Evidence map›Paper›PMID 41706138›Full record

ArticleClinical neuroradiology2026

RCBVmax from DSC Perfusion MRI as a Supportive Imaging Biomarker for Differentiating IDH-Mutant Astrocytomas and Oligodendroglioma.

Manoj Mannil, Christian Rubbert, Manfred Musigmann, Mathias Prokop, Paola Feraco, Frederick J A Meijer, Marion Smits, Anja G Van der Kolk, Dylan Henssen

Abstract readMulticenter Study
In one paragraph

Article in Clinical neuroradiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Manoj MannilRadboud university medical center, Nijmegen, Netherlands.
Christian RubbertDüsseldorf University Medical Center, Düsseldorf, Germany.
Manfred MusigmannMünster University Medical Center, Münster, Germany.
Mathias ProkopRadboud university medical center, Nijmegen, Netherlands.
Paola FeracoCentre for medical sciences (CISMed), University of Trento, Trento, Italy.
Frederick J A MeijerRadboud university medical center, Nijmegen, Netherlands.
Marion SmitsUniversity Medical Center Rotterdam, Rotterdam, Netherlands.
Anja G Van der KolkRadboud university medical center, Nijmegen, Netherlands.
Dylan HenssenRadboud university medical center, Nijmegen, Netherlands. dylan.henssen@medizin.uni-leipzig.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGliomas, particularly astrocytomas (IDH-mutated, 1p/19q intact) and oligodendrogliomas (IDH-mutated, 1p/19q co-deleted), differ significantly in their clinical behavior and prognosis. Accurate differentiation between these subtypes is crucial for guiding therapeutic decisions. Non-invasive imaging biomarkers, such as T2-Flair mismatch sign and relative cerebral blood volume (rCBV), have shown promise in glioma classification.

methodsThis retrospective multicenter study analyzed 42 patients with astrocytoma and 21 with oligodendroglioma. Demographic, histopathological, and imaging data were collected, with a focus on rCBV parameters derived from dynamic susceptibility contrast perfusion MRI. Statistical analyses were conducted to assess differences between the groups and evaluate the discriminatory power of rCBV metrics. After correction for multiple corrections, level of significance was set at p < 0.01.

resultsPatients with astrocytoma and oligodendroglioma were similar in age and gender distribution (mean age and male-female-ratio; p = 0.01 respectively p = 0.04). The rCBVmax value was significantly higher in oligodendrogliomas (11.64 vs. 7.69, p < 0.001) and demonstrated a good discriminatory power (AUC = 0.764). Median and mean rCBV values showed non-significant differences between oligodendroglioma and astrocytoma (p = 0.02 respectively p = 0.03).

conclusionrCBVmax emerges as a potential imaging marker for differentiating oligodendrogliomas from astrocytomas. These findings can be explained by biological properties of oligodendrogliomas and thereby underscore the potential of advanced imaging techniques in non-invasive glioma classification. However, larger prospective studies are required to validate these results and standardize imaging protocols.

Indexed as

AstrocytomaBrain NeoplasmsCerebral Blood VolumeMagnetic Resonance AngiographyOligodendrogliomaAdultAgedContrast MediaDiagnosis, DifferentialFemaleHumansIsocitrate DehydrogenaseMaleMiddle AgedMutationPerfusion Magnetic Resonance ImagingContrast MediaIsocitrate DehydrogenaseAstrocytomaDynamic Susceptibility Contrast Perfusion MRIOligodendrogliomarCBVmax

Identifiers

PMID41706138
PMCPMC13319155

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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.