A script/software for VMAT treatment auto-planning with Varian Eclipse API programming

Stanford researchers have developed a pioneering autonomous radiation-therapy treatment planning tool for clinical implementation. This technological advancement has emerged to overcome the pressing challenges within radiation oncology including the labor-intensive nature of the treatment planning process, the difficulty in ensuring an optimal treatment plan, and the need to efficiently deliver a tumoricidal radiation dose without increasing radiation toxicity. The tool includes features such as a treatment plan evaluator offering quantitative plan assessment, and a sophisticated algorithm functioning like a human planner to automatically update optimization parameters. The dosimetric metric from the simple treatment plans (such as PTV-only plans) is modeled to predict and initialize the personalized optimization constraints for a new patient. Varian Eclipse API programming environment is used to provide an effective platform to interact with Eclipse TPS and enable us to leverage the sophisticated Eclipse software subroutines. The tool features a user-friendly graphical interface applied within the industry-leading Eclipse software.

The development of this autonomous treatment planning tool could revolutionize radiotherapy practice by addressing treatment planning problems and implement VMAT/IMRT auto-planning process with high efficiency and high quality for different disease sites, including head & Neck, prostate, lung, pelvis, etc...

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