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IMAGING SYSTEMS AND METHODS FOR PARTICLE-DRIVEN, KNOWLEDGE-BASED, AND PREDICTIVE CANCER RADIOGENOMICS
IMAGING SYSTEMS AND METHODS FOR PARTICLE-DRIVEN, KNOWLEDGE-BASED, AND PREDICTIVE CANCER RADIOGENOMICS
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机译:粒子驱动的,基于知识的和预测性癌症放射基因组学的成像系统和方法
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摘要
Described herein are particle-driven radiogenomics systems and methods that can be used to identify imaging features for prediction of intratumoral and interstitial nanoparticle distributions in cancers (e.g., in low grade and/or high-grade brain cancers (e.g., gliomas, e.g., primary gliomas)). In certain embodiments, the systems and methods described herein extract and combine quantitative multi-dimensional data generated from structural, functional, and/or metabolic imaging. In certain embodiments, the combined multidimensional data is linked to intratumoral and interstitial nanoparticle distributions. For example, this linked data can be used to determine quantitative functional-metabolic multimodality particle-based imaging features and to predict treatment efficacy. These techniques provide an improved quantitative ability to measure treatment response and determine tumor progressions compared to traditional size-based imaging methods.
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