Preoperative classification of primary and metastatic liver cancer via machine learning-based ultrasound radiomics

被引:2
|
作者
Bing Mao
Jingdong Ma
Shaobo Duan
Yuwei Xia
Yaru Tao
Lianzhong Zhang
机构
[1] Henan Provincial People’s Hospital,School of Medicine and Health Management
[2] Zhengzhou University People’s Hospital,undefined
[3] Henan University People’s Hospital,undefined
[4] Huazhong University of Science and Technology,undefined
[5] Huiying Medical Technology (Beijing) Co.,undefined
[6] Ltd,undefined
[7] Zhengzhou University,undefined
来源
European Radiology | 2021年 / 31卷
关键词
Ultrasonography; Machine learning; Liver neoplasms; Radiomics;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:4576 / 4586
页数:10
相关论文
共 50 条
  • [41] Machine learning-based CT radiomics enhances bladder cancer staging predictions: A comparative study of clinical, radiomics, and combined models
    Xiong, Situ
    Fu, Zhehong
    Deng, Zhikang
    Li, Sheng
    Zhan, Xiangpeng
    Zheng, Fuchun
    Yang, Hailang
    Liu, Xiaoqiang
    Xu, Songhui
    Liu, Hao
    Fan, Bing
    Dong, Wentao
    Song, Yanping
    Fu, Bin
    MEDICAL PHYSICS, 2024, : 5965 - 5977
  • [42] Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
    Wang, Qiang
    Xu, Jianhua
    Wang, Anrong
    Chen, Yi
    Wang, Tian
    Chen, Danyu
    Zhang, Jiaxing
    Brismar, Torkel B. B.
    RADIOLOGIA MEDICA, 2023, 128 (02): : 136 - 148
  • [43] Machine learning-based radiomics prognostic model for patients with proximal esophageal cancer after definitive chemoradiotherapy
    Li, Linrui
    Qin, Zhihui
    Bo, Juan
    Hu, Jiaru
    Zhang, Yu
    Qian, Liting
    Dong, Jiangning
    INSIGHTS INTO IMAGING, 2024, 15 (01):
  • [44] Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
    Qiang Wang
    Jianhua Xu
    Anrong Wang
    Yi Chen
    Tian Wang
    Danyu Chen
    Jiaxing Zhang
    Torkel B. Brismar
    La radiologia medica, 2023, 128 : 136 - 148
  • [45] Machine learning-based radiomics analysis for predicting local recurrence of primary dermatofibrosarcoma protuberans after surgical treatment
    Cao, Cuixiang
    Yi, Zhilong
    Xie, Mingwei
    Xie, Yang
    Tang, Xin
    Tu, Bin
    Gao, Yifeng
    Wan, Miaojian
    RADIOTHERAPY AND ONCOLOGY, 2023, 186
  • [46] MACHINE LEARNING?BASED ULTRASOUND RADIOMICS FOR EVALUATING THE FUNCTION OF TRANSPLANTED KIDNEYS
    Zhu, Lili
    Huang, Renjun
    Li, Ming
    Fan, Qingmin
    Zhao, Xiaojun
    Wu, Xiaofeng
    Dong, Fenglin
    ULTRASOUND IN MEDICINE AND BIOLOGY, 2022, 48 (08) : 1441 - 1452
  • [47] Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study
    Wang, Li-Fan
    Wang, Qiao
    Mao, Feng
    Xu, Shi-Hao
    Sun, Li-Ping
    Wu, Ting-Fan
    Zhou, Bo-Yang
    Yin, Hao-Hao
    Shi, Hui
    Zhang, Ya-Qin
    Li, Xiao-Long
    Sun, Yi-Kang
    Lu, Dan
    Tang, Cong-Yu
    Yuan, Hai-Xia
    Zhao, Chong-Ke
    Xu, Hui-Xiong
    EUROPEAN RADIOLOGY, 2023, 33 (12) : 8899 - 8911
  • [48] Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study
    Li-Fan Wang
    Qiao Wang
    Feng Mao
    Shi-Hao Xu
    Li-Ping Sun
    Ting-Fan Wu
    Bo-Yang Zhou
    Hao-Hao Yin
    Hui Shi
    Ya-Qin Zhang
    Xiao-Long Li
    Yi-Kang Sun
    Dan Lu
    Cong-Yu Tang
    Hai-Xia Yuan
    Chong-Ke Zhao
    Hui-Xiong Xu
    European Radiology, 2023, 33 : 8899 - 8911
  • [49] Machine Learning Model Based on Radiomics for Preoperative Differentiation of Jaw Cystic Lesions
    Fang, Songling
    Wang, Yuepeng
    He, Yilin
    Yu, Taihui
    Xie, Yutong
    Cai, Yongkang
    Li, Wenhao
    Wang, Yan
    Huang, Zhiquan
    OTOLARYNGOLOGY-HEAD AND NECK SURGERY, 2024, 170 (06) : 1561 - 1569
  • [50] Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis
    Li, Wei
    Huang, Yang
    Zhuang, Bo-Wen
    Liu, Guang-Jian
    Hu, Hang-Tong
    Li, Xin
    Liang, Jin-Yu
    Wang, Zhu
    Huang, Xiao-Wen
    Zhang, Chu-Qing
    Ruan, Si-Min
    Xie, Xiao-Yan
    Kuang, Ming
    Lu, Ming-De
    Chen, Li-Da
    Wang, Wei
    EUROPEAN RADIOLOGY, 2019, 29 (03) : 1496 - 1506