体内成像初始化肿瘤生长的生物物理模型:初步结果

D. Hormuth, T. Yankeelov
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引用次数: 0

摘要

MRI和PET的最新进展增加了对肿瘤分子、细胞和生理特征的无创测量的可用性。有可能将这些可测量的数据纳入现实的生物物理模型,然后用于预测肿瘤生长和个体治疗反应。在这里,我们结合了在大鼠胶质瘤模型的肿瘤发展过程中获得的定量成像数据。早期测量用于初始化和约束生物物理模型,以预测肿瘤在以后时间点的状态。初步结果显示,利用早期时间点数据预测晚期肿瘤的大小、细胞结构和分布是有希望的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In vivo imaging to initialize a biophysical model of tumor growth: Preliminary results
Recent advances in MRI and PET have increased the availability of noninvasive measurements of the molecular, cellular, and physiological characteristics of tumors. It may be possible to incorporate these measurables into realistic biophysical models that can then be used to predict tumor growth and therapy response on an individual basis. Here we incorporate quantitative imaging data acquired during the course of a tumor development in rat model of glioma. Early measurements are used to initialize and constrain a biophysical model to predict tumor status at later time points. The initial results show a promising ability to use early time point data to predict later time point tumor size, cellularity, and distribution.
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