Lesional identification and grading reproducibility in prostate cancer specimens

被引：0
|
作者：
Mucci, NR [1 ]
Strawderman, M [1 ]
Wojno, K [1 ]
机构：
[1] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA
来源：
MODERN PATHOLOGY | 1998年 / 11卷 / 01期
关键词：
D O I：
暂无
中图分类号：
R36 [病理学];
学科分类号：
100104 ;
摘要：
引用
收藏
页码：90A / 90A
页数：1
相关论文
共 50 条
  • [1] Reproducibility of Gleason grading of prostate cancer can be improved by the use of reference images
    Egevad, L
    UROLOGY, 2001, 57 (02) : 291 - 295
  • [2] Interobserver reproducibility of gleason grading of prostate carcinoma
    Oyama, T
    Allsbrook, W
    Kurokawa, K
    Mikami, Y
    Segawa, A
    Sano, T
    Nakajima, T
    Suzuki, K
    Mangold, K
    Epstein, J
    LABORATORY INVESTIGATION, 2003, 83 (01) : 164A - 165A
  • [3] Considerations on current and future issues related to reproducibility and accuracy in prostate cancer grading
    Rodolfo Montironi
    Alessia Cimadamore
    Virchows Archiv, 2021, 478 : 375 - 377
  • [4] Considerations on current and future issues related to reproducibility and accuracy in prostate cancer grading
    Montironi, Rodolfo
    Cimadamore, Alessia
    VIRCHOWS ARCHIV, 2021, 478 (02) : 375 - 377
  • [5] Interobserver reproducibility of Gleason grading:: evaluation using prostate cancer tissue microarrays
    Burchardt, M.
    Engers, R.
    Mueller, M.
    Burchardt, T.
    Willers, R.
    Epstein, J. I.
    Ackermann, R.
    Gabbert, H. E.
    de la Taille, A.
    Rubin, M. A.
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2008, 134 (10) : 1071 - 1078
  • [6] Interobserver reproducibility of Gleason grading: evaluation using prostate cancer tissue microarrays
    M. Burchardt
    R. Engers
    M. Müller
    T. Burchardt
    R. Willers
    J. I. Epstein
    R. Ackermann
    H. E. Gabbert
    A. de la Taille
    M. A. Rubin
    Journal of Cancer Research and Clinical Oncology, 2008, 134 : 1071 - 1078
  • [7] Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading
    Lars Egevad
    Daniela Swanberg
    Brett Delahunt
    Peter Ström
    Kimmo Kartasalo
    Henrik Olsson
    Dan M. Berney
    David G. Bostwick
    Andrew J. Evans
    Peter A. Humphrey
    Kenneth A. Iczkowski
    James G. Kench
    Glen Kristiansen
    Katia R. M. Leite
    Jesse K. McKenney
    Jon Oxley
    Chin-Chen Pan
    Hemamali Samaratunga
    John R. Srigley
    Hiroyuki Takahashi
    Toyonori Tsuzuki
    Theo van der Kwast
    Murali Varma
    Ming Zhou
    Mark Clements
    Martin Eklund
    Virchows Archiv, 2020, 477 : 777 - 786
  • [8] Identification of areas of grading difficulties in prostate cancer and comparison with artificial intelligence assisted grading
    Egevad, Lars
    Swanberg, Daniela
    Delahunt, Brett
    Strom, Peter
    Kartasalo, Kimmo
    Olsson, Henrik
    Berney, Dan M.
    Bostwick, David G.
    Evans, Andrew J.
    Humphrey, Peter A.
    Iczkowski, Kenneth A.
    Kench, James G.
    Kristiansen, Glen
    Leite, Katia R. M.
    McKenney, Jesse K.
    Oxley, Jon
    Pan, Chin-Chen
    Samaratunga, Hemamali
    Srigley, John R.
    Takahashi, Hiroyuki
    Tsuzuki, Toyonori
    van der Kwast, Theo
    Varma, Murali
    Zhou, Ming
    Clements, Mark
    Eklund, Martin
    VIRCHOWS ARCHIV, 2020, 477 (06) : 777 - 786
  • [9] Recent Trends in Gleason Grading of Prostate Cancer II. Prognosis, Reproducibility and Reporting
    Egevad, Lars
    ANALYTICAL AND QUANTITATIVE CYTOLOGY AND HISTOLOGY, 2008, 30 (05): : 254 - 260
  • [10] Photoacoustic Spectrum Analysis for Quick Identification and Grading of Prostate Cancer
    Wu, Shiying
    Chen, Yingna
    Huang, Shengsong
    Xu, Chengdang
    Wu, Denglong
    Cheng, Qian
    PROCEEDINGS OF THE 2020 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS), 2020,
12345