An interpretable MRI-based radiomics model predicting the prognosis of high-intensity focused ultrasound ablation of uterine fibroids

被引:0
|
作者
Chengwei Li
Zhimin He
Fajin Lv
Yang Liu
Yan Hu
Jian Zhang
Hui Liu
Si Ma
Zhibo Xiao
机构
[1] Chongqing Medical University,State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering
[2] The First Affiliated Hospital of Chongqing Medical University,Department of Radiology
来源
关键词
Machine learning; Radiomics; HIFU; Uterine fibroid; Magnetic resonance imaging;
D O I
暂无
中图分类号
学科分类号
摘要
Radiomics models can be used to effectively predict the prognosis of fibroids treated with HIFU.The heterogeneity of fibroids can be characterized by various radiomics features.The application of SHAP can be used to visually explain the prediction process of radiomics models.
引用
收藏
相关论文
共 50 条
  • [11] A Prediction of NPVR ≥ 80% of Ultrasound-Guided High-Intensity Focused Ultrasound Ablation for Uterine Fibroids
    Yang, Mei-Jie
    Yu, Ren-Qiang
    Chen, Wen-Zhi
    Chen, Jin-Yun
    Wang, Zhi-Biao
    FRONTIERS IN SURGERY, 2021, 8
  • [12] Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy
    Theis, Maike
    Tonguc, Tolga
    Savchenko, Oleksandr
    Nowak, Sebastian
    Block, Wolfgang
    Recker, Florian
    Essler, Markus
    Mustea, Alexander
    Attenberger, Ulrike
    Marinova, Milka
    Sprinkart, Alois M.
    INSIGHTS INTO IMAGING, 2023, 14 (01)
  • [13] Deep learning enables automated MRI-based estimation of uterine volume also in patients with uterine fibroids undergoing high-intensity focused ultrasound therapy
    Maike Theis
    Tolga Tonguc
    Oleksandr Savchenko
    Sebastian Nowak
    Wolfgang Block
    Florian Recker
    Markus Essler
    Alexander Mustea
    Ulrike Attenberger
    Milka Marinova
    Alois M. Sprinkart
    Insights into Imaging, 14
  • [14] Evaluation of high-intensity focused ultrasound ablation for uterine fibroids: an IDEAL prospective exploration study
    Chen, J.
    Li, Y.
    Wang, Z.
    McCulloch, P.
    Hu, L.
    Chen, W.
    Liu, G.
    Li, J.
    Lang, J.
    BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY, 2018, 125 (03) : 354 - 364
  • [15] Magnetic resonance imaging parameter-based machine learning for prognosis prediction of high-intensity focused ultrasound ablation of uterine fibroids
    Zhang, Jinwei
    Yang, Chao
    Gong, Chunmei
    Zhou, Ye
    Li, Chenghai
    Li, Faqi
    INTERNATIONAL JOURNAL OF HYPERTHERMIA, 2022, 39 (01) : 835 - 846
  • [16] High-Intensity Focused Ultrasound Ablation of Uterine Fibroids - Potential Impact on Fertility and Pregnancy Outcome
    Bohlmann, M. K.
    Hoellen, F.
    Hunold, P.
    David, M.
    GEBURTSHILFE UND FRAUENHEILKUNDE, 2014, 74 (02) : 139 - 145
  • [17] THE EFFECTS OF HIGH-INTENSITY FOCUSED ULTRASOUND (HIFU) ABLATION TREATMENT FOR UTERINE FIBROIDS ON GENITOURINARY SYMPTOMS
    Loo, Z.
    Jeng, C.
    Lin, K.
    Liu, Y.
    Long, C.
    NEUROUROLOGY AND URODYNAMICS, 2020, 39 : S394 - S395
  • [18] Sonographically Guided Extracorporeal Ablation of Uterine Fibroids With High-Intensity Focused Ultrasound: Midterm Results
    Ren, Xiao-Long
    Zhou, Xiao-Dong
    Yan, Rui-Ling
    Liu, Dan
    Zhang, Jun
    He, Guang-Bin
    Han, Zeng-Hui
    Zheng, Min-Juan
    Yu, Ming
    JOURNAL OF ULTRASOUND IN MEDICINE, 2009, 28 (01) : 100 - 103
  • [19] Factors Influencing the Dosimetry for High-Intensity Focused Ultrasound Ablation of Uterine Fibroids A Retrospective Study
    Peng, Song
    Zhang, Lian
    Hu, Liang
    Chen, Jinyun
    Ju, Jin
    Wang, Xi
    Zhang, Rong
    Wang, Zhibiao
    Chen, Wenzhi
    MEDICINE, 2015, 94 (13)
  • [20] Sonographic features of uterine fibroids that predict the ablation rate and efficacy of high-intensity focused ultrasound
    Xue, Hailan
    Wu, Songsong
    Xiao, Kunhong
    Ding, Guisheng
    Chen, Sheng
    FRONTIERS IN ONCOLOGY, 2024, 14