An ultrasound-based radiomics model for survival prediction in patients with endometrial cancer (vol 50, pg 501, 2023)

被引:0
|
作者
Huang, Xiao-wan [1 ]
Ding, Jie [3 ]
Zheng, Ru-ru [1 ]
Ma, Jia-yao [1 ]
Cai, Meng-ting [4 ]
Powell, Martin [5 ]
Lin, Feng [1 ]
Yang, Yun-jun [4 ]
Jin, Chu [2 ]
机构
[1] Wenzhou Med Univ, Dept Gynecol, Affiliated Hosp 1, Wenzhou 325000, Peoples R China
[2] Wenzhou Med Univ, Renji Coll, Wenzhou 325000, Peoples R China
[3] Wenzhou Med Univ, Yueqing Hosp, Dept Ultrasound Imaging, Wenzhou 325015, Peoples R China
[4] Wenzhou Med Univ, Affiliated Hosp 1, Dept Radiol, Wenzhou 325000, Peoples R China
[5] Univ Nottingham, Nottingham Treatment Ctr, Affiliated Hosp, Nottingham NG7 2FT, England
关键词
D O I
10.1007/s10396-024-01438-8
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:545 / 545
页数:1
相关论文
共 50 条
  • [31] A survival prediction model by radiomics in elderly esophageal cancer patients after radiotherapy
    Nishibuchi, Ikuno
    Kawahara, Daisuke
    Tanaka, Kantatsu
    Nishioka, Riku
    Sadatoki, Takashi
    Katsuta, Tsuyoshi
    Imano, Nobuki
    Hirokawa, Junichi
    RADIOTHERAPY AND ONCOLOGY, 2024, 194 : S2245 - S2246
  • [32] An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial Cancer
    Li, Xingfeng
    Marcus, Diana
    Russell, James
    Aboagye, Eric O.
    Ellis, Laura Burney
    Sheeka, Alexander
    Park, Won-Ho Edward
    Bharwani, Nishat
    Ghaem-Maghami, Sadaf
    Rockall, Andrea G.
    JOURNAL OF MAGNETIC RESONANCE IMAGING, 2023, 57 (06) : 1922 - 1933
  • [33] Intratumoral and peritumoral ultrasound-based radiomics for preoperative prediction of HER2-low breast cancer: a multicenter retrospective study
    Luo, Siwei
    Chen, Xiaobo
    Yao, Mengxia
    Ying, Yuanlin
    Huang, Zena
    Zhou, Xiaoya
    Liao, Zuwei
    Zhang, Lijie
    Hu, Na
    Huang, Chunwang
    INSIGHTS INTO IMAGING, 2025, 16 (01):
  • [34] Development and external validation of new ultrasound-based mathematical models for preoperative prediction of high-risk endometrial cancer
    Van Holsbeke, C.
    Ameye, L.
    Testa, A. C.
    Mascilini, F.
    Lindqvist, P.
    Fischerova, D.
    Fruehauf, F.
    Fransis, S.
    de Jonge, E.
    Timmerman, D.
    Epstein, E.
    ULTRASOUND IN OBSTETRICS & GYNECOLOGY, 2014, 43 (05) : 586 - 595
  • [35] Development of an ultrasound-based radiomics nomogram to preoperatively predict Ki-67 expression level in patients with breast cancer
    Liu, Jinjin
    Wang, Xuchao
    Hu, Mengshang
    Zheng, Yan
    Zhu, Lin
    Wang, Wei
    Hu, Jisu
    Zhou, Zhiyong
    Dai, Yakang
    Dong, Fenglin
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [36] A prediction model based on deep learning and radiomics features of DWI for the assessment of microsatellite instability in endometrial cancer
    Wang, Jing
    Song, Pujiao
    Zhang, Meng
    Liu, Wei
    Zeng, Xi
    Chen, Nanshan
    Li, Yuxia
    Wang, Minghua
    CANCER MEDICINE, 2024, 13 (16):
  • [37] An MRI-based radiomics nomogram to predict progression-free survival in patients with endometrial cancer
    Liu, Ling
    Ji, Xiaodong
    Liang, Caihong
    Zhu, Jinxia
    Huang, Lixiang
    Zhao, Yujiao
    Xu, Xiangfeng
    Song, Zhiyi
    Shen, Wen
    FUTURE ONCOLOGY, 2024,
  • [38] Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy
    Jinfeng Cui
    Li Li
    Ning Liu
    Wenhong Hou
    Yinjun Dong
    Fengchang Yang
    Shouhui Zhu
    Jun Li
    Shuanghu Yuan
    Biomarker Research, 11
  • [39] Model integrating CT-based radiomics and genomics for survival prediction in esophageal cancer patients receiving definitive chemoradiotherapy
    Cui, Jinfeng
    Li, Li
    Liu, Ning
    Hou, Wenhong
    Dong, Yinjun
    Yang, Fengchang
    Zhu, Shouhui
    Li, Jun
    Yuan, Shuanghu
    BIOMARKER RESEARCH, 2023, 11 (01)
  • [40] Treatment Response Prediction Using Ultrasound-Based Pre-, Post-Early, and Delta Radiomics in Neoadjuvant Chemotherapy in Breast Cancer
    Yang, Min
    Liu, Huan
    Dai, Qingli
    Yao, Ling
    Zhang, Shun
    Wang, Zhihong
    Li, Jing
    Duan, Qinghong
    FRONTIERS IN ONCOLOGY, 2022, 12