Evidence map›Paper›PMID 39904101›Full record

ArticleComputers in biology and medicine2025

The effects of ventricle geometries and boundary conditions on computational modeling of ventriculoperitoneal catheters.

Bryan C Good, James A Killeffer, Stephanie C TerMaath

Abstract read
In one paragraph

Article in Computers in biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

3 authors.

Bryan C GoodDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA. Electronic address: bgood6@utk.edu.
James A KillefferDivision of Neurosurgery, Department of Surgery, University of Tennessee, Graduate School of Medicine, Knoxville, TN, USA.
Stephanie C TerMaathDepartment of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN, USA.

Funding

Characterization of Ventricular Catheter Performance for Improved Treatment of Pediatric HydrocephalusR15EB026196 · NIBIB · UNIVERSITY OF TENNESSEE KNOXVILLE · PI TERMAATH, STEPHANIE CARMELLA · 2018 to 2018
$430k
NIBIB NIH HHS R15 EB026196
6 · The paper itself

Abstract

Hydrocephalus is a condition where an excess amount of cerebrospinal fluid (CSF) accumulates within the ventricles of the brain, leading to elevated intracranial pressure. The most common treatment is the surgical placement of a brain shunt to drain CSF from the ventricles. However, brain shunts have extremely high failure rates and improved devices are needed to minimize device obstruction and failure. To help establish modeling standards for this complex scenario, this work computationally investigates geometric and fluid dynamic variables to determine their effects on shunt performance, in addition to evaluating physiological modeling requirements. Catheter performance metrics included total catheter flow, drainage hole flows, and wall shear stresses (WSSs), which are all known to influence catheter obstruction. It was determined that ventricle and choroid plexus parameters (size, shape, and location) did not play a significant role in catheter performance (<2 % drainage hole flow differences, <12 % WSS differences). Further, patient-specific ventricle models were found to not affect catheter performance compared to a simplified cylinder model (<1 % drainage hole flow differences, <10 % WSS differences). Intracranial pressure boundary conditions, both static and pulsatile, were also applied. It was found that drainage hole flows and WSSs averaged over time were not significantly different between the waveforms and from comparable static pressure simulations. These results show that simplified geometric models and pressure boundary conditions can be used to computationally study ventriculoperitoneal (VP) catheter performance. The results of this research will enhance overall knowledge of CSF dynamics, provide modeling guidance, and contribute to the development of improved CSF shunts.

Indexed as

Cerebral VentriclesComputer SimulationHydrocephalusVentriculoperitoneal ShuntHumansHydrodynamicsIntracranial PressureBoundary conditionsBrain shuntsComputational modelingLateral ventriclesPatient-specific modelsVentriculoperitoneal catheters

Identifiers

PMID39904101
PMCPMC11839320

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Registered trials

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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.