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Can automated treatment plans gain traction in the clinic?

机译:自动化治疗计划能否在临床上获得成功?

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摘要

Recently, there has been an increased interest in the feasibility and impact of automation within the field of medical dosimetry. While there have been many commercialized solutions for automatic treatment planning, the use of an application programming interface to achieve complete plan generation for specific treatment sites is a process only recently available for certain commercial vendors. Automatic plan generation for 20 prostate patients was achieved via a stand‐alone automated planning script that accessed a knowledge‐based planning solution. Differences between the auto plans and clinically treated, baseline plans were analyzed and compared. The planning script successfully initialized a treatment plan, accessed the knowledge‐based planning model, optimized the plan, assessed for constraint compliance, and normalized the treatment plan for maximal coverage while meeting constraints. Compared to baseline plans, the auto‐generated plans showed significantly improved rectal sparing with similar coverage for targets and comparable doses to the remaining organs‐at‐risk. Utilization of a script, with its associated time saving and integrated process management, can quickly and automatically generate an acceptable clinical treatment plan for prostate cancer with either improved or similar results compared to a manually created plan.
机译:近来,人们对医学剂量测定领域中自动化的可行性和影响越来越感兴趣。尽管有许多用于自动治疗计划的商业化解决方案,但是使用应用程序编程接口来实现针对特定治疗部位的完整计划生成只是最近才可用于某些商业供应商的过程。通过访问基于知识的计划解决方案的独立自动计划脚本,可以为20名前列腺患者自动生成计划。分析并比较了自动计划和临床治疗的基线计划之间的差异。计划脚本成功地初始化了治疗计划,访问了基于知识的计划模型,优化了计划,评估了约束的依从性,并在满足约束的同时对治疗计划进行了标准化以实现最大覆盖率。与基线计划相比,自动生成的计划显示了显着改善的直肠保留,靶标覆盖率相似,并且与其他处于危险中的器官剂量相当。利用脚本及其相关的时间节省和集成的过程管理,可以快速,自动地生成可接受的前列腺癌临床治疗计划,与手动创建的计划相比,结果可以得到改善或相似。

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