ArticleAJNR. American journal of neuroradiology2020
Computational Fluid Dynamics Using a Porous Media Setting Predicts Outcome after Flow-Diverter Treatment.
Article in AJNR. American journal of neuroradiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- What can we learn from machine learning studies on flow diverter aneurysm embolization? A systematic review.Journal of neurointerventional surgery · 2025Pooled it
- Impact of angiotensin-converting-enzyme inhibitors on intracranial aneurysm endovascular treatment outcome.Neuroradiology · 2026Observational
- How aneurysm shape affects occlusion success after flow diverter placement.Neuroradiology · 2025Article
- Development of a Computationally Efficient CFD Method for Blood Flow Analysis Following Flow Diverter Stent Deployment and Its Application to Treatment Planning.Bioengineering (Basel, Switzerland) · 2025Article
- Exploration of the effect of morphology and location on hemodynamics of small aneurysms: a variable-controlled study based on two cases with tandem aneurysms.Biomedical engineering online · 2025Article
- Prediction and SHAP Analysis Integrating Morphological and Hemodynamic Parameters for Unruptured Intracranial Aneurysm Occlusion After Flow Diverter Treatment.CNS neuroscience & therapeutics · 2025Article
- Predictive Methods for Thrombus Formation in the Treatment of Aortic Dissection and Cerebral Aneurysms: A Comprehensive Review.Bioengineering (Basel, Switzerland) · 2024Review
- Analysis of Intracranial Aneurysm Haemodynamics Altered by Wall Movement.Bioengineering (Basel, Switzerland) · 2024Article
- A vertebrobasilar junction aneurysm successfully treated with a combination of surgical clipping and flow diverter placement based on the results of computational fluid dynamics analysis: illustrative case.Journal of neurosurgery. Case lessons · 2024Article
- Hemodynamic differences of posterior communicating artery aneurysms between adult and fetal types of posterior cerebral artery.Acta neurochirurgica · 2023Article
- How does the recurrence-related morphology characteristics of the Pcom aneurysms correlated with hemodynamics?Frontiers in neurology · 2023Article
- Evaluation of Outcome Prediction of Flow Diversion for Intracranial Aneurysms.AJNR. American journal of neuroradiology · 2021Article
- Hemodynamic Investigation of the Effectiveness of a Two Overlapping Flow Diverter Configuration for Cerebral Aneurysm Treatment.Bioengineering (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeKnowledge about predictors of the outcome of flow-diverter treatment is limited. The aim of this study was to predict the angiographic occlusion status after flow-diverter treatment with computational fluid dynamics using porous media modeling for decision-making in the treatment of large wide-neck aneurysms. MATERIALS AND
methodsA total of 27 patients treated with flow-diverter stents were retrospectively analyzed through computational fluid dynamics using pretreatment patient-specific 3D rotational angiography. These patients were classified into no-filling and contrast-filling groups based on the O'Kelly-Marotta scale. The patient characteristics, morphologic variables, and hemodynamic parameters were evaluated for understanding the outcomes of the flow-diverter treatment.
resultsThe patient characteristics and morphologic variables were similar between the 2 groups. Flow velocity, wall shear stress, shear rate, modified aneurysmal inflow rate coefficient, and residual flow volume were significantly lower in the no-filling group. A novel parameter, called the normalized residual flow volume, was developed and defined as the residual flow volume normalized by the dome volume. The receiver operating characteristic curve analyses demonstrated that the normalized residual flow volume with an average flow velocity of ≥8.0 cm/s in the aneurysmal dome was the most effective in predicting the flow-diverter treatment outcomes.
conclusionsIt was established in this study that the hemodynamic parameters could predict the angiographic occlusion status after flow-diverter treatment.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.