Evidence map›Paper›PMID 35384119›Full record

ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022

Multisite MRI reproducibility of lateral ventricular volume using the NAIMS cooperative pilot dataset.

Dejan Jakimovski, Robert Zivadinov, Niels Bergsland, Jiwon Oh, Melissa Martin, Russell T Shinohara, Rohit Bakshi, Peter A Calabresi, Nico Papinutto, Daniel Pelletier and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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

11 authors at 9 institutions in 4 countries.

Dejan JakimovskiBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.ORCID 0000-0001-7114-4958
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.ORCID 0000-0002-7799-1485
Niels BergslandBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.ORCID 0000-0002-7792-0433
Jiwon OhSt. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-5519-6088
Melissa MartinDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Russell T ShinoharaDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.ORCID 0000-0001-8627-8203
Rohit BakshiLaboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-8601-5534
Peter A CalabresiDepartment of Neurology, Johns Hopkins University, Baltimore, Maryland, USA.ORCID 0000-0002-7776-6472
Nico PapinuttoUCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, California, USA.ORCID 0000-0003-2184-4782
Daniel PelletierDepartment of Neurology, University of Southern California, Los Angeles, California, USA.
Michael G DwyerBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA.ORCID 0000-0003-4684-4658
University at Buffalo, State University of New York · USBrigham and Women's Hospital · USDon Carlo Gnocchi Foundation · ITJohns Hopkins University · USLaboratoire d’Imagerie Biomédicale · FRSt. Michael's Hospital · CAUniversity of California, San Francisco · USUniversity of Pennsylvania · USUniversity of Southern California · US

Funding

University of Buffalo Clinical and Translational Science Institute - Supplement SchulyerUL1TR001412 · NCATS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI MURPHY, TIMOTHY F · 2015 to 2024
$33.8M
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
Adaptive Large-Scale Framework for Automatic Biomedical Image SegmentationR01EB017255 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI YUSHKEVICH, PAUL A. · 2014 to 2018
$3.0M
Advanced Statistical Analytics of MRI in MSR01NS112274 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2020 to 2024
$2.8M
Statistical methods for large and complex databases of ultra-high-dimensionalR01NS085211 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI SHINOHARA, RUSSELL TAKESHI · 2013 to 2017
$1.8M
Spatiotemporal Modeling of MRI Brain Lesion Trajectories of Biomarker DiscoveryR21NS093349 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI ELOYAN, ANI, SHINOHARA, RUSSELL TAKESHI · 2016 to 2017
$454k
32-Channel Head Coil and Hardware Upgrade for 3T Magnetom Trio A Tim InstrumentS10OD016356 · OD · OREGON HEALTH & SCIENCE UNIVERSITY · PI ROONEY, WILLIAM D · 2014 to 2014
$115k
NCATS NIH HHS UL1 TR001412NIBIB NIH HHS R01 EB017255NIH HHS S10 OD016356NIMH NIH HHS R01 MH112847NIMH NIH HHS R01 MH123550NINDS NIH HHS R01 NS085211NINDS NIH HHS R01 NS112274NINDS NIH HHS R21 NS093349
6 · The paper itself

Abstract

background and purposeThe North American Imaging in Multiple Sclerosis (NAIMS) multisite project identified interscanner reproducibility issues with T1-based whole brain volume (WBV). Lateral ventricular volume (LVV) acquired on T2-fluid-attenuated inverse recovery (FLAIR) scans has been proposed as a robust proxy measure. Therefore, we sought to determine the relative magnitude of scanner-induced T2-FLAIR-based LVV and T1-based WBV measurement errors in relation to clinically meaningful changes.

methodsThis was a post hoc analysis of the NAIMS pilot dataset in which a relapsing-remitting MS patient with no intrastudy clinical or radiological activity was imaged twice on seven different Siemens scanners across the United States. LVV was determined using the automated NeuroSTREAM technique on T2-FLAIR and WBV was determined with SIENAX on high-resolution T1-MPRAGE. Average LVV and WBV were measured, and absolute intrascanner and interscanner coefficients of variation (CoVs) were calculated. The variabilities were compared to previously established annual pathological and clinically meaningful cutoffs of 0.40% for WBV and of 3.51% for LVV.

resultsMean LVV across all seven scan/rescan pairs was 45.87 ± 1.15 ml. Average LVV intrascanner CoV was 1.42% and interscanner CoV was 1.78%, both smaller than the reported annualized clinically meaningful cutoff of 3.51%. In contrast, intra- and interscanner CoVs for WBV (0.99% and 1.15%) were both higher than the established cutoff of 0.40%. Individually, 1/7 intrasite and 2/7 intersite pair-wise LVV comparisons were above the 3.51% cutoff, whereas 4/7 intrasite and 7/7 intersite WBV comparisons were above the 0.40% cutoff.

conclusionFully automated LVV segmentation has higher absolute variability than WBV, but much lower relative variability compared to clinically relevant changes, and may therefore be a meaningful proxy outcome measure of neurodegeneration.

Indexed as

Magnetic Resonance ImagingMultiple SclerosisBrainHumansRadionuclide ImagingReproducibility of ResultsFLAIRlateral ventricular volumeMRImultiple sclerosisreproducibility

Identifiers

PMID35384119
PMCPMC9835837
OpenAlexW4223945900

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.