Knowledge-Based Planning for Intact Cervical Cancer

Semin Radiat Oncol. 2020 Oct;30(4):328-339. doi: 10.1016/j.semradonc.2020.05.009.

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.

Publication types

  • Review

MeSH terms

  • Clinical Trials as Topic
  • Female
  • Humans
  • Knowledge Bases*
  • Organ Sparing Treatments
  • Organs at Risk
  • Quality Control
  • Radiotherapy Dosage
  • Radiotherapy Planning, Computer-Assisted
  • Tumor Burden
  • Uterine Cervical Neoplasms / pathology
  • Uterine Cervical Neoplasms / radiotherapy*