The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 04, 2026

Filed:

Jan. 23, 2023
Applicants:

Sunnybrook Research Institute, Toronto, CA;

Ali Sadeghi-naini, Maple, CA;

Hamidreza Taleghamar, Toronto, CA;

Inventors:

Ali Sadeghi-Naini, Maple, CA;

Hamidreza Taleghamar, Toronto, CA;

Gregory J. Czarnota, Toronto, CA;

Assignee:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01); G06T 7/00 (2017.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/77 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01);
U.S. Cl.
CPC ...
G16H 50/20 (2018.01); A61B 8/0825 (2013.01); A61B 8/085 (2013.01); A61B 8/5207 (2013.01); G06T 7/0012 (2013.01); G06V 10/25 (2022.01); G06V 10/764 (2022.01); G06V 10/7715 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G16H 30/40 (2018.01); G06T 2207/10132 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30068 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/03 (2022.01);
Abstract

A system for predicting breast cancer response to neo-adjuvant chemotherapy (NAC) using quantitative ultrasound (QUS) parametric images and/or B-mode images, the system comprising: an imaging system for acquiring at least one ultrasound data frame comprising a raw RF signal, and/or an image; with a computer system performing the operations of: receiving the at least one ultrasound data frame and using one or more predefined rules to identify a region of interest (ROI) in each of the at least one ultrasound data frame; generating at least one quantitative ultrasound (QUS) parametric map and/or processed B-mode image for the tumor; with a feature network of a machine learning architecture, extracting optimal feature maps from the QUS parametric images and/or B-mode images; and classifying the tumor subject into a responder or a non-responder to the NAC.


Find Patent Forward Citations

Sadeghi-Naini, Ali. (2026). Deep learning of quantitative ultrasound multi-parametric images at pre-treatment to predict breast cancer response to chemotherapy (U.S. Patent No. 12700506). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12700506

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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