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Prediction of the minimum spacer thickness required for definitive radiotherapy with carbon ions and photons for pelvic tumors: an in silico planning study using virtual spacers

机译：预测用碳离子和骨盆肿瘤的光子的最终放射治疗所需的最小间隔厚度：使用虚拟垫片的硅规划研究中

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Masayoshi Yamada; Yuya Miyasaka; Takayuki Kanai; Hikaru Souda; Ken Uematsu; Rei Mastueda; Natsuko Yano; Shohei Kawashiro; Hiroko Akamatsu; Mayumi Harada; Yasuhito Hagiwara; Mayumi Ichikawa; Hiraku Sato; Kenji Nemoto;
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2. A multi-scanner study of MRI radiomics in uterine cervical cancer: prediction of in-field tumor control after definitive radiotherapy based on a machine learning method including peritumoral regions [J] . Takada Akiyo, Yokota Hajime, Nemoto Miho Watanabe, Japanese journal of radiology . 2020,第3期

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6. Corrigendum to: Prediction of the minimum spacer thickness required for definitive radiotherapy with carbon ions and photons for pelvic tumors: an in silico planning study using virtual spacers [O] . Masayoshi Yamada, Yuya Miyasaka, Takayuki Kanai, 2021

机译：逆变：预测用碳离子和骨盆肿瘤的光子的最终放射治疗所需的最小间隔厚度：使用虚拟垫片的硅规划研究

7. In silico comparison of the dosimetric impacts of a greater omentum spacer for abdominal and pelvic tumors in carbon-ion, proton and photon radiotherapy [O] . Masayoshi Yamada, Hiraku Sato, Yoshiro Ieko, 2019

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Prediction of the minimum spacer thickness required for definitive radiotherapy with carbon ions and photons for pelvic tumors: an in silico planning study using virtual spacers

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