Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

Journal: International journal of radiation oncology, biology, physics
PMID: 39307323

Abstract

PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and accuracy. Linear energy transfer (LET)-based biological effect evaluation can potentially mitigate possible adverse events caused by high LET. New spot arrangement based on the verification computed tomography (vCT) can further improve the replan quality. We propose an oAPT workflow that incorporates all these functionalities and validate its clinical implementation feasibility with patients with prostate cancer.

Authors

  • Hongying Feng
    Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
  • Jie Shan
    Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, No. 136, Hanzhong Road, Nanjing, 210029, Jiangsu Province, China.
  • Carlos E Vargas
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Sameer R Keole
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Jean-Claude M Rwigema
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Nathan Y Yu
    Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ (Y.H., J.H., S.H.P., N.Y.Y., W.L.); Cornell University, Ithaca, NY (Y.H.); Department of Electric Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA (Y.H.); and Department of Radiation Oncology, Mayo Clinic, Rochester, MN (A.B., E.L.M., D.K.E., D.M.R., S.S., C.L.H., B.E.B., M.W.).
  • Yuzhen Ding
    Department of Radiation Oncology, Mayo Clinic, Phoenix, Arizona, USA.
  • Lian Zhang
    Department of Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, USA.
  • Yanle Hu
    Department of Radiation Oncology, Washington University, St. Louis, MO, USA.
  • Steven E Schild
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • William W Wong
    Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, Arizona.
  • Sujay A Vora
    Department of Radiation Oncology, Mayo Clinic, Phoenix, AZ, USA.
  • Jiajian Shen
    Department of Radiation Oncology, Mayo Clinic in Arizona, Phoenix, Arizona.
  • Wei Liu
    Department of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, United States.

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