Cancer risk stratification based on histopathological tissue slide analysis
US11257209B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 2, 2017 |
| Grant date | Feb 22, 2022 |
| Priority date | — |
| Expiry date | May 17, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30024
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.