ShanghaiTech University Knowledge Management System
Year-by-year White Matter Hyperintensity Probabilistic Atlases based on China Aging Cohort and its Application to Cognitive Decline Evaluation | |
2024-01-26 | |
会议录名称 | INTERNATIONAL SOCIETY FOR MAGNETIC RESONANCE IN MEDICINE 2024 |
发表状态 | 已发表 |
摘要 | Motivation: As frequently observed in older populations, white matter hyperintensity (WMH) appears a risk factor for cognitive decline. Goal(s): To construct normative WMH probabilistic atlases for quantifying its spatiotemporal progression and for disease detection. Approach: We released the first set of such atlases and related trajectories, based on a large cohort of the Chinese typical aging population, with AI techniques. Results: We validated its clinical usefulness by comparing cognitive impairment groups with the atlases, as a new tool for early Alzheimer’s disease evaluation. We also found that the WMH in deep, rather than periventricular, white matter moderated aging- induced general cognitive ability reduction. Impact: Given normative curves summarizing WHM progression in Chinese typical aging population, clinicians can better assess abnormalities related to cerebral small-vessel diseases, detect high-risk individuals who will develop cognitive decline in the future, and conduct large-scale community screening for older population. |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/493554 |
专题 | 信息科学与技术学院_硕士生 生物医学工程学院 生物医学工程学院_公共科研平台_智能医学科研平台 生物医学工程学院_PI研究组_张寒组 |
通讯作者 | Han Zhang |
作者单位 | 1.School of Biomedical Engineering, ShanghaiTech University, Shanghai, China 2.The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China 3.Shanghai Clinical Research and Trial Center, Shanghai, China |
第一作者单位 | 生物医学工程学院 |
通讯作者单位 | 生物医学工程学院 |
第一作者的第一单位 | 生物医学工程学院 |
推荐引用方式 GB/T 7714 | Xinyi Cai,Peiyu Huang,Xiao Luo,et al. Year-by-year White Matter Hyperintensity Probabilistic Atlases based on China Aging Cohort and its Application to Cognitive Decline Evaluation[C],2024. |
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