Department of Radiation Oncology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Department of Radiation Oncology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Straße 22, 81675, Munich, Germany.
Radiat Oncol. 2017 Nov 6;12(1):168. doi: 10.1186/s13014-017-0903-z.
The purpose of this study was to demonstrate the feasibility of physician driven planning in intensity modulated radiotherapy (IMRT) with a multicriteria optimization (MCO) treatment planning system and template based plan optimization. Exploiting the full planning potential of MCO navigation, this alternative planning approach intends to improve planning efficiency and individual plan quality.
Planning was retrospectively performed on 12 brain tumor and 10 post-prostatectomy prostate patients previously treated with MCO-IMRT. For each patient, physicians were provided with a template-based generated Pareto surface of optimal plans to navigate, using the beam angles from the original clinical plans. We compared physician generated plans to clinically delivered plans (created by dosimetrists) in terms of dosimetric differences, physician preferences and planning times.
Plan qualities were similar, however physician generated and clinical plans differed in the prioritization of clinical goals. Physician derived prostate plans showed significantly better sparing of the high dose rectum and bladder regions (p(D1) < 0.05; D1: dose received by 1% of the corresponding structure). Physicians' brain tumor plans indicated higher doses for targets and brainstem (p(D1) < 0.05). Within blinded plan comparisons physicians preferred the clinical plans more often (brain: 6:3 out of 12, prostate: 2:6 out of 10) (not statistically significant). While times of physician involvement were comparable for prostate planning, the new workflow reduced the average involved time for brain cases by 30%. Planner times were reduced for all cases. Subjective benefits, such as a better understanding of planning situations, were observed by clinicians through the insight into plan optimization and experiencing dosimetric trade-offs.
We introduce physician driven planning with MCO for brain and prostate tumors as a feasible planning workflow. The proposed approach standardizes the planning process by utilizing site specific templates and integrates physicians more tightly into treatment planning. Physicians' navigated plan qualities were comparable to the clinical plans. Given the reduction of planning time of the planner and the equal or lower planning time of physicians, this approach has the potential to improve departmental efficiencies.
本研究旨在展示一种基于多准则优化(MCO)治疗计划系统和基于模板的计划优化的医师驱动规划在强度调制放疗(IMRT)中的可行性。利用 MCO 导航的全部规划潜力,这种替代规划方法旨在提高规划效率和个体计划质量。
对 12 例脑肿瘤和 10 例前列腺癌根治术后前列腺患者进行回顾性计划。对于每位患者,医师都提供了一个基于模板的最佳计划 Pareto 表面,以便使用原始临床计划的射束角度进行导航。我们比较了医师生成的计划与临床交付的计划(由剂量师创建)在剂量差异、医师偏好和规划时间方面的差异。
计划质量相似,但医师生成的和临床计划在临床目标的优先级上有所不同。医师生成的前列腺计划在高剂量直肠和膀胱区域的保护方面明显更好(p(D1) < 0.05;D1:相应结构的 1%所接受的剂量)。医师的脑肿瘤计划表明靶区和脑干的剂量更高(p(D1) < 0.05)。在盲法计划比较中,医师更倾向于选择临床计划(脑:12 例中有 6 例对 3 例;前列腺:10 例中有 2 例对 6 例)(无统计学意义)。虽然前列腺计划中医师参与的时间相当,但新的工作流程将脑病例的平均参与时间减少了 30%。所有病例的计划时间都减少了。临床医生通过深入了解计划优化和体验剂量权衡,观察到更好地理解计划情况等主观收益。
我们为脑肿瘤和前列腺肿瘤引入了基于 MCO 的医师驱动规划,作为一种可行的规划工作流程。该方法通过利用特定于站点的模板标准化规划过程,并将医师更紧密地纳入治疗计划中。医师导航的计划质量与临床计划相当。考虑到规划师规划时间的减少和医师规划时间的相等或减少,这种方法有可能提高部门效率。