DIGITAL IMAGE ANALYSIS OF INFLAMMATORY CELLS AND MEDIATORS OF INFLAMMATION
    1.
    发明申请
    DIGITAL IMAGE ANALYSIS OF INFLAMMATORY CELLS AND MEDIATORS OF INFLAMMATION 审中-公开
    炎症细胞和炎症介质的数字图像分析

    公开(公告)号:WO2017171720A1

    公开(公告)日:2017-10-05

    申请号:PCT/US2016/024598

    申请日:2016-03-29

    Abstract: This disclosure concerns methods for evaluating inflammatory cells and modulators of the inflammatory response in tumor tissue and other relevant tissue types. The methods entail: obtaining a tissue sample and processing said tissue sample to produce histologic slides of tissue sections; staining of the tissue sections to identify inflammatory cells and modulators of the inflammatory response; digitizing slides to produce an image of the stained tissue sections; digitally stratifying the tissue sample into tumor and other relevant tissue compartments; and using digital image analysis to quantify cell-based and cell population-based features. The quantification of cell-based and cell population-based features within a tissue compartment of interest is used to develop a summary score of the immune system-tissue compartment of interest interaction. Patient stratification and selection as candidates for a therapeutic approach is ultimately based on the summary score value.

    Abstract translation: 本公开涉及用于评估肿瘤组织和其他相关组织类型中炎性细胞和炎性应答调节剂的方法。 该方法需要:获得组织样本并处理所述组织样本以产生组织切片的组织切片; 对组织切片进行染色以鉴定炎性细胞和炎性应答的调节剂; 数字化幻灯片以产生染色组织切片的图像; 将组织样本数字分层到肿瘤和其他相关组织区室中; 并使用数字图像分析来量化基于细胞和细胞群体的特征。 定量感兴趣组织区间内的基于细胞和细胞群体的特征被用于开发免疫系统 - 感兴趣相互作用的组织区间的总结评分。 患者分层和选择作为治疗方案的候选者最终基于总分值。

Patent Agency Ranking