Literature DB >> 33544336

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

Maarten Haemels1, Donatienne Van Weehaeghe2,3, Evy Cleeren4, Patrick Dupont5, Johan van Loon6,7, Tom Theys6,7, Koen Van Laere2,3, Wim Van Paesschen4,8, Karolien Goffin2,3.   

Abstract

The value of functional molecular changes outside the seizure onset zone as independent predictive factors of surgical outcome has been scarcely evaluated. The aim of this retrospective study was to evaluate relative metabolic and perfusion changes outside the seizure onset zone as predictors of postoperative outcome in patients with unifocal refractory focal epilepsy. Eighty-six unifocal epilepsy patients who underwent 18F-FDG PET prior to surgery were included. Ictal and interictal perfusion SPECT was available in 65 patients. Good postoperative outcome was defined as the International League against Epilepsy class 1. Using univariate statistical analysis, the predictive ability of volume-of-interest based relative metabolism/perfusion for outcome classification was quantified by AUC ROC-curve, using composite, unilateral cortical (frontal, orbitofrontal, temporal, parietal, occipital) and central volumes-of-interest. The results were cross-validated, and a false discovery rate (FDR) correction was applied. As a secondary objective, a subgroup analysis was performed on temporal lobe epilepsy patients (N = 64). Increased relative ictal perfusion in the contralateral central volume-of-interest was significantly associated with the good surgical outcome both in the total population (AUC 0.79, pFDR = 0.009) and the temporal lobe epilepsy subgroup (AUC 0.80, pFDR = 0.028). No other significant associations between functional molecular changes and postoperative outcome were found. Increased relative ictal perfusion in the contralateral central region significantly predicted outcome after epilepsy surgery in patients with refractory focal epilepsy. We postulate that these relative perfusion changes could be an expression of better preoperative neuronal network integration and centralization in the contralateral central structures, which is suggested to be associated with better postoperative outcome.
© 2021. Belgian Neurological Society.

Entities:  

Keywords:  Epilepsy surgery; FDG PET; Perfusion SPECT; Postoperative outcome; Refractory focal epilepsy

Mesh:

Year:  2021        PMID: 33544336     DOI: 10.1007/s13760-020-01569-y

Source DB:  PubMed          Journal:  Acta Neurol Belg        ISSN: 0300-9009            Impact factor:   2.396


  57 in total

1.  Outcome after epilepsy surgery at the University Hospitals Leuven 1998-2012.

Authors:  Lynn Vermeulen; Johannes van Loon; Tom Theys; Jan Goffin; Kathleen Porke; Koen Van Laere; Karolien Goffin; Mathieu Vandenbulcke; Vincent Thijs; Wim Van Paesschen
Journal:  Acta Neurol Belg       Date:  2016-02-05       Impact factor: 2.396

2.  Network-targeted approach and postoperative resting-state functional magnetic resonance imaging are associated with seizure outcome.

Authors:  Varina L Boerwinkle; Emilio G Cediel; Lucia Mirea; Korwyn Williams; John F Kerrigan; Sandi Lam; Jeffrey S Raskin; Virendra R Desai; Angus A Wilfong; P David Adelson; Daniel J Curry
Journal:  Ann Neurol       Date:  2019-07-11       Impact factor: 10.422

3.  Operational classification of seizure types by the International League Against Epilepsy: Position Paper of the ILAE Commission for Classification and Terminology.

Authors:  Robert S Fisher; J Helen Cross; Jacqueline A French; Norimichi Higurashi; Edouard Hirsch; Floor E Jansen; Lieven Lagae; Solomon L Moshé; Jukka Peltola; Eliane Roulet Perez; Ingrid E Scheffer; Sameer M Zuberi
Journal:  Epilepsia       Date:  2017-03-08       Impact factor: 5.864

4.  The epidemiology of epilepsy: the size of the problem.

Authors:  G S Bell; J W Sander
Journal:  Seizure       Date:  2001-06       Impact factor: 3.184

5.  Early identification of refractory epilepsy.

Authors:  P Kwan; M J Brodie
Journal:  N Engl J Med       Date:  2000-02-03       Impact factor: 91.245

6.  Virtual resection predicts surgical outcome for drug-resistant epilepsy.

Authors:  Lohith G Kini; John M Bernabei; Fadi Mikhail; Peter Hadar; Preya Shah; Ankit N Khambhati; Kelly Oechsel; Ryan Archer; Jacqueline Boccanfuso; Erin Conrad; Russell T Shinohara; Joel M Stein; Sandhitsu Das; Ammar Kheder; Timothy H Lucas; Kathryn A Davis; Danielle S Bassett; Brian Litt
Journal:  Brain       Date:  2019-12-01       Impact factor: 13.501

7.  Metabolic patterns and seizure outcomes following anterior temporal lobectomy.

Authors:  Varduhi Cahill; Benjamin Sinclair; Charles B Malpas; Anne M McIntosh; Zhibin Chen; Lucy E Vivash; Marie F O'Shea; Sarah J Wilson; Patricia M Desmond; Salvatore U Berlangieri; Rodney J Hicks; Christopher C Rowe; Andrew P Morokoff; James A King; Gavin C Fabinyi; Andrew H Kaye; Patrick Kwan; Samuel F Berkovic; Terence J O'Brien
Journal:  Ann Neurol       Date:  2019-01-17       Impact factor: 10.422

Review 8.  Surgical treatment for epilepsy.

Authors:  Gregory D Cascino
Journal:  Epilepsy Res       Date:  2004 Jul-Aug       Impact factor: 3.045

9.  The network integration of epileptic activity in relation to surgical outcome.

Authors:  M Carboni; M Rubega; G R Iannotti; P De Stefano; G Toscano; S Tourbier; F Pittau; P Hagmann; S Momjian; K Schaller; M Seeck; C M Michel; P van Mierlo; S Vulliemoz
Journal:  Clin Neurophysiol       Date:  2019-10-14       Impact factor: 3.708

10.  Quantification and Selection of Ictogenic Zones in Epilepsy Surgery.

Authors:  Petroula Laiou; Eleftherios Avramidis; Marinho A Lopes; Eugenio Abela; Michael Müller; Ozgur E Akman; Mark P Richardson; Christian Rummel; Kaspar Schindler; Marc Goodfellow
Journal:  Front Neurol       Date:  2019-10-01       Impact factor: 4.003

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