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Progress in research on ultrasound radiomics for predicting the prognosis of breast cancer

作     者:Xuantong Gong Xuefeng Liu Xiaozheng Xie Yong Wang 

作者机构:Department of UltrasoundNational Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBijingChina State Key Laboratory of Virtual Reality Technology and SystemsSchool of Computer Science and EngineeringBejjing Advanced Innovation Center for Big Data and Brain Computing(BDBC)Beihang UniversityBeijingChina School of Computer and Communication Engi neering.University of Science and Technology BeijingBeijingChina 

出 版 物:《Cancer Innovation》 (肿瘤创新(英文))

年 卷 期:2023年第2卷第4期

页      面:283-289页

学科分类:1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基  金:Bejing Hope Run Special Fund of Cancer Foundation of China,G rant/Award Number:LC2019A01 China Postdoctoral Science Foundation,G rant/Award Number:2017M620683 National Natural Science Foundation of China,Gr ant/Award Number:81974268 

主  题:breast cancer deeplearning prognosisprediction radiomics ultrasound 

摘      要:Breast cancer is the most common malignant tumor and the leading cause of cancer-related deaths in women *** means of predicting the prognosis of breast cancer are very helpful in guiding treatment and improving patients *** extracted by radiomics reflect the genetic and molecular characteristics of a tumor and are related to its biological behavior and the patient s ***,radiomics provides a new approach to noninvasive assessment of breast cancer *** is one of the commonest clinical means of examining breast *** recent years,some results of research into ultrasound radiomics for diagnosing breast cancer,predicting lymph node status,treatment response,recurrence and survival times,and other aspects,have been *** this article,we review the current research status and technical challenges of ultrasound radiomics for predicting breast cancer *** aim to provide a reference for radiomics researchers,promote the development of ultrasound radiomics,and advance its clinical application.

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