Network for medical image analysis, decision support system, and related graphical user interface (gui) applications
AssigneeProgenics Pharmaceuticals, Inc.
InventorMark R. Baker
Life of this patent
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Abstract
Described herein is a platform and supported graphical user interface (GUI) decision-making tools for use by medical practitioners and/or their patients, e.g., to aide in the process of making decisions about a course of cancer treatment and/or to track treatment and/or the progress of a disease.
Claims49
A network-based decision support system comprising:
- a processor;
- and
- a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to perform one or more of functions (i) to (v) as follows:
- (i) receive and store medical images in a database, each medical image associated with a particular patient;
- (ii) access one or more of the medical images and/or related data associated with a particular patient from the database upon user request for transmission to the user for display on a user computing device;
- (iii) automatically analyze one or more of the medical images;
- (iv) generate a radiologist report for a patient according to one or more of the medical images for the patient;
- and
- (v) apply a machine learning algorithm to update a process for automatically analyzing one or more of the medical images using accumulated image data in the database.
The system of any one of the preceding claims, wherein the medical images comprise a single-photon emission computerized tomography (SPECT) scan of a first patient obtained following administration to the first patient of an imaging agent comprising 1404 labeled with 99mTc, and a computed tomography (CT) scan of the first patient, wherein the instructions cause the processor to overlay the SPECT scan with the CT scan to create a composite image (SPECT-CT) of the first patient.
The system of any one of the preceding claims, wherein the medical images comprise a positron emission tomography (PET) scan of a first patient obtained following administration to the first patient of an imaging agent comprising [18F]DCFPyL, and a CT scan of the first patient, wherein the instructions cause the processor to overlay the PET scan with the CT scan to create a composite image (PET-CT) of the first patient.
The system of any one of the preceding claims, wherein the medical images comprise a whole-body scan of a first patient made with a gamma camera following administration to the first patient of an imaging agent comprising technetium 99m methylenediphosphonate (99mTc MDP).
The system of any one of the preceding claims, wherein the medical images comprise a composite image of a first patient, the composite image comprising a CT scan overlaid with a nuclear medicine image obtained at substantially the same time as the CT scan and following administration to the first patient of an imaging agent comprising a Prostate Specific Membrane Antigen (PSMA) binding agent comprising a radionuclide, wherein the instructions cause the processor to automatically analyze the composite image by:
- (a) using the composite image to geographically identify a 3D boundary for each of one or more regions of imaged tissue within the nuclear medicine image;
- and
- (c) computing (i) a value of each of one or more risk indices and/or (ii) a risk map using the nuclear medicine image with the identified 3D boundaries of the one or more region(s).
The system of any one of the preceding claims, wherein the medical images comprise a nuclear medicine image of a first patient following administration to the first patient of an imaging agent comprising a radionuclide, wherein the instructions cause the processor to automatically analyze the nuclear medicine image by:
- (a) geographically identifying a boundary for each of one or more regions of imaged tissue within the nuclear medicine image;
- and
- (c) computing (i) a value of each of one or more risk indices and/or (ii) a risk map using the nuclear medicine image with the identified boundaries of the one or more region(s).
The system of any one of the preceding claims, wherein the system is a cloud-based system.
The system of any one of the preceding claims, wherein the processor is a processor of one or more network or Internet host servers.
A method comprising any one or more of (i) to (v) as follows:
- receiving and storing, by a processor of a server computing device medical images in a database, each medical image associated with a particular patient;
- (ii) accessing, by the processor, one or more of the medical images and/or related data associated with a particular patient from the database upon user request for transmission to the user for display on a user computing device;
- (iii) automatically analyzing, by the processor, one or more of the medical images;
- (iv) generating, by the processor, a radiologist report for a patient according to one or more of the medical images for the patient;
- and
- (v) applying, by the processor, a machine learning algorithm to update a process for automatically analyzing one or more of the medical images using accumulated image data in the database.
A system comprising:
- a processor;
- and
- a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to generate and cause display of an interactive graphical user interface (GUI) element, the GUI element having user-selectable and/or user-adjustable graphical controls for selecting and/or adjusting a digital presentation of a 3D risk picture of a patient for comparison with reference images caused to be displayed by the processor.
A method for tracking prostate cancer progression and treatment efficacy over time, for one or more patient(s), the method comprising:
- (a) repeatedly receiving and storing in a database, over time, by a processor of a computing device, a plurality of medical images for each of the one or more patient(s) to obtain, for each of the one or more patient(s), a series of medical images taken over time;
- (b) for each of the one or more patient(s), automatically analyzing, by the processor, the series of medical images for the patient to determine values of one or more risk indices for each medical image of the series, thereby tracking determined values of the one or more risk indices over a course prostate cancer progression and treatment for the patient;
- and
- (c) for each of the one or more patient(s), storing, by the processor, the determined values of the one or more risk indices for the patient for further processing and/or causing, by the processor, display of a graphical representation of the determined values of the one or more risk indices for the patient.
A system for tracking prostate cancer progression and treatment efficacy over time, for one or more patient(s), the system comprising:
- a processor;
- and
- a memory having instructions stored thereon, wherein the instructions, when executed by the processor, cause the processor to:
- (a) repeatedly receive and store in a database, over time, a plurality of medical images for each of the one or more patient(s) to obtain, for each of the one or more patient(s), a series of medical images taken over time;
- (b) for each of the one or more patient(s), automatically analyze the series of medical images for the patient to determine values of one or more risk indices for each medical image of the series, thereby tracking determined values of the one or more risk indices over a course prostate cancer progression and treatment for the patient;
- and
- (c) for each of the one or more patient(s), store the determined values of the one or more risk indices for the patient for further processing and/or cause display of a graphical representation of the determined values of the one or more risk indices for the patient.
Dependencies are inferred from the claim text.