Evaluation of brain FDG PET images in temporal lobe epilepsy for lateralization of epileptogenic focus using data mining methods
Ümit Özgür AkdemirIrem ÇaprazSeda Gülbahar AteşKerim ŞekerUguray AydosGökhan KurtNeşe KarabacakLutfiye Ozlem AtayErhan BilirPublished in: Turkish journal of medical sciences (2020)
Lateralization of the epileptogenic temporal lobe with data mining methods using regional metabolic asymmetry values obtained from interictal brain FDG PET images in mesial TLE patients is highly accurate. The application of data mining can contribute to the reader in the process of visual evaluation of FDG PET images of the brain.
Keyphrases
- pet ct
- positron emission tomography
- pet imaging
- temporal lobe epilepsy
- computed tomography
- deep learning
- resting state
- electronic health record
- white matter
- convolutional neural network
- optical coherence tomography
- big data
- end stage renal disease
- functional connectivity
- newly diagnosed
- ejection fraction
- cerebral ischemia
- prognostic factors
- multiple sclerosis
- data analysis
- patient reported outcomes
- blood brain barrier