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Method for stratifying and selecting candidates for receiving a specific therapeutic approach

机译:分层和选择接受特定治疗方法的候选人的方法

摘要

The disclosure concerns a method for patient stratification and selection of patients who are candidates for a specific therapy is described which is based on quantifying one or more digital image analysis feature distributions from stained tissue. The method extends beyond the abilities of a manual observer and a microscope, and generally comprises: acquiring digital images of stained tissue sections from patients submitted for evaluation, applying an algorithm process to said images with a computer to extract the morphometric and staining features of image pixels and tissue objects, deriving one or more distribution function for one or more image analysis features, calculating a summary statistic of the one or more distribution functions, and using said summary statistic along with an associated predefined patient stratification paradigm to separate a patient cohort into distinct strata which correspond to a decision to include or exclude a patient for a specific therapy.
机译:本公开涉及一种用于患者分层的方法,该方法基于量化来自染色组织的一个或多个数字图像分析特征分布来描述选择特定疗法候选者的患者。该方法超出了人工观察者和显微镜的能力,并且通常包括:从提交以进行评估的患者中获取染色的组织切片的数字图像,使用计算机对所述图像进行算法处理以提取图像的形态学和染色特征。像素和组织对象,为一个或多个图像分析特征导出一个或多个分布函数,计算一个或多个分布函数的摘要统计量,并使用所述摘要统计量和关联的预定义患者分层范式将患者队列分为对应于决定包括或排除患者进行特定治疗的不同阶层。

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