A novel radiomics based on multi-parametric magnetic resonance imaging for predicting Ki-67 expression in rectal cancer: a multicenter study

被引:0
|
作者
Xiuzhen Yao
Weiqun Ao
Xiandi Zhu
Shuyuan Tian
Xiaoyu Han
Jinwen Hu
Wenjie Xu
Guoqun Mao
Shuitang Deng
机构
[1] Tongji University,Department of Ultrasound, Putuo People’s Hospital, School of Medicine
[2] Tongde Hospital of Zhejiang Province,Department of Radiology
[3] Tongde Hospital of Zhejiang Province,Department of Ultrasound
[4] Tongde Hospital of Zhejiang Province,Department of Pathology
[5] Tongji University,Department of Radiology, Putuo People’s Hospital, School of Medicine
[6] Zhejiang Chinese Medical University,undefined
来源
关键词
Rectal cancer; Multi-parametric; Radiomics; Ki-67; Magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [21] Predicting of Ki-67 Expression Level Using Diffusion-Weighted and Synthetic Magnetic Resonance Imaging in Invasive Ductal Breast Cancer
    Zhang, Liying
    Hao, Jisen
    Guo, Jia
    Zhao, Xin
    Yin, Xing
    BREAST JOURNAL, 2023, 2023
  • [22] Interpretable model based on MRI radiomics to predict the expression of Ki-67 in breast cancer
    Li Zhang
    Qinglin Du
    Mengyi Shen
    Xin He
    Dingyi Zhang
    Xiaohua Huang
    Scientific Reports, 15 (1)
  • [23] Radiomics of dynamic contrast-enhanced magnetic resonance imaging parametric maps and apparent diffusion coefficient maps to predict Ki-67 status in breast cancer
    Feng, Shuqian
    Yin, Jiandong
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [24] CT-based radiomics for predicting Ki-67 expression in lung cancer: a systematic review and meta-analysis
    Luo, Xinmin
    Zheng, Renying
    Zhang, Jiao
    He, Juan
    Luo, Wei
    Jiang, Zhi
    Li, Qiang
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [25] Quantification of Multi-Parametric Magnetic Resonance Imaging Based on Radiomics Analysis for Differentiation of Benign and Malignant Lesions of Prostate
    Koopaei S.
    Kazerooni A.F.
    Ghafoori M.
    Alviri M.
    Pashaei F.
    Rad H.S.
    Journal of Biomedical Physics and Engineering, 2023, 13 (03): : 251 - 260
  • [26] Multi-parametric MRI radiomics for predicting response to neoadjuvant therapy in patients with locally advanced rectal cancer
    Zhu, Wenliang
    Xu, Yisheng
    Zhu, Hanlin
    Qiu, Baohua
    Zhan, Ming
    Wang, Hongjie
    JAPANESE JOURNAL OF RADIOLOGY, 2024, 42 (12) : 1448 - 1457
  • [27] Multi-parametric magnetic resonance imaging assessment of whole tumour heterogeneity for chemoradiotherapy response prediction in rectal cancer
    Pham, Trang Thanh
    Liney, Gary
    Wong, Karen
    Henderson, Christopher
    Rai, Robba
    Graham, Petra L.
    Borok, Nira
    Truong, Minh Xuan
    Lee, Mark
    Shin, Joo-Shik
    Hudson, Malcolm
    Barton, Michael B.
    PHYSICS & IMAGING IN RADIATION ONCOLOGY, 2021, 18 : 26 - 33
  • [28] Intratumoral analysis of digital breast tomosynthesis for predicting the Ki-67 level in breast cancer: A multi-center radiomics study
    Jiang, Tao
    Jiang, Wenyan
    Chang, Shijie
    Wang, Hongbo
    Niu, Shuxian
    Yue, Zhibin
    Yang, Huazhe
    Wang, Xiaoyu
    Zhao, Nannan
    Fang, Siqi
    Luo, Yahong
    Jiang, Xiran
    MEDICAL PHYSICS, 2022, 49 (01) : 219 - 230
  • [29] MRI-Based Radiomics Methods for Predicting Ki-67 Expression in Breast Cancer: A Systematic Review and Meta-analysis
    Tabnak, Peyman
    HajiEsmailPoor, Zanyar
    Baradaran, Behzad
    Pashazadeh, Fariba
    Maleki, Leili Aghebati
    ACADEMIC RADIOLOGY, 2024, 31 (03) : 763 - 787
  • [30] Predicting Ki-67 expression levels in breast cancer using radiomics-based approaches on digital breast tomosynthesis and ultrasound
    Liu, Jie
    Yan, Caiying
    Liu, Chenlu
    Wang, Yanxiao
    Chen, Qian
    Chen, Ying
    Guo, Jianfeng
    Chen, Shuangqing
    FRONTIERS IN ONCOLOGY, 2024, 14