Evidence map›Paper›PMID 38997764›Full record

ArticleFluids and barriers of the CNS2024

Associations between the choroid plexus and tau in Alzheimer's disease using an active learning segmentation pipeline.

Jiaxin Li, Yueqin Hu, Yunzhi Xu, Xue Feng, Craig H Meyer, Weiying Dai, Li Zhao, Alzheimer’s Disease Neuroimaging Initiative

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In one paragraph

Article in Fluids and barriers of the CNS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Jiaxin LiCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Yueqin HuPsychology, Beijing Normal University, Beijing, China.
Yunzhi XuCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China.
Xue FengBiomedical Engineering, University of Virginia, Charlottesville, VA, US.
Craig H MeyerBiomedical Engineering, University of Virginia, Charlottesville, VA, US.
Weiying DaiDepartment of Computer Science, State University of New York at Binghamton, Binghamton, NY, US.
Li ZhaoCollege of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, Zhejiang, China. lz5bf@virginia.edu.
Alzheimer’s Disease Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Alzheimer's Association AARF-18-566347National Key R&D Program of China 2023YFE0118900NIA NIH HHS U01 AG024904Zhejiang Provincial Natural Science Foundation of China LGJ22H180004, 202006140, and 2022C03057
6 · The paper itself

Abstract

backgroundThe 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.

methodsA 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.

resultsThe 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 < 0.001) and higher perfusion (p = 0.032) at the ChP were found in AD compared to CN groups. Significant correlations were found between the tau and the relative ChP volume (the ChP volume and ChP/parenchyma ratio) in each patient groups and in the univariate regression analysis (p < 0.001), the multiple regression model (p < 0.05 except for the t-tau in the LMCI), and in the step-wise regression model (p < 0.021). In addition, the correlation coefficients changed from - 0.32 to - 0.21 along with the AD progression in the multiple regression model. In contrast, the Aβ42 and Aβ40 shows consistent and significant associations with the lateral ventricle related measures in the step-wise regression model (p < 0.027).

conclusionsThe proposed pipeline provided accurate ChP segmentation which revealed the associations between the ChP and tau level in the AD. The proposed pipeline is available on GitHub ( https://github.com/princeleeee/ChP-Seg ).

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesChoroid Plexustau ProteinsAgedAged, 80 and overBiomarkersFemaleHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMiddle AgedSupervised Machine LearningAmyloid beta-PeptidesBiomarkersMAPT protein, humantau ProteinsActive learningAlzheimer’s diseaseCerebrospinal fluidChoroid plexusGlymphatic system

Identifiers

PMID38997764
PMCPMC11245807

What Socratic holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.