Jing Jing Li

US Patent:

20220301172, Sep 22, 2022

Filed:

May 20, 2022

Appl. No.:

17/749775

Inventors:

- Rochester MN, US
- Scottsdale AZ, US
J. Ross Mitchell - Tampa FL, US
Nhan L. Tran - Peoria AZ, US
Jing Li - Marietta GA, US
Teresa Wu - Gilbert AZ, US

International Classification:

G06T 7/00
G06T 7/11

Abstract:

Methods that implement image-guided tissue analysis, MRI-based computational modeling, and imaging informatics to analyze the diversity and dynamics of molecularly-distinct subpopulations and the evolving competitive landscapes in human glioblastoma multiforme (“GBM”) are provided. Machine learning models are constructed based on multiparametric MRI data and molecular data (e.g., CNV, exome, gene expression). Models can also be built based on specific biological factors, such as sex and age. Inputting MRI data into the trained predictive models generates maps that depict spatial patterns of molecular markers, which can be used to quantify and co-localize regions molecularly distinct subpopulations in tumors and other regions, such as the non-enhancing parenchyma, or brain around tumor (“BAT”) regions.