Automated CT registration tool improves sensitivity to change in ventricular volume in patients with shunts and drains.

Journal: The British journal of radiology
Published Date: Jan 3, 2020

Abstract

OBJECTIVE: CT is the mainstay imaging modality for assessing change in ventricular volume in patients with ventricular shunts or external ventricular drains (EVDs). We evaluated the performance of a novel fully automated CT registration and subtraction method to improve reader accuracy and confidence compared with standard CT.

Authors

  • Ghiam Yamin
    Department of Radiology, University of California San Diego School of Medicine, La Jolla, CA.
  • Piyaphon Cheecharoen
    Department of Radiology, University of California San Diego School of Medicine, La Jolla, CA.
  • Gunjan Goel
    Department of Neurosurgery, University of California San Diego School of Medicine, La Jolla, CA.
  • Andrew Sung
    Department of Radiology, University of California San Diego School of Medicine, La Jolla, CA.
  • Charles Q Li
    Department of Radiology, University of California San Diego School of Medicine, La Jolla, CA.
  • Yu-Hsuan A Chang
    Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, CA.
  • Carrie R McDonald
    Department of Psychiatry, University of California San Diego School of Medicine, La Jolla, CA.
  • Nikdokht Farid
    Department of Radiology, University of California San Diego School of Medicine, La Jolla, CA.

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