Evidence map›Paper›PMID 24849664›Full record

ArticleJournal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism2014

Microvascular MRI and unsupervised clustering yields histology-resembling images in two rat models of glioma.

Nicolas Coquery, Olivier Francois, Benjamin Lemasson, Clément Debacker, Régine Farion, Chantal Rémy, Emmanuel Luc Barbier

Abstract read
In one paragraph

Article in Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Article
  4. Multiparametric magnetic resonance imaging including oxygenation mapping of experimental ischaemic stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2017
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  8. Review
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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

7 authors.

Nicolas Coquery1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France.
Olivier Francois1] Université Joseph Fourier, Grenoble, France [2] CNRS, UMR5525, TIMC-IMAG Laboratory, La Tronche, France.
Benjamin Lemasson1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France.
Clément Debacker1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France [3] Bruker Biospin MRI, Wissembourg, France.
Régine Farion1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France.
Chantal Rémy1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France.
Emmanuel Luc Barbier1] INSERM, U836, Grenoble, France [2] Université Joseph Fourier, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imaging heterogeneous cancer lesions is a real challenge. For diagnosis, histology often remains the reference, but it is widely acknowledged that biopsies are not reliable. There is thus a strong interest in establishing a link between clinical in vivo imaging and the biologic properties of tissues. In this study, we propose to construct histology-resembling images based on tissue microvascularization, a magnetic resonance imaging (MRI) accessible source of contrast. To integrate the large amount of information collected with microvascular MRI, we combined a manual delineation of a spatial region of interest with an unsupervised, model-based cluster analysis (Mclust). This approach was applied to two rat models of glioma (C6 and F98). Six MRI parameters were mapped: apparent diffusion coefficient, vessel wall permeability, cerebral blood volume fraction, cerebral blood flow, tissular oxygen saturation, and cerebral metabolic rate of oxygen. Five clusters, defined by their MRI features, were found to correspond to specific histologic features, and revealed intratumoral spatial structures. These results suggest that the presence of a cluster within a tumor can be used to assess the presence of a tissue type. In addition, the cluster composition, i.e., a signature of the intratumoral structure, could be used to characterize tumor models as histology does.

Indexed as

AnimalsBrainBrain NeoplasmsCell Line, TumorCluster AnalysisDiscriminant AnalysisGliomaImage Processing, Computer-AssistedMagnetic Resonance ImagingMaleMicrovesselsNeoplasm TransplantationRatsRats, Inbred F344Rats, Wistar

Identifiers

PMID24849664
PMCPMC4126096

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.