MACHINE LEARNING IMPROVES DETECTION OF CLINICALLY SIGNIFICANT PROSTATE CANCER IN EQUIVOCAL LESIONS ON MPMRI

被引:0
|
作者
Rappaport, Maxime D.
Bhattacharya, Indrani
Fan, Richard E.
Rusu, Mirabela
Sonn, Geoffrey A.
机构
来源
JOURNAL OF UROLOGY | 2021年 / 206卷
关键词
D O I
暂无
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
MP43-03
引用
收藏
页码:E782 / E782
页数:1
相关论文
共 50 条
  • [31] DIAGNOSTIC ACCURACY OF MPMRI-US FUSION AND MICRO-ULTRASOUND GUIDED PROSTATE BIOPSIES FOR CLINICALLY SIGNIFICANT PROSTATE CANCER DETECTION
    Maffei, Davide
    Paciotti, Marco
    Avolio, Pier Paolo
    Frego, Nicola
    Fasulo, Vittorio
    Pietro, Diana
    Contieri, Roberto
    Uleri, Alessandro
    Lazzeri, Massimo
    Hurle, Rodolfo
    Saita, Alberto Rosario
    Casale, Paolo
    Guazzoni, Giorgio Ferruccio
    Buffi, Nicolo Maria
    Lughezzani, Giovanni
    JOURNAL OF UROLOGY, 2021, 206 : E502 - E503
  • [32] Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis
    Renato Cuocolo
    Maria Brunella Cipullo
    Arnaldo Stanzione
    Valeria Romeo
    Roberta Green
    Valeria Cantoni
    Andrea Ponsiglione
    Lorenzo Ugga
    Massimo Imbriaco
    European Radiology, 2020, 30 : 6877 - 6887
  • [33] Machine learning for the identification of clinically significant prostate cancer on MRI: a meta-analysis
    Cuocolo, Renato
    Cipullo, Maria Brunella
    Stanzione, Arnaldo
    Romeo, Valeria
    Green, Roberta
    Cantoni, Valeria
    Ponsiglione, Andrea
    Ugga, Lorenzo
    Imbriaco, Massimo
    EUROPEAN RADIOLOGY, 2020, 30 (12) : 6877 - 6887
  • [34] Clinically significant prostate cancer detection rate in biopsy-naive patients with mpMRI and microultrasound topographically discordant lesions: A single-center prospective analysis
    Dagnino, F.
    Avolio, P.
    Maffei, D.
    Aljoulani, M.
    Piccolini, A.
    De Carne, F.
    Moretto, S.
    Fasulo, V
    Paciotti, M. P.
    Saitta, C.
    Beatrici, E.
    Saita, A.
    Hurle, R. H.
    Lazzeri, M.
    Casale, P.
    Buffi, N. M.
    Lughezzani, G.
    EUROPEAN UROLOGY, 2024, 85 : S1096 - S1096
  • [35] Developing a predictive model for clinically significant prostate cancer by combining age, PSA density, and mpMRI
    Ma, Zengni
    Wang, Xinchao
    Zhang, Wanchun
    Gao, Kaisheng
    Wang, Le
    Qian, Lixia
    Mu, Jingjun
    Zheng, Zhongyi
    Cao, Xiaoming
    WORLD JOURNAL OF SURGICAL ONCOLOGY, 2023, 21 (01)
  • [36] The combined value of mpUS and mpMRI-TRUS fusion for the diagnosis of clinically significant prostate cancer
    Xin Zhang
    Hua Hong
    Danyan Liang
    Cancer Imaging, 22
  • [37] Developing a predictive model for clinically significant prostate cancer by combining age, PSA density, and mpMRI
    Zengni Ma
    Xinchao Wang
    Wanchun Zhang
    Kaisheng Gao
    Le Wang
    Lixia Qian
    Jingjun Mu
    Zhongyi Zheng
    Xiaoming Cao
    World Journal of Surgical Oncology, 21
  • [38] Tumor Physiology and Clinically Significant Prostate Cancer Detection
    Goh, Vicky
    RADIOLOGY, 2023, 306 (01) : 200 - 201
  • [39] Multiparametric MRI in the Detection of Clinically Significant Prostate Cancer
    Futterer, Jurgen J.
    KOREAN JOURNAL OF RADIOLOGY, 2017, 18 (04) : 597 - 606
  • [40] The combined value of mpUS and mpMRI-TRUS fusion for the diagnosis of clinically significant prostate cancer
    Zhang, Xin
    Hong, Hua
    Liang, Danyan
    CANCER IMAGING, 2022, 22 (01)