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Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction

机译:前列腺癌自动和手动IMRT优化的定量比较:DVH预测的好处

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A recent publication indicated that the patient anatomical feature (PAF) model was capable of predicting optimal objectives based on past experience. In this study, the benefits of IMRT optimization using PAF-predicted objectives as guidance for prostate were evaluated. Three different optimization methods were compared. 1) Expert Plan: Ten prostate cases (16 plans) were planned by an expert planner using conventional trial-and-error approach started with institutional modified OAR and PTV constraints. Optimization was stopped at 150 iterations and that plan was saved as Expert Plan. 2) Clinical Plan: The planner would keep working on the Expert Plan till he was satisfied with the dosimetric quality and the final plan was referred to as Clinical Plan. 3) PAF Plan: A third sets of plans for the same ten patients were generated fully automatically using predicted DVHs as guidance. The optimization was based on PAF-based predicted objectives, and was continued to 150 iterations without human interaction. D MAX and D 98 % for PTV, D MAX for femoral heads, D MAX , D10cc, D 25 % / D 17 % , and D 40 % for bladder/rectum were compared. Clinical Plans are further optimized with more iterations and adjustments, but in general provided limited dosimetric benefits over Expert Plans. PTV D 98 % agreed within 2.31% among Expert, Clinical, and PAF plans. Between Clinical and PAF Plans, differences for D MAX of PTV, bladder, and rectum were within 2.65%, 2.46%, and 2.20%, respectively. Bladder D10cc was higher for PAF but 1.54 % in general. Bladder D 25 % and D 40 % were lower for PAF, by up to 7.71% and 6.81%, respectively. Rectum D10cc, D 17 % , and D 40 % were 2.11%, 2.72%, and 0.27% lower for PAF, respectively. D MAX for femoral heads were comparable ( 35 Gy on average). Compared to Clinical Plan ( Primary + Boost ), the average optimization time for PAF plan was reduced by 5.2 min on average, with a maximum reduction of 7.1 min. Total numbers of MUs per plan for PAF Plans were lower than Clinical Plans, indicating better delivery efficiency. The PAF-guided planning process is capable of generating clinical-quality prostate IMRT plans with no human intervention. Compared to manual optimization, this automatic optimization increases planning and delivery efficiency, while maintaining plan quality.PACS numbers: 87.55.D-, 87.55.de, 87.53.Jw
机译:最近的出版物表明,患者解剖特征(PAF)模型能够根据过去的经验预测最佳目标。在这项研究中,评估了以PAF预测目标为指导的IMRT优化的益处。比较了三种不同的优化方法。 1)专家计划:专家计划人员使用常规的试错法,从机构修改的OAR和PTV约束开始,计划了10个前列腺病例(16个计划)。优化过程在150次迭代后停止,该计划被保存为专家计划。 2)临床计划:规划者将继续研究专家计划,直到他对剂量质量满意为止,最终计划被称为临床计划。 3)PAF计划:使用预测的DVH作为指导,完全自动生成了针对这10名患者的第三套计划。优化基于基于PAF的预测目标,并且无需人工干预即可继续进行150次迭代。比较了PTV的D MAX和D 98%,股骨头的D MAX,D MAX,D 10cc ,D 25%/ D 17%和D / 40%(膀胱/直肠)。通过更多的迭代和调整进一步优化了临床计划,但总体而言,与专家计划相比,其剂量学益处有限。在专家,临床和PAF计划中,PTV D 98%同意在2.31%之内。在临床计划和PAF计划之间,PTV,膀胱和直肠的D MAX差异分别在2.65%,2.46%和2.20%之内。 PAF的膀胱D 10cc 较高,但一般为1.54%。 PAF的膀胱D 25%和D 40%分别降低了7.71%和6.81%。 PAF的直肠D 10cc ,D 17%和D 40%分别降低了2.11%,2.72%和0.27%。股骨头的D MAX可比(平均35 Gy)。与临床计划(Primary + Boost)相比,PAF计划的平均优化时间平均减少了5.2分钟,最大减少了7.1分钟。 PAF计划的每个计划的MU总数低于临床计划,表明交付效率更高。 PAF指导的计划过程无需人工干预即可生成临床质量的前列腺IMRT计划。与手动优化相比,此自动优化可提高计划和交付效率,同时保持计划质量。PACS编号:87.55.D-,87.55.de,87.53.Jw

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