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

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收录情况： ◇ SCIE

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机构： [1]Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [2]Department of Pathology, Beijing Fengtai Hospital, Beijing, China, [3]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [4]Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [5]Department of Neurosurgery, Beijing Fengtai Hospital, Beijing, China, [6]Nuclear Medicine, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [7]Department of Neurosurgery, Hainan General Hospital, Haikou, China

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关键词： mesial temporal lobe epilepsy hippocampal sclerosis MRI (18)FDG-PET quantitative analysis

摘要：

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

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出版当年[2017]版：

大类 | 2 区医学

小类 | 3 区临床神经病学 3 区神经科学

最新[2023]版：

大类 | 3 区医学

小类 | 3 区临床神经病学 3 区神经科学

JCR分区：

出版当年[2016]版：

Q2 CLINICAL NEUROLOGY Q2 NEUROSCIENCES

最新[2023]版：

Q2 CLINICAL NEUROLOGY Q3 NEUROSCIENCES

影响因子： 2.7 最新[2023版] 3.3 最新五年平均 3.552 出版当年[2016版] 0 出版当年五年平均 3.184 出版前一年[2015版] 3.508 出版后一年[2017版]

第一作者：

第一作者机构： [1]Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,

通讯作者：

通讯机构： [1]Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, China, [3]Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China,

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

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