Reducing variability among treatment machines using knowledge-based planning for head and neck, pancreatic, and rectal cancer,Journal of Applied Clinical Medical Physics

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Reducing variability among treatment machines using knowledge-based planning for head and neck, pancreatic, and rectal cancer
Journal of Applied Clinical Medical Physics ( IF 2.0 ) Pub Date : 2021-06-20 , DOI: 10.1002/acm2.13316
Hideaki Hirashima ₁ , Mitsuhiro Nakamura _{1,

2} , Nobutaka Mukumoto ₁ , Ryo Ashida ₁ , Kota Fujii ₁ , Kiyonao Nakamura ₁ , Aya Nakajima ₁ , Katsuyuki Sakanaka ₁ , Michio Yoshimura ₁ , Takashi Mizowaki ₁

Affiliation

This study aimed to assess dosimetric indices of RapidPlan model-based plans for different energies (6, 8, 10, and 15 MV; 6- and 10-MV flattening filter-free), multileaf collimator (MLC) types (Millennium 120, High Definition 120, dual-layer MLC), and disease sites (head and neck, pancreatic, and rectal cancer) and compare these parameters with those of clinical plans.

中文翻译：

使用基于知识的头颈癌、胰腺癌和直肠癌规划减少治疗机器之间的变异性

本研究旨在评估针对不同能量（6、8、10 和 15 MV；6 和 10 MV 平坦无过滤器）、多叶准直器 (MLC) 类型（Millennium 120，高定义 120，双层 MLC）和疾病部位（头颈癌、胰腺癌和直肠癌），并将这些参数与临床计划的参数进行比较。

更新日期：2021-07-21

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