US 12,558,438 B2 · Imaging systems and methods for particle-driven, knowledge-based, and predictive cancer radiogenomics

Abstract

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.

Claims34

Dependent claims

An in vivo method for determining an intratumoral and/or interstitial nanoparticle distribution within a tumor and/or a tumor interstitium of a subject, the method comprising the steps of:

administering to the subject a single probe species that consists of a plurality of individual silica-based nanoparticles of the same species;
following the administering step, obtaining a plurality of in vivo images of the subject;
producing, by a processor of a computing device, one or more segments from at least one of the plurality of in vivo images;
extracting, by the processor, one or more features from at least one of the one or more segments;
accessing, by the processor, functional and/or metabolic imaging data from at least one of the plurality of in vivo images and extracting and combining quantitative multi-dimensional data generated from the functional and/or metabolic imaging data;
and
determining the intratumoral and/or interstitial nanoparticle distribution within the tumor and/or the tumor interstitium of the subject using the extracted one or more features and the accessed functional and/or metabolic imaging data.

4 more elements

A system comprising:

a single probe species that consists of a plurality of individual silica-based nanoparticles of the same species;
one or more imaging devices;
a processor;
and
a nontransitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
(i) produce one or more segments from at least one of a plurality of in vivo images obtained using the one or more imaging devices;
(ii) extract one or more features from at least one of the one or more segments;
(iii) access functional and/or metabolic imaging data from at least one of the plurality of in vivo images, and extract and combine quantitative multi-dimensional data generated from the functional and/or metabolic imaging data;
(iv) determine an intratumoral and/or interstitial nanoparticle distribution within a tumor and/or a tumor interstitium of a subject using the extracted one or more features and the accessed functional and/or metabolic imaging data;
and
(v) link the determined intratumoral and/or interstitial silica based nanoparticle distribution within the tumor interstitium to the extracted and combined multi-dimensional data;
and
(vi) cause display of a graphical representation of the intratumoral and/or interstitial nanoparticle distribution within the tumor and/or the tumor interstitium superimposed on an image of the tumor and/or tumor interstitium captured by the one or more imaging devices.

10 more elements

Dependencies are inferred from the claim text.

Imaging systems and methods for particle-driven, knowledge-based, and predictive cancer radiogenomics

Life of this patent

Imaging systems and methods for particle-driven, knowledge-based, and predictive cancer radiogenomics

Life of this patent

Abstract

Claims34