences in metabolic patterns were observed depending on the lateralization of the epileptogenic TL. The extent of the ipsilateral TLH was significantly greater in left MTLE patients (p < 0.001), whereas right MTLE patients had significantly higher rates of contralateral (CTL) TLH (p = 0.016). In right MTLE patients, CTL hypometabolism was the strongest predictor of an unfavorable seizure outcome, associated with a 5-fold increase in the likelihood of seizure recurrence (odds ratio [OR] = 4.90, 95% confidence interval [CI] = 1.07-22.39, p = 0.04). In left MTLE patients, greater extent of resection of ipsilateral TLH was associated with lower rates of seizure recurrence (p = 0.004) in univariate analysis; however, its predictive value did not reach statistical significance (OR = 0.96, 95% CI = 0.90-1.02, p = 0.19).
INTERPRETATION: The difference in metabolic patterns depending on the lateralization of MTLE may represent distinct epileptic networks in patients with right versus left MTLE, and can guide preoperative counseling and surgical planning. Ann Neurol 2019; 1-10 ANN NEUROL 2019;85:241-250.
© 2019 American Neurological Association.

Entities:  

Year:  2019        PMID: 30609109     DOI: 10.1002/ana.25405

Source DB:  PubMed          Journal:  Ann Neurol        ISSN: 0364-5134            Impact factor:   10.422


  9 in total

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Journal:  Eur Radiol       Date:  2021-05-29       Impact factor: 5.315

2.  Individual [18F]FDG PET and functional MRI based on simultaneous PET/MRI may predict seizure recurrence after temporal lobe epilepsy surgery.

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Journal:  Eur Radiol       Date:  2022-01-13       Impact factor: 5.315

3.  [18F]FDG PET/MRI and magnetoencephalography may improve presurgical localization of temporal lobe epilepsy.

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4.  Predictive value of metabolic and perfusion changes outside the seizure onset zone for postoperative outcome in patients with refractory focal epilepsy.

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6.  Individual Brain Metabolic Connectome Indicator Based on Jensen-Shannon Divergence Similarity Estimation Predicts Seizure Outcomes of Temporal Lobe Epilepsy.

Authors:  Zehua Zhu; Zhimin Zhang; Xin Gao; Li Feng; Dengming Chen; Zhiquan Yang; Shuo Hu
Journal:  Front Cell Dev Biol       Date:  2022-01-11

7.  Functional Connectivity Alterations Based on Hypometabolic Region May Predict Clinical Prognosis of Temporal Lobe Epilepsy: A Simultaneous 18F-FDG PET/fMRI Study.

Authors:  Yi Shan; Hu-Cheng Zhou; Kun Shang; Bi-Xiao Cui; Xiao-Tong Fan; Qi Zhang; Yong-Zhi Shan; Jie-Hui Jiang; Guo-Guang Zhao; Jie Lu
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8.  Machine learning approaches for imaging-based prognostication of the outcome of surgery for mesial temporal lobe epilepsy.

Authors:  Benjamin Sinclair; Varduhi Cahill; Jarrel Seah; Andy Kitchen; Lucy E Vivash; Zhibin Chen; Charles B Malpas; Marie F O'Shea; Patricia M Desmond; Rodney J Hicks; Andrew P Morokoff; James A King; Gavin C Fabinyi; Andrew H Kaye; Patrick Kwan; Samuel F Berkovic; Meng Law; Terence J O'Brien
Journal:  Epilepsia       Date:  2022-03-25       Impact factor: 6.740

9.  Quantitative [18]FDG PET asymmetry features predict long-term seizure recurrence in refractory epilepsy.

Authors:  Lohith G Kini; Ashesh A Thaker; Peter N Hadar; Russell T Shinohara; Mesha-Gay Brown; Jacob G Dubroff; Kathryn A Davis
Journal:  Epilepsy Behav       Date:  2021-01-21       Impact factor: 2.937

  9 in total

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