Editorial Comment: MRI-Based Machine Learning Model for Prediction of Recurrence in Early-Stage Hepatocellular Carcinoma

被引：0
|
作者：
Borhani, Amir A. [1 ]
机构：
[1] Northwestern Univ, Feinberg Sch Med, Chicago, IL 60611 USA
来源：
AMERICAN JOURNAL OF ROENTGENOLOGY | 2023年 / 220卷 / 02期
关键词：
D O I：
10.2214/AJR.22.28432
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
引用
收藏
页码：256 / 256
页数：1
相关论文
共 50 条
  • [1] CT- and MRI-based Factors Associated with Rapid Growth in Early-Stage Hepatocellular Carcinoma
    Jang, Hyeon Ji
    Choi, Sang Hyun
    Wee, Sungwoo
    Choi, Se Jin
    Byun, Jae Ho
    Won, Hyung Jin
    Shin, Yong Moon
    Sirlin, Claude B.
    RADIOLOGY, 2024, 313 (03)
  • [2] Nomogram built based on machine learning to predict recurrence in early-stage hepatocellular carcinoma patients treated with ablation
    Zhang, Honghai
    Sheng, Shugui
    Qiao, Wenying
    Sun, Yu
    Jin, Ronghua
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [3] Editorial for "Preoperative Prediction of MRI-Invisible Early-Stage Endometrial Cancer With MRI-Based Radiomics Analysis"
    Ohliger, Michael A.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 58 (01) : 256 - 257
  • [4] Correspondence to editorial on "Conventional and machine learning-based risk scores for patients with early-stage hepatocellular carcinoma"
    Ho, Chun-Ting
    Tan, Elise Chia-Hui
    Su, Chien-Wei
    CLINICAL AND MOLECULAR HEPATOLOGY, 2024, 30 (04)
  • [5] Prediction of hepatocellular carcinoma response to radiation segmentectomy using an MRI-based machine learning approach
    Stocker, Daniel
    Hectors, Stefanie
    Marinelli, Brett
    Carbonell, Guillermo
    Bane, Octavia
    Hulkower, Miriam
    Kennedy, Paul
    Ma, Weiping
    Lewis, Sara
    Kim, Edward
    Wang, Pei
    Taouli, Bachir
    ABDOMINAL RADIOLOGY, 2024, : 2000 - 2011
  • [6] Machine Learning Models for Prediction of Posttreatment Recurrence in Early-Stage Hepatocellular Carcinoma Using Pretreatment Clinical and MRI Features: A Proof- of- Concept Study
    Iseke, Simon
    Zeevi, Tal
    Kucukkaya, Ahmet S.
    Raju, Rajiv
    Gross, Moritz
    Haider, Stefan P.
    Petukhova-Greenstein, Alexandra
    Kuhn, Tom N.
    Lin, MingDe
    Nowak, Michal
    Cooper, Kirsten
    Thomas, Elizabeth
    Weber, Marc-Andre
    Madoff, David C.
    Staib, Lawrence
    Batra, Ramesh
    Chapiro, Julius
    AMERICAN JOURNAL OF ROENTGENOLOGY, 2023, 220 (02) : 245 - 255
  • [7] Carboxypeptidase E is a prediction marker for tumor recurrence in early-stage hepatocellular carcinoma
    Huang, Shiu-Feng
    Wu, Hong-Dar Isaac
    Chen, Ya-Ting
    Murthy, Saravana R. K.
    Chiu, Yu-Ting
    Chang, Yu
    Chang, Il-Chi
    Yang, Xuyu
    Loh, Y. Peng
    TUMOR BIOLOGY, 2016, 37 (07) : 9745 - 9753
  • [8] Exploring Pathological Signatures for Predicting Recurrence of Early-stage Hepatocellular Carcinoma Based on Deep Learning
    Shi, Yinghong
    Qu, Weifeng
    Tian, Mengxin
    Qiu, Jingtao
    Qian, Kun
    Wang, Zhixun
    Liu, Weiren
    Tang, Zheng
    Zou, Hao
    Hou, Yingyong
    BRITISH JOURNAL OF SURGERY, 2021, 108
  • [9] Exploring pathological signatures for predicting the recurrence of early-stage hepatocellular carcinoma based on deep learning
    Qu, Wei-Feng
    Tian, Meng-Xin
    Qiu, Jing-Tao
    Guo, Yu-Cheng
    Tao, Chen-Yang
    Liu, Wei-Ren
    Tang, Zheng
    Qian, Kun
    Wang, Zhi-Xun
    Li, Xiao-Yu
    Hu, Wei-An
    Zhou, Jian
    Fan, Jia
    Zou, Hao
    Hou, Ying-Yong
    Shi, Ying-Hong
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [10] Prediction of local tumor progression after microwave ablation for early-stage hepatocellular carcinoma with machine learning
    Ren, He
    An, Chao
    Fu, Wanxi
    Wu, Jingyan
    Yao, Wenhuan
    Yu, Jie
    Liang, Ping
    JOURNAL OF CANCER RESEARCH AND THERAPEUTICS, 2023, 19 (04) : 978 - 987
12345