| abstract |
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. |