Global temporal lobe asymmetry as a semi-quantitative imaging biomarker for temporal lobe epilepsy lateralization: A machine learning classification study.

Journal: Hellenic journal of nuclear medicine

PMID: 30006642

Abstract

OBJECTIVE: The purpose of this study was to evaluate the utility of global semi-quantitative analysis via fluorine-18-flurodeoxyglucose positron emission tomography (F-FDG PET) at lateralizing seizure foci and diagnosing patients with unilateral temporal lobe epilepsy (TLE).

Authors

Jonah Peter

Department of Radiology, Division of Nuclear Medicine, Hospital of the University of Pennsylvania, USA. abass.alavi@uphs.upenn.edu.
Mohsen Khosravi
Thomas J Werner
Abass Alavi

Keywords

Epilepsy, Temporal Lobe Fluorodeoxyglucose F18 Humans Image Processing, Computer-Assisted Machine Learning Positron-Emission Tomography Reproducibility of Results Temporal Lobe

External Resources

View on PubMed Access via DOI PubMed (30006642)

Global temporal lobe asymmetry as a semi-quantitative imaging biomarker for temporal lobe epilepsy lateralization: A machine learning classification study.

Abstract

Authors

Keywords

External Resources

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