Evidence map›Paper›PMID 38163279›Full record

ArticleJournal of visualized experiments : JoVE2023

Manual Segmentation of the Human Choroid Plexus Using Brain MRI.

Deepthi Bannai, Yuan Cao, Matcheri Keshavan, Martin Reuter, Paulo Lizano

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 13 citations in OpenAlex.

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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

5 authors at 3 institutions in 4 countries.

Deepthi Bannai *Department of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center.
Yuan Cao *Huaxi MR Research Center (HMRRC), Department of Radiology, West China Hospital of Sichuan University; Department of Psychiatry and Psychotherapy, Jena University Hospital.
Matcheri KeshavanDepartment of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center.
Martin ReuterAI in Medical Imaging, German Center for Neurodegenerative Diseases (DZNE); A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital; Department of Radiology, Harvard Medical School.
Paulo LizanoDepartment of Psychiatry, Beth Israel Deaconess Medical Center; Division of Translational Neuroscience, Beth Israel Deaconess Medical Center; Department of Psychiatry, Harvard Medical School; lizanopl@gmail.com.
Hadassah Medical Center · ILGerman Center for Neurodegenerative Diseases · DEJena University Hospital · DE

Funding

Stability of Biotypes: a Longitudinal EvaluationR01MH078113 · NIMH · WAYNE STATE UNIVERSITY · PI KESHAVAN, MATCHERI S. · 2007 to 2019
$6.2M
FastPlex: A Fast Deep Learning Segmentation Method for Accurate Choroid Plexus MorphometryR01MH131586 · NIMH · UNIVERSITY OF ROCHESTER · PI Paulo L Lizano · 2023 to 2026
$2.3M
NIMH NIH HHS R01 MH078113NIMH NIH HHS R01 MH131586
6 · The paper itself

Abstract

The choroid plexus has been implicated in neurodevelopment and a range of brain disorders. Evidence demonstrates that the choroid plexus is critical for brain maturation, immune/ inflammatory regulation, and behavioral/cognitive functioning. However, current automated neuroimaging segmentation tools are poor at accurately and reliably segmenting the lateral ventricle choroid plexus. Furthermore, there is no existing tool that segments the choroid plexus located in the third and fourth ventricles of the brain. Thus, a protocol delineating how to segment the choroid plexus in the lateral, third, and fourth ventricle is needed to increase the reliability and replicability of studies examining the choroid plexus in neurodevelopmental and brain disorders. This protocol provides detailed steps to create separately labeled files in 3D Slicer for the choroid plexus based on DICOM or NIFTI images. The choroid plexus will be manually segmented using the axial, sagittal, and coronal planes of T1w images making sure to exclude voxels from gray or white matter structures bordering the ventricles. Windowing will be adjusted to assist in the localization of the choroid plexus and its anatomical boundaries. Methods for assessing accuracy and reliability will be demonstrated as part of this protocol. Gold standard segmentation of the choroid plexus using manual delineations can be used to develop better and more reliable automated segmentation tools that can be openly shared to elucidate changes in the choroid plexus across the lifespan and within various brain disorders.

Indexed as

Brain DiseasesChoroid PlexusBrainHumansMagnetic Resonance ImagingNeuroimagingReproducibility of Results

Identifiers

PMID38163279
PMCPMC13334355
OpenAlexW4389805233

What OpenQuestion holds

Textmetadata
LicenceTDM
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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 OpenQuestion graph.