FULL THERMAL MODELING

准确和完整地了解功率沉积和高温引起的 温度分布将帮助临床人员最大限度地 在最大限度减少并发症的情况下交付HT。不幸的是，这样的 目前还无法获得相关知识。在温度的情况下 分布，侵入性稀疏采样温度通常是 但我们已经展示了温度的描述符 依赖于稀疏采样温度的分布可能会有偏差 因此是不可靠的。患者特定的解剖特征使其很难 知道吗，先验的，能量沉积和它的最优传输不是 有可能。数值模拟技术是一种可能的解决方案 克服这些问题。 在上一次融资期间，我们开发了一种有限元数值方法 和相关联的网格算法来常规地计算患者特定 区域射频设备感应的能量沉积图案。我们核实了 从体模和临床获得的数据的方法的准确性 治疗。在初步研究中，我们还表明， 当该数值方法为 受雇的。因此，我们建议提高高温诱导温度。 通过使用数值模拟方法进行分布。假设： 电磁诱导功率沉积的前瞻性模型将产生 改善了高温下的温度分布。 应用数值模拟方法估算成品率 温度分布首先是一个比较困难和复杂的问题。 因为需要在数学上近似血液流动。我们有 结果表明，重建高压性高血压是可能的，也是可行的 使用简化假设的温度分布。然而，我们知道 额外的血管数据将是必要的，以例行和 准确重建完整的温度分布。因此，我们是 建议改进和评估我们现有模型的准确性 当用于重建温度时，生物热能传输。 假设：高温所致体温的回顾性重建 分布将是准确和稳健的。 最后，由于高温引起的温度分布是不均匀的， 细胞存活和反应之间关系的实验研究进展 是非常困难的，尤其是当混淆辐射等影响时 考虑了剂量和微环境因素。我们相信 数学建模方法具有帮助发展的潜力 并理解这些关系。因此，我们建议探索 使用数学模型估计肿瘤细胞的存活时间 太好了。假设：将有可能开发出数值模型 估计影响因素变化的相对重要性 热放射治疗的细胞毒性程度。

Accurate and complete knowledge of the power deposition and HT induced temperature distribution will aid clinical personnel in maximizing the delivery of the HT while minimizing complications. Unfortunately, such knowledge is presently unavailable. In the case of the temperature distribution, invasive sparsely sampled temperatures are typically acquired but we have shown that descriptors of the temperature distribution that rely on sparsely sampled temperatures can be biased and thus unreliable. Patient specific anatomic features make it difficult to know, a priori, the power deposition and thus its optimal delivery not possible. Numerical modeling techniques are one possible solution for overcoming these problems. During the previous funding period, we developed an FE numerical method and associated gridding algorithm to routinely compute patient specific power deposition patterns induced with a regional RF device. We verified the accuracy of the method using data obtained from phantom and clinical treatments. We have also shown, in preliminary studies, that improved temperature distributions are obtained when this numerical method is employed. Thus, we are proposing to improve the HT induced temperature distributions through the use of numerical modeling methods. Hypothesis: Prospective modeling of the EM induced power deposition will yield improved HT temperature distributions. Application of numerical modeling methods to estimate the complete temperature distribution is a more difficult and complex problem primarily due to the need to mathematically approximate the blood flow. We have shown it is both possible and feasible to reconstruct the HT induced temperature distribution using simplifying assumptions. However, we know that additional vascular data will be necessary to routinely and accurately reconstruct the complete temperature distribution. Thus, we are proposing to improve and evaluate the accuracy of our existing models of biothermal energy transport when used to reconstruct the temperatures. Hypothesis: Retrospective reconstruction of HT induced temperature distributions will be accurate and robust. Finally, because the HT induced temperature distribution is heterogeneous, empirical development of a relationship between cell survival and response is very difficult especially when confounding influences such as radiation dose and microenvironmental factors are considered. We believe that mathematical modeling methods have the potential to aid in the development and understanding these relationships. Thus, we are proposing to explore the use of mathematical modeling to estimate tumor cell survival following HT. Hypothesis: It will be possible to develop numerical models that estimate the relative importance of variations of factors that contribute to the degree of cytotoxicity from a thermoradiotherapeutic treatment.