Evidence map›Paper›PMID 31363984›Full record

ArticleInternational journal of computer assisted radiology and surgery2019

Flow-splitting-based computation of outlet boundary conditions for improved cerebrovascular simulation in multiple intracranial aneurysms.

Sylvia Saalfeld, Samuel Voß, Oliver Beuing, Bernhard Preim, Philipp Berg

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 17% of its field
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

15 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
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  6. Image-based hemodynamic simulations for intracranial aneurysms: the impact of complex vasculature.International journal of computer assisted radiology and surgery · 2024
    Article
  7. Article
  8. Review
  9. Multimodal exploration of the intracranial aneurysm wall.International journal of computer assisted radiology and surgery · 2023
    Article
  10. Article
  11. A hybrid hierarchical strategy for registration of 7T TOF-MRI to 7T PC-MRI intracranial vessel data.International journal of computer assisted radiology and surgery · 2023
    Article
  12. Deep learning-based semantic vessel graph extraction for intracranial aneurysm rupture risk management.International journal of computer assisted radiology and surgery · 2023
    Article
  13. Article
  14. Article
  15. 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 at 3 institutions in 1 country.

Sylvia SaalfeldDepartment of Simulation and Graphics, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany. sylvia.saalfeld@ovgu.de.ORCID http://orcid.org/0000-0002-9059-015X
Samuel VoßDepartment of Fluid Dynamics and Technical Flows, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany.
Oliver BeuingUniversity Hospital Magdeburg, Magdeburg, Germany.
Bernhard PreimDepartment of Simulation and Graphics, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany.
Philipp BergDepartment of Fluid Dynamics and Technical Flows, Otto-von-Guericke University Magdeburg, Universitätsplatz 2, 39106, Magdeburg, Germany.
Otto-von-Guericke-Universität Magdeburg · DEKlinikum Magdeburg · DEUniversity Hospital Magdeburg · DE

Funding

Bundesministerium für Bildung und Forschung 13GW0095ADFG BE 6230/2-1DFG SA 3461/2-1
6 · The paper itself

Abstract

purposeImage-based hemodynamic simulations have great potential for precise blood flow predictions in intracranial aneurysms. Due to model assumptions and simplifications with respect to boundary conditions, clinical acceptance remains limited.

methodsWithin this study, we analyzed the influence of outflow-splitting approaches on multiple aneurysm studies and present a new outflow-splitting approach that takes the precise morphological vessel cross sections into account. We provide a detailed comparison of five outflow strategies considering eight intracranial aneurysms: zero-pressure configuration (1), a flow splitting inspired by Murray's law with a square (2) and a cubic (3) vessel diameter, a flow splitting incorporating vessel bifurcations based on circular vessel cross sections (4) and our novel flow splitting including vessel bifurcations and anatomical vessel cross sections (5). Other boundary conditions remain constant. For each simulation and each aneurysm, we conducted an evaluation based on common hemodynamic parameters, e.g., normalized wall shear stress and inflow concentration index.

resultsThe comparison of five outflow strategies for image-based simulations shows a large variability regarding the parameters of interest. Qualitatively, our strategy based on anatomical cross sections yields a more uniform flow rate distribution with increased aneurysm inflow rates. The commonly used zero-pressure approach shows the largest variations, especially for more distal aneurysms. A rank ordering of multiple aneurysms in one patient might still be possible, since the ordering appeared to be independent of the outflow strategy.

conclusionsThe results reveal that outlet boundary conditions have a crucial impact on image-based blood flow simulations, especially for multiple aneurysm studies. We could confirm the advantages of the more complex outflow-splitting model (4) including an incremental improvement (5) compared to strategies (1), (2) and (3) for this application scenario. Furthermore, we discourage from using zero-pressure configurations that lack a physiological basis.

Indexed as

Computer SimulationModels, CardiovascularBlood Flow VelocityCerebrovascular CirculationHemodynamicsHumansImage Processing, Computer-AssistedIntracranial AneurysmComputational fluid dynamicsHemodynamic simulationIntracranial aneurysmsOutlet boundary condition

Identifiers

PMID31363984
OpenAlexW2965830050

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.