Evidence map›Paper›PMID 41537780›Full record

ArticleEuropean radiology2026

CT-derived density of intracranial arteriosclerosis: a population-based cohort study.

Bernhard P Berghout, Robin Y R Camarasa, Maarten J G Leening, Marleen de Bruijne, M Kamran Ikram, Daniel Bos

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Article in European radiology, 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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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Bernhard P BerghoutDepartment of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
Robin Y R CamarasaDepartment of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
Maarten J G LeeningDepartment of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
Marleen de BruijneDepartment of Radiology and Nuclear Medicine, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
M Kamran IkramDepartment of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands.
Daniel BosDepartment of Epidemiology, Erasmus MC-University Medical Center, Rotterdam, The Netherlands. d.bos@erasmusmc.nl.ORCID http://orcid.org/0000-0001-8979-2603

Funding

Erasmus Universiteit Rotterdam 386070Hartstichting 628.011.213Nederlandse Organisatie voor Wetenschappelijk Onderzoek VI.C.182.042
6 · The paper itself

Abstract

backgroundThe CT-derived density of coronary artery calcification is increasingly associated with the risk of ischemic heart disease. Whether this principle also applies to intracranial artery calcifications (IAC) and cerebrovascular disease risk is unknown, primarily due to the lack of population-based estimates of IAC density and its determinants. We investigated these facets in this cohort study. MATERIALS AND

methodsIn 2464 community-living individuals who underwent non-contrast CT, we measured IAC density and assessed its correlation with IAC volume using Spearman's ρ. We described its distribution in intracranial carotid artery calcification (ICAC), with specific estimates for its subtypes, and vertebrobasilar artery calcification (VBAC). We investigated associations between risk factors and IAC density using multivariable ordinal regression models.

resultsThe prevalence of IAC was 82.8%, with a median density of 232 (IQR 189-287) HU. IAC density correlated moderately with volume (ρ 0.67, 95% CI [0.65-0.70]). ICAC was predominantly composed of higher density, with 80.1% of affected participants having components of ICAC above 400 HU, whereas only 32.0% of participants with VBAC had components above 400 HU. Intimal subtype ICACs showed a predominance for lower densities when compared to medial subtype ICACs. The main determinants of IAC density were hypertension, use of lipid-lowering medication, and smoking, with adjusted odds ratios of 1.59 [1.28-1.90], 1.55 [1.26-1.91], and 1.33 [1.10-1.61], respectively.

conclusionIAC density differs significantly between the anterior and posterior cerebropetal arteries. While IAC density correlated only moderately with its volume, the associations between cardiovascular risk factors and IAC density were mostly similar to those observed with IAC volume. KEY POINTS: Question Drivers of the CT density of intracranial artery calcifications are unknown and may reveal novel risk targets for population-based prevention strategies. Findings Calcifications of the anterior cerebral circulation are denser than those of the posterior circulation. Hypertension, diabetes, and smoking are key drivers of calcification density, resembling most drivers of its volume. Clinical relevance Calcification density may serve in distinguishing subtypes of intracranial calcifications, improving detection of subtype-specific effects. Further research is warranted to determine the role of intracranial arteriosclerosis density in prevention strategies for cerebrovascular diseases.

Indexed as

CalcinosisIntracranial ArteriosclerosisTomography, X-Ray ComputedAgedCohort StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsArteriosclerosisCerebral arterial diseasesCerebrovascular disordersMultidetector computed tomography

Identifiers

PMID41537780
PMCPMC13212371

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