Automatic one-click planning for hippocampal-avoidance whole-brain irradiation in RayStation

Okada, Hiroaki; Ito, Makoto; Minami, Yoshitaka; Nakamura, Kazuhiko; Asai, Ayumi; Adachi, Sou; Takeuchi, Arisa; Oshima, Yukihiko; Suzuki, Kôjiro

doi:10.1016/j.meddos.2021.09.003

Cited by 5 publications

(1 citation statement)

References 16 publications

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“…Although many studies on automated planning have been reported, such studies based on Raystation are still rare, and the previous automated planning approach studies for Raystation were limited to a speci c anatomical site cancer or a single treatment technique, such as IMRT or VMAT [23][24][25]. An automated planning approach for Raystation feasible for multi-anatomical sites caner and multi-treatment techniques is still missing, and we argue that a well-designed automated planning algorithm can achieve this goal and together with increase of plan quality and e ciency.…”

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confidence: 99%

A Novel Automated Planning Approach for Multi-Anatomical Sites Cancer in Raystation Treatment Planning System

Lou

Mao

et al. 2022

Preprint

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Background Previous automated planning approach studies for Raystation were limited to a specific anatomical site cancer or a single treatment technique. The purpose of this study is to develop an automated planning approach in Raystation and evaluate its feasibility and performance in multiple clinical application scenarios. Methods Sixty patients, including 20 nasopharyngeal carcinoma (NPC), 20 esophageal carcinoma (ESCA) and 20 rectal cancer (RECA), who were treated with volumetric-modulated arc therapy for NPC and RECA and intensity-modulated radiotherapy for ESCA, were retrospectively enrolled in this study. An automated planning approach (Ruiplan), consisting of five key modules: prescription and OAR identification module, auxiliary structure generation module, dose prediction and objectives setting module, beam configuration module, plan fine-turning module, was developed by using the scripting platform of Raystation. Radiotherapy plans were re-generated both automatically by using Ruiplan and manually by experienced physicists. Target coverage, organs at risk (OARs) sparing, and planning efficiency of the automated plans (APs) and manual plans (MPs) were statistically compared using paired student t-test. Results For target coverage, APs yielded superior dose homogeneity in NPC and RECA, compared to MPs, while maintaining similar dose conformity for all studied anatomical sites. For OARs sparing, APs led to significant improvement in most OARs sparing, compared to MPs. The max dose of the lens, eyes and optic nerves in NPC, the V20 and mean dose of lungs, the V30, V40 and mean dose of heart in ESCA, the V30, V50 of bowel and V30 of femoral heads in CRCA were significantly decreased on average in APs compared to MPs (P < 0.05). The average planning time required for APs was reduced by more than 43% compared with MPs. Despite the increased monitor units (MUs) for NPC and RECA in APs, the beam-on time of APs and MPs had no statistical difference. Both the MUs and beam-on time of APs were significantly lower than that of MPs in ESCA (P < 0.05). Conclusions The developed Ruiplan was capable of generating high-quality treatment plans that were comparable to the MPs created by experienced physicists, in a variety of treatment techniques and cancer sites studied.

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confidence: 99%