Feasibility evaluation of novel AI-based deep-learning contouring algorithm for radiotherapy.

Journal: Journal of applied clinical medical physics
Published Date: Nov 1, 2023

Abstract

PURPOSE: To evaluate the clinical feasibility of the Siemens Healthineers AI-Rad Companion Organs RT VA30A (Organs-RT) auto-contouring algorithm for organs at risk (OARs) of the pelvis, thorax, and head and neck (H&N).

Authors

  • Luis A Maduro Bustos
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Abhirup Sarkar
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Laura A Doyle
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Kelly Andreou
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Jodie Noonan
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Diana Nurbagandova
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • SunJay A Shah
    Department of Radiation Oncology, Christiana Care Helen F. Graham Cancer Center, Newark, Delaware, USA.
  • Omoruyi Credit Irabor
    Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.
  • Firas Mourtada
    Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, Pennsylvania, USA.

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