Applied Sciences (Mar 2021)

Feasibility Study of Robust Optimization to Reduce Dose Delivery Uncertainty by Potential Applicator Displacements for a Cervix Brachytherapy

  • Byungdu Jo,
  • Kyeongyun Park,
  • Dongho Shin,
  • Young Kyung Lim,
  • Jong Hwi Jeong,
  • Se Byeong Lee,
  • Hee-Joung Kim,
  • Haksoo Kim

DOI
https://doi.org/10.3390/app11062592
Journal volume & issue
Vol. 11, no. 6
p. 2592

Abstract

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Brachytherapy is an important technique to increase the overall survival of cervical cancer patients. However, a possible shift of the applicators in relation to the target and organs at risk may occur between imaging and treatment. Without daily adaptive brachytherapy planning, these applicator displacements can lead to a significant change in dose distribution. In order to resolve it, a robust optimization method had been developed using a genetic algorithm combined with a median absolute deviation as a robustness evaluation function. The resulting robustness plans from our strategy might be worth considering according to the GEC-ESTRO guidelines. From the point of view of dose delivery uncertainty from applicator displacement, the robust optimization may be considered with caution in a single-plan approach for High Dose Rate brachytherapy treatment planning and should be confirmed by a more thorough investigation.

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