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Verification of Qfix Encompass™ couch modeling using the Acuros XB algorithm and HypeArc™ using a high-spatial-resolution two-dimensional diode array.
Yamada, Takumi; Nakano, Hisashi; Tanabe, Satoshi; Sakai, Tatsuya; Tanabe, Shunpei; Oka, Tetsuya; Sakai, Hironori; Oshikane, Tomoya; Nakano, Toshimichi; Ohta, Atsushi; Kanazawa, Tsutomu; Kaidu, Motoki; Ishikawa, Hiroyuki.
Afiliação
  • Yamada T; Section of Radiology, Department of Clinical Support, Niigata University Medical and Dental Hospital, Niigata, 951-8520, Japan.
  • Nakano H; Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan; Department of Medical Physics and Engineering, Osaka University Graduate School of Medicine, Osaka, 565-0871, Japan. Electronic address: nakanoh@med.niigata-u.ac.jp.
  • Tanabe S; Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan.
  • Sakai T; Section of Radiology, Department of Clinical Support, Niigata University Medical and Dental Hospital, Niigata, 951-8520, Japan.
  • Tanabe S; Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan.
  • Oka T; Section of Radiology, Department of Clinical Support, Niigata University Medical and Dental Hospital, Niigata, 951-8520, Japan.
  • Sakai H; Section of Radiology, Department of Clinical Support, Niigata University Medical and Dental Hospital, Niigata, 951-8520, Japan.
  • Oshikane T; Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan.
  • Nakano T; Department of Radiology and Radiation Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8122, Japan.
  • Ohta A; Department of Radiation Oncology, Niigata University Medical and Dental Hospital, Niigata 951-8520, Japan.
  • Kanazawa T; Section of Radiology, Department of Clinical Support, Niigata University Medical and Dental Hospital, Niigata, 951-8520, Japan.
  • Kaidu M; Department of Radiology and Radiation Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8122, Japan.
  • Ishikawa H; Department of Radiology and Radiation Oncology, Niigata University Graduate School of Medical and Dental Sciences, Niigata, 951-8122, Japan.
Med Dosim ; 48(4): 261-266, 2023.
Article em En | MEDLINE | ID: mdl-37455221
We modeled the Qfix Encompass™ immobilization system and further verified the calculated dose distribution of the AcurosXB (AXB) dose calculation algorithm using SRS MapCHECKⓇ (SRSMC) in the HyperArc™ (HA) clinical plan. An Encompass system with a StereoPHAN™ QA phantom was scanned by SOMATOM go.Sim and imported to an Eclipse™ treatment planning system to create a treatment plan for Encompass modeling. The Encompass modeling was performed in the StereoPHAN with a pinpoint ion chamber for 6 MV and 6 MV flattening filter free (6 MV FFF), and 2 × 2 cm2, 4 × 4 cm2, and 6 × 6 cm2 irradiation field sizes. The dose calculation algorithm used was AXB ver. 15.5 with a 1.0 mm calculation grid size. The Hounsfield unit (HU) values of the Encompass modeling were set to 400, -100, -200, and -300 for Encompass, and -400, -600, -700, and -800 for the Encompass base. We evaluated the dose distribution after Encompass modeling by SRSMC using gamma analysis in 12 patients. We adopted HU values of -200 for Encompass, -800 for Encompass base for 6 MV, and -200 for Encompass and -700 for Encompass. Base for 6 MV FFF was adopted as the HU values for the Encompass modeling based on the measurement results. The proposed Encompass modeling resulted in a mean pass rate evaluation >98% for both 6 MV and 6 MV FFF when the 1%/1 mm criterion was used, demonstrating that the proposed HU value can be adopted to calculate more accurate dose distributions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento da Radioterapia Assistida por Computador / Radioterapia de Intensidade Modulada Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article