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:
Jun. 07, 2022

Filed:

Nov. 27, 2018
Applicant:

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

Inventors:

Anant Madabhushi, Shaker Heights, OH (US);

Pranjal Vaidya, Cleveland, OH (US);

Vamsidhar Velcheti, Pepper Pike, OH (US);

Kaustav Bera, Cleveland, OH (US);

Assignees:

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

The Cleveland Clinic Foundation, Cleveland, OH (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 7/00 (2017.01); A61B 6/03 (2006.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06V 10/40 (2022.01); G06V 10/44 (2022.01); G06V 20/69 (2022.01); A61B 6/12 (2006.01); G06T 7/187 (2017.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
A61B 6/5217 (2013.01); A61B 6/032 (2013.01); A61B 6/463 (2013.01); A61B 6/50 (2013.01); G06T 7/0012 (2013.01); G06T 7/11 (2017.01); G06T 7/12 (2017.01); G06V 10/40 (2022.01); G06V 10/446 (2022.01); G06V 20/695 (2022.01); G06V 20/698 (2022.01); A61B 6/12 (2013.01); G06T 7/136 (2017.01); G06T 7/187 (2017.01); G06T 2207/10081 (2013.01); G06T 2207/20076 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20152 (2013.01); G06T 2207/30061 (2013.01); G06T 2207/30096 (2013.01); G06V 2201/031 (2022.01);
Abstract

Embodiments generate an early stage NSCLC recurrence prognosis, and predict added benefit of adjuvant chemotherapy. Embodiments include processors configured to access a radiological image of a region of tissue demonstrating early stage NSCLC; segment a tumor represented in the radiological image; define a peritumoral region based on a morphological dilation of a boundary of the tumor; extract a radiomic signature that includes a set of tumoral radiomic features extracted from the tumoral region, and a set of peritumoral radiomic features extracted from the peritumoral region, based on a continuous time to event data; compute a radiomic score based on the radiomic signature; compute a probability of added benefit of adjuvant chemotherapy based on the radiomic score; and generate an NSCLC recurrence prognosis based on the radiomic score. Embodiments may display the radiomic score, or generate a personalized treatment plan based on the radiomic score.


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