Predicting recurrence in early stage non-small cell lung cancer (NSCLC) with integrated radiomic and pathomic features
US10846367B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 14, 2018 |
| Grant date | Nov 24, 2020 |
| Priority date | — |
| Expiry date | May 24, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments predict early stage NSCLC recurrence, and include processors configured to access a pathology image of a region of tissue demonstrating early stage NSCLC; extract a set of pathomic features from the pathology image; access a radiological image of the region of tissue; extract a set of radiomic features from the radiological image; generate a combined feature set that includes at least one member of the set of pathomic features, and at least one member of the set of radiomic features; compute a probability that the region of tissue will experience NSCLC recurrence based, at least in part, on the combined feature set; and classify the region of tissue as recurrent or non-recurrent based, at least in part, on the probability. Embodiments may display the classification, or generate a personalized treatment plan based on the classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.