Advances in the Application of Radiomics in Colorectal Cancer
ZHOU Xue-zhi1
WEI Wei2
LIU Zhen-yu3
WANG Shuo3
TIAN Jie4
1.Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education,School of Life Science and Technology,Xidian University,Xi'an 710126,China;CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100191,China2.School of Electronics and Information,Xi'an Polytechnic University,Xi'an 710048,China;CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100191,China3.CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100191,China4.Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education,School of Life Science and Technology,Xidian University,Xi'an 710126,China;CAS Key Laboratory of Molecular Imaging,Institute of Automation,Chinese Academy of Sciences,Beijing 100191,China;Beijing Advanced Innovation Center for Big Data-Based Precision Medicine,School of Medicine,Beihang University,Beijing 100191,China
摘要：Medical images contain a great deal of information that cannot be recognized by the human eye.It may not only fully express the heterogeneity of the tumor,but also reflect important information such as prognosis information of patients.With the development of image processing and artificial intelligence technology,an emerging field called"radiomics"has become a research hotspot,aiming to assist doctors to make decisions or to solve the thorny problems in clinical practice by advanced image analysis technology.In this paper,taking applications of radiomics in colorectal cancer as an example,we introduced the basic principle and technology of radiomics followed by studies focusing on different clinical questions during treatment cycle,including assessment and prediction of the pathological response status after neoadjuvant chemoradiotherapy,the decision of operative plan and the survival analysis after operation.We believe that advances in medical image analysis will promote the development of precision medicine.
机标关键词：
分类号：R735.2(消化系肿瘤)
论文发表日期：2021-03-30
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：12( 1-12 )
英文信息