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Study of the Influence of Age in 18F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer’s Disease
Joint Authors
Shi, Kuangyu
Zhou, Hucheng
Jiang, Jiehui
Zuo, Chuantao
Sun, Yiwu
Li, Shaoping
Huang, Zhemin
Wu, Ping
Neuroimaging Initiative, Alzheimer’s Disease
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-02-08
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
Objectives.
18F-FDG PET scan is one of the most frequently used neural imaging scans.
However, the influence of age has proven to be the greatest interfering factor for many clinical dementia diagnoses when analyzing 18F-FDG PET images, since radiologists encounter difficulties when deciding whether the abnormalities in specific regions correlate with normal aging, disease, or both.
In the present paper, the authors aimed to define specific brain regions and determine an age-correction mathematical model.
Methods.
A data-driven approach was used based on 255 healthy subjects.
Results.
The inferior frontal gyrus, the left medial part and the left medial orbital part of superior frontal gyrus, the right insula, the left anterior cingulate, the left median cingulate, and paracingulate gyri, and bilateral superior temporal gyri were found to have a strong negative correlation with age.
For evaluation, an age-correction model was applied to 262 healthy subjects and 50 AD subjects selected from the ADNI database, and partial correlations between SUVR mean and three clinical results were carried out before and after age correction.
Conclusion.
All correlation coefficients were significantly improved after the age correction.
The proposed model was effective in the age correction of both healthy and AD subjects.
American Psychological Association (APA)
Jiang, Jiehui& Sun, Yiwu& Zhou, Hucheng& Li, Shaoping& Huang, Zhemin& Wu, Ping…[et al.]. 2018. Study of the Influence of Age in 18F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer’s Disease. Contrast Media & Molecular Imaging،Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1131374
Modern Language Association (MLA)
Jiang, Jiehui…[et al.]. Study of the Influence of Age in 18F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer’s Disease. Contrast Media & Molecular Imaging No. 2018 (2018), pp.1-16.
https://search.emarefa.net/detail/BIM-1131374
American Medical Association (AMA)
Jiang, Jiehui& Sun, Yiwu& Zhou, Hucheng& Li, Shaoping& Huang, Zhemin& Wu, Ping…[et al.]. Study of the Influence of Age in 18F-FDG PET Images Using a Data-Driven Approach and Its Evaluation in Alzheimer’s Disease. Contrast Media & Molecular Imaging. 2018. Vol. 2018, no. 2018, pp.1-16.
https://search.emarefa.net/detail/BIM-1131374
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1131374