Evidence map›Paper›PMID 36547421›Full record

ArticleJournal of cardiovascular development and disease2022

Hemodynamic Analysis Shows High Wall Shear Stress Is Associated with Intraoperatively Observed Thin Wall Regions of Intracranial Aneurysms.

Sricharan S Veeturi, Tatsat R Patel, Ammad A Baig, Aichi Chien, Andre Monteiro, Muhammad Waqas, Kenneth V Snyder, Adnan H Siddiqui, Vincent M Tutino

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Systematic Review of Radiomics and Artificial Intelligence in Intracranial Aneurysm Management.Journal of neuroimaging : official journal of the American Society of Neuroimaging
    Pooled it
  2. Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Description of the local hemodynamic environment in intracranial aneurysm wall subdivisions.International journal for numerical methods in biomedical engineering · 2024
    Article
  8. Article
  9. Article
  10. Computational Fluid Dynamic Simulations of Cerebral Aneurysms.Advances in experimental medicine and biology · 2024
    Review
  11. Observational
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

9 authors.

Sricharan S VeeturiCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.ORCID 0000-0002-8114-3817
Tatsat R PatelCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Ammad A BaigCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Aichi ChienDepartment of Radiology, University of California Los Angeles, Los Angeles, CA 90095, USA.ORCID 0000-0001-6233-4047
Andre MonteiroCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Muhammad WaqasCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Kenneth V SnyderCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Adnan H SiddiquiCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.
Vincent M TutinoCanon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY 14203, USA.

Funding

Investigation of arterial changes in the Circle of Willis during intracranial aneurysm growth in humansR01HL152270 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHIEN, AICHI · 2020 to 2024
$3.2M
NHLBI NIH HHS R01 HL152270
6 · The paper itself

Abstract

backgroundStudying the relationship between hemodynamics and local intracranial aneurysm (IA) pathobiology can help us understand the natural history of IA. We characterized the relationship between the IA wall appearance, using intraoperative imaging, and the hemodynamics from CFD simulations.

methodsThree-dimensional geometries of 15 IAs were constructed and used for CFD. Two-dimensional intraoperative images were subjected to wall classification using a machine learning approach, after which the wall type was mapped onto the 3D surface. IA wall regions included thick (white), normal (purple-crimson), and thin/translucent (red) regions. IA-wide and local statistical analyses were performed to assess the relationship between hemodynamics and wall type.

resultsThin regions of the IA sac had significantly higher WSS, Normalized WSS, WSS Divergence and Transverse WSS, compared to both normal and thick regions. Thicker regions tended to co-locate with significantly higher RRT than thin regions. These trends were observed on a local scale as well. Regression analysis showed a significant positive correlation between WSS and thin regions and a significant negative correlation between WSSD and thick regions.

conclusionHemodynamic simulation results were associated with the intraoperatively observed IA wall type. We consistently found that elevated WSS and WSS

Indexed as

aneurysm wall characterizationcomputational fluid dynamics (CFD)intracranial aneurysmintraoperative videorelative residence time (RRT)wall shear stress (WSS)

Identifiers

PMID36547421
PMCPMC9780790

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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.