Scholarlink

This study presents an in-depth analysis of the microdosimetry of Boron Neutron Capture Therapy (BNCT) using an innovative multicellular model. We developed a Geant4-based Monte Carlo simulation incorporating a geometry of 7 cells. The study compares the use of two water models (G4_WATER and H2O) and three physics lists (Geant4-DNA and G4QGSP_BIC_HP) to evaluate their impact on the distribution of energy deposited in the central cell and its neighbors. The research results reveal significant differences in energy deposition profiles between cells, highlighting the importance of bystander effects in BNCT. The analysis shows that the choice of water model and physics list influences the accuracy of simulations, with implications for treatment optimization. This multicellular approach offers a more realistic understanding of the complex interactions in BNCT at the tissue level, paving the way for more precise and effective treatment protocols.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Advanced Geant4 Simulation Approach for Evaluating Energy Deposition in Multicellular Boron Neutron Capture Therapy

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Khadija Charef,
  • Youssef Khoulaki,
  • Driss Benchekroun,
  • Maissara Nejmi

摘要

This study presents an in-depth analysis of the microdosimetry of Boron Neutron Capture Therapy (BNCT) using an innovative multicellular model. We developed a Geant4-based Monte Carlo simulation incorporating a geometry of 7 cells. The study compares the use of two water models (G4_WATER and H2O) and three physics lists (Geant4-DNA and G4QGSP_BIC_HP) to evaluate their impact on the distribution of energy deposited in the central cell and its neighbors. The research results reveal significant differences in energy deposition profiles between cells, highlighting the importance of bystander effects in BNCT. The analysis shows that the choice of water model and physics list influences the accuracy of simulations, with implications for treatment optimization. This multicellular approach offers a more realistic understanding of the complex interactions in BNCT at the tissue level, paving the way for more precise and effective treatment protocols.