蒙卡剂量算法(XVMC)在胸部肿瘤调强放射治疗计划设计中的临床价值

Implementing XVMC Dose Calculation Algorithm in IMRT Plan in Chest Cases

目的:比较蒙卡剂量算法(Monte Carlo)和笔形束剂量算法(Finite Site Pencil Beam)在胸部肿瘤调强放射治疗计划设计中对计划结果的影响。方法:在MONACO(CMS)治疗计划系统中,分别使用其内嵌的光子蒙卡(XVMC)剂量算法和笔形束剂量算法,对5例胸部肿瘤病例比较其靶区和危及器官的剂量。结果:蒙卡方法得到的结果和笔形束算法的结果相差较大。结论:对于组织密度差异较大的胸部肿瘤病例,特别是使用调强放射治疗技术时,用XVMC剂量算法评估放射治疗计划更准确。

Objective：To compare the difference between Monte Carlo dose calculation algorithm and Finite Site Pencil Beam dose calculation algorithm in chest cases using IMRT delivery.Methods：Totally 5 chest cases were chosen and both Monte Carlo algorithm and Finite Site Pencil Beam algorithm were used to evaluate dose in planning target volume（PTV） and organ at risk（OAR）.Results：The difference between Monte Carlo algorithm and Finite Site Pencil Beam algorithm was significant.Conclusions：For those cases which have large difference in density,especially for IMRT planning,XVMC can give more pre-cise result.