Evidence map›Paper›PMID 41931191›Full record

ArticleJournal of neuro-oncology2026

Intraventricular meningiomas show size-dependent increases in peak ASL-MRI perfusion reflecting vascular heterogeneity.

Christopher J Shin, Abdelkader Mahammedi, Tarik F Massoud

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Article in Journal of neuro-oncology, 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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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Christopher J ShinProgram in Science, Technology and Society, Stanford University School of Humanities and Sciences, 450 Jane Stanford Way, Building 200, Room 19, Stanford, CA, 94305, USA.ORCID http://orcid.org/0009-0003-8973-7390
Abdelkader MahammediDivision of Neuroimaging and Neurointervention, Department of Radiology, Stanford Center for Academic Medicine, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 5659, 94304, USA.ORCID http://orcid.org/0000-0002-8726-9269
Tarik F MassoudDivision of Neuroimaging and Neurointervention, Department of Radiology, Stanford Center for Academic Medicine, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 5659, 94304, USA. tmassoud@stanford.edu.ORCID http://orcid.org/0000-0002-9694-1408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe deep location and choroidal arterial supply of intraventricular meningiomas (IVMs) make preoperative vascular assessment critical for anticipating surgical complexity and hemorrhagic risk, especially in larger tumors. While arterial spin-labeling (ASL)-MRI reliably quantifies tumor blood flow in typical dural meningiomas, IVM perfusion features and heterogeneity relative to other intraventricular lesions remain poorly characterized. We hypothesized that ASL-derived perfusion metrics do not scale proportionally with increasing tumor size and that focal perfusion heterogeneity distinguishes IVMs from non-IVM intraventricular lesions.

methodsWe retrospectively analyzed 20 patients with untreated IVMs and 8 with non-IVM intraventricular hyperperfused masses. We calculated tumor volumes and extracted perfusion values from ASL-cerebral blood flow (CBF) maps from diagnostic-quality ASL-MRI to derive normalized peak and mean tumor CBF, a “hyperperfusion index”, and a volume-normalized “heterogeneity index”. Associations between tumor volume and perfusion metrics were tested using Pearson and Spearman correlation. Excess heterogeneity relative to non-IVM lesions was quantified using log-scale residuals and compared using Mann-Whitney testing.

resultsIVM volume correlated positively with normalized peak CBF (r = 0.61, p = 0.005) and hyperperfusion index (r = 0.64, p = 0.004) but not mean CBF. These associations remained significant under rank-based analysis. Compared with non-IVMs, IVMs demonstrated significantly greater perfusion heterogeneity after adjusting for tumor size (p = 0.025). Larger tumors frequently exhibited focal ASL hyperintense perfusion “hotspots.”

conclusionIVMs exhibit disproportionate focal perfusion heterogeneity and size-dependent increases in peak perfusion not reflected in mean perfusion measures. ASL enables noninvasive characterization of vascular intensity and spatial heterogeneity, providing clinically relevant insight into angiogenic remodeling and improving preoperative vascular risk assessment and stratification.

Indexed as

Cerebral Ventricle NeoplasmsCerebrovascular CirculationMagnetic Resonance ImagingMeningeal NeoplasmsMeningiomaAdultAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedPerfusion Magnetic Resonance ImagingRetrospective StudiesSpin LabelsTumor BurdenSpin LabelsCerebrovascular circulationLateral ventriclesMagnetic resonance imagingMeningeal neoplasmsPerfusionTumor burden

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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.