• CN:11-2187/TH
  • ISSN:0577-6686

机械工程学报 ›› 2026, Vol. 62 ›› Issue (7): 405-417.doi: 10.3901/JME.260386

• 数字化设计与制造 • 上一篇    

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脑胶质瘤放化疗微腔囊结构设计及其剂量分布与动态响应研究

李东洁1, 梁雨1, 姚钢2, 高伟达3, 荣伟彬4, 杨柳1, 张宇1   

  1. 1. 哈尔滨理工大学先进制造智能化技术教育部重点实验室 哈尔滨 150080;
    2. 黑龙江省原子能研究院 哈尔滨 150086;
    3. 哈尔滨医科大学附属第二医院神经外科 哈尔滨 150081;
    4. 哈尔滨工业大学机器人技术与系统国家重点实验室 哈尔滨 150001
  • 收稿日期:2025-04-06 修回日期:2025-10-14 发布日期:2026-05-25
  • 作者简介:李东洁,女,1981年出生,博士,教授,博士研究生导师。主要研究方向为机器视觉、AI医疗诊断及放射性药物治疗、微纳机器人技术。E-mail:dongjieli@hrbust.edu.cn
    梁雨(通信作者),男,1997年出生,博士,讲师。主要研究方向为AI医疗诊断及放射性药物治疗。E-mail:liangyuhrbust@163.com
  • 基金资助:
    黑龙江省自然科学基金联合基金(ZL2025E005)、中国博士后科学基金(2025MD784106)、黑龙江省重点研发计划(2023ZX01A08)和国家自然科学基金(51975170)资助项目。

Design of Microcavity Capsule Structures for Glioma Radiochemotherapy and Study on Dose Distribution and Dynamic Response

LI Dongjie1, LIANG Yu1, YAO Gang2, GAO Weida3, RONG Weibin4, YANG Liu1, ZHANG Yu1   

  1. 1. Key Laboratory of Advanced Manufacturing and Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080;
    2. Heilongjiang Institute of Atomic Energy, Harbin 150086;
    3. Department of Neurosurgery, The Second Affiliated Hospital of Harbin Medical University, Harbin 150081;
    4. State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001
  • Received:2025-04-06 Revised:2025-10-14 Published:2026-05-25

摘要: 针对脑胶质瘤放射治疗存在药物剂量难以调控、放疗剂量分布不均、单一治疗效果不佳以及重复手术风险较高等问题,设计一种可以实现病灶全覆盖辐照的新型脑胶质瘤放化疗微腔囊。首先,采用蒙特卡洛仿真软件GEANT4,计算脑胶质瘤微腔囊在水模体中的放疗剂量分布,分析不同角度下的径向剂量和各向异性,并研究微腔囊的三维剂量分布,探索其剂量学特性。然后,通过有限元仿真对微腔囊结构的动态响应进行分析,以评估其临床应用的可行性和安全性。最后,使用LiF热释光剂量计对微腔囊在水模体中的放疗剂量分布进行测量与验证。蒙特卡洛剂量分布仿真结果显示,微腔囊表面吸收剂量率较高,随着径向距离的增加,吸收剂量率沿各方向迅速衰减,同时因自身形状影响,吸收剂量率呈现螺旋型分布。有限元仿真结果表明,植入颅内的微腔囊所受的最大应力和最大位移随总的生理载荷呈周期性波动,在一个周期内,最大应力为0.422 MPa,最大位移为0.272 mm;当最大应力小于6 MPa时,其形变小于自身长度的15%,其结构设计符合颅内辐照的安全要求。实验验证结果表明,仿真模拟与实际测量数据之间具有良好的一致性,该微腔囊能够持续稳定地提供低剂量照射,从而实现局部高剂量的放射治疗效果。

关键词: 脑胶质瘤放化疗, 微腔囊, 结构设计, 放疗剂量分布, 动态响应, 有限元仿真

Abstract: To address the challenges in glioma radiotherapy, including difficulties in controlling drug dosage, uneven radiation dose distribution, poor outcomes from single treatment, and high risks of repeated surgeries, a novel glioma radiochemotherapy microcavity capsule is designed to achieve full coverage irradiation of the tumor. First, Monte Carlo simulation software GEANT4 is used to calculate the radiation dose distribution of the microcavity capsule in a water phantom, analyzing radial dose and anisotropy at different angles and exploring the three-dimensional dose distribution to investigate the dosimetric characteristics of the structure. Then, finite element simulation is employed to analyze the dynamic response of the microcavity capsule structure, assessing its feasibility and safety for clinical application. Finally, LiF thermoluminescent dosimeters are used to experimentally measure and validate the radiation dose distribution in the water phantom. The Monte Carlo dose distribution simulation results showed that the surface absorbed dose rate of the microcavity capsule is high. As the radial distance increased, the absorbed dose rate rapidly decreased in all directions. Additionally, due to the influence of its shape, the absorbed dose rate exhibited a spiral distribution. The finite element simulation results indicated that the maximum stress and displacement of the implanted microcavity capsule fluctuated cyclically under total physiological load, with a maximum stress of 0.422 MPa and a maximum displacement of 0.272 mm per cycle. When the maximum stress is less than 6 MPa, the deformation remained below 15% of the capsule's length, meeting safety requirements for intracranial irradiation. Experimental validation results showed good agreement between the simulation and measured data, demonstrating that the microcavity capsule can provide long-term, stable low-dose irradiation, enabling localized high-dose radiotherapy.

Key words: glioma radiochemotherapy, microcavitary capsule, structural design, radiation dose distribution, dynamic response, finite element simulation

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