Predicting response to therapy for adult and pediatric crohn's disease using radiomic features of mesenteric fat regions on baseline magnetic resonance enterography
US11241190B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 16, 2019 |
| Grant date | Feb 8, 2022 |
| Priority date | — |
| Expiry date | Apr 15, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/031
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Embodiments discussed herein facilitate predicting response to therapy in Crohn's disease. A first set of embodiments discussed herein relates to accessing a radiological image of a region of tissue demonstrating Crohn's disease associated with a patient; defining a mesenteric fat region by segmenting mesenteric fat represented in the radiological image; extracting a set of radiomic features from the mesenteric fat region; providing the set of radiomic features to a machine learning classifier configured to compute a probability of response to therapy in Crohn's disease based, at least in part, on the set of radiomic features; receiving, from the machine learning classifier, a probability that the region of tissue will respond to therapy; generating a classification of the patient as a responder or non-responder based, at least in part, on the probability; and displaying the classification.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.