期刊文献+

两种调强放疗计划设计模式的比较 被引量:10

Comparison of two planning modes for intensity-modulated radiation therapy
原文传递
导出
摘要 目的分步设计和直接子野优化是设计静态调强放疗计划的两种模式,本研究比较两种计划模式的特点。方法采用两种模式分别设计10例前列腺癌和10例鼻咽癌患者的调强计划。在射野方向和优化条件相同、最终目标函数值相近的前提下,比较两种计划设计模式下的剂量体积直方图(DVH)、靶区和危及器官的剂量、子野数、机器跳数(MU)、以及治疗时间。结果两种计划设计模式制定的计划均满足临床要求,剂量分布基本一致,DVH相似。与分步设计模式相比,直接子野优化模式使前列腺癌计划的子野数减少34%,MU减少23%,治疗时间缩短32%(即3.5 min);在鼻咽癌计划中,使总子野数减少59%,但MU增加9%,节省治疗时间49%(即13.8 min)。结论与分步模式相比,直接子野优化模式可显著减少子野数目,缩短治疗时间,降低机器磨损。但该模式MU的变化与治疗部位有关。 Objective To compare two planning modes, multiple-step (MS) and direct machine parameter optimization( DMPO )modes, for intensity-modulated radiation therapy. Methods Ten patients with prostate cancer and ten patients with nasopharyngeal carcinoma were alloted. Their plans were designed in beth modes with Pinnacle^3 treatment planning system (Philips/Adac). Under the condition that beam directions being the same, optimization parameters also the same, the final objective values having a difference of less than 1%, the dose volume histogram (DVH), number of segments, number of monitor units (MU), and treatment delivery time were compared between these two modes. Results The plans designed in both modes satisfied all clinical requirements. They both had similar dose distributions and similar DVH curves. Compared with the MS, DMPO reduced 34% of the segments by average and 23% MU by average for prostate cancer, and consequently shortened the treatment delivery time by 32% (i. e. ,3.5 minutes). For nasopharyngeal carcinoma, the number of segments decreased by 59% whereas the number of MU increased by 9%, and consequently the treatment delivery time decreased by 49% (i. e. , 13.8 minutes). Conclusions In comparison with multiple-step mode, direct machine parameter optimization(DMPO) mode reduces the number of segments, shortens the treatment delivery time, and relieves the wearing of multileaf collimator significantly. But the variation of multiple step monitor units ( MU ) for this mode depends on treatment site.
出处 《中华放射肿瘤学杂志》 CSCD 北大核心 2007年第2期147-151,共5页 Chinese Journal of Radiation Oncology
基金 首都医学发展科研基金的资助(项目编号:20023003)
关键词 调强放射疗法 直接子野优化 分步设计 前列腺肿瘤 鼻咽肿瘤 Intensity-modulated radiation therapy Direct machine parameter optimization Multiple-step mode Prostate neoplasms Nasopharyngeal neoplasms
  • 相关文献

参考文献10

  • 1Chui CS, Sasso TL, Spirou S. Dose calculation for photon beam with intensity modulation generated by dynamic jaw or multileaf collimator. Med Phys, 1994,21 : 1237-1244.
  • 2Webb S. Optimizing the planning of intensity-modulated radiotherapy. Phys Med Biol, 1994,39:2229-2246.
  • 3Webb S. Configuration option for intensity-modulated radiation therapy using multiple static field shaped by a multileaf collimator. Ⅱ :constraints and limitations on 2D modulation. Phys Med Biol, 1998,43 : 1481-1495.
  • 4Xia P, Verhey LJ. Multileaf collimator leaf sequencing algorithm for intensity modulated beams with multiple static segments. Med Phy,1998,2 : 1424-1434.
  • 5Shepard DM, Earl MA, Li XA, et al. Direct aperture optimization:a turnkey solution for step-and-shoot IMRT. Med Phys, 2002,29 :1007-1018.
  • 6Tervo J, Kolmonen P. A model for the control of a multileaf collimator in radiation therapy treatment planning. Inverse Probl,2000,16 :1875-1895.
  • 7贺晓东.一种基于射野孔径的调强优化技术[J].中华放射肿瘤学杂志,2006,15(4):316-318. 被引量:4
  • 8金大伟,戴建荣,李晔雄,余子豪.前列腺癌调强放疗的治疗方案比较[J].中华放射肿瘤学杂志,2005,14(1):47-51. 被引量:43
  • 9Jiang Z, Earl MA, Zhang GW, et al. An examination of the number of required apertures for step-and-shoot IMRT. Phys Med Biol,2005,50:5653-5663.
  • 10Earl MA, Shepard DM, Naqvi S, et al. Inverse planning for intensity-modulated arc therapy using direct aperture optimization. Phys Med Biol,2003,48 : 1075-1089.

二级参考文献17

  • 1Tervo J,Kolmonen P.A model for the control of a multileaf collimator in radiation therapy treatment planning.Inverse Probl,2000,16:1875-1895.
  • 2DeGersem W,Claus F,DeWagter C,et al.Leaf position optimization for step-and-shoot IMRT.Int J Radiat Oncol Biol Phys,2001,51:1371-1388.
  • 3Shepard DM,Earl MA,Li XA,et al.Direct aperture optimization:a turnkey solution for step-and-shoot IMRT.Med Phys,2002,29:1009-1018.
  • 4Li YJ,Yao J,Yao DZ.Genetic algorithm based deliverable segments optimization for static intensity-modulated radiotherapy.Phys Med Biol,2003,48:3353-3374.
  • 5Kirkpatrick S,Gelatt CDJr,Vecchi MP.Optimization by simulated annealing.Science,1993,220:671-680.
  • 6Wu X,Zhu Y.A maximum-entropy method for the planning of conformal radiotherapy.Med Phys,2002,28:2241-2246.
  • 7Wu X,Zhu Y.A mixed-encoding genetic algorithm with beam constraint for conformal radiotherapy treatment planning.Med Phys,2000,27:2508-2516.
  • 8Cotrutz C,Xing L.Segment-based dose optimization using a genetic algorithm.Phys Med Biol,2003,48:2987-2998.
  • 9Keall PJ,Joshi S,Mohan R.Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking.Med Phys,2005,32:942-951.
  • 10Brahme A.Individualizing cancer treatment:biological optimization models in treatment planning and delivery.IJROBP,2001,49:327-337.

共引文献45

同被引文献67

引证文献10

二级引证文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部