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. 29, 2024

Filed:

Apr. 09, 2020
Applicant:

Vilnius University, Vilnius, LT;

Inventors:

Arvydas Laurinavicius, Verbiskiu village, LT;

Allan Rasmusson, Vilnius, LT;

Ausrine Nestarenkaite, Vilnius, LT;

Dovile Zilenaite, Vilnius, LT;

Renaldas Augulis, Vilnius, LT;

Assignee:

Vilnius University, Vilnius, LT;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/136 (2017.01);
U.S. Cl.
CPC ...
G06T 7/13 (2017.01); G06T 7/136 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30096 (2013.01);
Abstract

We present a new method to automatically sample the tumour/stroma interface zone (IZ) from microscopy image analysis data. It first delineates the tumour edge using a set of explicit rules in grid-subsampled tissue areas; then the IZ of controlled width is sampled and ranked by the distance from the edge to compute TIL density profiles across the IZ. From this data, a set of novel Immunogradient indicators are computed to reflect TIL 'gravitation' towards the tumour. We applied the method on CD8 immunohistochemistry images of surgically excised breast and colorectal cancers to predict overall patient survival. In both patient cohorts, we found strong and independent prognostic value of the Immunogradient indicators, outperforming methods currently available. We conclude that data-driven, automated, human operator-independent IZ sampling enables precise spatial immune response measurement in the tumour/host interaction frontline for prediction of disease and therapy outcomes.


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