数字模拟和实验验证多探针冷缩的数值模拟
Jian Zhang1, Bei Tong1, Changmao Ni1
1Wuhan Neuracom Technology Development Co., Ltd., Wuhan 430073, China.
Micromachines
|December 31, 2025
概括
这项研究验证了一个冷化模型,用于预测冰球形状和优化探头布局. 虽然它对于热场是准确的,但它强调了需要将时间-温度效应纳入精确的生物损害预测的必要性.
科学领域:
- 生物医学工程 生物医学工程
- 医学物理 医学物理
- 热力工程是热力工程中的一个.
背景情况:
- 结冷处理是一种微创治疗,使用极度寒冷来破坏不需要的组织.
- 准确预测冰球的形成和治疗的有效性对于成功的冷处理至关重要.
- 优化探头放置和理解热场相互作用是多探头冷处理的关键挑战.
研究的目的:
- 开发和验证一个数值模型,用于预测多探针冷化中的冰球形状和热场.
- 为了优化冷探针的空间布局,以实现均的冷却.
- 对实验数据评估模型的预测准确性,并确定预测生物损害的局限性.
主要方法:
- 开发了使用Pennes生物热方程与相变的多探针冷化3D数值模型.
- 通过将模拟的温度概况和冰球形状与实验测量进行比较来验证模型.
- 研究了不同的探头布局,以确定为产生均热场的最佳间距.
- 对猪肝组织进行了组织学分析,以比较预测的损伤与观察到的生物效应.
主要成果:
- 该数值模型准确地预测了温度配置文件和冰球形状,冰球尺寸的平均误差为3.75%.
- 以1厘米间隔的9探头布局被认为是创建统一的低温场的最佳方案.
- 组织学分析显示了预测和实际的生物损伤区域之间的差异,表明稳定状态模型的局限性.
结论:
- 经过验证的热物理模型作为一个有价值的工具,用于预手术规划在冷.
- 准确预测生物损伤需要将时间-温度剂量效应纳入简单的临界温度值之外.
- 未来的模型应该整合热剂量计算,以弥合物理模拟和生物结果之间的差距,提高冷处理的精度.
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