阿尔茨海默病多中心独立的、可重复的海马影像组学标志物:早期识别、纵向进展和生物学基础(英文)
发布时间:2021-05-13 10:51
脑内海马结构的形态学变化是阿尔茨海默病(AD)的影像学标记之一.海马的影像组学特征是否可以作为AD早期识别的生物标记以及是否可以预测轻度认知损害(MCI)的转化尚需进一步验证,并且海马影像组学特征是否有其神经生物学基础也需要进一步探索.本文的主要目的是研究海马的影像组学特征是否可以作为AD早期识别的影像学标记.为此,我们利用最常用的多变量分类器对AD(261例)和正常人(231例)进行独立中心识别的交叉验证, 6个中心的平均准确率为88.21%,更进一步,利用完全独立的ADNI数据集(1228例被试)也验证了这一结果.通过对MCI人群的系统研究发现,部分重要海马影像组学特征与被试的生物学评分(主要包括APOE基因型、多基因风险分数、脑脊液的生物标记物Aβ和Tau,以及认知能力的变化等)具有显著的相关性.更为重要的是,通过5年左右的纵向跟踪研究发现影像组学特征的变化与认知水平的变化具有高度一致性.本研究结果表明海马的影像组学特征有希望用于早期识别AD,具有预测MCI病人是否会转化为AD的潜在能力.综上,研究结果将有可能应用于MCI和AD的早期辅助识别,具有重要的临床意义.
【文章来源】:Science Bulletin. 2020,65(13)EISCICSCD
【文章页数】:11 页
【文章目录】:
1. Introduction
2. Materials and methods
2.1. Subjects
2.2. Hippocampal segmentation and feature extraction
2.3. Redundancy removal and statistical analysis
2.4. Classification analysis,validation and generalizability
2.5. Relationship between radiomic features and cognitive ability,APOE genetics,PGRSs,Ab,Tau,and longitudinal changes in the cognitive abilities in MCI group
2.6. Availability of data and materials
3. Results
3.1. Demographic characteristics and neuropsychological assessment of the groups
3.2. Hippocampal radiomic features differ among the AD,MCI and NC subjects
3.3. Classification performance
3.4. Radiomic features and cognitive ability,APOE genotype,Ab,Tau,and longitudinal cognitive changes in the MCI subjects
4. Discussion
5. Limitations and caveats
6. Conclusion
Conflict of interest
Author contributions
Appendix A.Supplementary materials
【参考文献】:
期刊论文
[1]ASAF: altered spontaneous activity fingerprinting in Alzheimer’s disease based on multisite fMRI[J]. Jiachen Li,Dan Jin,Ang Li,Bing Liu,Chengyuan Song,Pan Wang,Dawei Wang,Kaibin Xu,Hongwei Yang,Hongxiang Yao,Bo Zhou,Alexandre Bejanin,Gael Chetelat,Tong Han,Jie Lu,Qing Wang,Chunshui Yu,Xinqing Zhang,Yuying Zhou,Xi Zhang,Tianzi Jiang,Yong Liu,Ying Han. Science Bulletin. 2019(14)
本文编号:3183883
【文章来源】:Science Bulletin. 2020,65(13)EISCICSCD
【文章页数】:11 页
【文章目录】:
1. Introduction
2. Materials and methods
2.1. Subjects
2.2. Hippocampal segmentation and feature extraction
2.3. Redundancy removal and statistical analysis
2.4. Classification analysis,validation and generalizability
2.5. Relationship between radiomic features and cognitive ability,APOE genetics,PGRSs,Ab,Tau,and longitudinal changes in the cognitive abilities in MCI group
2.6. Availability of data and materials
3. Results
3.1. Demographic characteristics and neuropsychological assessment of the groups
3.2. Hippocampal radiomic features differ among the AD,MCI and NC subjects
3.3. Classification performance
3.4. Radiomic features and cognitive ability,APOE genotype,Ab,Tau,and longitudinal cognitive changes in the MCI subjects
4. Discussion
5. Limitations and caveats
6. Conclusion
Conflict of interest
Author contributions
Appendix A.Supplementary materials
【参考文献】:
期刊论文
[1]ASAF: altered spontaneous activity fingerprinting in Alzheimer’s disease based on multisite fMRI[J]. Jiachen Li,Dan Jin,Ang Li,Bing Liu,Chengyuan Song,Pan Wang,Dawei Wang,Kaibin Xu,Hongwei Yang,Hongxiang Yao,Bo Zhou,Alexandre Bejanin,Gael Chetelat,Tong Han,Jie Lu,Qing Wang,Chunshui Yu,Xinqing Zhang,Yuying Zhou,Xi Zhang,Tianzi Jiang,Yong Liu,Ying Han. Science Bulletin. 2019(14)
本文编号:3183883
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