Tumor characterization and outcome prediction through quantitative measurements of tumor-associated vasculature
US12376750B2 · kind B2 · utility
Assignees
Inventors
Key dates
| Filing date | Oct 27, 2023 |
| Grant date | Aug 5, 2025 |
| Priority date | — |
| Expiry date | Oct 27, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/30101
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
The present disclosure relates to a method. The method may be performed by accessing data derived from one or more routine clinical medical imaging scans including a lesion in which the lesion and associated vasculature are segmented in a three-dimensional segmentation. At least two features are extracted from the three-dimensional segmentation of the associated vasculature. The at least two features include at least one feature indicative of a morphology of the associated vasculature or a portion thereof, and at least one feature indicative of a function of the associated vasculature or a portion thereof. The at least two features, and/or one or more statistics of the at least two features, are provided to a machine learning model trained to make a prediction concerning the lesion. The prediction concerning the lesion is received from the machine learning model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.