放射治疗计划
平面图(考古学)
医学物理学
度量(数据仓库)
理想(伦理)
计算机科学
基线(sea)
试验计划
放射治疗
数学
医学
算法
数据挖掘
统计
外科
海洋学
认识论
地质学
哲学
考古
威布尔分布
历史
作者
E. Cagni,Valeria Trojani,A. Botti,D. G. Lewis,Emiliano Spezi
摘要
In radiotherapy, treatment planning is the process in which the appropriate dose distribution is planned for a specific patient. However, there is no consensus on what the ‘optimal’ plan should be and on how to measure plan quality. The purpose of this study was to develop a tool called a generalized Uniform Ideal Dose’ (gUIDE) that produces an ‘ideal’ dose distribution based on single patient anatomy and dose prescription. By comparing the clinical achieved dose distribution with gUIDE a quantitative measure of plan quality can be derived. gUIDE is based on an exponential function of dose fall-off outside the tumor volume. The algorithm does not require any specification of the treatment machine but only patient geometry information. gUIDE fall-off parameter was properly derived in a simple geometry dose profile. Overall, gUIDE showed a lower DVH than the DVH generated using the clinical treatment planning system, as it was expected for a baseline ideal condition. In the clinical validation, although the statistical test showed significant differences between the two groups, overall values were similar for all structures between gUIDE and PlanIQ. A baseline dose gUIDE was implemented, optimised and evaluated. gUIDE could be accurate enough to be used as baseline to help in the plan evaluation process.
科研通智能强力驱动
Strongly Powered by AbleSci AI