论文标题
宫颈癌近距离放射治疗计划的双目标进化优化的自适应目标构型
Adaptive Objective Configuration in Bi-Objective Evolutionary Optimization for Cervical Cancer Brachytherapy Treatment Planning
论文作者
论文摘要
多目标实价基因池最佳混合进化算法（MO-RV-GOMEA）已被证明有效地有效地解决了现实世界中的问题。一个典型的例子是优化前列腺癌近距离治疗的治疗计划，这是一种内部辐射治疗的形式，基本方案中同样重要的临床目标被分为两个目标，并在双向目标上进行了优化。最近将这种MO-RV-GOMEA的使用成功引入了临床实践。近距离放射治疗也可以在治疗宫颈癌中发挥重要作用。但是，使用相同的方法优化治疗计划通常不会立即导致临床期望的结果。一致的是，医学专家指出，他们使用了超出子宫颈基础协议以外的其他目标。此外，这些目标具有不同的优先级，可以特定于患者进行调整。因此，我们提出了一种新型的自适应客观配置方法，将其与Mo-RV-Gomea一起使用，以便我们可以实现这种性质的其他目标。基于仅使用基本协议的结果，与医学专家协商，我们配置了关键的其他目标。我们展示了新方法在10个患者情况下如何正确考虑其他目标，如何实现预期的结果。因此，在8/10案例中，医学专家更喜欢新方法产生的计划。
The Multi-Objective Real-Valued Gene-pool Optimal Mixing Evolutionary Algorithm (MO-RV-GOMEA) has been proven effective and efficient in solving real-world problems. A prime example is optimizing treatment plans for prostate cancer brachytherapy, an internal form of radiation treatment, for which equally important clinical aims from a base protocol are grouped into two objectives and bi-objectively optimized. This use of MO-RV-GOMEA was recently successfully introduced into clinical practice. Brachytherapy can also play an important role in treating cervical cancer. However, using the same approach to optimize treatment plans often does not immediately lead to clinically desirable results. Concordantly, medical experts indicate that they use additional aims beyond the cervix base protocol. Moreover, these aims have different priorities and can be patient-specifically adjusted. For this reason, we propose a novel adaptive objective configuration method to use with MO-RV-GOMEA so that we can accommodate additional aims of this nature. Based on results using only the base protocol, in consultation with medical experts, we configured key additional aims. We show how, for 10 patient cases, the new approach achieves the intended result, properly taking into account the additional aims. Consequently, plans resulting from the new approach are preferred by medical specialists in 8/10 cases.
