首页> 外国专利> PREDICTING RESPONSE TO PEMETREXED CHEMOTHERAPY IN NON-SMALL CELL LUNG CANCER (NSCLC) WITH BASELINE COMPUTED TOMOGRAPHY (CT) SHAPE AND TEXTURE FEATURES

PREDICTING RESPONSE TO PEMETREXED CHEMOTHERAPY IN NON-SMALL CELL LUNG CANCER (NSCLC) WITH BASELINE COMPUTED TOMOGRAPHY (CT) SHAPE AND TEXTURE FEATURES

机译:具有基线计算机断层扫描(CT)形状和纹理特征的非小细胞肺癌(NSCLC)预测超敏化学疗法的反应

摘要

Methods, apparatus, and other embodiments predict response to pemetrexed based chemotherapy. One example apparatus includes an image acquisition circuit that acquires a radiological image of a region of tissue demonstrating NSCLC that includes a region of interest (ROI) defining a tumoral volume, a peritumoral volume definition circuit that defines a peritumoral volume based on the boundary of the ROI and a distance, a feature extraction circuit that extracts a set of discriminative tumoral features from the tumoral volume, and a set of discriminative peritumoral features from the peritumoral volume, and a classification circuit that classifies the ROI as a responder or a non-responder using a machine learning classifier based, at least in part, on the set of discriminative tumoral features and the set of discriminative peritumoral features.
机译:方法,装置和其他实施方案预测对基于培美曲塞的化学疗法的反应。一个示例设备包括:图像采集电路,其获取组织区域的放射线图像,该图像证明了包括限定肿瘤体积的感兴趣区域(ROI)的NSCLC;肿瘤周体积限定电路,其基于肿瘤的边界限定肿瘤周体积。 ROI和距离,从肿瘤体积中提取出一组区分性肿瘤特征的特征提取电路,以及从肿瘤周体积中提取出一套有区别性肿瘤周围特征的分类电路,以及将ROI分类为响应者或非响应者的分类电路使用至少部分基于判别性肿瘤特征集和判别性肿瘤周围特征集的机器学习分类器。

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