分数级生物热建模用于增强预测热疗法中的组织反应
Mohamed Hisham Fouad Aref1, Abdallah Abdelkader Hussein2, Yasser H El-Sharkawy3
1Biomedical Engineering Researcher, Egyptian Armed Forces, Cairo, Egypt.
Journal of thermal biology
|October 9, 2025
概括
一种新的微分生物热模型准确地预测了热切除菌过程中的组织温度,其性能优于经典模型. 这种改进的热除计划增强了患者特定的治疗策略.
科学领域:
- 生物医学工程 生物医学工程
- 热传输现象 热传输现象
- 计算生物学 计算生物学
背景情况:
- 经典的潘尼斯生物热方程式在异质组织中不充分模拟非里埃热传输.
- 不准确的温度预测可能导致低于最佳的热除计划和损害评估.
研究的目的:
- 实验验证一个分数级生物热模型与ex-vivo热图数据对比.
- 量化分数模型对经典Pennes'模型的预测优势.
主要方法:
- 测量肝脏,脏和心脏组织的热性能 (扩散性,导电性,热容量).
- 在肝脏样本上进行了可控的激光表面加热,用红外热学记录温度.
- 模拟温度演变使用经典 (α=1) 和分数 (0<α<1) 生物热模型,通过MAE,RMSE和Bland-Altman分析评估一致性.
主要成果:
- 与经典模型相比,分量生物热模型在预测温度轨迹方面表现出更高的准确性.
- 灵敏度分析显示,分数顺序 (α) 控制了热透率和预测的热带范围.
- 实验确定各种组织的热参数是一致的,与数值预测保持一致.
结论:
- 将实验测量的组织特性与分数生物热建模相结合,可以更好地进行定量预测,在废弃加热过程中预测温度演变.
- 这种混合框架改善了热扩散界限,使处理计划更加稳健.
- 这项研究提供了一种实用方法,用于在热除中对患者和组织进行特定校准.
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