放射基因组学
无线电技术
医学
可解释性
结直肠癌
个性化医疗
医学物理学
精密医学
模式
医学影像学
放射科
生物信息学
人工智能
病理
癌症
计算机科学
内科学
生物
作者
Natally Horvat,David D. B. Bates,Iva Petkovska
出处
期刊:Abdominal Imaging
[Springer Nature]
日期:2019-05-04
卷期号:44 (11): 3764-3774
被引量:62
标识
DOI:10.1007/s00261-019-02042-y
摘要
As computational capabilities have advanced, radiologists and their collaborators have looked for novel ways to analyze diagnostic images. This has resulted in the development of radiomics and radiogenomics as new fields in medical imaging. Radiomics and radiogenomics may change the practice of medicine, particularly for patients with colorectal cancer. Radiomics corresponds to the extraction and analysis of numerous quantitative imaging features from conventional imaging modalities in correlation with several endpoints, including the prediction of pathology, genomics, therapeutic response, and clinical outcome. In radiogenomics, qualitative and/or quantitative imaging features are extracted and correlated with genetic profiles of the imaged tissue. Thus far, several studies have evaluated the use of radiomics and radiogenomics in patients with colorectal cancer; however, there are challenges to be overcome before its routine implementation including challenges related to sample size, model design and interpretability, and the lack of robust multicenter validation set. In this article, we will review the concepts of radiomics and radiogenomics and their potential applications in rectal cancer. Radiologists should be aware of the basic concepts, benefits, pitfalls, and limitations of new radiomic and radiogenomics techniques to achieve a balanced interpretation of the results.
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