期刊论文

A new approach to model refinement in RapidPlan for predicting intensity- modulated radiotherapy plans for cervical cancer

中文

中国医学物理学杂志

1005-202X

2017

34

2

157-160,165

10.3969/j.issn.1005-202X.2017.02.009

本校为第一机构

目的:提出一种RapidPlan精炼模型的新方法,试图减少建模的工作量以及提高模型的质量和预测能力,并验证该精炼模型方法在宫颈癌病例中的应用。方法:随机选取20个已经批准并完成IMRT计划治疗的宫颈癌病例,导入RapidPlan数据库并建立DVH预测模型,定义为初始模型。然后利用初始模型重新预测20个病人的治疗计划,得到20个新计划,并导入新的数据库以此建立新的DVH预测模型,称之为精炼模型,并将该模型确定为特定病种的最终模型。为了明确在宫颈癌模型中精炼模型是否比初始模型有更好的预测能力以及能预测出更优的结果,通过比较两个模型的训练参数并分别用两个模型预测新入选的10个训练库以外的已经批准并...

Objective To propose a new method for refining the model in RapidPlan to reduce the workloads and improve the model's quality and performance in predicting the treatment plans of intensity- modulated radiotherapy (IMRT) for cervical cancer. Methods The data of 20 randomly selected cases of cervical cancer with approved and completed IMRT planning were imported into RapidPlan database to construct a dose-volume histogram (DVH) prediction model, which was defined as the initial model. Using the initial model, the IMRT plans of the patients were re-predicted to obtain 20 new plans, which were inp...