Evidence map›Paper›PMID 28887206›Full record

ArticleMagnetic resonance imaging2017

Reproducibility and relative stability in magnetic resonance imaging indices of tumor vascular physiology over a period of 24h in a rat 9L gliosarcoma model.

Tavarekere N Nagaraja, Rasha Elmghirbi, Stephen L Brown, Lonni R Schultz, Ian Y Lee, Kelly A Keenan, Swayamprava Panda, Glauber Cabral, Tom Mikkelsen, James R Ewing

Open access · greenAbstract read
In one paragraph

Article in Magnetic resonance imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 10 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

10 authors at 2 institutions in 2 countries.

Tavarekere N NagarajaDept. of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA. Electronic address: tnagara1@hfhs.org.
Rasha ElmghirbiDept. of Neurology, Henry Ford Hospital, Detroit, MI, USA; Dept. of Physics, Oakland University, Rochester, MI, USA.
Stephen L BrownDept. of Radiation Oncology, Henry Ford Hospital, Detroit, MI, USA.
Lonni R SchultzDept. of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA; Dept. of Public Health Sciences, Henry Ford Hospital, Detroit, MI, USA.
Ian Y LeeDept. of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
Kelly A KeenanDept. of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA.
Swayamprava PandaDept. of Neurology, Henry Ford Hospital, Detroit, MI, USA.
Glauber CabralDept. of Neurology, Henry Ford Hospital, Detroit, MI, USA.
Tom MikkelsenDept. of Neurosurgery, Henry Ford Hospital, Detroit, MI, USA; Ontario Brain Institute, Toronto, ON, Canada.
James R EwingDept. of Neurology, Henry Ford Hospital, Detroit, MI, USA; Dept. of Physics, Oakland University, Rochester, MI, USA; Dept. of Neurology, Wayne State University, Detroit, MI, USA.
Henry Ford Hospital · USWayne State University · US

Funding

MRI Biomarkers of Response in Cerebral TumorsR01CA135329 · NCI · HENRY FORD HEALTH SYSTEM · PI EWING, JAMES R · 2009 to 2013
$1.5M
NCI NIH HHS R01 CA135329
6 · The paper itself

Abstract

purposeThe objective was to study temporal changes in tumor vascular physiological indices in a period of 24h in a 9L gliosarcoma rat model.

methodsFischer-344 rats (N=14) were orthotopically implanted with 9L cells. At 2weeks post-implantation, they were imaged twice in a 24h interval using dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). Data-driven model-selection-based analysis was used to segment tumor regions with varying vascular permeability characteristics. The region with the maximum number of estimable parameters of vascular kinetics was chosen for comparison across the two time points. It provided estimates of three parameters for an MR contrast agent (MRCA): i) plasma volume (v

resultsTest-retest differences between population summaries for any parameter were not significant (paired t and Wilcoxon signed rank tests). Bland-Altman plots showed no apparent trends between the differences and averages of the test-retest measures for all indices. The intraclass correlation coefficients showed moderate to almost perfect reproducibility for all of the parameters, except v

conclusionThe data suggest the relative stability of these MR indices of tumor microenvironment over a 24h duration in this gliosarcoma model.

Indexed as

AnimalsBrainBrain NeoplasmsContrast MediaDisease Models, AnimalGliosarcomaImage EnhancementMagnetic Resonance ImagingMaleRatsRats, Inbred F344Reproducibility of ResultsTimeContrast MediaDCE-MRIGlioblastomaK(trans)Model selectionTest-retest

Identifiers

PMID28887206
PMCPMC8035668
OpenAlexW2753664732

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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.