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Evidence-Based Dose Planning Aims and Dose Prescription in Image-Guided Brachytherapy Combined With Radiochemotherapy in Locally Advanced Cervical Cancer

  • Kari Tanderup*
  • , Nicole Nesvacil
  • , Kathrin Kirchheiner
  • , Monica Serban
  • , Sofia Spampinato
  • , Nina Boje Kibsgaard Jensen
  • , Maximilian Schmid
  • , Stephanie Smet
  • , Henrike Westerveld
  • , Stefan Ecker
  • , Umesh Mahantshetty
  • , Jamema Swamidas
  • , Supriya Chopra
  • , Remi Nout
  • , Li Tee Tan
  • , Lars Fokdal
  • , Alina Sturdza
  • , Ina Jürgenliemk-Schulz
  • , Astrid de Leeuw
  • , Jacob Christian Lindegaard
  • Christian Kirisits, Richard Pötter
*Corresponding author for this work
  • Aarhus University
  • Medical University of Vienna
  • McGill University
  • KU Leuven
  • Tata Memorial Hospital
  • Homi Bhabha National Institute
  • Leiden University
  • Cambridge University Hospitals NHS Foundation Trust
  • University Medical Center Utrecht

Research output: Contribution to journalReview articleAcademicpeer-review

Abstract

The last 2 decades have witnessed the development and broad adoption of image-guided adaptive brachytherapy (IGABT) combined with radiochemotherapy in patients with locally advanced cervical cancer. A variety of brachytherapy techniques and dose/fractionation schedules have been applied, and until recently, there was no strong evidence available for preferring one approach to another. However, large volumes of data have now provided high level clinical evidence for dose-effect relations for both disease and morbidity endpoints. It is therefore now possible to apply evidence based dose planning aims and dose prescription protocols in IGABT for locally advanced cervical cancer. This review gives an overview of targets/organs-at-risk and disease/morbidity endpoints which are relevant in the context of treatment planning and dose prescription in IGABT. The dosimetric and clinical evidence is summarized to support the implementation of dose prescription protocols which include hard and soft constraints for targets and organs at risk.
Original languageEnglish
Pages (from-to)311-327
Number of pages17
JournalSeminars in radiation oncology
Volume30
Issue number4
Early online date2020
DOIs
Publication statusPublished - Oct 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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