Evidence map›Paper›PMID 38424598›Full record

ArticleFluids and barriers of the CNS2024

Deep learning segmentation of the choroid plexus from structural magnetic resonance imaging (MRI): validation and normative ranges across the adult lifespan.

Jarrod J Eisma, Colin D McKnight, Kilian Hett, Jason Elenberger, Caleb J Han, Alexander K Song, Ciaran Considine, Daniel O Claassen, Manus J Donahue

Open access · goldAbstract read
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 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
15.0field-weighted citation impact, top 1% 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

51 citing papers in PubMed, 56 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

9 authors at 1 institution in 1 country.

Jarrod J EismaDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Colin D McKnightDepartment of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Kilian HettDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Jason ElenbergerDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Caleb J HanDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Alexander K SongDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Ciaran ConsidineDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Daniel O ClaassenDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA.
Manus J DonahueDepartment of Neurology, Behavioral and Cognitive Neurology, Vanderbilt University Medical Center, 1500 21 stAve South, Village at Vanderbilt, Suite 2600, Nashville, TN, 37212, USA. mj.donahue@vumc.org.
Vanderbilt University Medical Center · US

Funding

Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jeffrey L Neul · 2020 to 2026
$10.3M
Quantitative Imaging of Brain Glymphatic Function in HumansR01AG062574 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CLAASSEN, DANIEL OLIVER, DONAHUE, MANUS J · 2020 to 2024
$3.0M
Quantitative imaging of choroid plexus function and neurofluid circulation in Alzheimer's Disease Related DementiaR01AG083159 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Manus J Donahue · 2023 to 2026
$2.3M
Quantitation of Glymphatic Functioning in Sleep and Meditative StatesR01AT011456 · NCCIH · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CLAASSEN, DANIEL OLIVER, DONAHUE, MANUS J · 2021 to 2023
$1.1M
NCCIH NIH HHS R01 AT011456NIA NIH HHS R01 AG062574NIA NIH HHS R01 AG083159NICHD NIH HHS P50 HD103537NIH HHS 5R01AG062574
6 · The paper itself

Abstract

backgroundThe choroid plexus functions as the blood-cerebrospinal fluid (CSF) barrier, plays an important role in CSF production and circulation, and has gained increased attention in light of the recent elucidation of CSF circulation dysfunction in neurodegenerative conditions. However, methods for routinely quantifying choroid plexus volume are suboptimal and require technical improvements and validation. Here, we propose three deep learning models that can segment the choroid plexus from commonly-acquired anatomical MRI data and report performance metrics and changes across the adult lifespan.

methodsFully convolutional neural networks were trained from 3D T

resultsDeep learning results yielded Dice coefficient = 0.72, Hausdorff distance = 1.97 mm, AUC = 0.87 for T

conclusionsFindings support comparable performance in choroid plexus delineation between standard, clinically available, non-contrasted anatomical MRI sequences. The software embedding the evaluated models is freely available online and should provide a useful tool for the growing number of studies that desire to quantitatively evaluate choroid plexus structure and function ( https://github.com/hettk/chp_seg ).

Indexed as

Deep LearningAdultAgedAged, 80 and overChoroid PlexusHumansImage Processing, Computer-AssistedLongevityMagnetic Resonance ImagingMiddle AgedYoung AdultCerebrospinal fluidChoroid plexusDeep learningGlymphaticNeurofluidsSegmentation

Identifiers

PMID38424598
PMCPMC10903155
OpenAlexW4392294054

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.