Evidence map›Paper›PMID 33198313›Full record

ArticleDiagnostics (Basel, Switzerland)2020

Longitudinal Magnetic Resonance Imaging of Cerebral Microbleeds in Multiple Sclerosis Patients.

Karthikeyan Subramanian, David Utriainen, Deepa P Ramasamy, Sean K Sethi, Ferdinand Schweser, John Beaver, Jesper Hagemeier, Bianca Weinstock-Guttman, Rajasimhan Rajagovindan, Robert Zivadinov and 1 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

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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

11 authors.

Karthikeyan SubramanianDepartment of Radiology, Wayne State University, Detroit, MI 48201, USA.ORCID 0000-0002-8328-6790
David UtriainenMagnetic Resonance Innovations, Inc., Bingham Farms, MI 48025, USA.
Deepa P RamasamyBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.ORCID 0000-0003-0691-5087
Sean K SethiDepartment of Radiology, Wayne State University, Detroit, MI 48201, USA.
Ferdinand SchweserBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.ORCID 0000-0003-0399-9211
John BeaverTranslational Imaging, Abbvie Inc., North Chicago, IL 60085, USA.
Jesper HagemeierBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.
Bianca Weinstock-GuttmanJacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14202, USA.
Rajasimhan RajagovindanTranslational Imaging, Abbvie Inc., North Chicago, IL 60085, USA.
Robert ZivadinovBuffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY 14203, USA.ORCID 0000-0002-7799-1485
Ewart Mark HaackeDepartment of Radiology, Wayne State University, Detroit, MI 48201, USA.

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
Automatic Quantification and Labeling of Cerebral Microbleeds, Oxygen Saturation and Sources of Abnormal SusceptibilityR44HL145826 · NHLBI · MAGNETIC RESONANCE INNOVATIONS, INC. · PI HAACKE, EWART MARK · 2019 to 2021
$1.5M
AbbVie ISAT2014-2100NCATS NIH HHS UL1 TR001412NCATS NIH HHS UL1TR001412NHLBI NIH HHS R44 HL145826
6 · The paper itself

Abstract

We hypothesized that cerebral microbleeds (CMBs) in multiple sclerosis (MS) patients will be detected with higher prevalence compared to healthy controls (HC) and that quantitative susceptibility mapping (QSM) will help remove false positives seen in susceptibility weighted imaging (SWI). A cohort of 100 relapsing remitting MS subjects scanned at 3T were used to validate a set of CMB detection guidelines specifically using QSM. A second longitudinal cohort of 112 MS and 25 HCs, also acquired at 3T, was reviewed across two time points. Both cohorts were imaged with SWI and fluid attenuated inversion recovery. Fourteen subjects in the first cohort (14%, 95% CI 8-21%) and twenty-one subjects in the second cohort (18.7%, 95% CI 11-27%) had at least one CMB. The combined information from SWI and QSM allowed us to discern stable CMBs and new CMBs from potential mimics and evaluate changes over time. The longitudinal results demonstrated that longer disease duration increased the chance to develop new CMBs. Higher age was also associated with increased CMB prevalence for MS and HC. We observed that MS subjects developed new CMBs between time points, indicating the need for longitudinal quantitative imaging of CMBs.

Indexed as

cerebral microbleedsmultiple sclerosissusceptibility mappingsusceptibility weighted imaging

Identifiers

PMID33198313
PMCPMC7697968

What OpenQuestion holds

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Registered trials

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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.