Predicting immunotherapy response in non-small cell lung cancer patients with quantitative vessel tortuosity
US10492723B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 30, 2018 |
| Grant date | Dec 3, 2019 |
| Priority date | — |
| Expiry date | May 3, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V2201/032
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
Embodiments classify a region of tissue demonstrating non-small cell lung cancer using quantified vessel tortuosity (QVT). One example apparatus includes annotation circuitry configured to segment a lung region from surrounding anatomy in the region of tissue represented in a radiological image and segment a nodule from the lung region by defining a nodule boundary; vascular segmentation circuitry configured to generate a three dimensional (3D) segmented vasculature by segmenting a vessel associated with the nodule, and to identify a center line of the 3D segmented vasculature; QVT feature extraction circuitry configured to extract a set of QVT features from the radiological image; and classification circuitry configured to compute a probability that the region of tissue will respond to immunotherapy and generate a classification that the region of tissue is a responder or a non-responder based, at least in part, on the probability.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.