Current magnetic resonance imaging-based diagnostic strategies for prostate cancer

被引:5
|
作者
Inoue, Toru [1 ]
Shin, Toshitaka [1 ,2 ]
机构
[1] Oita Univ, Dept Urol, Fac Med, Oita, Japan
[2] Oita Univ, Fac Med, Dept Urol, Idaigaoka 1-1,Hasama Machi, Yufu, Oita 8795593, Japan
关键词
clinically significant cancer; MRI; prostate cancer; targeted biopsy; MRI-TARGETED BIOPSY; SYSTEM; ACCURACY; MODEL;
D O I
10.1111/iju.15281
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
Recent developments in multiparametric MRI and MRI-targeted biopsy have made it possible to detect clinically significant cancers more accurately and efficiently than ever before. Furthermore, software that enables easy MRI/US image fusion has been developed and is already available on the market, and this has provided a tailwind for the spread of MRI-based prostate cancer diagnostic strategies. Such precise diagnosis of prostate cancer localization is essential for highly accurate focal therapy. In addition, a recent large-scale study applying MRI to community screening for prostate cancer has reported its usefulness. By contrast, concerns about overdiagnosis and overtreatment, the existence of inter-reader variability in MRI diagnosis, and issues with current MRI-targeted biopsy have emerged. In this article, we review the development of multiparametric MRI and MRI-targeted biopsy to date and the current issues and discuss future directions.
引用
收藏
页码:1078 / 1086
页数:9
相关论文
共 50 条
  • [1] Superfast Magnetic Resonance Imaging-based Diagnostic Pathway for Prostate Cancer
    Pereira, Leonor Jane Paulino
    Heetman, Joris G.
    Bergh, Roderick C. N.
    van Melick, Harm H. E.
    EUROPEAN UROLOGY OPEN SCIENCE, 2022, 46 : 30 - 32
  • [2] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk
    Bianchi, Giampaolo
    Sighinolfi, Maria Chiara
    Rocco, Bernardo
    JAMA ONCOLOGY, 2018, 4 (11) : 1624 - 1625
  • [3] Imaging-based Diagnostic and Therapeutic Strategies for Prostate Cancer in the Coming Decades
    Padhani, Anwar R.
    Schoots, Ivo G.
    RADIOLOGY, 2023, 307 (05)
  • [4] Magnetic Resonance Imaging-Based Prediction of Prostate Cancer Risk Reply
    Mehralivand, Sherif
    Shih, Joanna
    Turkbey, Baris
    JAMA ONCOLOGY, 2018, 4 (11) : 1625 - 1625
  • [5] A SelectMDx/magnetic resonance imaging-based nomogram to diagnose prostate cancer
    Wagaskar, Vinayak G.
    Levi, Micah
    Ratnani, Parita
    Sullimada, Sharmila
    Gerenia, Mae
    Schlussel, Kacie
    Choudhury, Samia
    Gabriele, Marla
    Haas, Ian
    Haines, Kenneth, III
    Tewari, Ash
    CANCER REPORTS, 2023, 6 (01)
  • [6] A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer
    Greer, Peter B.
    Dowling, Jason A.
    Lambert, Jonathon A.
    Fripp, Jurgen
    Parker, Joel
    Denham, James W.
    Wratten, Chris
    Capp, Anne
    Salvado, Olivier
    MEDICAL JOURNAL OF AUSTRALIA, 2011, 194 (04) : S24 - S27
  • [7] Magnetic resonance imaging-based treatment planning for prostate brachytherapy
    Albert, Jeffrey M.
    Swanson, David A.
    Pugh, Thomas J.
    Zhang, Michael
    Bruno, Teresa L.
    Kudchadker, Rajat J.
    Frank, Steven J.
    BRACHYTHERAPY, 2013, 12 (01) : 30 - 37
  • [8] Impact of magnetic resonance imaging-based diagnostic pathway on oncologic outcomes of localised prostate cancer - A Will-Rogers phenomenon?
    Lee, Han Jie
    Lee, Alvin
    Goh, Jia Ling
    Tay, Kae Jack
    Ho, Henry
    Tuan, Jeffrey
    Yuen, Assoc John
    Chen, Kenneth
    BJU INTERNATIONAL, 2023, 132 : 32 - 32
  • [9] External validation of novel magnetic resonance imaging-based models for prostate cancer prediction
    Puellen, Lukas
    Radtke, Jan P.
    Wiesenfarth, Manuel
    Roobol, Monique J.
    Verbeek, Jan F. M.
    Wetter, Axel
    Guberina, Nika
    Pandey, Abhishek
    Huettenbrink, Clemens
    Tschirdewahn, Stephan
    Pahernik, Sascha
    Hadaschik, Boris A.
    Distler, Florian A.
    BJU INTERNATIONAL, 2020, 125 (03) : 407 - 416
  • [10] Comparison of Magnetic Resonance Imaging-Based Risk Calculators to Predict Prostate Cancer Risk
    Patel, Hiten D.
    Remmers, Sebastiaan
    Ellis, Jeffrey L.
    Li, Eric V.
    Roobol, Monique J.
    Fang, Andrew M.
    Davik, Petter
    Rais-Bahrami, Soroush
    Murphy, Adam B.
    Ross, Ashley E.
    Gupta, Gopal N.
    JAMA NETWORK OPEN, 2024, 7 (03) : E241516