BACKGROUND: Recent studies suggest that positron emission tomography may be a reliable predictive indicator of clinical outcome following surgical treatment for epilepsy. OBJECTIVE: We evaluated 30 patients with documented medial temporal lobe epilepsy to determine if prediction of postoperative outcome is improved with the use of positron emission tomography with (18)fluorodeoxyglucose. PATIENTS AND METHODS: We performed a discriminant analysis to determine the combination of metabolic asymmetry indexes in temporal and extratemporal regions defined by magnetic resonance imaging that best predicted the postoperative outcome. Seizure outcome was assessed at least 2 years after surgery: patients were classified as seizure free (n = 14, group A), mostly improved (n = 10, group B), or as having persistent seizures (n = 6, group C). RESULTS: Discriminant analysis was first performed in groups A and C. The temporal pole seemed to be the only temporal region for which metabolism was a significant predictor of the postoperative outcome (F(1,18) = 10.19; P =.005). The predictive value of positron emission tomography with (18)fluorodeoxyglucose was considerably improved by the multivariate analysis (F(4,15) = 7.21; P =.002), which correctly predicted the 2 -year prognosis in 100% of the patients using 4 regions: the temporal pole, the medial temporal region, the anterior part of the lateral temporal neocortex, and the basofrontal region. As a validation, we performed this 4-region analysis in the patients in group B. The difference among the 3 groups was highly significant (F = 15.5, P<.001). CONCLUSION: These findings suggest that the interictal metabolic pattern reliably predicts the 2-year prognosis after surgery in patients with medial temporal lobe epilepsy.
BACKGROUND: Recent studies suggest that positron emission tomography may be a reliable predictive indicator of clinical outcome following surgical treatment for epilepsy. OBJECTIVE: We evaluated 30 patients with documented medial temporal lobe epilepsy to determine if prediction of postoperative outcome is improved with the use of positron emission tomography with (18)fluorodeoxyglucose. PATIENTS AND METHODS: We performed a discriminant analysis to determine the combination of metabolic asymmetry indexes in temporal and extratemporal regions defined by magnetic resonance imaging that best predicted the postoperative outcome. Seizure outcome was assessed at least 2 years after surgery: patients were classified as seizure free (n = 14, group A), mostly improved (n = 10, group B), or as having persistent seizures (n = 6, group C). RESULTS: Discriminant analysis was first performed in groups A and C. The temporal pole seemed to be the only temporal region for which metabolism was a significant predictor of the postoperative outcome (F(1,18) = 10.19; P =.005). The predictive value of positron emission tomography with (18)fluorodeoxyglucose was considerably improved by the multivariate analysis (F(4,15) = 7.21; P =.002), which correctly predicted the 2 -year prognosis in 100% of the patients using 4 regions: the temporal pole, the medial temporal region, the anterior part of the lateral temporal neocortex, and the basofrontal region. As a validation, we performed this 4-region analysis in the patients in group B. The difference among the 3 groups was highly significant (F = 15.5, P<.001). CONCLUSION: These findings suggest that the interictal metabolic pattern reliably predicts the 2-year prognosis after surgery in patients with medial temporal lobe epilepsy.
Authors: Suzanne G Mueller; Kenneth D Laxer; Nathan Cashdollar; Derek L Flenniken; Gerald B Matson; Michael W Weiner Journal: Epilepsia Date: 2004-04 Impact factor: 5.864
Authors: Eric Guedj; Andrea Varrone; Ronald Boellaard; Nathalie L Albert; Henryk Barthel; Bart van Berckel; Matthias Brendel; Diego Cecchin; Ozgul Ekmekcioglu; Valentina Garibotto; Adriaan A Lammertsma; Ian Law; Iván Peñuelas; Franck Semah; Tatjana Traub-Weidinger; Elsmarieke van de Giessen; Donatienne Van Weehaeghe; Silvia Morbelli Journal: Eur J Nucl Med Mol Imaging Date: 2021-12-09 Impact factor: 10.057
Authors: Thomas Vanicek; Andreas Hahn; Tatjana Traub-Weidinger; Eva Hilger; Marie Spies; Wolfgang Wadsak; Rupert Lanzenberger; Ekaterina Pataraia; Susanne Asenbaum-Nan Journal: Sci Rep Date: 2016-06-28 Impact factor: 4.379
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