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:
Jul. 29, 2025

Filed:

Nov. 03, 2021
Applicant:

Seno Medical Instruments, Inc., San Antonio, TX (US);

Inventors:

Anthony Thomas Stavros, San Antonio, TX (US);

Bryan Clingman, San Antonio, TX (US);

Sandra G. Dykes, Boerne, TX (US);

Assignee:

Seno Medical Instruments, Inc., San Antonio, TX (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
A61B 5/00 (2006.01); A61B 8/00 (2006.01); A61B 8/08 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4312 (2013.01); A61B 5/0095 (2013.01); A61B 5/489 (2013.01); A61B 5/7275 (2013.01); A61B 5/7435 (2013.01); A61B 5/7475 (2013.01); A61B 8/0825 (2013.01); A61B 8/085 (2013.01); A61B 8/463 (2013.01); A61B 8/469 (2013.01); A61B 8/5292 (2013.01);
Abstract

Systems, methods and computer program products are provided for analyzing at least one of ultrasound (US) images or optoacoustic (OA) images (US/OA images), comprising: a display configured to display at least a first image from at least one of OA images or US images acquired in connection with an examination for a region of interest (ROI), the first image including a lesion, the first image overlaid with an interior ROI outline separating an internal zone from a boundary zone of the ROI, the first image overlaid with an exterior ROI outline separating the boundary zone from a peripheral zone; a graphical user interface (GUI); memory configured to store program instructions; and one or more processors configured to execute the programmable instructions to: obtain feature scores in connection with at least the boundary zone and peripheral zone of the first image; apply the feature scores to a classification model to obtain predictive result indicative of a trait of the lesion, the predictive result indicating at least one of a presence or absence of metastasis lymph nodes and several lymph nodal metastasis; and output the predictive result.


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