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The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges
Liu, Zhenyu1,5; Wang, Shuo1,5; Dong, Di1,5; Wei, Jingwei1,5; Fang, Cheng3; Zhou, Xuezhi1,4; Sun, Kai1,4; Li, Longfei1,6; Li, Bo3; Wang, Meiyun2; Tian, Jie1,4,7
Source PublicationTheranostics
2019-01
Volume9Issue:5Pages:1303-1322
Abstract

Medical imaging can assess the tumor and its environment in their entirety, which makes it suitable for
monitoring the temporal and spatial characteristics of the tumor. Progress in computational methods,
especially in artificial intelligence for medical image process and analysis, has converted these images into
quantitative and minable data associated with clinical events in oncology management. This concept was
first described as radiomics in 2012. Since then, computer scientists, radiologists, and oncologists have
gravitated towards this new tool and exploited advanced methodologies to mine the information behind
medical images. On the basis of a great quantity of radiographic images and novel computational
technologies, researchers developed and validated radiomic models that may improve the accuracy of
diagnoses and therapy response assessments. Here, we review the recent methodological developments
in radiomics, including data acquisition, tumor segmentation, feature extraction, and modelling, as well as
the rapidly developing deep learning technology. Moreover, we outline the main applications of radiomics
in diagnosis, treatment planning and evaluations in the field of oncology with the aim of developing
quantitative and personalized medicine. Finally, we discuss the challenges in the field of radiomics and the
scope and clinical applicability of these methods.

KeywordRadiomics Medical Imaging Precision Diagnosis And Treatment Oncology
DOI10.7150/thno.30309
Indexed BySCI
Language英语
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/23573
Collection学术期刊
中国科学院分子影像重点实验室
Corresponding AuthorLi, Bo; Wang, Meiyun; Tian, Jie
Affiliation1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China
2.Department of Radiology, Henan Provincial People’s Hospital & the People’s Hospital of Zhengzhou University, Zhengzhou, Henan, 450003, China
3.Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 646000, China
4.Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi, 710126, China
5.University of Chinese Academy of Sciences, Beijing, 100080, China
6.Collaborative Innovation Center for Internet Healthcare, Zhengzhou University, Zhengzhou, Henan, 450052, China
7.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China
Recommended Citation
GB/T 7714
Liu, Zhenyu,Wang, Shuo,Dong, Di,et al. The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges[J]. Theranostics,2019,9(5):1303-1322.
APA Liu, Zhenyu.,Wang, Shuo.,Dong, Di.,Wei, Jingwei.,Fang, Cheng.,...&Tian, Jie.(2019).The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges.Theranostics,9(5),1303-1322.
MLA Liu, Zhenyu,et al."The Applications of Radiomics in Precision Diagnosis and Treatment of Oncology: Opportunities and Challenges".Theranostics 9.5(2019):1303-1322.
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