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Predicting immunotherapy response in non-small cell lung cancer with serial quantitative vessel tortuosity
专利权人:
Case Western Reserve University
发明人:
Anant Madabhushi,Yuanqi Xie,Vamsidhar Velcheti
申请号:
US15893086
公开号:
US10441215B2
申请日:
2018.02.09
申请国别(地区):
US
年份:
2019
代理人:
摘要:
One embodiment includes an image acquisition circuit that accesses a pre-treatment and a post-treatment image of a region of tissue demonstrating non-small cell lung cancer (NSCLC), a segmentation and registration circuit that annotates the tumor represented in the images, and that registers the pre-treatment image with the post-treatment image; a feature extraction circuit that selects a set of pre-treatment and a set of post-treatment quantitative vessel tortuosity (QVT) features from the registered image; a delta-QVT circuit that generates a set of delta-QVT features by computing a difference between the set of post-treatment QVT features and the set of pre-treatment QVT features; and a classification circuit that generates a probability that the region of tissue will respond to immunotherapy based on the difference, and that classifies the region of tissue as a responder or non-responder. Embodiments may generate an immunotherapy treatment plan based on the classification.
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