Evidence map›Paper›PMID 38481081›Full record

ArticleMultiple sclerosis (Houndmills, Basingstoke, England)2024

Choroid plexus volume differentiates MS from its mimics.

Elle Levit, Zheng Ren, Virgilio Gonzenbach, Christina J Azevedo, Peter A Calabresi, Bruce Ac Cree, Leorah Freeman, Erin E Longbrake, Jiwon Oh, Matthew K Schindler and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Multiple sclerosis (Houndmills, Basingstoke, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. Article
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

17 authors.

Elle LevitDepartment of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.
Zheng RenPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology and Informatics and Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0009-0006-2430-4625
Virgilio GonzenbachPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology and Informatics and Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Christina J AzevedoDepartment of Neurology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-8622-1845
Peter A CalabresiDepartments of Neurology and Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA.ORCID 0000-0002-7776-6472
Bruce Ac CreeUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, USA.ORCID 0000-0001-7689-2533
Leorah FreemanDell Medical School, The University of Texas at Austin, Austin, TX, USA.
Erin E LongbrakeDepartment of Neurology, Yale University, New Haven, CT, USA.
Jiwon OhDivision of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, ON, Canada.
Matthew K SchindlerDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Nancy L SicotteDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Daniel S ReichTranslational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, USA.ORCID 0000-0002-2628-4334
Daniel OntanedaMellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA.ORCID 0000-0002-2838-9148
Pascal SatiDepartment of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.ORCID 0000-0002-6763-0125
Quy CaoPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology and Informatics and Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.ORCID 0000-0002-6204-1305
Russell T ShinoharaPenn Statistics in Imaging and Visualization Center (PennSIVE), Department of Biostatistics, Epidemiology and Informatics and Center for Biomedical Image Computing and Analytics, Department of Radiology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Andrew J SolomonDepartment of Neurological Sciences, Larner College of Medicine, The University of Vermont, Burlington, VT, USA.ORCID 0000-0003-1602-1554

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Multimodal MRI in Multiple SclerosisZIANS003119 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI REICH, DANIEL · 2010 to 2025
$53.4M
Central Vein Sign: A Diagnostic Biomarker in Multiple SclerosisU01NS116776 · NINDS · CLEVELAND CLINIC LERNER COM-CWRU · PI ONTANEDA, DANIEL, SATI, PASCAL · 2020 to 2024
$7.1M
Inter-modal Coupling Image AnalyticsR01MH112847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI Theodore Satterthwaite, Russell Takeshi Shinohara · 2017 to 2026
$5.9M
Harmonization of Multi-Site Neuroimaging Data from Complex Study DesignsR01MH123550 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2025
$4.0M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Improving Diagnosis of Multiple Sclerosis Through the Integration of Novel Imaging and Laboratory BiomarkersK02NS109340 · NINDS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI SOLOMON, ANDREW J · 2019 to 2022
$720k
NCATS NIH HHS UL1 TR001863NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH123550NINDS NIH HHS K02 NS109340NINDS NIH HHS R01 NS112274NINDS NIH HHS U01 NS116776
6 · The paper itself

Abstract

This study aimed to determine whether choroid plexus volume (CPV) could differentiate multiple sclerosis (MS) from its mimics. A secondary analysis of two previously enrolled studies, 50 participants with MS and 64 with alternative diagnoses were included. CPV was automatically segmented from 3T magnetic resonance imaging (MRI), followed by manual review to remove misclassified tissue. Mean normalized choroid plexus volume (nCPV) to intracranial volume demonstrated relatively high specificity for MS participants in each cohort (0.80 and 0.76) with an area under the receiver-operator characteristic curve of 0.71 (95% confidence interval (CI) = 0.55-0.87) and 0.65 (95% CI = 0.52-0.77). In this preliminary study, nCPV differentiated MS from its mimics.

Indexed as

Choroid PlexusMagnetic Resonance ImagingMultiple SclerosisAdultDiagnosis, DifferentialFemaleHumansMaleMiddle Agedbiomarkerdiagnosisdifferential diagnosismisdiagnosisMRIMultiple sclerosis

Identifiers

PMID38481081
PMCPMC11288781

What OpenQuestion holds

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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.