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一种在调强放射治疗优化中纳入系统不确定性的新方法。

A new method of incorporating systematic uncertainties in intensity-modulated radiotherapy optimization.

作者信息

Yang Jie, Mageras Gig S, Spirou Spiridon V, Jackson Andrew, Yorke Ellen, Ling C Clifton, Chui Chen-Shou

机构信息

Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021, USA.

出版信息

Med Phys. 2005 Aug;32(8):2567-79. doi: 10.1118/1.1954161.

Abstract

Uncertainties in tumor position during intensity-modulated radiotherapy (IMRT) plan optimization are usually accounted for by adding margins to a clinical target volume (CTV), or additionally, to organs at risk (OAR). The former approach usually favors target coverage over OAR protection, whereas the latter does not account for correlation in target and OAR movement. We investigate a new approach to incorporate systematic errors in tumor and organ position. The method models a distribution of systematic errors due to setup error and organ motion with displaced replicas of volumes of interest, each representing the patient geometry for a possible systematic error, and maximizes a score function that counts the number of replicas meeting dose or biological constraints for both CTV and OAR. Dose constraints are implemented by logistic functions of Niemierko's generalized model of equivalent uniform dose (EUD). The method is applied to prostate and nasopharynx IMRT plans, in which CTV and OAR each consists of five replicas, one representing no error (the position in the planning CT) and the other four discrete systematic setup displacements in one dimension with equal probability. The resulting IMRT plans are compared with those from two other EUD-based optimizations: a standard planning target volume (PTV) approach consisting of a single replica of each OAR in the planned position and a single PTV encompassing all CTV replicas, and a PTV-PRV approach consisting of a single PTV and a single planning risk volume (PRV) for each OAR encompassing all replicas. When systematic error is present, multiple-replica optimization provides better critical organ protection while maintaining similar target coverage compared with the PTV approach, and provides better CTV-to-OAR therapeutic ratio compared with the PTV-PRV instances where there is substantial PTV-PRV overlap. The method can be used for other systematic errors due to organ motion and deformation.

摘要

在调强放射治疗(IMRT)计划优化过程中,肿瘤位置的不确定性通常通过在临床靶区(CTV)上添加边界来考虑,或者另外在危及器官(OAR)上添加边界。前一种方法通常更注重靶区覆盖而非危及器官保护,而后一种方法没有考虑靶区和危及器官运动的相关性。我们研究了一种纳入肿瘤和器官位置系统误差的新方法。该方法通过感兴趣体积的位移复制品对由于摆位误差和器官运动引起的系统误差分布进行建模,每个复制品代表可能的系统误差下的患者几何结构,并最大化一个计分函数,该函数计算满足CTV和OAR剂量或生物学约束的复制品数量。剂量约束通过Niemierko等效均匀剂量(EUD)广义模型的逻辑函数来实现。该方法应用于前列腺和鼻咽癌IMRT计划,其中CTV和OAR各由五个复制品组成,一个代表无误差(计划CT中的位置),另外四个在一维上具有相等概率的离散系统摆位位移。将所得的IMRT计划与基于EUD的另外两种优化方法所得计划进行比较:一种是标准计划靶区(PTV)方法,由计划位置的每个OAR的单个复制品和包含所有CTV复制品的单个PTV组成;另一种是PTV-PRV方法,由单个PTV和每个OAR包含所有复制品的单个计划风险体积(PRV)组成。当存在系统误差时,与PTV方法相比,多复制品优化在保持相似靶区覆盖的同时能提供更好的关键器官保护,并且与存在大量PTV-PRV重叠的PTV-PRV实例相比,能提供更好的CTV与OAR治疗比。该方法可用于因器官运动和变形导致的其他系统误差。

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