Evidence map›Paper›PMID 31482602›Full record

ArticleNMR in biomedicine2019

Measurements of cerebral blood volume using quantitative susceptibility mapping, R

Leonardo A Rivera-Rivera, Tilman Schubert, Kevin M Johnson

Open access · greenAbstract read
In one paragraph

Article in NMR in biomedicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. [Reproducibility analysis of quantitative susceptibility mapping of cerebral subcortical nuclei in healthy adults].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    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

3 authors at 2 institutions in 2 countries.

Leonardo A Rivera-RiveraDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.ORCID 0000-0001-5629-8721
Tilman SchubertDepartment of Neuroradiology, Zurich University Hospital, Zurich, Switzerland.
Kevin M JohnsonDepartment of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA.
University of Wisconsin–Madison · USUniversity Hospital of Zurich · CH

Funding

The Longitudinal Course of Neural Function and Amyloid in People At Risk for ADR01AG021155 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sterling C Johnson · 2004 to 2026
$27.0M
Accelerated Neuro-MRA Using Compressed Sensing and Constrained ReconstructionR01NS066982 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI JOHNSON, KEVIN MICHAEL, TURSKI, PATRICK ALAN · 2010 to 2018
$2.7M
NIA NIH HHS R01 AG021155NINDS NIH HHS R01 NS066982
6 · The paper itself

Abstract

Ferumoxytol-enhanced MRI holds potential for the non-invasive assessment of vascular architecture using estimates of cerebral blood volume (CBV). Ferumoxytol specifically enables steady-state imaging with extended acquisition times, for substantial improvements in resolution and contrast-to-noise ratio. With such data, quantitative susceptibility mapping (QSM) can be used to obtain images of local tissue magnetic susceptibility and hence estimate the increase in blood susceptibility after administration of a contrast agent, which in turn can be correlated to tissue CBV. Here, we explore the use of QSM for CBV estimation and compare it with R

Indexed as

Cerebral Blood VolumeMagnetic Resonance ImagingAdultComputer SimulationFemaleFerrosoferric OxideHumansMaleMiddle AgedNumerical Analysis, Computer-AssistedPhantoms, ImagingYoung AdultFerrosoferric Oxidebrain perfusionCBVCE MRIferumoxytolQSM

Identifiers

PMID31482602
PMCPMC6868300
OpenAlexW2971833438

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.