University of Turin, Department of Oncology, Turin, Italy; School of Bioengineering and Medical-Surgical Sciences, Politecnico di Torino, Turin, Italy.
Department of Radiation Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Radiother Oncol. 2020 Jul;148:126-132. doi: 10.1016/j.radonc.2020.04.020. Epub 2020 Apr 21.
The first clinical genetic autoplanning algorithm (Genetic Planning Solution, GPS) was validated in ten radiotherapy centres for prostate cancer VMAT by comparison with manual planning (Manual).
Although there were large differences among centres in planning protocol, GPS was tuned with the data of a single centre and then applied everywhere without any centre-specific fine-tuning. For each centre, ten Manual plans were compared with autoGPS plans, considering dosimetric plan parameters and the Clinical Blind Score (CBS) resulting from blind clinician plan comparisons. AutoGPS plans were used as is, i.e. there was no patient-specific fine-tuning.
For nine centres, all ten plans were clinically acceptable. In the remaining centre, only one plan was acceptable. For the 91% acceptable plans, differences between Manual and AutoGPS in target coverage were negligible. OAR doses were significantly lower in AutoGPS plans (p < 0.05); rectum D and D were reduced by 8.1% and 17.9%, bladder D and D by 5.9% and 10.3%. According to clinicians, 69% of the acceptable AutoGPS plans were superior to the corresponding Manual plan. In case of preferred Manual plans (31%), perceived advantages compared to autoGPS were minor. QA measurements demonstrated that autoGPS plans were deliverable. A quick configuration adjustment in the centre with unacceptable plans rendered 100% of plans acceptable.
A novel, clinically applied genetic autoplanning algorithm was validated in 10 centres for in total 100 prostate cancer patients. High quality plans could be generated at different centres without centre-specific algorithm tuning.
通过与手动规划(Manual)比较,对十个前列腺癌 VMAT 放疗中心的首个临床遗传自动规划算法(Genetic Planning Solution,GPS)进行验证。
尽管各中心在规划方案上存在较大差异,但 GPS 是根据单一中心的数据进行调整的,然后无需进行任何特定中心的微调即可在各处应用。对于每个中心,将手动规划(Manual)的十份计划与自动 GPS 计划进行比较,考虑剂量学计划参数和盲法临床医生计划比较得出的临床盲法评分(CBS)。自动 GPS 计划是直接使用的,即没有进行患者特异性的微调。
对于九个中心,所有十份计划均具有临床可接受性。在剩下的一个中心中,只有一份计划是可接受的。对于 91%可接受的计划,手动和自动 GPS 之间在靶区覆盖方面的差异可以忽略不计。OAR 剂量明显更低(p<0.05);直肠 D 和 D 分别降低了 8.1%和 17.9%,膀胱 D 和 D 分别降低了 5.9%和 10.3%。根据临床医生的意见,可接受的自动 GPS 计划中有 69%优于相应的手动计划。对于首选手动计划(31%),与自动 GPS 相比,感知到的优势较小。质量保证(QA)测量表明自动 GPS 计划可交付使用。在不可接受计划的中心进行快速配置调整后,所有计划都达到了可接受的水平。
在 10 个中心的总共 100 例前列腺癌患者中,验证了一种新颖的、临床应用的遗传自动规划算法。在不同的中心可以生成高质量的计划,而无需特定中心的算法调整。