摘要
近距离治疗计划系统(BTPS)基于蒙特卡罗算法优化计算非均匀组织剂量,结合CT与并行计算提升规划效率,辅助精准调控放射性粒子植入。多模态影像突破了单一模式的局限,可协同优化靶区适形度与剂量分布,提高局部控制率、降低并发症风险。本文围绕BTPS用于放射性粒子植入进展进行综述。
Based on Monte Carlo algorithms,combined with CT and parallel computing,brachytherapy treatment planning system(BTPS)can optimize non-homogeneous tissue dose calculation and improve planning efficiency,hence assisting radioactive particle implantation for precise dose control.Multimodal imaging fusion broke through the limitations of single imaging and synergistically optimized target area conformity and dose distribution,increased local control rate and reduced the risk of complications.The advances of BTPS in radioactive seed implantation were reviewed in this article.
作者
则帕尔·阿布都热合曼
刘登尧
ZEPAER Abudureheman;LIU Dengyao(The Third Clinical Medical College of Xinjiang Medical University,Urumqi 830000,China;Department of Interventional Therapy,Affiliated Tumor Hospital of Xinjiang Medical University,Urumqi 830000,China)
出处
《中国介入影像与治疗学》
北大核心
2025年第10期677-680,共4页
Chinese Journal of Interventional Imaging and Therapy
基金
“天山英才”青年拔尖人才项目(2023TSYCCX0068)
自治区科技支疆项目(2022E02051)。
关键词
碘同位素
人工智能
粒子植入
近距离治疗计划系统
iodine isotopes
artificial intelligence
seed implantation
brachytherapy treatment planning system
