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局部区域性乳腺癌放射治疗中应用于新 Halcyon©O 型环直线加速器的常规容积调强弧形治疗知识型计划模型的评估。

Assessment of a conventional volumetric-modulated arc therapy knowledge-based planning model applied to the new Halcyon© O-ring linac in locoregional breast cancer radiotherapy.

机构信息

Institut Curie, Radiation Oncology Department, 26 rue d'Ulm, Paris 75005, France.

Institut Curie, Radiation Oncology Department, 26 rue d'Ulm, Paris 75005, France.

出版信息

Phys Med. 2021 Jun;86:32-43. doi: 10.1016/j.ejmp.2021.05.022. Epub 2021 May 26.

DOI:10.1016/j.ejmp.2021.05.022
PMID:34051551
Abstract

INTRODUCTION

The aim of this study was to evaluate the performance of a knowledge-based planning (KBP) model for breast cancer trained on plans performed on a conventional linac with 6 MV FF (flattening filter) beams and volumetric-modulated arc therapy (VMAT) for plans performed on the new jawless Halcyon© system with 6 MV FFF (flattening filter-free) beams.

MATERIALS AND METHODS

Based on the RapidPlan© (RP) KBP optimization engine, a DVH Estimation Model was first trained using 56 VMAT left-sided breast cancer treatment plans performed on a conventional linac, and validated on another 20 similar cases (without manual intervention). To determine the capacity of the model for Halcyon©, an additional cohort of 20 left-sided breast cancer plans was generated with RP and analyzed for both TrueBeam© and Halcyon© machines. Plan qualities between manual vs RP (followed by manual intervention) Halcyon© plans set were compared qualitatively by blinded review by radiation oncologists for 10 new independent plans.

RESULTS

Halcyon© plans generated with the VMAT model trained with conventional linac plans showed comparable target dose distribution compared to TrueBeam© plans. Organ sparingwas comparable between the 2 devices with a slight decrease in heart dose for Halcyon© plans. Nine out of ten automatically generated Halcyon© plans were preferentially chosen by the radiation oncologists over the manually generated Halcyon© plans.

CONCLUSION

A VMAT KBP model driven by plans performed on a conventional linac with 6 MV FF beams provides high quality plans performed with 6 MV FFF beams on the new Halcyon© linac.

摘要

简介

本研究旨在评估一种基于知识的计划(KBP)模型在乳腺癌治疗计划中的表现,该模型是基于常规直线加速器上的 6 MV FF(均整滤过)束容积调制弧形治疗(VMAT)计划进行训练的,而计划则是在新的无托架 Halcyon©系统上使用 6 MV FFF(无均整滤过)束进行的。

材料与方法

基于 RapidPlan©(RP)KBP 优化引擎,首先使用在常规直线加速器上进行的 56 例左侧乳腺癌 VMAT 治疗计划对 DVH 估算模型进行了训练,并在另外 20 例类似病例中进行了验证(无需手动干预)。为了确定该模型对 Halcyon©的适用性,使用 RP 生成了另外 20 例左侧乳腺癌计划,并分别在 TrueBeam©和 Halcyon©机器上进行了分析。通过盲法审查,由放射肿瘤学家对 10 例新的独立计划进行了质量比较,比较了手动与 RP(随后进行手动干预)Halcyon©计划集之间的计划质量。

结果

使用经过常规直线加速器计划训练的 VMAT 模型生成的 Halcyon©计划显示出与 TrueBeam©计划相当的靶区剂量分布。两种设备之间的器官保护相当,Halcyon©计划的心脏剂量略有下降。在自动生成的 Halcyon©计划中,有 9 例被放射肿瘤学家优先选择,超过了手动生成的 Halcyon©计划。

结论

由常规直线加速器上的 6 MV FF 束计划驱动的 VMAT KBP 模型可在新的 Halcyon©直线加速器上提供高质量的 6 MV FFF 束计划。

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