Evidence map›Paper›PMID 40921746›Full record

ArticleScientific data2025

Vessel diameters of 14 basal cerebral arteries assessed in 1000 digital subtraction angiographies.

Till Gumbel, Cindy Richter, Christian Martin, Ulf Nestler

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In one paragraph

Article in Scientific data, 2025. 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

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Till GumbelDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
Cindy RichterDepartment of Neuroradiology, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany.
Christian MartinScaDS.AI, Faculty of Mathematics and Computer Science, Leipzig University, Humboldtstraße 25, 04105, Leipzig, Germany.
Ulf NestlerDepartment of Neurosurgery, University Hospital Leipzig, Liebigstrasse 20, 04103, Leipzig, Germany. ulf.nestler@hpu.lenval.com.ORCID 0000-0002-2963-4344

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Angiographic normative values for the size of intracranial vessels are difficult to obtain, since they vary with gender, height and weight. Cerebral angiography only is indicated in severe cerebrovascular diseases, which also can affect cerebral vessel diameters, impeding the definition of physiological values. To approximate "normal" values, over 1000 contemporary cerebral angiographies from a single neurovascular centre were analyzed. Diameters of 14 basal cerebral arteries, age at examination, gender and underlying disease were noted. The dataset (SPSS 29, IBM) comprises 1010 digital subtraction angiographies. For example, a significant difference (p < 0.001) in the size of the left carotid artery between male (3.23 mm, n = 361, sd = 0.49) and female (3.09 mm, n = 645, sd = 0.52) patients is found. The data can be used to compute intraindividual indices in given diseases, e.g. whether an enlarged diameter of the right media, calculated as ratio to the left media or to the ipsilateral carotid artery, is associated to cerebral aneurysms. The dataset allows for training of machine learning programs, e.g. to predict ischemic stroke or cerebral hemorrhage.

Indexed as

Angiography, Digital SubtractionCerebral ArteriesAdultAgedCerebral AngiographyFemaleHumansMaleMiddle Aged

Identifiers

PMID40921746
PMCPMC12417541

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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.