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A method for in vivo treatment verification of IMRT and VMAT based on electronic portal imaging device.
Zhang, Jun; Li, Xiuqing; Lu, Miaomiao; Zhang, Qilin; Zhang, Xile; Yang, Ruijie; Chan, Maria F; Wen, Junhai.
Afiliação
  • Zhang J; Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China. 284614835@qq.com.
  • Li X; Department of Engineering Physics, Tsinghua University, Beijing, China.
  • Lu M; Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China.
  • Zhang Q; Department of Radiation Oncology, Peking University Third Hospital, Beijing, China.
  • Zhang X; Department of Radiation Oncology, Peking University Third Hospital, Beijing, China.
  • Yang R; Department of Radiation Oncology, Peking University Third Hospital, Beijing, China.
  • Chan MF; Medical Physics Department, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
  • Wen J; Department of Biomedical Engineering, School of Life Science, Beijing Institute of Technology, Beijing, China. wenjh@bit.edu.cn.
Radiat Oncol ; 16(1): 232, 2021 Dec 04.
Article em En | MEDLINE | ID: mdl-34863229
BACKGROUND: Intensity-modulated radiation therapy (IMRT) and volume-modulated arc therapy (VMAT) are rather complex treatment techniques and require patient-specific quality assurance procedures. Electronic portal imaging devices (EPID) are increasingly used in the verification of radiation therapy (RT). This work aims to develop a novel model to predict the EPID transmission image (TI) with fluence maps from the RT plan. The predicted TI is compared with the measured TI for in vivo treatment verification. METHODS: The fluence map was extracted from the RT plan and corrections of penumbra, response, global field output, attenuation, and scatter were applied before the TI was calculated. The parameters used in the model were calculated separately for central axis and off-axis points using a series of EPID measurement data. Our model was evaluated using a CIRS thorax phantom and 20 clinical plans (10 IMRT and 10 VMAT) optimized for head and neck, breast, and rectum treatments. RESULTS: Comparisons of the predicted and measured images were carried out using a global gamma analysis of 3%/2 mm (10% threshold) to validate the accuracy of the model. The gamma pass rates for IMRT and VMAT were greater than 97.2% and 94.5% at 3%/2 mm, respectively. CONCLUSION: We have developed an accurate and straightforward EPID-based quality assurance model that can potentially be used for in vivo treatment verification of the IMRT and VMAT delivery.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Planejamento da Radioterapia Assistida por Computador / Diagnóstico por Imagem / Imagens de Fantasmas / Eletrônica Médica / Radioterapia de Intensidade Modulada / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Planejamento da Radioterapia Assistida por Computador / Diagnóstico por Imagem / Imagens de Fantasmas / Eletrônica Médica / Radioterapia de Intensidade Modulada / Neoplasias Idioma: En Ano de publicação: 2021 Tipo de documento: Article