Evidence map›Paper›PMID 35300151›Full record

ArticleNeuro-oncology advances

Noninvasive differentiation of molecular subtypes of adult nonenhancing glioma using MRI perfusion and diffusion parameters.

Ilanah J Pruis, Stephan R Koene, Sebastian R van der Voort, Fatih Incekara, Arnaud J P E Vincent, Martin J van den Bent, Geert J Lycklama À Nijeholt, Rishi D S Nandoe Tewarie, Sophie E M Veldhuijzen van Zanten, Marion Smits

Open access · goldAbstract read
In one paragraph

Article in Neuro-oncology advances. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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 1 country.

Ilanah J PruisDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Stephan R KoeneDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Sebastian R van der VoortDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Fatih IncekaraDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Arnaud J P E VincentDepartment of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands.
Martin J van den BentDepartment of Neurology, Erasmus MC, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5710-5127
Geert J Lycklama À NijeholtDepartment of Radiology and Nuclear Medicine, Haaglanden MC, Den Haag, The Netherlands.
Rishi D S Nandoe TewarieDepartment of Neurosurgery, Haaglanden MC, Den Haag, The Netherlands.
Sophie E M Veldhuijzen van ZantenDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.
Marion SmitsDepartment of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0001-5563-2871
Erasmus MC · NLGGD Haaglanden · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nonenhancing glioma typically have a favorable outcome, but approximately 19-44% have a highly aggressive course due to a glioblastoma genetic profile. The aim of this retrospective study is to use physiological MRI parameters of both perfusion and diffusion to distinguish the molecular profiles of glioma without enhancement at presentation. Methods: Ninety-nine patients with nonenhancing glioma were included, in whom molecular status (including 1p/19q codeletion status and IDH mutation) and preoperative MRI (T2w/FLAIR, dynamic susceptibility-weighted, and diffusion-weighted imaging) were available. Tumors were segmented semiautomatically using ITK-SNAP to derive whole tumor histograms of relative Cerebral Blood Volume (rCBV) and Apparent Diffusion Coefficient (ADC). Tumors were divided into three clinically relevant molecular profiles: IDH mutation (IDHmt) with ( Results: rCBV (mean, median, 75 Conclusions: A combination of low ADC and high rCBV, reflecting high cellularity and high perfusion respectively, separates IDHwt from in particular IDHmt 1p/19q intact glioma.

Indexed as

ADCmolecular profileMRInonenhancing gliomarCBV

Identifiers

PMID35300151
PMCPMC8923005
OpenAlexW4213275873

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.