Evidence map›Paper›PMID 41585389›Full record

ArticleStroke (Hoboken, N.J.)2024

Variability in Intracranial Vessel Diameters and Considerations for Neurovascular Models: A Systematic Review and Meta-Analysis.

Mahmood Mirza, Katie Kummer, Jillienne Touchette, Ray McCarthy, Ansaar Rai, Patrick Brouwer, Michael Gilvarry

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
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  9. Accurate and fully automated diameter measurements of Circle of Willis arteries on MRA imaging.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  10. Measuring artery diameter in rabbit angiograms for neurovascular disease modeling applications and device testing.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2025
    Article
  11. A novel model to quantify blood transit time in cerebral arteries using ASL-based 4D magnetic resonance angiography with example clinical application in moyamoya disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2025
    Article
  12. Article
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  15. Review
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

7 authors.

Mahmood MirzaMedical Affairs, Cerenovus Galway Ireland.ORCID https://orcid.org/0000-0002-7721-4774
Katie KummerSuperior Medical Experts, Inc. St. Paul MN.
Jillienne TouchetteSuperior Medical Experts, Inc. St. Paul MN.
Ray McCarthyCerenovus, Ballybrit Galway Ireland.
Ansaar RaiDepartment of Radiology and Neurosurgery and Neurology West Virginia University Healthcare Morgantown WV.
Patrick BrouwerCardiovascular & Specialty Solutions Group, Cerenovus Irvine CA.
Michael GilvarryCerenovus, Ballybrit Galway Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In vitro experiments are critical for understanding the impact of medical devices and techniques on blood vessels and blood flow. However, their interpretation is often limited by anatomical models' inability to capture the wide range of vessel sizes observed in real-world practice. The current study aims to address this limitation by describing the distribution of vessel diameters in a real-world population. Methods: This systematic literature review using the PubMed database analyzed cerebral vessel diameters in patients from 2000 to 2022. The diameter measurements of various vessels within the neurovasculature were extracted. Random-effects meta-analyses were performed to synthesize vessel diameters across studies. Predicted distributions were generated from the meta-analytical results. Results: Seventy-six studies were included in the analysis. The M1 segment, internal carotid artery (cervical and communicating segments), A1 segment, V2 segment, V4 segment, and basilar artery had sufficient data for generating predicted distributions of vessel diameters. Predicted mean diameters were as follows: M1 segment, 2.55 ± 0.42 mm (95th interpercentile range [IPR]: 1.71-3.38); internal carotid artery-cervical segment, 4.74 ± 0.64 mm (95th IPR: 3.49-5.99); internal carotid artery-communicating segment, 3.40 ± 0.64 mm (95th IPR: 2.15-4.66); A1 segment, 1.89 ± 0.34 mm (95th IPR: 1.23-2.55); V2 segment, 3.36 ± 0.67 mm (95th IPR: 2.05-4.67); V4 segment, 2.42 ± 0.74 mm (95th IPR: 0.98-3.86); and basilar artery, 2.96 ± 0.52 mm (95th IPR: 1.94-3.97). Conclusion: Cerebral vessel diameter measurements can vary substantially due to patient-specific factors and imaging techniques. This literature review highlights the diverse range of vessel sizes observed in different patient populations, emphasizing the need for anatomical models that accurately represent clinical observations.

Indexed as

cerebral vasculaturehemodynamicsimaging techniquesmeta‐analysismorphometry

Identifiers

PMID41585389
PMCPMC12778522

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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.