Evidence map›Paper›PMID 17710157›Full record

ArticleNeoplasia (New York, N.Y.)2007

Validation of dynamic contrast-enhanced magnetic resonance imaging-derived vascular permeability measurements using quantitative autoradiography in the RG2 rat brain tumor model.

Moira C Ferrier, Hemant Sarin, Steve H Fung, Bawarjan Schatlo, Ryszard M Pluta, Sandeep N Gupta, Peter L Choyke, Edward H Oldfield, David Thomasson, John A Butman

Open access · goldAbstract readValidation Study
In one paragraph

Article in Neoplasia (New York, N.Y.), 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Review
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  11. Vascular permeability in cerebral cavernous malformations.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2015
    Article
  12. Article
  13. Article
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  15. Article
  16. Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancer.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2014
    Article
  17. Article
  18. Article
  19. Article
  20. Tracer-kinetic modeling of dynamic contrast-enhanced MRI and CT: a primer.Journal of pharmacokinetics and pharmacodynamics · 2013
    Review
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 5 institutions in 2 countries.

Moira C FerrierDiagnostic Radiology Department, Imaging Sciences Program, The Clinical Center of the National Institutes of Health, Bethesda, MD 20892, USA.
Hemant Sarin
Steve H Fung
Bawarjan Schatlo
Ryszard M Pluta
Sandeep N Gupta
Peter L Choyke
Edward H Oldfield
David Thomasson
John A Butman
National Institutes of Health Clinical Center · USNational Institutes of Health · USGeneral Electric (United States) · USNational Cancer Institute · USNational Institute of Neurological Disorders and Stroke · US

Funding

Pathophysiology and Treatment of VasospasmZIANS003054 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LONSER, RUSSELL · 2009 to 2011
$2.2M
Pathophysiology and Treatment of VasospasmZ01NS003054 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI LONSER, RUSSELL · 2008 to 2008
$517k
Core Research Services for Molecular Imaging and Imaging SciencesZ01CL040013 · CLC · CLINICAL CENTER · PI WOOD, BRADFORD · 2008 to 2008
$51k
Core Research Services for Molecular Imaging and Imaging SciencesZICCL040013 · CLC · CLINICAL CENTER · PI FRANK, JOSEPH · 2009 to 2025
$0k
6 · The paper itself

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely used to evaluate tumor permeability, yet measurements have not been directly validated in brain tumors. Our purpose was to compare estimates of forward leakage K(trans) derived from DCE-MRI to the estimates K obtained using [(14)C]aminoisobutyric acid quantitative autoradiography ([(14)C]AIB QAR), an established method of evaluating blood-tumor barrier permeability. Both DCE-MRI and [(14)C]AIB QAR were performed in five rats 9 to 11 days following tumor implantation. K(trans) in the tumor was estimated from DCE-MRI using the threeparameter general kinetic model and a measured vascular input function. K(i) was estimated from QAR data using regions of interest (ROI) closely corresponding to those used to estimate K(trans). K(trans) and K(i) correlated with each other for two independent sets of central tumor ROI (R = 0.905, P = .035; R = 0.933, P = .021). In an additional six rats, K(trans) was estimated on two occasions to show reproducibility (intraclass coefficient = 0.9993; coefficient of variance = 6.07%). In vivo blood-tumor permeability parameters derived from DCE-MRI are reproducible and correlate with the gold standard for quantifying blood tumor barrier permeability, [(14)C]AIB QAR.

Indexed as

Aminoisobutyric AcidsAnimalsAutoradiographyBlood-Brain BarrierBrain NeoplasmsCapillary PermeabilityMagnetic Resonance ImagingMaleRatsRats, Inbred F344Aminoisobutyric Acids

Identifiers

PMID17710157
PMCPMC1939929
OpenAlexW2017816173

What OpenQuestion holds

Textmetadata
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.