Neural network dose models for knowledge-based planning in pancreatic SBRT.

Journal: Medical physics
Published Date: Nov 1, 2017

Abstract

PURPOSE: Stereotactic body radiation therapy (SBRT) for pancreatic cancer requires a skillful approach to deliver ablative doses to the tumor while limiting dose to the highly sensitive duodenum, stomach, and small bowel. Here, we develop knowledge-based artificial neural network dose models (ANN-DMs) to predict dose distributions that would be approved by experienced physicians.

Authors

  • Warren G Campbell
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Moyed Miften
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
  • Lindsey Olsen
    Department of Radiation Oncology, University of Colorado Memorial Hospital, Colorado Springs, CO, 80909, USA.
  • Priscilla Stumpf
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Tracey Schefter
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, CO, 80045, USA.
  • Karyn A Goodman
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.
  • Bernard L Jones
    Department of Radiation Oncology, University of Colorado School of Medicine, Aurora, Colorado.

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