PATIENT RESPONSE-BASED BIOMARKER TOPOLOGY QUANTIFICATION AND ASSESSMENT FOR MULTIPLE TISSUE TYPES

• Main Authors: Pandya, Dimple, Ely, Scott, Fisher, Andrew, Wojcik, John B, Lee, George C, Edwards, Robin, Gray, Falon, Baxi, Vipul A, Cohen, Daniel N, Trillo-Tinoco, Jimena, Chen, Benjamin J
• Format: Patent
• Language: English
• Published: 18.04.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

Described herein are methods and computer systems for classification of CD8 T-cell topology using a patient response-based linear cutoff model. A plurality of histology images of tissue samples in a plurality of patients are received by a computer system. An image analysis of the plurality of histology images is performed to obtain a CD8+ T-cell abundance in the tumor parenchyma and stroma in each of the plurality of histology images. Real inflammation scores and tumor infiltration scores are determined based on a polar coordinate transformation of the CD8+ T-cell abundance in the tumor parenchyma and stroma. Based on the real inflammation scores and tumor infiltration scores, a feature space is generated, and linear boundaries or linear cutoffs between a plurality of classifications in the feature space are identified based on the real inflammation scores, the tumor infiltration scores, and patient response data.