AI-predicted mpMRI image features for the prediction of clinically significant prostate cancer

被引：0
|
作者：
Song Li
Ke-Xin Wang
Jia-Lei Li
Yi He
Xiao-Ying Wang
Wen-Rui Tang
Wen-Hua Xie
Wei Zhu
Peng-Sheng Wu
Xiang-Peng Wang
机构：
[1] Zhejiang Chinese Medical University,School of Basic Medical Sciences
[2] China,Department of Radiology
[3] The Affiliated Hospital of Jiaxing University,undefined
[4] Capital Medical University,undefined
[5] The Affiliated Hospital of Jiaxing University,undefined
[6] Peking University First Hospital,undefined
[7] Beijing Smart Tree Medical Technology Co. Ltd.,undefined
来源：
International Urology and Nephrology | 2023年 / 55卷
关键词：
Gleason score; Prostate cancer; Multiparametric magnetic resonance imaging; Deep learning; International Society of Urological Pathology grade group;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2703 / 2715
页数：12
相关论文
共 50 条
  • [21] A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI
    Sun, Zhaonan
    Wang, Kexin
    Kong, Zixuan
    Xing, Zhangli
    Chen, Yuntian
    Luo, Ning
    Yu, Yang
    Song, Bin
    Wu, Pengsheng
    Wang, Xiangpeng
    Zhang, Xiaodong
    Wang, Xiaoying
    INSIGHTS INTO IMAGING, 2023, 14 (01)
  • [22] The Use of Multiparametric Magnetic Resonance Imaging (mpMRI) in the Detection, Evaluation, and Surveillance of Clinically Significant Prostate Cancer (csPCa)
    Parth Patel
    Shu Wang
    Mohummad Minhaj Siddiqui
    Current Urology Reports, 2019, 20
  • [23] PSA DENSITY (PSAD) ALONE OR WITH MULTIPARAMETRIC MRI (MPMRI) IS ROBUST AT PREDICTING CLINICALLY SIGNIFICANT PROSTATE CANCER (CSPCA)
    Pandya, Shashank S.
    Andreas, Darian
    Nethala, Daniel
    Lee, Jeffrey
    Hall, Simon J.
    JOURNAL OF UROLOGY, 2021, 206 : E506 - E506
  • [24] Variability of mpMRI diagnostic performance according to the upfront individual patient risk of having clinically significant prostate cancer
    Pellegrino, Francesco
    Stabile, Armando
    Sorce, Gabriele
    Mazzone, Elio
    Cannoletta, Donato
    Cirulli, Giuseppe Ottone
    Quarta, Leonardo
    Leni, Riccardo
    Robesti, Daniele
    Brembilla, Giorgio
    Gandaglia, Giorgio
    De Cobelli, Francesco
    Montorsi, Francesco
    Briganti, Alberto
    PROSTATE, 2024, 84 (05): : 473 - 478
  • [25] The learning curve of mpMRI targeted biopsy for the detection of clinically significant prostate cancer is related to the characteristics of the index lesion
    Stabile, A.
    Mazzone, E.
    Barletta, F.
    Bravi, C. A.
    Rosiello, G.
    Cucchiara, V.
    Sorce, G.
    Pellegrino, F.
    Zaffuto, E.
    Brembilla, G.
    Esposito, A.
    Gandaglia, G.
    Fossati, N.
    Gallina, A.
    Deho, F.
    De Cobelli, F.
    Montorsi, F.
    Briganti, A.
    EUROPEAN UROLOGY, 2021, 79 : S1324 - S1325
  • [26] The Use of Multiparametric Magnetic Resonance Imaging (mpMRI) in the Detection, Evaluation, and Surveillance of Clinically Significant Prostate Cancer (csPCa)
    Patel, Parth
    Wang, Shu
    Siddiqui, Mohummad Minhaj
    CURRENT UROLOGY REPORTS, 2019, 20 (10)
  • [27] A multicenter study of artificial intelligence-aided software for detecting visible clinically significant prostate cancer on mpMRI
    Zhaonan Sun
    Kexin Wang
    Zixuan Kong
    Zhangli Xing
    Yuntian Chen
    Ning Luo
    Yang Yu
    Bin Song
    Pengsheng Wu
    Xiangpeng Wang
    Xiaodong Zhang
    Xiaoying Wang
    Insights into Imaging, 14
  • [28] Clinically Significant Prostate cancer at Cystoprostatectomy
    Panayi, Zoe
    Kumar, Manal
    BRITISH JOURNAL OF SURGERY, 2019, 106 : 59 - 59
  • [29] External validation of AI for detecting clinically significant prostate cancer using biparametric MRI
    Zhang, Jun
    Yin, Xuemei
    Wang, Kexin
    Wang, Liang
    Yang, Zhenghan
    Zhang, Yaofeng
    Wu, Pengsheng
    Zhao, Chenglin
    ABDOMINAL RADIOLOGY, 2025, 50 (02) : 784 - 793
  • [30] Prediction of Clinically Significant Cancer Using Radiomics Features of Pre-Biopsy of Multiparametric MRI in Men Suspected of Prostate Cancer
    Ogbonnaya, Chidozie N.
    Zhang, Xinyu
    Alsaedi, Basim S. O.
    Pratt, Norman
    Zhang, Yilong
    Johnston, Lisa
    Nabi, Ghulam
    CANCERS, 2021, 13 (24)
12345