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Radiomics in liver diseases: Current progress and future opportunities

文献类型：期刊论文

作者Wei, Jingwei1,2; Jiang, Hanyu3; Gu, Dongsheng1,2; Niu, Meng4; Fu, Fangfang5,6; Han, Yuqi1,2; Song, Bin3; Tian, Jie1,2,7,8
刊名LIVER INTERNATIONAL
出版日期2020-07-02
页码14
关键词data science liver diseases machine learning precision medicine radiologic technology
ISSN号1478-3223
DOI10.1111/liv.14555
通讯作者Tian, Jie(tian@ieee.org)
英文摘要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.
WOS关键词HEPATOCELLULAR-CARCINOMA ; PREOPERATIVE PREDICTION ; TEXTURE ANALYSIS ; EARLY RECURRENCE ; MICROVASCULAR INVASION ; COMPUTED-TOMOGRAPHY ; CT ; NOMOGRAM ; FEATURES ; MRI
资助项目Beijing 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]
WOS研究方向Gastroenterology & Hepatology
语种英语
WOS记录号WOS:000544821500001
出版者WILEY
资助机构Beijing Municipal Science & Technology Commission ; National Natural Science Foundation of China ; Ministry of Science and Technology of China ; Chinese Academy of Sciences
源URL[http://ir.ia.ac.cn/handle/173211/40071]  
专题自动化研究所_中国科学院分子影像重点实验室
通讯作者Tian, Jie
作者单位1.Beijing Key Lab Mol Imaging, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Automat, Key Lab Mol Imaging, Beijing 100190, 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
推荐引用方式
GB/T 7714		 Wei, Jingwei,Jiang, Hanyu,Gu, Dongsheng,et al. Radiomics in liver diseases: Current progress and future opportunities[J]. LIVER INTERNATIONAL,2020:14.
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,14.
MLA Wei, Jingwei,et al."Radiomics in liver diseases: Current progress and future opportunities".LIVER INTERNATIONAL (2020):14.

入库方式： OAI收割

来源：自动化研究所

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