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FRoG——用于CNAO质子和碳离子束临床研究的新型计算引擎。

FRoG-A New Calculation Engine for Clinical Investigations with Proton and Carbon Ion Beams at CNAO.

作者信息

Choi KyungDon, Mein Stewart B, Kopp Benedikt, Magro Giuseppe, Molinelli Silvia, Ciocca Mario, Mairani Andrea

机构信息

Centro Nazionale di Adroterapia Oncologica, 27100 Pavia, Italy.

Department of Physics, Pavia University, 27100 Pavia, Italy.

出版信息

Cancers (Basel). 2018 Oct 23;10(11):395. doi: 10.3390/cancers10110395.

Abstract

A fast and accurate dose calculation engine for hadrontherapy is critical for both routine clinical and advanced research applications. FRoG is a graphics processing unit (GPU)-based forward calculation tool developed at CNAO (Centro Nazionale di Adroterapia Oncologica) and at HIT (Heidelberg Ion Beam Therapy Center) for fast and accurate calculation of both physical and biological dose. FRoG calculation engine adopts a triple Gaussian parameterization for the description of the lateral dose distribution. FRoG provides dose, dose-averaged linear energy transfer, and biological dose-maps, -profiles, and -volume-histograms. For the benchmark of the FRoG calculation engine, using the clinical settings available at CNAO, spread-out Bragg peaks (SOBPs) and patient cases for both proton and carbon ion beams have been calculated and compared against FLUKA Monte Carlo (MC) predictions. In addition, FRoG patient-specific quality assurance (QA) has been performed for twenty-five proton and carbon ion fields. As a result, for protons, biological dose values, using a relative biological effectiveness (RBE) of 1.1, agree on average with MC within ~1% for both SOBPs and patient plans. For carbon ions, RBE-weighted dose (D) agreement against FLUKA is within ~2.5% for the studied SOBPs and patient plans. Both MKM (Microdosimetric Kinetic Model) and LEM (Local Effect Model) D are implemented and tested in FRoG to support the NIRS (National Institute of Radiological Sciences)-based to LEM-based biological dose conversion. FRoG matched the measured QA dosimetric data within ~2.0% for both particle species. The typical calculation times for patients ranged from roughly 1 to 4 min for proton beams and 3 to 6 min for carbon ions on a NVIDIA GeForce GTX 1080 Ti. This works demonstrates FRoG's potential to bolster clinical activity with proton and carbon ion beams at CNAO.

摘要

用于强子治疗的快速准确剂量计算引擎对于常规临床应用和高级研究应用都至关重要。FRoG是一种基于图形处理单元(GPU)的正向计算工具,由CNAO(国家肿瘤质子治疗中心)和HIT(海德堡离子束治疗中心)开发,用于快速准确地计算物理剂量和生物剂量。FRoG计算引擎采用三重高斯参数化来描述横向剂量分布。FRoG可提供剂量、剂量平均线能量转移以及生物剂量图、剂量剖面和剂量体积直方图。为了对FRoG计算引擎进行基准测试,利用CNAO现有的临床设置,对质子和碳离子束的扩展布拉格峰(SOBP)及患者病例进行了计算,并与FLUKA蒙特卡罗(MC)预测结果进行了比较。此外,还对25个质子和碳离子射野进行了FRoG患者特定质量保证(QA)。结果表明,对于质子,使用相对生物效应(RBE)为1.1时,SOBP和患者计划的生物剂量值平均与MC的一致性在约1%以内。对于碳离子,在所研究的SOBP和患者计划中,与FLUKA的RBE加权剂量(D)一致性在约2.5%以内。FRoG中同时实现并测试了微剂量动力学模型(MKM)和局部效应模型(LEM)的D,以支持基于日本国立放射科学研究所(NIRS)到基于LEM的生物剂量转换。对于两种粒子,FRoG与测量的QA剂量学数据的匹配度在约2.0%以内。在NVIDIA GeForce GTX 1080 Ti上,质子束患者的典型计算时间约为1至4分钟,碳离子束患者的典型计算时间约为3至6分钟。这项工作证明了FRoG在CNAO增强质子和碳离子束临床应用的潜力。

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