US 11,900,597 B2 · Systems and methods for artificial intelligence-based image analysis for cancer assessment

Abstract

Presented herein are systems and methods that provide for automated analysis of medical images to determine a predicted disease status (e.g., prostate cancer status) and/or a value corresponding to predicted risk of the disease status for a subject. The approaches described herein leverage artificial intelligence (AI) to analyze intensities of voxels in a functional image, such as a PET image, and determine a risk and/or likelihood that a subject's disease, e.g., cancer, is aggressive. The approaches described herein can provide predictions of whether a subject that presents a localized disease has and/or will develop aggressive disease, such as metastatic cancer. These predictions are generated in a fully automated fashion and can be used alone, or in combination with other cancer diagnostic metrics (e.g., to corroborate predictions and assessments or highlight potential errors). As such, they represent a valuable tool in support of improved cancer diagnosis and treatment.

Claims34

Dependent claims

A method for determining a predicted disease status and/or a value corresponding to predicted risk of the disease status based on automated analysis of intensities of a three-dimensional (3D) functional image, the method comprising:

(a) receiving, by a processor of a computing device, a 3D anatomical image of a subject obtained using an anatomical imaging modality, wherein the 3D anatomical image comprises a graphical representation of tissue within the subject;
(b) identifying, by the processor, within the 3D anatomical image, a first volume corresponding to a target tissue volume of interest (VOI) within the subject;
(c) receiving, by the processor, a 3D functional image of the subject obtained using a functional imaging modality;
and
(d) determining, by the processor, a predicted disease status of the subject and/or a value corresponding to predicted risk of the disease status of the subject using a machine learning module that receives, as input, intensities of voxels of the 3D functional image identified as corresponding to the first volume of the anatomical image.

2 more elements

A system for determining a predicted disease status and/or a value corresponding to predicted risk of the disease status based on automated analysis of intensities of a three-dimensional (3D) functional image, the system comprising:

a processor of a computing device;
and
a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
(a) receive a 3D anatomical image of a subject obtained using an anatomical imaging modality, wherein the 3D anatomical image comprises a graphical representation of tissue within the subject;
(b) identify, within the 3D anatomical image, a first volume corresponding to a target tissue volume of interest (VOI) within the subject;
(c) receive a 3D functional image of the subject obtained using a functional imaging modality;
and
(d) determine a predicted disease status of the subject and/or a value corresponding to predicted risk of the disease status of the subject using a machine learning module that receives, as input, intensities of voxels of the 3D functional identified as corresponding to the first volume of the anatomical image.

5 more elements

Dependencies are inferred from the claim text.

Systems and methods for artificial intelligence-based image analysis for cancer assessment

Life of this patent

Systems and methods for artificial intelligence-based image analysis for cancer assessment

Life of this patent

Abstract

Claims34