期刊
ABDOMINAL RADIOLOGY
卷 46, 期 1, 页码 111-123出版社
SPRINGER
DOI: 10.1007/s00261-019-02378-5
关键词
Hepatocellular carcinoma (HCC); Radiomics; Texture analysis; Predictive modeling; Histopathology; Outcome
Radiomics is an emerging method for quantifying tumor heterogeneity by mathematically analyzing the spatial distribution and relationships of gray levels in medical images. Current studies show promising potential for radiomics analysis in predicting biological features, molecular profiles, post-therapy response, and prognosis of hepatocellular carcinoma.
The diagnosis of hepatocellular carcinoma relies largely on non-invasive imaging, and is well suited for radiomics analysis. Radiomics is an emerging method for quantification of tumor heterogeneity by mathematically analyzing the spatial distribution and relationships of gray levels in medical images. The published studies on radiomics analysis of HCC provide encouraging data demonstrating potential utility for prediction of tumor biology, molecular profiles, post-therapy response, and outcome. The combination of radiomics data and clinical/laboratory information provides added value in many studies. Radiomics is a multi-step process that requires optimization and standardization, the development of semi-automated or automated segmentation methods, robust data quality control, and refinement of algorithms and modeling approaches for high-throughput data analysis. While radiomics remains largely in the research setting, the strong associations of predictive models and nomograms with certain pathologic, molecular, and immune markers with tumor aggressiveness and patient outcomes, provide great potential for clinical applications to inform optimized treatment strategies and patient prognosis.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据