Abstract

Info

Title:: Semi-automatic design of inverse intensity-modulated radiotherapy treatment plans based on Python scripts in RayStation treatment planning system

Author(s):: SHAO Kainan1; WENG Denghu1; LI Yucheng2; YANG Yiwei1; LI Pu1; 1. Key Laboratory of Tumor Radiation Therapy/Department of Radiotherapy Physics, Zhejiang Cancer Hospital, Hangzhou 310022, China; 2. Department of Nuclear Science and Technology, University of South China, Hengyang 421001, China

Keywords:: ; Keywords: chest tumor; intensity-modulated radiotherapy; RayStation treatment planning system; semi-automatic radiotherapy planning

Abstract:: Objective To semi-automatically design inverse intensity-modulated radiotherapy (IMRT) plans with the use of Python scripts in RayStation planning system. Methods Taking the chest radiotherapy plan as an example, we introduced the key steps of the semi-automatical plan design based on Python scripts in RayStation treatment planning system, including the standardization of the name and color of regions of interest, the creation and modification of treatment plan, the setting of clinical goals and optimization functions, and the automatically updating of optimization parameters. Results The radiotherapy planning process was automatically completed using Python scripts. Furthermore, an applet was programmed to create plans based on given prescription doses, which supported different tumor types, prescriptions and other personal settings. Conclusion The use of semi-automatic planning tools of Python scripts can improve the efficiency of radiotherapy planning in RayStation treatment planning system. Physicists can spare more time for individualized revisions and optimizations, which is beneficial for the improvement of radiotherapy plans.