Evidence map›Paper›PMID 39854706›Full record

ArticleJournal of neurosurgery2025

Competing pathways of intracranial aneurysm growth: linking regional growth distribution and hemodynamics.

Yogesh Karnam, Fernando Mut, Anne M Robertson, Naoki Kaneko, Juan R Cebral

Abstract read
In one paragraph

Article in Journal of neurosurgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Investigation of Contrast Retention in PCOM Aneurysms as a Possible Marker for Instability and Rupture.International journal for numerical methods in biomedical engineering · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Analysis of the Role of Vasa Vasorum in the Oxygen Transport to the Aneurysm Wall.International journal for numerical methods in biomedical engineering · 2025
    Article
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

5 authors.

Yogesh Karnam1Department of Bioengineering, George Mason University, Fairfax, Virginia.
Fernando Mut1Department of Bioengineering, George Mason University, Fairfax, Virginia.
Anne M Robertson2Department of Mechanical Engineering and Material Science, University of Pittsburgh, Pennsylvania; and.
Naoki Kaneko3Department of Interventional Neuroradiology, University of California, Los Angeles, California.
Juan R Cebral1Department of Bioengineering, George Mason University, Fairfax, Virginia.

Funding

Improving Cerebral Aneurysm Risk Assessment through Understanding Wall Vulnerability and Failure ModesR01NS097457 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CEBRAL, JUAN R, ROBERTSON, ANNE MARIE · 2016 to 2025
$6.0M
Bridging the Gap from Hemodynamic Stress to Intracranial Aneurysm Instability: An Integrated Multimodal ApproachR01NS121286 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KANEKO, NAOKI · 2021 to 2025
$2.5M
NINDS NIH HHS R01 NS097457NINDS NIH HHS R01 NS121286
6 · The paper itself

Abstract

objectiveThe complex mix of factors, including hemodynamic forces and wall remodeling mechanisms, that drive intracranial aneurysm growth is unclear. This study focuses on the specific regions within aneurysm walls where growth occurs and their relationship to the prevalent hemodynamic conditions to reveal critical mechanisms leading to enlargement.

methodsThe authors examined hemodynamic models of 67 longitudinally followed aneurysms, identifying 88 growth regions. These regions (of enlargement) were pinpointed through alignment and distance mapping between baseline and follow-up models. Aneurysm wall subdivisions were created based on saccular anatomy and flow-related characteristics, which were used to assess local hemodynamics. The distribution of growing regions across these subdivisions was then studied and stratified by aneurysm location and morphology to reveal distinct growth patterns. Statistical significance was evaluated using the Kruskal-Wallis and Mann-Whitney tests.

resultsGrowth predominantly occurred in the body (p < 0.0001) of aneurysms, with anterior communicating artery (ACom) (p < 0.0001) and lateral (p = 0.002) aneurysms showing a significantly greater tendency for growth in this region. In comparison, middle cerebral artery (MCA) (p < 0.0001) and bifurcation (p = 0.0001) aneurysms demonstrated growth in both the dome and the body. Notable differences in growth distribution across saccular regions included ACom versus MCA (neck, p = 0.038), bifurcation versus lateral (neck, p = 0.008), and so forth. The central flow region saw the most growth (p < 0.0001); although not significant, ACom (p = 0.196) and lateral (p = 0.218) aneurysms showed a tendency for growth in inflow and central zones, while MCA (p = 0.001) and bifurcation (p < 0.0001) aneurysms were more likely to grow in the central flow region.

conclusionsTwo primary mechanisms seem to influence aneurysm growth: high-flow impingement jets in the neck, body, and inflow zones leading to wall degeneration/thinning, mainly in ACom aneurysms; and slow, oscillatory flow conditions in the dome and central flow zones promoting wall remodeling/thickening, mainly in MCA aneurysms. This latter mechanism is also observed as secondary flows in ACom aneurysms. These findings emphasize the need to understand the distinct and sometimes concurrent mechanisms of aneurysm growth, advocating for targeted monitoring and interventions that mitigate rupture risks by considering the unique hemodynamic environments within different aneurysm regions and locations.

Indexed as

HemodynamicsIntracranial AneurysmCerebrovascular CirculationHumansMaleModels, Cardiovascularaneurysm growthcomputational fluid dynamicshemodynamicsintracranial aneurysmvascular disorderswall shear stress

Identifiers

PMID39854706
PMCPMC12129684

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Registered trials

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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.