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Imaging systems and methods for particle-driven, knowledge-based, and predictive cancer radiation radiation genomics
Imaging systems and methods for particle-driven, knowledge-based, and predictive cancer radiation radiation genomics
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机译:用于粒子驱动的,基于知识的和预测性的癌症放射线辐射基因组学的成像系统和方法
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摘要
In order to predict the distribution of intratumoral and interstitial nano-particles in cancer (e.g., in low-malignant and / or high-malignant brain cancers (e.g. glioma, for example, primary glioma) A particle-driven radiation genomics system and method that can be used to identify features are disclosed herein. In certain embodiments, the systems and methods described herein extract and combine quantitative multidimensional data generated from structural, functional, and / or metabolic imaging. In certain embodiments, the combined multidimensional data relates to intratumoral and interstitial nanoparticle distribution. For example, this related data can be used to determine quantitative functional-metabolic multi-modality particle-based imaging characteristics and predict therapeutic efficacy. These techniques provide an improved quantitative ability to measure therapeutic response and determine tumor progression over conventional size-based imaging methods.
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