Use of an Automated Quantitative Analysis of Hippocampal Volume, Signal, and Glucose Metabolism to Detect Hippocampal Sclerosis.

摘要: Purpose: Magnetic resonance imaging (MRI) and positron emission tomography (PET) with 18F-fluorodeoxyglucose (18FDG) are valuable tools for evaluating hippocampal sclerosis (HS); however, bias may arise during visual analyses. The aim of this study was to evaluate compare MRI PET post-processing techniques, automated quantitative volume (Q-volume), fluid-attenuated inversion-recovery (FLAIR) signal (Q-FLAIR) glucose metabolism (Q-PET) analyses in patients HS. Methods: We collected 18FDG-PET images from 54 HS 22 healthy controls independently performed conventional (CVA) (CVA-PET) (CVA-MRI) images. During the subsequent analyses, hippocampus segmented 3D T1 image, mean volumetric, FLAIR intensity standardized uptake value ratio (SUVR) values left right were assessed each subject. Threshold confidence levels calculated SUVR used identify subjects or performance three methods using receiver operating characteristic (ROC) curves, detection rates CVA-MRI, CVA-PET, Q-volume, Q-FLAIR, Q-PET statistically compared. Results: areas under curves (AUCs) ROC 0.88, 0.41, 0.98, which suggested a diagnostic method moderate, poor, high accuracy, respectively. Although had highest rate among two CVA methods, difference between Q-volume did not reach statistical significance. Regarding subtypes, similar type 1 HS, most sensitive detecting types 2 3 Conclusions: In that have been visually by experts, quantification can increase appear be additional epilepsy who suspected having