Sequential Optimization Scripts to Facilitate Treatment Planning for Robotic Radiosurgery Clinical Studies for Prostate and Lung Cancers

摘要

Sequential Optimization, which features a script-able optimization process, is the latest inverse planning tool available for robotic radiosurgery. The purpose of this study was to create and evaluate Sequential Optimization scripts to facilitate the treatment planning for clinical studies for radiosurgery treatment of prostate and lung cancer. Four sample scripts were designed to generate treatment plans according to the clinical objectives defined in current prostate and lung cancer protocols. The scripts were evaluated using a group of 10 prostate cancer cases and 10 lung cancer cases with tumors of various sizes and shapes. The scripts generated treatment plans with dose distributions within minor variations defined by the protocols for most cases and provided good starting points for the challenging cases.