Computational Fluid Dynamics of Cerebrospinal Fluid.

Patrick Fillingham, Mehmet Kurt, Swati Rane Levendovszky, Michael R Levitt

Abstract readReview

In one paragraph

Review in Advances in experimental medicine and biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing 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

1 citing paper in PubMed.

Patient-specific CFD modeling of CSF flow in Chiari I malformation: denticulate-ligament-induced compartmentalization explains flow patterns.Fluids and barriers of the CNS · 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

4 authors.

Patrick FillinghamDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA. pfilling@uw.edu.

Mehmet KurtDepartment of Mechanical Engineering, University of Washington, Seattle, WA, USA.

Swati Rane LevendovszkyDepartment of Radiology, University of Washington, Seattle, WA, USA.

Michael R LevittDepartment of Neurological Surgery, University of Washington, Seattle, WA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebrospinal fluid (CSF) plays a critical role in the healthy function of the brain, yet the mechanics of CSF flow remain poorly understood. Computational fluid dynamics is a powerful tool capable of resolving the spatiotemporal evolution of CSF pressures and velocities, but technical and methodological limitations have limited the clinical use of CFD to date. With improvements in medical imaging, computational power, and machine learning, however, CFD may be on the cusp of breaking through into the medical mainstream. In this chapter, we will review the applications of CFD of CSF, present our methodological recommendations for conducting CFD of CSF, present the results of a novel CFD methodology incorporating patient-specific tissue displacements, and discuss the barriers and pathways to clinically useful CFD simulation.

Indexed as

Cerebrospinal FluidComputer SimulationHydrodynamicsBrainCerebrospinal Fluid PressureHumansCerebrospinal fluidComputational simulationNeurological disorders

Identifiers

PMID39523280

DOI10.1016/0021-9991(86)90099-9

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.