摘要
逆向调强放疗(intensity-modulated radiation therapy,IMRT)技术在保证靶区接收足够照射剂量的同时极大地降低了正常组织的受照剂量。在IMRT治疗计划的设计过程中,需要进行多次尝试与优化才能在提高靶区覆盖率与减少正常组织受照剂量的矛盾中找到平衡点。这种常规的计划设计过程十分繁杂,而且很大程度上依赖于设计者自身的经验,缺乏统一的规范和评判标准。因此,如果可以在复杂的优化过程之前就利用某些方法(例如自动计划算法)预测出最终的计划结果,将会提高计划的设计效率和质量。该研究将对放射治疗中自动计划技术的研究进展做一综述。
Intensity-modulated radiation therapy(IMRT)considered as the sophisticated treatment technique is widely used to deliver the desired dose to the tumor volume while limiting the dose to the adjacent healthy tissue.The conflict between increasing the target coverage and sparing of organs at risk(OARs)can be partially balanced when many rounds of IMRT optimization are performed.However,this optimization procedure is a trial-and-error process that is greatly dependent on the experience of the treatment planner and the amount of time they spend.Consequently,a prediction of the clinically acceptable plan before the long optimization,would be an effective and efficient way to improve the quality and consistency of treatment plans.This study summarized the up-to-date studies on the automatic planning technique.
作者
范嘉伟(综述)
王佳舟(审校)
胡伟刚(审校)
FAN Jiawei;WANG Jiazhou;HU Weigang(Department of Radiation Oncology,Fudan University Shanghai Cancer Center and Department of Oncology,Shanghai Medical College,Fudan University,Shanghai 200032,China)
出处
《中国癌症杂志》
CAS
CSCD
北大核心
2018年第6期435-438,共4页
China Oncology
关键词
逆向调强放疗
计划预测
自动计划
Intensity-modulated radiation therapy
Planning prediction
Automatic planning