The Role of FDG‐PET in Patients with Epilepsy Related to Periventricular Nodular Heterotopias: Diagnostic Features and Long‐Term Outcome

• Published in: Journal of neuroimaging 2019-07, Vol.29 (4), p.512-520
• Main Authors: Popescu, Cristina Elena, Mai, Roberto, Sara, Roberto, Lizio, Domenico, Zanni, Daniela, Rossetti, Claudio, Caobelli, Federico
• Format: Article
• Language: English
• Subjects: Brain; Computed tomography; Convulsions & seizures; Cortex; Diagnostic systems; EEG; Epilepsy; FDG PET/CT; Fluorine isotopes; Magnetic resonance imaging; Metabolism; Neuroimaging; NMR; Nodules; Nuclear magnetic resonance; Periventricular nodular heterotopias; Positron emission; Positron emission tomography; postsurgical long‐term outcome; prognostic value; Seizures; Tomography
• ISSN: 1051-2284; 1552-6569
• DOI: 10.1111/jon.12620

ABSTRACT BACKGROUND AND PURPOSE Periventricular nodular heterotopias (PNHs) are frequently associated with drug‐resistant epilepsy (DRE). Although magnetic resonance imaging (MRI) can define the morphological features of PNHs, still there is a need to assess their metabolic activity in order to provide useful information on epileptogenicity and long‐term outcome. To that end, we investigated the ability of 18F‐FDG PET to identify seizure onset zone in order to assess the metabolic activity of the ectopic neurons and to provide prognostic information on the postsurgical outcome. METHODS Sixteen patients (6 men and 10 women; ranging between 24 and 53 years of age) with PNHs‐related DRE were evaluated. All patients underwent clinical evaluation, Stereo‐electroencephalogram (SEEG), brain MRI, and 18F‐FDG brain PET/CT. PET images were superimposed on the patient‐specific 3‐dimensional‐brain MRI. The metabolic activity of each nodule and of their cortex was visually and semiquantitatively assessed. The outcome after intervention was assessed in all patients using Engel classification. RESULTS Thirty‐one heterotopic sites were identified. Twenty‐one of 23 nodules with detectable electric activity on SEEG were identified by PET (91.3%), while 5 of 8 of nodules without electric activity showed no metabolism on PET (62.5%). Overall, the concordance between SEEG and FDG‐PET was 26/31 (83.9%). Furthermore, cortical metabolic alterations were depicted, correlating with epileptogenic areas. A favorable postsurgical outcome was reported in 13 patients (81.3%). The presence of a hypometabolic nodule significantly correlated with a worse outcome after surgical therapy (P = .036). CONCLUSIONS In PNHs‐related epilepsy, FDG‐PET more accurately identifies epileptogenic foci, which aids surgical planning and in postoperative seizure control.