CASIA OpenIR  > 中国科学院分子影像重点实验室
Radiomics in liver diseases: Current progress and future opportunities
Wei, Jingwei1,2; Jiang, Hanyu3; Gu, Dongsheng1,2; Niu, Meng4; Fu, Fangfang5,6; Han, Yuqi1,2; Song, Bin3; Tian, Jie1,2,7,8
Source PublicationLIVER INTERNATIONAL
ISSN1478-3223
2020-06-09
Volume40Issue:9Pages:2050-2063
Abstract

Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have become an increasingly significant health problem worldwide. Noninvasive imaging plays a critical role in the clinical workflow of liver diseases, but conventional imaging assessment may provide limited information. Accurate detection, characterization and monitoring remain challenging. With progress in quantitative imaging analysis techniques, radiomics emerged as an efficient tool that shows promise to aid in personalized diagnosis and treatment decision-making. Radiomics could reflect the heterogeneity of liver lesions via extracting high-throughput and high-dimensional features from multi-modality imaging. Machine learning algorithms are then used to construct clinical target-oriented imaging biomarkers to assist disease management. Here, we review the methodological process in liver disease radiomics studies in a stepwise fashion from data acquisition and curation, region of interest segmentation, liver-specific feature extraction, to task-oriented modelling. Furthermore, the applications of radiomics in liver diseases are outlined in aspects of diagnosis and staging, evaluation of liver tumour biological behaviours, and prognosis according to different disease type. Finally, we discuss the current limitations of radiomics in liver disease studies and explore its future opportunities.

Keyworddata science liver diseases machine learning precision medicine radiologic technology
DOI10.1111/liv.14555
WOS KeywordHEPATOCELLULAR-CARCINOMA ; PREOPERATIVE PREDICTION ; TEXTURE ANALYSIS ; EARLY RECURRENCE ; MICROVASCULAR INVASION ; COMPUTED-TOMOGRAPHY ; CT ; NOMOGRAM ; FEATURES ; MRI
Indexed BySCI
Language英语
Funding ProjectBeijing Municipal Science & Technology Commission[171100000117023] ; Beijing Municipal Science & Technology Commission[Z161100002616022] ; National Natural Science Foundation of China[881930053] ; National Natural Science Foundation of China[1227901] ; National Natural Science Foundation of China[81527805] ; Ministry of Science and Technology of China[2017YFA0205200] ; Chinese Academy of Sciences[GJJSTD20170004] ; Chinese Academy of Sciences[QYZDJ-SSW-JSC005]
Funding OrganizationBeijing Municipal Science & Technology Commission ; National Natural Science Foundation of China ; Ministry of Science and Technology of China ; Chinese Academy of Sciences
WOS Research AreaGastroenterology & Hepatology
WOS SubjectGastroenterology & Hepatology
WOS IDWOS:000544821500001
PublisherWILEY
Sub direction classification医学影像处理与分析
Citation statistics
Cited Times:20[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/40072
Collection中国科学院分子影像重点实验室
Corresponding AuthorTian, Jie
Affiliation1.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, Peoples R China
2.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
3.Sichuan Univ, West China Hosp, Dept Radiol, Chengdu, Peoples R China
4.China Med Univ, Affiliated Hosp 1, Dept Intervent Radiol, Shenyang, Peoples R China
5.Henan Prov Peoples Hosp, Dept Med Imaging, Zhengzhou, Henan, Peoples R China
6.Zhengzhou Univ, Peoples Hosp, Dept Med Imaging, Zhengzhou, Henan, Peoples R China
7.Beihang Univ, Sch Med, Beijing Adv Innovat Ctr Big Data Based Precis Med, Beijing, Peoples R China
8.Xidian Univ, Sch Life Sci & Technol, Minist Educ, Engn Res Ctr Mol & Neuro Imaging, Xian, Shaanxi, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wei, Jingwei,Jiang, Hanyu,Gu, Dongsheng,et al. Radiomics in liver diseases: Current progress and future opportunities[J]. LIVER INTERNATIONAL,2020,40(9):2050-2063.
APA Wei, Jingwei.,Jiang, Hanyu.,Gu, Dongsheng.,Niu, Meng.,Fu, Fangfang.,...&Tian, Jie.(2020).Radiomics in liver diseases: Current progress and future opportunities.LIVER INTERNATIONAL,40(9),2050-2063.
MLA Wei, Jingwei,et al."Radiomics in liver diseases: Current progress and future opportunities".LIVER INTERNATIONAL 40.9(2020):2050-2063.
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