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Computer-assisted tumor response assessment and evaluation of the vascular tumor burden
专利权人:
AI METRICS; LLC
发明人:
Andrew Dennis Smith
申请号:
US16525351
公开号:
US10743829B2
申请日:
2019.07.29
申请国别(地区):
US
年份:
2020
代理人:
摘要:
A computer-implemented method for determining and evaluating an objective tumor response to an anti-cancer therapy using cross-sectional images can include receiving cross-sectional images of digital medical image data and identifying target lesions within the cross-sectional images. For each of the target lesions, a target lesion type and anatomical location is identified, a segmenting tool is activated for segmenting the target lesions into regions of interest, lesion metrics are automatically extracted from the regions of interest according to tumor response criteria, and conformity of target lesion identification is monitored using rules associated with the tumor response criteria, prompting a user to address any nonconforming target lesion. The method also includes receiving a presence/absence of metastases, determining changes in lesions metrics, and deriving an objective tumor response based on the tumor response criteria.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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