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Related Concept Videos

Shunt Admittances01:26

Shunt Admittances

196
Shunt admittances play a crucial role in the analysis of transmission lines, particularly for three-phase systems with neutral conductors. When a uniformly charged conductor is positioned above the Earth, it induces an equal but opposite charge on its surface. This interaction creates electric field lines between the conductor and the Earth.
To model this effect, the method of images is employed. This method involves replacing the Earth with an image conductor that mirrors the original...
196

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Updated: Oct 8, 2025

Neuronavigation and Laparoscopy Guided Ventriculoperitoneal Shunt Insertion for the Treatment of Hydrocephalus
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Determination of Programmable Shunt Setting Using CT: Feasibility Study.

Einat Slonimsky1, Brad Zacharia2, Alex Mamourian3

  • 1Diagnostic Radiology, Penn State Health Milton S. Hershey Medical Center, Hershey, USA.

Cureus
|December 29, 2021
PubMed
Summary
This summary is machine-generated.

Determining programmable shunt settings from CT scans is possible for some devices. This non-invasive method could help manage hydrocephalus without additional surgery.

Keywords:
computed tomographydual energy cthydrocephalusmetal artifactsprogrammable shunts

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Biomedical Engineering

Background:

  • Programmable shunts optimize cerebrospinal fluid (CSF) diversion in hydrocephalus patients, adjustable without re-operation.
  • Current shunts use radiopaque markers for setting determination via skull X-rays.
  • Head CT scans are common for VP shunt patients presenting with symptoms, offering a potential imaging alternative.

Purpose of the Study:

  • To evaluate the feasibility of determining programmable shunt settings ex vivo and in vivo using standard head CT scan data.
  • To assess if CT scan data can replace X-rays for shunt setting verification.

Main Methods:

  • Four programmable shunts (Certas Plus, Polaris, proGAV 2.0, Hakim) were scanned on a dried skull using various CT techniques (kVp, mAs, CTDIvol).
  • Image reconstruction with and without CT metal suppression software was performed, generating volume-rendered images.
  • Ten observers predicted shunt settings from volume-rendered images, with one clinical case evaluated.

Main Results:

  • Polaris shunt settings were predicted with 100% accuracy; Certas Plus with 90% accuracy.
  • Hakim and proGAV 2.0 shunts showed 0% and 10% prediction accuracy, respectively.
  • A programmable valve setting was successfully determined from a clinical CT scan.

Conclusions:

  • Shunt valve settings for at least two programmable shunts can be determined from CT-generated volume-rendered images.
  • Metal suppression software improved image quality and may be essential for certain valve designs.
  • CT-based shunt setting determination offers a potential non-invasive alternative to X-rays.