Evidence map›Paper›PMID 28842741›Full record

ArticleNeuroradiology2017

Response Assessment in Neuro-Oncology criteria, contrast enhancement and perfusion MRI for assessing progression in glioblastoma.

Fatima Tensaouti, Jonathan Khalifa, Amélie Lusque, Benjamin Plas, Jean Albert Lotterie, Isabelle Berry, Anne Laprie, Elizabeth Cohen-Jonathan Moyal, Vincent Lubrano

Abstract read
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In one paragraph

Article in Neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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

9 authors.

Fatima TensaoutiToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France. tensaouti.f@chu-toulouse.fr.
Jonathan KhalifaDepartment of Radiation Oncology, Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Toulouse, France.
Amélie LusqueDepartment of Biostatistics, Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Toulouse, France.
Benjamin PlasDepartment of Neurosurgery, CHU Toulouse, Toulouse, France.
Jean Albert LotterieToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
Isabelle BerryToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
Anne LaprieToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.
Elizabeth Cohen-Jonathan MoyalDepartment of Radiation Oncology, Claudius Regaud Institute / Toulouse University Cancer Institute - Oncopole, Toulouse, France.
Vincent LubranoToNIC, Toulouse NeuroImaging Center, Université de Toulouse, Inserm, UPS, Toulouse, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of the study was to evaluate Response Assessment in Neuro-Oncology (RANO) criteria in glioblastoma multiforme (GBM), with respect to the Macdonald criteria and changes in contrast-enhancement (CE) volume. Related variations in relative cerebral blood volume (rCBV) were investigated.

methodsForty-three patients diagnosed between 2006 and 2010 were included. All underwent surgical resection, followed by temozolomide-based chemoradiation. MR images were retrospectively reviewed. Times to progression (TTPs) according to RANO criteria, Macdonald criteria and increased CE volume (CE-3D) were compared, and the percentage change in the 75th percentile of rCBV (rCBV75) was evaluated.

resultsAfter a median follow-up of 22.7 months, a total of 39 patients had progressed according to RANO criteria, 32 according to CE-3D, and 42 according to Macdonald. Median TTPs were 6.4, 9.3, and 6.6 months, respectively. Overall agreement was 79.07% between RANO and CE-3D and 93.02% between RANO and Macdonald. The mean percentage change in rCBV75 at RANO progression onset was over 73% in 87.5% of patients.

conclusionsIn conclusion, our findings suggest that CE-3D criterion is not yet suitable to assess progression in routine clinical practice. Indeed, the accurate threshold is still not well defined. To date, in our opinion, early detection of disease progression by RANO combined with advanced MRI imaging techniques like MRI perfusion and diffusion remains the best way to assess disease progression. Further investigations that would examine the impact of treatment modifications after progression determined by different criteria on overall survival would be of great value.

Indexed as

AdultAgedAged, 80 and overBlood VolumeBrain NeoplasmsCerebrovascular CirculationChemoradiotherapyCombined Modality TherapyContrast MediaDisease ProgressionFemaleGlioblastomaHumansImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMaleContrast MediaContrast enhancementCriteriaDisease progressionGlioblastomaPerfusion magnetic resonance imaging

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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.