Clinician Perspectives of a Magnetic Resonance Imaging-Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2-Related Schwannomatosis: Qualitative Pilot Study.

Journal: JMIR human factors
Published Date:

Abstract

BACKGROUND: Accurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2-related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but since 3D volumetric analysis is time-consuming, it is not widely used. To shorten the time required for 3D volumetric analysis, our lab has been developing an automated artificial intelligence-driven 3D volumetric tool.

Authors

  • Shelby T Desroches
    Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, CT, United States.
  • Alice Huang
    Columbia University Irving Medical Center, 622 W 168th St, New York, NY 10032, United States of America. Electronic address: alh9176@nyp.org.
  • Rithvik Ghankot
    Department of Orthopaedics and Rehabilitation, Yale School of Medicine, New Haven, CT, United States.
  • Steven M Tommasini
    Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
  • Daniel H Wiznia
  • Frank D Buono
    Department of Psychiatry, Yale School of Medicine, 300 George Street, New Haven, CT, 06510, USA. frank.buono@yale.edu.