Knowledge-Based Planning for Intact Cervical Cancer.

Journal: Seminars in radiation oncology
Published Date: Oct 1, 2020

Abstract

Cervical cancer radiotherapy is often complicated by significant variability in the quality and consistency of treatment plans. Knowledge-based planning (KBP), which utilizes prior patient data to correlated achievable optimal dosimetry with patient-specific anatomy, has demonstrated promise as a quality control tool for controlling this variability, with consequences for patient outcomes, as well as for the reliability of data from multi-institutional clinical trials. In this article we highlight the application of KBP-based quality control to cervical cancer radiotherapy. We discuss the potential impact of KBP on multi-institutional clinical trials to standardize cervical cancer treatment planning across diverse clinics, and discuss challenges and progress in the implementation of KBP for brachytherapy treatment planning. Additionally, we briefly discuss secondary applications of KBP for cervical cancer. The emerging picture from these studies indicates several exciting opportunities for increasing the utilization of KBP in day-to-day cervical cancer radiotherapy.

Authors

  • Tahir I Yusufaly
    Department of Physics and Astronomy, University of Southern California, Los Angeles, California 90089, USA.
  • Sandra M Meyers
    Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, CA.
  • Loren K Mell
    Aaron B. Simon, MD, PhD and Lucas K. Vitzthum, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, CA; and Loren K. Mell, MD, Department of Radiation Medicine and Applied Sciences, University of California San Diego, and Center for Precision Radiation Medicine, La Jolla, CA.
  • Kevin L Moore
    Department of Radiation Medicine and Applied Sciences, University of California, San Diego, La Jolla, California 92093.

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