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本文引用的文献

1
Coverage optimized planning: probabilistic treatment planning based on dose coverage histogram criteria.覆盖优化计划:基于剂量覆盖直方图标准的概率治疗计划。
Med Phys. 2010 Feb;37(2):550-63. doi: 10.1118/1.3273063.
2
Comparisons of treatment optimization directly incorporating random patient setup uncertainty with a margin-based approach.直接纳入随机患者摆位不确定性的治疗优化与基于边缘的方法的比较。
Med Phys. 2009 Sep;36(9):3880-90. doi: 10.1118/1.3176940.
3
Coverage-based treatment planning: optimizing the IMRT PTV to meet a CTV coverage criterion.基于覆盖度的治疗计划:优化调强放疗计划靶区以满足临床靶区覆盖标准。
Med Phys. 2009 Mar;36(3):961-73. doi: 10.1118/1.3075772.
4
Evaluation of dosimetric margins in prostate IMRT treatment plans.前列腺调强放射治疗计划中剂量学边界的评估。
Med Phys. 2008 Feb;35(2):569-75. doi: 10.1118/1.2826558.
5
IMRT optimization including random and systematic geometric errors based on the expectation of TCP and NTCP.基于肿瘤控制概率(TCP)和正常组织并发症概率(NTCP)预期的调强放射治疗(IMRT)优化,包括随机和系统几何误差。
Med Phys. 2007 Sep;34(9):3544-55. doi: 10.1118/1.2760027.
6
Evaluation of clinical margins via simulation of patient setup errors in prostate IMRT treatment plans.通过模拟前列腺调强放疗治疗计划中的患者摆位误差来评估临床边界。
Med Phys. 2007 Jan;34(1):202-14. doi: 10.1118/1.2400842.
7
Inverse plan optimization accounting for random geometric uncertainties with a multiple instance geometry approximation (MIGA).采用多实例几何近似(MIGA)考虑随机几何不确定性的逆向计划优化。
Med Phys. 2006 May;33(5):1510-21. doi: 10.1118/1.2191016.
8
Iterative regularization in intensity-modulated radiation therapy optimization.调强放射治疗优化中的迭代正则化
Med Phys. 2006 Jan;33(1):225-34. doi: 10.1118/1.2148918.
9
Robust treatment planning for intensity modulated radiotherapy of prostate cancer based on coverage probabilities.基于覆盖概率的前列腺癌调强放射治疗稳健治疗计划
Radiother Oncol. 2006 Jan;78(1):27-35. doi: 10.1016/j.radonc.2005.09.005. Epub 2005 Oct 10.
10
A new method of incorporating systematic uncertainties in intensity-modulated radiotherapy optimization.一种在调强放射治疗优化中纳入系统不确定性的新方法。
Med Phys. 2005 Aug;32(8):2567-79. doi: 10.1118/1.1954161.

直接将系统患者摆位不确定性纳入优化的治疗方案比较与基于边界的方法。

Comparisons of treatment optimization directly incorporating systematic patient setup uncertainty with a margin-based approach.

机构信息

Department of Radiation Oncology, Virginia Commonwealth University, Richmond, VA 23298, USA.

出版信息

Med Phys. 2012 Feb;39(2):1102-11. doi: 10.1118/1.3679856.

DOI:10.1118/1.3679856
PMID:22320820
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3293365/
Abstract

PURPOSE

To develop a probabilistic treatment planning (PTP) method which is robust to systematic patient setup errors and to compare PTP plans with plans generated using a planning target volume (PTV) margin optimized to give the same target coverage probability as the PTP plan.

METHODS

Plans adhering to the RTOG-0126 protocol are developed for 28 prostate patients using PTP and margin-based planning. For PTP, an objective function that simultaneously considers multiple possible patient positions is developed. PTP plans are optimized using clinical target volume (CTV) structures and organ at risk (OAR) structures. The desired CTV coverage probability is 95%. Plans that cannot achieve a 95% CTV coverage probability are re-optimized with a desired CTV coverage probability reduced by 5% until the desired CTV coverage probability is achieved. Margin-based plans are created which achieve the same CTV coverage probability as the PTP plans by iterative adjustment of the CTV-to-PTV margin. Postoptimization, probabilistic dose-volume coverage metrics are used to compare the plans.

RESULTS

For equivalent target coverage probability, PTP plans significantly reduce coverage probability for rectum objectives (-17% for D(35) < 65 Gy, p = 0.0010; -23% for D(25) < 70 Gy, p < 0.0001; and -27% for D(15) < 75 Gy, p < 0.0001). Physician assessment indicates PTP plans are entirely preferred 71% of the time while margin-based plans are entirely preferred 7% of the time.

CONCLUSIONS

For plans having the same target coverage probability, PTP has potential to reduce rectal doses while maintaining CTV coverage probability. In blind comparisons, physicians prefer PTP plans over optimized margin plans.

摘要

目的

开发一种针对系统患者摆位误差具有稳健性的概率治疗计划(PTP)方法,并将 PTP 计划与通过优化计划靶区(PTV)边界以获得与 PTP 计划相同的靶区覆盖率概率的计划生成进行比较。

方法

为 28 例前列腺患者使用 PTP 和基于边界的计划制定方案。对于 PTP,开发了一个同时考虑多个可能患者位置的目标函数。使用临床靶区(CTV)结构和器官危及器官(OAR)结构对 PTP 计划进行优化。期望 CTV 覆盖率概率为 95%。对于不能达到 95%CTV 覆盖率概率的计划,通过将期望 CTV 覆盖率概率降低 5%进行重新优化,直到达到期望 CTV 覆盖率概率。通过迭代调整 CTV 至 PTV 边界来创建基于边界的计划,以实现与 PTP 计划相同的 CTV 覆盖率概率。优化后,使用概率剂量-体积覆盖指标来比较计划。

结果

对于等效的靶区覆盖率概率,PTP 计划显著降低了直肠目标的覆盖率概率(D(35)<65 Gy 时减少 17%,p=0.0010;D(25)<70 Gy 时减少 23%,p<0.0001;D(15)<75 Gy 时减少 27%,p<0.0001)。医生评估表明,71%的时间 PTP 计划完全优于 PTP 计划,而基于边界的计划完全优于 PTP 计划的时间为 7%。

结论

对于具有相同靶区覆盖率概率的计划,PTP 有潜力在维持 CTV 覆盖率概率的同时降低直肠剂量。在盲法比较中,医生更喜欢 PTP 计划而不是优化边界计划。