Comparative analysis of two dose-volume histogram prediction tools for treatment planning in volumetric-modulated arc therapy: A multi-planner study

被引:0
|
作者
Sasaki, Motoharu [1 ]
Nakaguchi, Yuji [2 ]
Kamomae, Takeshi [3 ,4 ]
Tsuzuki, Akira [5 ]
Sawada, Soma [6 ]
Shibuya, Koki [6 ]
Oita, Masataka [1 ,7 ]
Tominaga, Masahide
Tominaga, Yuki [8 ]
Ikushima, Hitoshi [1 ]
机构
[1] Tokushima Univ, Grad Sch Biomed Sci, Tokushima, Tokushima 7708503, Japan
[2] Toyo Med Co Ltd, Chiyodaku, Tokyo 1620813, Japan
[3] Nagoya Univ, Radioisotope Res Ctr, Nagoya, Aichi 4648602, Japan
[4] Nagoya Univ, Grad Sch Med, Dept Radiol, Nagoya, Aichi 4668550, Japan
[5] Kakogawa Cent City Hosp, Dept Radiol Technol, Kakogawa, Hyogo 6758611, Japan
[6] Tokushima Univ, Sch Hlth Sci, Tokushima, Tokushima 7708503, Japan
[7] Okayama Univ, Fac Interdisciplinary Sci & Engn Hlth Syst, Okayama, Japan
[8] Osaka Proton Therapy Clin, Med Co Hakuhokai, Dept Radiotherapy, Osaka 5540022, Japan
关键词
Volumetric-modulated arc therapy; Dose-volume histogram; RapidPlan; PlanIQ; QUALITY; IMRT;
D O I
10.1016/j.meddos.2024.02.002
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The increase in high-precision radiation therapy, particularly volumetric-modulated arc therapy (VMAT), has increased patient numbers and expanded treatment sites. However, a significant challenge in VMAT treatment planning is the inconsistent plan quality among different planners and facilities. This study explored the use of dose-volume histogram (DVH) prediction tools to address these disparities, specifically focusing on RapidPlan (Varian Medical Systems) and PlanIQ (Sun Nuclear). RapidPlan predicts achievable DVHs and automatically generates optimization objectives. While it has demonstrated organ-at-risk (OAR) dose reduction benefits, the quality of the plan used to build its model significantly affects its predictions. On the other hand, PlanIQ offers ease of use and does not require prior model-building. Five planners participated in this study, each creating two treatment plans: one referencing RapidPlan and the other using PlanIQ. The planners had the freedom to adjust parameters while referencing the DVH predictions. The plans were evaluated using "Plan Quality Metric" (PQM) scores to assess the planning target volume excluding the rectum and OARs. The results revealed that RapidPlan-referenced plans often outperformed PlanIQ-based plans, with less interplanner variability. PlanIQ played a pivotal role in the construction of the RapidPlan model. This study is the first to compare plans generated by multiple planners using both tools. This study provides insights into optimizing treatment planning by considering the characteristics of both RapidPlan and PlanIQ. (c) 2024 American Association of Medical Dosimetrists. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:271 / 275
页数:5
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