Thieke Christian, Küfer Karl-Heinz, Monz Michael, Scherrer Alexander, Alonso Fernando, Oelfke Uwe, Huber Peter E, Debus Jürgen, Bortfeld Thomas
Department of Radiation Oncology, Deutsches Krebsforschungszentrum, Heidelberg, Germany.
Radiother Oncol. 2007 Nov;85(2):292-8. doi: 10.1016/j.radonc.2007.06.020. Epub 2007 Sep 24.
Currently, inverse planning for intensity-modulated radiotherapy (IMRT) can be a time-consuming trial and error process. This is because many planning objectives are inherently contradictory and cannot reach their individual optimum all at the same time. Therefore in clinical practice the potential of IMRT cannot be fully exploited for all patients. Multicriteria (multiobjective) optimization combined with interactive plan navigation is a promising approach to overcome these problems.
We developed a new inverse planning system called "Multicriteria Interactive Radiotherapy Assistant (MIRA)". The optimization result is a database of patient specific, Pareto-optimal plan proposals. The database is explored with an intuitive user interface that utilizes both a new interactive element for plan navigation and familiar dose visualizations in form of DVH and isodose projections. Two clinical test cases, one paraspinal meningioma case and one prostate case, were optimized using MIRA and compared with the clinically approved planning program KonRad.
Generating the databases required no user interaction and took approx. 2-3h per case. The interactive exploration required only a few minutes until the best plan was identified, resulting in a significant reduction of human planning time. The achievable plan quality was comparable to KonRad with the additional benefit of having plan alternatives at hand to perform a sensitivity analysis or to decide for a different clinical compromise.
The MIRA system provides a complete database and interactive exploration of the solution space in real time. Hence, it is ideally suited for the inherently multicriterial problem of inverse IMRT treatment planning.
目前,调强放射治疗(IMRT)的逆向计划可能是一个耗时的反复试验过程。这是因为许多计划目标本质上相互矛盾,无法同时达到各自的最优状态。因此,在临床实践中,IMRT的潜力无法在所有患者中得到充分发挥。多标准(多目标)优化结合交互式计划导航是克服这些问题的一种有前景的方法。
我们开发了一种名为“多标准交互式放射治疗助手(MIRA)”的新逆向计划系统。优化结果是一个针对患者的帕累托最优计划建议数据库。通过直观的用户界面探索该数据库界面同时利用了用于计划导航的新交互元素以及DVH和等剂量投影形式的熟悉剂量可视化。使用MIRA对两个临床测试病例进行了优化其中一个是椎旁脑膜瘤病例另一个是前列腺病例并与临床批准的计划程序KonRad进行了比较。
生成数据库无需用户交互每个病例大约需要2 - 3小时。交互式探索仅需几分钟即可确定最佳计划从而显著减少了人工计划时间。可实现的计划质量与KonRad相当此外还能提供计划备选方案以便进行敏感性分析或决定不同的临床折衷方案。
MIRA系统实时提供完整的数据库并对解决方案空间进行交互式探索。因此它非常适合IMRT逆向治疗计划这一本质上的多标准问题。