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:
Oct. 15, 2019

Filed:

Feb. 09, 2018
Applicant:

Case Western Reserve University, Cleveland, OH (US);

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Yuanqi Xie, Cleveland, OH (US);

Vamsidhar Velcheti, Pepper Pike, OH (US);

Assignee:

Case Western Reserve University, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); A61B 5/00 (2006.01); G06T 7/11 (2017.01); G06T 7/33 (2017.01); G06T 7/00 (2017.01); G06K 9/62 (2006.01); G16H 30/40 (2018.01); A61B 6/00 (2006.01); A61K 49/00 (2006.01); G06K 9/46 (2006.01); A61B 5/02 (2006.01); G06T 7/174 (2017.01); A61B 6/03 (2006.01); A61B 5/055 (2006.01);
U.S. Cl.
CPC ...
A61B 5/4839 (2013.01); A61B 5/02007 (2013.01); A61B 5/4848 (2013.01); A61B 5/7267 (2013.01); A61B 6/50 (2013.01); A61K 49/0004 (2013.01); G06K 9/46 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06K 9/6269 (2013.01); G06K 9/6277 (2013.01); G06K 9/6284 (2013.01); G06T 7/0014 (2013.01); G06T 7/0016 (2013.01); G06T 7/11 (2017.01); G06T 7/174 (2017.01); G06T 7/337 (2017.01); G16H 30/40 (2018.01); A61B 5/055 (2013.01); A61B 5/4842 (2013.01); A61B 5/7264 (2013.01); A61B 6/032 (2013.01); G06K 2209/05 (2013.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30064 (2013.01); G06T 2207/30096 (2013.01); G06T 2207/30101 (2013.01);
Abstract

One embodiment includes an image acquisition circuit that accesses a pre-treatment and a post-treatment image of a region of tissue demonstrating non-small cell lung cancer (NSCLC), a segmentation and registration circuit that annotates the tumor represented in the images, and that registers the pre-treatment image with the post-treatment image; a feature extraction circuit that selects a set of pre-treatment and a set of post-treatment quantitative vessel tortuosity (QVT) features from the registered image; a delta-QVT circuit that generates a set of delta-QVT features by computing a difference between the set of post-treatment QVT features and the set of pre-treatment QVT features; and a classification circuit that generates a probability that the region of tissue will respond to immunotherapy based on the difference, and that classifies the region of tissue as a responder or non-responder. Embodiments may generate an immunotherapy treatment plan based on the classification.


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