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Related Experiment Videos

Diagnosis of Ventriculoperitoneal Shunt Malfunction: A Practical Algorithm.

Morgan Broggi1, Costanza M Zattra1, Marco Schiariti1

  • 1Department of Neurosurgery, Fondazione IRCCS Istituto Neurologico Carlo Besta, Milano, Italy.

World Neurosurgery
|February 15, 2020
PubMed
Summary

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A new algorithm accurately diagnoses ventriculoperitoneal shunt (VPS) malfunctions by pinpointing the exact failure level. This allows for targeted VPS revision, avoiding unnecessary replacements and improving patient care.

Area of Science:

  • Neurosurgery
  • Medical Devices
  • Diagnostic Imaging

Background:

  • Ventriculoperitoneal shunts (VPS) are crucial for managing hydrocephalus.
  • Accurate diagnosis of VPS malfunction is essential for timely and effective treatment.
  • Current diagnostic methods may not always precisely identify the site of failure, leading to overtreatment.

Purpose of the Study:

  • To present a practical, minimally invasive algorithm for diagnosing VPS malfunction.
  • To accurately identify the specific level of system failure within the VPS.
  • To enable tailored VPS revision surgery, addressing only the malfunctioning component.

Main Methods:

  • A single-center algorithm based on clinical symptoms and CT-confirmed ventricular dilatation.
  • Percutaneous VPS reservoir puncture to assess cerebrospinal fluid (CSF) flow.
Keywords:
CSF shuntHydrocephalusShunt malfunctionVentriculoperitoneal shuntVentriculoperitoneal shunt revision

Related Experiment Videos

  • Radiographic assessment with contrast injection and selective catheter exclusion to evaluate patency.

    • Main Results:

    • 59 out of 102 patients (57.8%) were diagnosed with VPS malfunction.
    • Failure levels included ventricular catheter (20.3%), valve (18.6%), distal catheter (28.8%), and two-level obstructions (27.1%).
    • Subclinical infection was identified in 5.1% of cases.

    Conclusions:

    • The proposed algorithm is a practical and simple method for diagnosing VPS malfunction.
    • It accurately identifies the exact level of system failure.
    • Enables tailored surgical revision, avoiding unnecessary complete VPS replacement.