Multicenter Study of Pelvic Nodal Autosegmentation Algorithm of Siemens Healthineers: Comparison of Male Versus Female Pelvis.

Journal: Advances in radiation oncology
Published Date: Jul 28, 2023

Abstract

PURPOSE: The autosegmentation algorithm of Siemens Healthineers version VA 30 (AASH) (Siemens Healthineers, Erlangen, Germany) was trained and developed in the male pelvis, with no published data on its usability in the female pelvis. This is the first multi-institutional study to describe and evaluate an artificial intelligence algorithm for autosegmentation of the pelvic nodal region by gender.

Authors

  • Kareem Rayn
    Department of Radiation Oncology, Columbia University Irving Medical Center, New York, New York.
  • Garima Gokhroo
    American Oncology Institute, Hyderabad, CA, India.
  • Brian Jeffers
    Columbia University Vagelos College of Physicians and Surgeons, New York, New York.
  • Vibhor Gupta
    American Oncology Institute, Hyderabad, CA, India.
  • Suresh Chaudhari
    American Oncology Institute, Hyderabad, CA, India.
  • Ryan Clark
    Varian Medical Systems Inc, Palo Alto, California.
  • Anthony Magliari
    Varian Medical Systems Inc, Palo Alto, California.
  • Sushil Beriwal
    Varian Medical Systems Inc, Palo Alto, California.

Keywords

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