Artificial Intelligence for Automatic Analysis of Shunt Treatment in Presurgery and Postsurgery Computed Tomography Brain Scans of Patients With Idiopathic Normal Pressure Hydrocephalus.

Journal: Neurosurgery
Published Date: Jun 6, 2024

Abstract

BACKGROUND AND OBJECTIVES: Ventriculo-peritoneal shunt procedures can improve idiopathic normal pressure hydrocephalus (iNPH) symptoms. However, there are no automated methods that quantify the presurgery and postsurgery changes in the ventricular volume for computed tomography scans. Hence, the main goal of this research was to quantify longitudinal changes in the ventricular volume and its correlation with clinical improvement in iNPH symptoms. Furthermore, our objective was to develop an end-to-end graphical interface where surgeons can directly drag-drop a brain scan for quantified analysis.

Authors

  • S Shailja
    Department of Electrical and Computer Engineering, University of California, Santa Barbara , California , USA.
  • Christopher Nguyen
    Cardiovascular Research Center, Massachusetts General Hospital, Charlestown, MA 02129, USA Caroline.Burns@childrens.harvard.edu Geoff.Burns@childrens.harvard.edu Christopher.nguyen@mgh.harvard.edu.
  • Krithika Thanigaivelan
    Department of Electrical and Computer Engineering, University of California, Santa Barbara , California , USA.
  • Chandrakanth Gudavalli
    Department of Electrical and Computer Engineering, University of California, Santa Barbara , California , USA.
  • Vikram Bhagavatula
    Department of Electrical and Computer Engineering, University of California, Santa Barbara , California , USA.
  • Jefferson W Chen
    Department of Neurosurgery, Irvine Medical Center, University of California, Orange , California , USA.
  • B S Manjunath
    Department of Electrical and Computer Engineering, University of California, Santa Barbara , California , USA.

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