ESTRO 2024 - Abstract Book

S3715

Physics - Dose prediction, optimisation and applications of photon and electron planning

ESTRO 2024

the same time the memory limitations and the loss of efficiency typical of common robust optimization algorithms.

Keywords: Robustness, 4D, IMRT

References:

[1] D. Cusumano et al. "Reliability of ITV approach to varying treatment fraction time: a retrospective analysis based on 2D cine MR images", Radiation Oncology, 2020

[2] J. Unkelbach et al. "Inclusion of organ movements in IMRT treatment planning via inverse planning based on probability distributions", Phys. Med. Biol. 2004

[3] H.P. Wieser, et al. "Development of the open-source dose calculation and optimization toolkit matRad.", Medical Physics 44.6, 2017

2841

Digital Poster

Treatment Planning Automation in Prostate Radiotherapy: Overcoming Implementation Challenges.

Esteban Sepulveda, Maxime Desbiens, Vincent Turgeon, Dany Truchon, Georges Wakil, Yannick Hervieux, Alexandre Bourque

Charles LeMoyne Hospital, Radiation Oncology, Montreal, Canada

Purpose/Objective:

The conventional approach to treatment planning is susceptible to human errors and inefficiencies. This study aims to introduce script-based automated planning to standardize and accelerate prostate treatment planning. Additionally, we aim to share our experience in the clinical implementation of the script as well as highlighting the challenges to overcome during this shift in practice.

Material/Methods:

Using dosimetric and statistical data from our 20 most recent prostate cancer patients, we developed an automated optimization script using the Python application-programming interface within RayStation 11B. These patients were treated with an external beam radiotherapy dose of 37.5 Gy in 15 fractions, complemented by a brachytherapy boost. We compared the necessary time from start to finish between the manual and automated workflows. Subsequently, we conducted blind surveys with medical physicists, radiation oncologists and dosimetrists to evaluate the performance of the algorithm compared to the traditional dosimetrist planning. The script was organized into three sequential sections: structures definition, plan design, and optimization. The optimization criteria were developed jointly by the medical physics and dosimetry teams to better replicate their work. We gradually implemented the software into clinic use, to allow dosimetrists and physicians to gain confidence in this new tool.