Evidence map›Paper›PMID 32212833›Full record

ReviewAnnual review of biomedical engineering2020

Hemodynamics of Cerebral Aneurysms: Connecting Medical Imaging and Biomechanical Analysis.

Vitaliy L Rayz, Aaron A Cohen-Gadol

Abstract readReview
In one paragraph

Review in Annual review of biomedical engineering, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Comapping Cellular Content and Extracellular Matrix with Hemodynamics in Intact Arterial Tissues Using Scanning Immunofluorescent Multiphoton Microscopy.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2024
    Article
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  18. Review
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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

2 authors.

Vitaliy L RayzWeldon School of Biomedical Engineering and School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA; email: vrayz@purdue.edu.
Aaron A Cohen-GadolDepartment of Neurosurgery, Indiana University School of Medicine, Indianapolis, Indiana 46202, USA.

Funding

Multi-modality 4D Flow MRI data enhancement for quantification of cerebral aneurysms hemodynamicsR21NS106696 · NINDS · PURDUE UNIVERSITY · PI RAYZ, VITALIY L, SCHNELL, SUSANNE · 2018 to 2019
$419k
NINDS NIH HHS R21 NS106696
6 · The paper itself

Abstract

In the last two decades, numerous studies have conducted patient-specific computations of blood flow dynamics in cerebral aneurysms and reported correlations between various hemodynamic metrics and aneurysmal disease progression or treatment outcomes. Nevertheless, intra-aneurysmal flow analysis has not been adopted in current clinical practice, and hemodynamic factors usually are not considered in clinical decision making. This review presents the state of the art in cerebral aneurysm imaging and image-based modeling, discussing the advantages and limitations of each approach and focusing on the translational value of hemodynamic analysis. Combining imaging and modeling data obtained from different flow modalities can improve the accuracy and fidelity of resulting velocity fields and flow-derived factors that are thought to affect aneurysmal disease progression. It is expected that predictive models utilizing hemodynamic factors in combination with patient medical history and morphological data will outperform current risk scores and treatment guidelines. Possible future directions include novel approaches enabling data assimilation and multimodality analysis of cerebral aneurysm hemodynamics.

Indexed as

Biomechanical PhenomenaAneurysmAnimalsArteriesBlood Flow VelocityComputer SimulationDecision MakingDiagnostic ImagingDisease ProgressionHemodynamicsHumansImage Processing, Computer-AssistedImaging, Three-DimensionalIntracranial AneurysmModels, CardiovascularPostoperative Periodcerebral hemodynamicscomputational fluid dynamicsdata fusionimage-based modelingmodeling uncertaintypatient-specific numerical simulationstranslational research

Identifiers

PMID32212833
PMCPMC9219593

What OpenQuestion holds

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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 OpenQuestion graph.