Tumor characterization and outcome prediction through quantitative measurements of tumor-associated vasculature
US11896349B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Dec 9, 2020 |
| Grant date | Feb 13, 2024 |
| Priority date | — |
| Expiry date | Sep 27, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Embodiments discussed herein facilitate determination of a response to treatment and/or a prognosis for a tumor based at least in part on features of tumor-associated vasculature (TAV). One example embodiment is a method, comprising: accessing a medical imaging scan of a tumor, wherein the tumor is segmented on the medical imaging scan; segmenting tumor-associated vasculature (TAV) associated with the tumor based on the medical imaging scan; extracting one or more features from the TAV; providing the one or more features extracted from the TAV to a trained machine learning model; and receiving, from the machine learning model, one of a predicted response to a treatment for the tumor or a prognosis for the tumor.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.