Automatic IMRT Treatment Planning using Direct Patient Anatomy Registration
编号：103
稿件编号：97 访问权限：仅限参会人
更新：2021-11-11 13:22:23
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口头报告
报告开始：2021年11月13日 15:15 （Asia/Shanghai）
报告时间：15min
所在会议：[PS1] Plenary Session 1 [RT1] Workshop on RT Session 1
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摘要
We developed a knowledge-based planning method to predict achievable OAR, such as rectum and bladder in cervical cancer, optimization constraints based on patient 3D anatomy similarity. It is a two-step of aligning and matching approach that paired on PTV location and similarity measure on OARs. Using leave-one-out method, we apply this method on a database of 81 cervical IMRT patients. The predicted dose-volume histograms (DVH) parameters were used in treatment planning system to generate a new plan. An example of the new plan was compared with clinical plan by dosimetry goals according to RTOG guidelines.
关键字
caervical radiotherapy,knowledge-based,anatomy similarity,rectum dose reduction,3D dice
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