Evidence map›Paper›PMID 26843012›Full record

Trial reportEuropean radiology2016

Identification of a candidate biomarker from perfusion MRI to anticipate glioblastoma progression after chemoradiation.

J Khalifa, F Tensaouti, L Chaltiel, J-A Lotterie, I Catalaa, M P Sunyach, D Ibarrola, G Noël, G Truc, P Walker and 7 more

Abstract readClinical Trial, Phase IIIMulticenter StudyRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in European radiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 24 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

17 authors at 10 institutions in 2 countries.

J KhalifaINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France. jonathan.khalifa@hotmail.fr.
F TensaoutiINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
L ChaltielDepartment of Biostatistics, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse - Oncopôle, 1 avenue Irène-Joliot Curie, 31100, Toulouse, France.
J-A LotterieINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
I CatalaaINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
M P SunyachDepartment of Radiation Oncology, Centre Léon Bérard, 28 Rue Laënnec, 69373, Lyon, France.
D IbarrolaCERMEP - Imagerie du Vivant, Lyon, France.
G NoëlDepartment of Radiation Oncology, Centre Paul Strauss, EA 3430, University of Strasbourg, 3 rue de la Porte de l'Hôpital, 67065, Strasbourg, France.
G TrucDepartment of Radiation Oncology, Centre Georges-François Leclerc, 1 rue Professeur Marion, 21079, Dijon, France.
P WalkerLaboratory of Electronics, Computer Science and Imaging (Le2I), UMR 6306 CNRS, University of Burgundy, Dijon, France.
N MagnéDepartment of Radiation Oncology, Institut de cancérologie Lucien-Neuwirth, 108 bis, avenue Albert-Raimond, 42271, Saint-Priest-en-Jarez, France.
M CharissouxDepartment of Radiation Oncology, Institut du Cancer de Montpellier, 208 avenue des Apothicaires, parc Euromédecine, 34298, Montpellier cedex 5, France.
S KenINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
P PeranINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
I BerryINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
E Cohen-Jonathan MoyalDepartment of Radiation Oncology, Institut Claudius Regaud/Institut Universitaire du Cancer de Toulouse - Oncopôle, 1 avenue Irène-Joliot Curie, 31100, Toulouse, France.
A LaprieINSERM UMR 1214, TONIC (TOulouse NeuroImaging Centre), 31059, Toulouse, France.
Cognitive Neuroimaging Lab · FRInstitute Cancer De La Loire Lucien Neuwirth · FRUniversité Fédérale de Toulouse Midi-Pyrénées · FRCentre d'Exploration et de Recherche Médicale par Emission de Positons · FRCentre Georges François Leclerc · FRCentre Léon Bérard · FRHôpital Rangueil · FRInstitut Claudius Regaud · FRInstitut de Recherche en Cancérologie de Montpellier · FRLevi Strauss (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify relevant relative cerebral blood volume biomarkers from T2* dynamic-susceptibility contrast magnetic resonance imaging to anticipate glioblastoma progression after chemoradiation.

methodsTwenty-five patients from a prospective study with glioblastoma, primarily treated by chemoradiation, were included. According to the last follow-up MRI confirmed status, patients were divided into: relapse group (n = 13) and control group (n = 12). The time of last MR acquisition was t

resultsThe fraction of hypoperfused tumor volume (F_hP

conclusionIterative analysis of F_hP KEY POINTS: • Related rCBV biomarkers from DSC were assessed to anticipate GBM progression. • Biomarkers were assessed through their patterns of variation during the follow-up. • The fraction of hypoperfused tumour volume (F_hP

Indexed as

AdultAgedBiomarkersBlood VolumeBrain NeoplasmsChemoradiotherapyContrast MediaDisease ProgressionFemaleGlioblastomaHumansMagnetic Resonance ImagingMaleMiddle AgedNeoplasm Recurrence, LocalProspective StudiesBiomarkersContrast MediaBiomarkerGlioblastomaPerfusion weighted magnetic resonance imagingRadiotherapyrCBV

Identifiers

PMID26843012
OpenAlexW2296183663

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.