Construction of a novel Chinese normal brain database using 18F-FDG PET images and MIMneuro software, the initial application in epilepsy. (4th May 2019)

• Record Type: Journal Article
• Authors: Wei, Longxiao; Guo, Kun; Li, Yunbo; Guo, Zhirui; Gao, Chengcheng; Yuan, Menghui; Zhang, Ming
• Is Part Of: International journal of neuroscience. Volume 129:Number 5(2019)
• Page Start: 417
• Page End: 422
• Publication Date: 2019-05-04
• Subjects: 18F-FDG -- PET -- brain -- database; Nervous system -- Periodicals; 612.805
• DOI: 10.1080/00207454.2018.1538138
• Languages: English
• ISSNs: 0020-7454

Abstract

Abstract: Purpose: To create a standard Western Chinese normal functional brain database for quantitative analysis using 2-deoxy-2-[18F] fluoro-d -glucose ( 18 F-FDG) positron emission tomography (PET) images and MIMneuro software. Methods: 78 healthy right-handed Chinese volunteers from Tangdu Hospital were scanned using 18 F-FDG PET to evaluate brain metabolism between March and October 2016. All PET images were processed using MIMneuro software to create a normal database platform. The platform included anatomical optimization to facilitate spatial localization of abnormalities and a statistical comparison with normal cases utilizing the Z -scores, which represent the number of standard deviations from the mean of the normal controls in the database. Results: The novel Chinese brain metabolism database platform including 78 healthy volunteers (male: female 40:38; age 3–78 years, mean age, 45 years) was constructed based on the MIMneuro software, which increased the diagnostic confidence in the test patient by quantifying and emphasizing the abnormality. The BrainAlign TM deformation algorithm of MIMneuro matched the size, shape, and orientation of the patient's brain scan to a template brain for comparison against a database of normal controls. The quantitative analysis performed on a voxel and regional level was useful in assessing the areas of abnormalities. Conclusions: A novel Chinese 18 F-FDG PET-based normal brain function database was created to highlight the local regions of abnormal metabolic activity through quantitative comparisons against the normal database. The Z -scores obtained by MIMneuro potentially aid in visualizing and quantifying the subtle lesions on 18 FDG-PET scan images as observed in a patient diagnosed with epilepsy.