Roach Dale, Wortel Geert, Ochoa Cesar, Jensen Henrik R, Damen Eugene, Vial Philip, Janssen Tomas, Hansen Christian Rønn
Faculty of Medicine, University of New South Wales, Sydney, Australia.
Ingham Institute for Applied Medical Research, Sydney, Australia.
Phys Imaging Radiat Oncol. 2019 Apr 24;10:7-13. doi: 10.1016/j.phro.2019.04.007. eCollection 2019 Apr.
Automated configurations are increasingly utilised for radiotherapy treatment planning. This study investigates whether automated treatment planning configurations are adaptable across clinics with different treatment planning protocols for prostate radiotherapy.
The study comprised three participating centres, each with pre-existing locally developed prostate AutoPlanning configurations using the Pinnacle® treatment planning system. Using a three-patient training dataset circulated from each centre, centres modified local prostate configurations to generate protocol compliant treatment plans for the other two centres. Each centre applied modified configurations on validation datasets distributed from each centre (10 patients from 3 centres). Plan quality was assessed through DVH analysis and protocol compliance.
All treatment plans were clinically acceptable, based off relevant treatment protocol. Automated planning configurations from Centre's A and B recorded 2 and 18 constraint and high priority deviations respectively. Centre C configurations recorded no high priority deviations. Centre A configurations produced treatment plans with superior dose conformity across all patient PTVs (mean = 1.14) compared with Centre's B and C (mean = 1.24 and 1.22). Dose homogeneity was consistent between all centre's configurations (mean = 0.083, 0.077, and 0.083 respectively).
This study demonstrates that automated treatment planning configurations can be shared and implemented across multiple centres with simple adaptations to local protocols.
自动配置在放射治疗计划中越来越多地被使用。本研究调查了自动治疗计划配置是否能在采用不同前列腺放疗治疗计划方案的各诊所之间相互适应。
该研究包括三个参与中心，每个中心都预先使用Pinnacle®治疗计划系统开发了本地的前列腺自动计划配置。利用从每个中心分发的一个三患者训练数据集，各中心修改本地前列腺配置，为其他两个中心生成符合方案的治疗计划。每个中心将修改后的配置应用于从每个中心分发的验证数据集（来自3个中心的10名患者）。通过剂量体积直方图（DVH）分析和方案合规性评估计划质量。
根据相关治疗方案，所有治疗计划在临床上均可接受。中心A和中心B的自动计划配置分别记录了2处和18处约束及高优先级偏差。中心C的配置未记录高优先级偏差。与中心B和中心C（平均值分别为1.24和1.22）相比，中心A的配置在所有患者的计划靶体积（PTV）上产生的治疗计划具有更好的剂量适形性（平均值 = 1.14）。所有中心配置之间的剂量均匀性一致（平均值分别为0.083、0.077和0.083）。
本研究表明，自动治疗计划配置可以在多个中心共享和实施，只需对本地方案进行简单调整。
