IMAGE SYSTEMS AND METHODS FOR KNOWLEDGE-BASED, KNOWLEDGE-BASED CANCER RADIOGENOMY

摘要

The present invention relates to radiogenic systems and particle-based methods that can be used to identify imaging characteristics to predict intratumoral and interstitial nanoparticle distributions in cancers (e.g., low-grade and / or brain cancers). high grade (eg gliomas, eg primary gliomas)). In certain embodiments, the systems and methods described in the present invention extract and combine quantitative multidimensional 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, these linked data may be used to determine particle-based imaging characteristics of functional metabolic functional multimodality 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.