Clinical analysis of optimized neural network risk models to predict clinically significant prostate cancer and avoid unnecessary prostate biopsies

被引：0
|
作者：
Wallis, Christopher J. D.
Paproski, Robert J.
Pink, Desmond
Vasquez, Catalina
Fairey, Adrian S.
Hyndman, M. Eric
Aprikian, Armen G.
Kinnaird, Adam
Beatty, Perrin
Pavlovich, Christian P.
Marks, Leonard S.
Lewis, John D.
机构：
[1] Univ Toronto, Univ Hlth Network, Div Urol & Surg Oncol, Dept Surg,Princess Margaret Canc Ctr, Toronto, ON, Canada
[2] Nanostics Inc, Edmonton, AB, Canada
[3] Nanostics, Edmonton, AB, Canada
[4] Univ Alberta, Edmonton, AB, Canada
[5] Univ Calgary, Calgary, AB, Canada
[6] McGill Univ, Div Urol, Dept Surg, Montreal, PQ, Canada
[7] Johns Hopkins, Baltimore, MD USA
[8] UCLA Hlth, Los Angeles, CA USA
来源：
JOURNAL OF CLINICAL ONCOLOGY | 2023年 / 41卷 / 16期
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
5023
引用
收藏
页数：1
相关论文
共 50 条
  • [1] Clinical validation of optimized neural network risk models to predict grade group 2 and above prostate cancer and avoid unneeded biopsies
    Paproski, R. J.
    Pink, D. B.
    Pham, D.
    Vasquez, C.
    Fairey, A.
    Hyndman, M. E.
    Aprikian, A.
    Kinnaird, A.
    Beatty, P. H.
    Pavlovich, C.
    Lewis, J. D.
    [J]. EUROPEAN UROLOGY, 2023, 83 : S91 - S92
  • [2] Prostate Recognize significant cancers and avoid unnecessary Biopsies
    Weiss, Maria
    [J]. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN, 2015, 187 (07): : 524 - 524
  • [3] The current value of histological findings in negative prostate biopsies to predict the future risk of clinically significant prostate cancer
    Schwartzmann, I
    Celma, A.
    Regis, L.
    Planas, J.
    Roche, S.
    de Torres, I. M.
    Semidey, M. E.
    Morote, J.
    [J]. ACTAS UROLOGICAS ESPANOLAS, 2021, 45 (06): : 447 - 454
  • [4] MPMRI IS HELPING TO AVOID UNNECESSARY PROSTATE BIOPSIES IN THE DIAGNOSTIC WORK-UP OF PROSTATE CANCER
    Pepdjonovic, Lana
    Huang, S.
    Dat, A.
    Mann, S.
    Frydenberg, M.
    Moon, D.
    Hanegbi, U.
    Landau, A.
    Snow, R.
    O'Sullivan, R.
    Ryan, A.
    Grummet, J.
    [J]. ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2016, 12 : 39 - 39
  • [5] mpMRI is helping to avoid unnecessary prostate biopsies in the diagnostic work-up of prostate cancer
    Pepdjonovic, Lana
    Huang, Sean
    Dat, Anthony
    Mann, Sarah
    Frydenberg, Mark
    Moon, Daniel
    Snow, Ross
    Hanegbi, Uri
    Landau, Adam
    O'Sullivan, Richard
    Ryan, Andrew
    Grummet, Jeremy
    [J]. BJU INTERNATIONAL, 2016, 118 : 17 - 17
  • [6] Validating fPSA Glycoprofile as a Prostate Cancer Biomarker to Avoid Unnecessary Biopsies and Re-Biopsies
    Bertok, Tomas
    Jane, Eduard
    Bertokova, Aniko
    Lorencova, Lenka
    Zvara, Peter
    Smolkova, Bozena
    Kucera, Radek
    Klocker, Helmut
    Tkac, Jan
    [J]. CANCERS, 2020, 12 (10) : 1 - 10
  • [7] The use of prostate specific antigen density to predict clinically significant prostate cancer
    Igor Yusim
    Muhammad Krenawi
    Elad Mazor
    Victor Novack
    Nicola J. Mabjeesh
    [J]. Scientific Reports, 10
  • [8] The use of prostate specific antigen density to predict clinically significant prostate cancer
    Yusim, Igor
    Krenawi, Muhammad
    Mazor, Elad
    Novack, Victor
    Mabjeesh, Nicola J.
    [J]. SCIENTIFIC REPORTS, 2020, 10 (01)
  • [9] Comparison of prostate risk calculators for the detection of clinically significant prostate cancer
    Doan, Paul
    Lahoud, John
    Kim, Lawrence Hyun Chul
    Patel, Manish Indravan
    [J]. INTERNATIONAL JOURNAL OF UROLOGY, 2020, 27 : 136 - 136
  • [10] Prediction of clinically significant prostate cancer using polygenic risk models in Asians
    Song, Sang Hun
    Kim, Eunae
    Woo, Eunjin
    Kwon, Eunkyung
    Yoon, Sungroh
    Kim, Jung Kwon
    Lee, Hakmin
    Oh, Jong Jin
    Lee, Sangchul
    Hong, Sung Kyu
    Byun, Seok-Soo
    [J]. INVESTIGATIVE AND CLINICAL UROLOGY, 2022, 63 (01) : 42 - 52
12345