Autor: |
Jiaxin Li, Yueqin Hu, Yunzhi Xu, Xue Feng, Craig H. Meyer, Weiying Dai, Li Zhao, for the Alzheimer’s Disease Neuroimaging Initiative |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Fluids and Barriers of the CNS, Vol 21, Iss 1, Pp 1-11 (2024) |
Druh dokumentu: |
article |
ISSN: |
2045-8118 |
DOI: |
10.1186/s12987-024-00554-4 |
Popis: |
Abstract Background The cerebrospinal fluid (CSF), primarily generated by the choroid plexus (ChP), is the major carrier of the glymphatic system. The alternations of CSF production and the ChP can be associated with the Alzheimer’s disease (AD). The present work investigated the roles of the ChP in the AD based on a proposed ChP image segmentation pipeline. Methods A human-in-the-loop ChP image segmentation pipeline was implemented with intermediate and active learning datasets. The performance of the proposed pipeline was evaluated on manual contours by five radiologists, compared to the FreeSurfer and FastSurfer toolboxes. The ChP volume and blood flow were investigated among AD groups. The correlations between the ChP volume and AD CSF biomarkers including phosphorylated tau (p-tau), total tau (t-tau), amyloid-β42 (Aβ42), and amyloid-β40 (Aβ40) was investigated using three models (univariate, multiple variables, and stepwise regression) on two datasets with 806 and 320 subjects. Results The proposed ChP segmentation pipeline achieved superior performance with a Dice coefficient of 0.620 on the test dataset, compared to the FreeSurfer (0.342) and FastSurfer (0.371). Significantly larger volumes (p |
Databáze: |
Directory of Open Access Journals |
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