Evidence map›Paper›PMID 41323131›Full record

ArticleStroke (Hoboken, N.J.)2025

Intracranial Aneurysm Wall Phenotypes: Clinical, Morphological, and Hemodynamic Influences.

Yogesh Karnam, Fernando Mut, Alexander K Yu, Boyle Cheng, Sepideh Amin-Hanjani, Marte van Keulen, Fady T Charbel, Timothy White, Mika Niemelä, Riikka Tulamo and 5 more

Abstract read
In one paragraph

Article in Stroke (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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 · 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

15 authors.

Yogesh KarnamDepartment of Bioengineering, George Mason University, Fairfax, VA.ORCID 0000-0002-4015-4341
Fernando MutDepartment of Bioengineering, George Mason University, Fairfax, VA.
Alexander K YuDepartment of Neurosurgery, Allegheny General Hospital, Pittsburgh, PA.
Boyle ChengDepartment of Neurosurgery, Allegheny General Hospital, Pittsburgh, PA.
Sepideh Amin-HanjaniDepartment of Neurological Surgery, University Hospital Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH.
Marte van KeulenDepartment of Neurological Surgery, University Hospital Cleveland Medical Center, Case Western Reserve University School of Medicine, Cleveland, OH.
Fady T CharbelDepartment of Neurosurgery, University of Illinois at Chicago, Chicago, IL.
Timothy WhiteDepartment of Neurosurgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY.
Mika NiemeläNeurosurgery Research Group, Helsinki University Hospital, Helsinki, Finland.
Riikka TulamoNeurosurgery Research Group, Helsinki University Hospital, Helsinki, Finland.
Behnam Rezai JahromiNeurosurgery Research Group, Helsinki University Hospital, Helsinki, Finland.
Juhana FrösenDepartment of Neurosurgery, University of Tampere, Tampere, Finland.
Yasutaka TobeDepartment of Mechanical Engineering and Material Science, University of Pittsburgh, Pittsburgh, PA.
Anne M RobertsonDepartment of Mechanical Engineering and Material Science, University of Pittsburgh, Pittsburgh, PA.
Juan R CebralDepartment of Bioengineering, George Mason University, Fairfax, VA.

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

backgroundIntracranial aneurysm (IA) wall remodeling remains a critical yet poorly understood process despite extensive research into clinical, morphological, and hemodynamic determinants of IA formation, growth, and rupture. This study aimed to systematically characterize IA wall phenotypes-thin walled, thick walled, and heterogeneous-and to identify clinical, morphological, and hemodynamic determinants associated with these categories using intraoperative imaging and advanced computational analyses.

methodsIntraoperative video recordings allowed for detailed annotation of wall regions, classifying distinct areas as red-translucent-acellular (thin) or white-hyperplastic/fibrotic and yellow-atherosclerotic (thick), along with associated blebs. Based on these observations, 12 subcategories were initially defined and then consolidated into 3 groups: Group A (thin-walled), Group B (thick-walled), and Group C (heterogeneous-walled). Statistical analyses, including chi-square tests, Mann-Whitney

resultsAnalysis of 135 IAs from 122 patients revealed that older age and smoking were strongly associated with thick-walled (Group B) and heterogeneous (Group C) aneurysms, whereas younger patients predominantly exhibited thin-walled aneurysms (Group A). Group A aneurysms were generally smaller, more elongated, and subjected to higher wall shear stress (WSS) and greater local curvature, suggesting shear-induced thinning. In contrast, Group B aneurysms were larger, with wider necks, exhibited lower WSS and higher relative residence time, and were likely influenced by chronic inflammatory processes, leading to a more fibrotic or atherosclerotic remodeling. Group C aneurysms demonstrated the most complex remodeling patterns; they displayed both thin and thick regions, irregular shapes, and strong intra-aneurysmal flow characterized by high inflow rates and turbulent flow complexity, which may contribute to simultaneous thinning and thickening within the same lesion.

conclusionThese results suggest that IA wall remodeling follows a continuum influenced by an interplay of clinical, morphological, and hemodynamic factors. Recognizing these distinct phenotypes may improve risk stratification and inform personalized treatment strategies. Although the direct prediction of rupture risk remains to be established, this multidimensional approach provides novel insights into the pathophysiological evolution of IA wall characteristics and highlights potential avenues for further investigation.

Indexed as

aneurysm phenotypeshemodynamicsinflammationintracranial aneurysmsintraoperativevessel wallwall remodelling

Identifiers

PMID41323131
PMCPMC12662757

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.