Prediction of High-grade Prostate Cancer Following Multiparametric Magnetic Resonance Imaging: Improving the Rotterdam European Randomized Study of Screening for Prostate Cancer Risk Calculators

被引:150
|
作者
Alberts, Arnout R. [1 ]
Roobol, Monique J. [1 ]
Verbeek, Jan F. M. [1 ]
Schoots, Ivo G. [2 ]
Chiu, Peter K. [1 ]
Osses, Daniel F. [1 ,2 ]
Tijsterman, Jasper D. [3 ]
Beerlage, Harrie P. [4 ]
Mannaerts, Christophe K. [5 ]
Schimmoeller, Lars [6 ]
Albers, Peter [7 ]
Arsov, Christian [7 ]
机构
[1] Erasmus Univ, Med Ctr, Dept Urol, Room Na 1710,Wytemaweg 80, NL-3015 CN Rotterdam, Netherlands
[2] Erasmus Univ, Med Ctr, Dept Radiol & Nucl Med, Rotterdam, Netherlands
[3] Haga Teaching Hosp, Dept Urol, The Hague, Netherlands
[4] Jeroen Bosch Hosp, Dept Urol, Den Bosch, Netherlands
[5] AMC Univ Hosp, Dept Urol, Amsterdam, Netherlands
[6] Univ Dusseldorf, Dept Diagnost & Intervent Radiol, Fac Med, Dusseldorf, Germany
[7] Univ Dusseldorf, Fac Med, Dept Urol, Dusseldorf, Germany
关键词
Biopsy; Magnetic resonance imaging; Multivariable risk stratification; Prostate cancer; Risk calculator; IN-BORE; DIAGNOSTIC-ACCURACY; ULTRASOUND FUSION; BIOPSY; GUIDELINES; MRI; MEN; VALIDATION; MODELS; TRIAL;
D O I
10.1016/j.eururo.2018.07.031
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
Background: The Rotterdam European Randomized Study of Screening for Prostate Cancer risk calculators (ERSPC-RCs) help to avoid unnecessary transrectal ultrasound-guided systematic biopsies (TRUS-Bx). Multivariable risk stratification could also avoid unnecessary biopsies following multiparametric magnetic resonance imaging (mpMRI). Objective: To construct MRI-ERSPC-RCs for the prediction of any- and high-grade (Gleason score >= 3 + 4) prostate cancer (PCa) in 12-core TRUS-Bx +/- MRI-targeted biopsy (MRI-TBx) by adding Prostate Imaging Reporting and Data System(PI-RADS) and age as parameters to the ERSPC-RC3 (biopsy-naive men) and ERSPC-RC4 (previously biopsied men). Design, setting, and participants: A total of 961 men received mpMRI and 12-core TRUS-Bx +/- MRI-TBx (in case of PI-RADS >= 3) in five institutions. Data of 504 biopsy-naive and 457 previously biopsied men were used to adjust the ERSPC-RC3 and ERSPC-RC4. Outcome measurements and statistical analysis: Logistic regression models were constructed. The areas under the curve (AUCs) of the original ERSPC-RCs and MRI-ERSPCRCs (including PI-RADS and age) for any- and high-grade PCa were compared. Decision curve analysis was performed to assess the clinical utility of the MRI-ERSPC-RCs. Results and limitations: MRI-ERSPC-RC3 had a significantly higher AUC for high-grade PCa compared with the ERSPC-RC3: 0.84 (95% confidence interval [CI] 0.81-0.88) versus 0.76 (95% CI 0.71-0.80, p < 0.01). Similarly, MRI-ERSPC-RC4 had a higher AUC for high-grade PCa compared with the ERSPC-RC4: 0.85 (95% CI 0.81-0.89) versus 0.74 (95% CI 0.69-0.79, p < 0.01). Unlike for the MRI-ERSPC-RC3, decision curve analysis showed clear net benefit of the MRI-ERSPC-RC4 at a high-grade PCa risk threshold of >= 5%. Using a >= 10% high-grade PCa risk threshold to biopsy for the MRI-ERSPC-RC4, 36% biopsies are saved, missing low- and high-grade PCa, respectively, in 15% and 4% of men who are not biopsied. Conclusions: We adjusted the ERSPC-RCs for the prediction of any-and high-grade PCa in 12-core TRUS-Bx +/- MRI-TBx. Although the ability of the MRI-ERSPC-RC3 for biopsy-naive men to avoid biopsies remains questionable, application of the MRI-ERSPC-RC4 in previously biopsied men in our cohort would have avoided 36% of biopsies, missing high-grade PCa in 4% of men who would not have received a biopsy. Patient summary: We have constructed magnetic resonance imaging-based Rotterdam European Randomized study of Screening for Prostate Cancer (MRI-ERSPC) risk calculators for prostate cancer prediction in transrectal ultrasound-guided biopsy and MRI-targeted biopsy by incorporating age and Prostate Imaging Reporting and Data System score into the original ERSPC risk calculators. The MRI-ERSPC risk calculator for previously biopsied men could be used to avoid one-third of biopsies following MRI. (C) 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:310 / 318
页数:9
相关论文
共 50 条
  • [21] Assessment of high-grade prostate cancer risk using prostate cancer biomarkers
    Stanton, Whitney N.
    Crawford, E. David
    Arangua, Paul B.
    La Rosa, Francisco G.
    van Bokhoven, Adrie
    Lucia, M. Scott
    Poage, Wendy L.
    Partin, Alan
    Maroni, Paul
    Werahera, Priya N.
    CANADIAN JOURNAL OF UROLOGY, 2020, 27 (01) : 10080 - 10085
  • [22] Comparison between the European Randomized Study for Screening of Prostate Cancer (ERSPC) and Prostate Biopsy Collaborative Group (PBCG) risk calculators: Prediction of clinically significant prostate cancer risk in a cohort of patients from Argentina
    Villota, P. M. Orbe
    Centeno, J. A. Leiva
    Lugones, J.
    Minuzzi, P. G.
    Varea, S. M.
    ACTAS UROLOGICAS ESPANOLAS, 2024, 48 (03): : 210 - 217
  • [23] Prostate Health Index and multiparametric magnetic resonance imaging to predict prostate cancer grade reclassification in active surveillance
    Schwen, Zeyad R.
    Mamawala, Mufaddal
    Tosoian, Jeffrey J.
    Druskin, Sasha C.
    Ross, Ashley E.
    Sokoll, Lori J.
    Epstein, Jonathan I.
    Carter, Herbert Ballentine
    Gorin, Michael A.
    Pavlovich, Christian P.
    BJU INTERNATIONAL, 2020, 126 (03) : 373 - 378
  • [24] Comparison of risk calculators from the Prostate Cancer Prevention Trial and the European Randomized Study of Screening for Prostate Cancer in a contemporary Canadian cohort
    Trottier, Greg
    Roobol, Monique J.
    Lawrentschuk, Nathan
    Bostroem, Peter J.
    Fernandes, Kimberly A.
    Finelli, Antonio
    Chadwick, Karen
    Evans, Andrew
    van der Kwast, Theodorus H.
    Toi, Ants
    Zlotta, Alexandre R.
    Fleshner, Neil E.
    BJU INTERNATIONAL, 2011, 108 (8B) : E237 - E244
  • [25] Multiparametric magnetic resonance imaging in the active surveillance of prostate cancer: protocol, risk stratification, and surveillance
    Qin, Xiaoyan
    Lv, Jian
    Zhu, Xiqi
    JOURNAL OF MENS HEALTH, 2024, 20 (04) : 12 - 18
  • [26] European Randomised Study of Screening for Prostate Cancer (ERSPC) risk calculators significantly outperform the Prostate Cancer Prevention Trial (PCPT) 2.0 in the prediction of prostate cancer: a multi-institutional study
    Foley, Robert W.
    Maweni, Robert M.
    Gorman, Laura
    Murphy, Keefe
    Lundon, Dara J.
    Durkan, Garrett
    Power, Richard
    O'Brien, Frank
    O'Malley, Kieran J.
    Galvin, David J.
    Murphy, T. Brendan
    Watson, R. William
    BJU INTERNATIONAL, 2016, 118 (05) : 706 - 713
  • [27] Prostate Cancer: The Role of Multiparametric Magnetic Resonance Imaging
    Dias, Joao Lopes
    Pina, Joao Magalhaes
    Joao, Raquel
    Fialho, Joana
    Carmo, Sandra
    Leal, Cecilia
    Bilhim, Tiago
    Marques, Rui Mateus
    Pinheiro, Luis Campos
    ACTA MEDICA PORTUGUESA, 2015, 28 (02): : 240 - 249
  • [28] The Mount Sinai Prebiopsy Risk Calculator for Predicting any Prostate Cancer and Clinically Significant Prostate Cancer: Development of a Risk Predictive Tool and Validation with Advanced Neural Networking, Prostate Magnetic Resonance Imaging Outcome Database, and European Randomized Study of Screening for Prostate Cancer Risk Calculator
    Parekh, Sneha
    Ratnani, Parita
    Falagario, Ugo
    Lundon, Dara
    Kewlani, Deepshikha
    Nasri, Jordan
    Dovey, Zach
    Stroumbakis, Dimitrios
    Ranti, Daniel
    Grauer, Ralph
    Sobotka, Stanislaw
    Pedraza, Adriana
    Wagaskar, Vinayak
    Mistry, Lajja
    Jambor, Ivan
    Lantz, Anna
    Ettala, Otto
    Stabile, Armando
    Taimen, Pekka
    Aronen, Hannu J.
    Knaapila, Juha
    Perez, Ileana Montoya
    Gandaglia, Giorgio
    Martini, Alberto
    Picker, Wolfgang
    Haug, Erik
    Cormio, Luigi
    Nordstrom, Tobias
    Briganti, Alberto
    Bostrom, Peter J.
    Carrieri, Giuseppe
    Haines, Kenneth
    Gorin, Michael A.
    Wiklund, Peter
    Menon, Mani
    Tewari, Ash
    EUROPEAN UROLOGY OPEN SCIENCE, 2022, 41 : 45 - 54
  • [29] Multiparametric prostate magnetic resonance imaging in the evaluation of prostate cancer
    Turkbey, Baris
    Brown, Anna M.
    Sankineni, Sandeep
    Wood, Bradford J.
    Pinto, Peter A.
    Choyke, Peter L.
    CA-A CANCER JOURNAL FOR CLINICIANS, 2016, 66 (04) : 326 - 336
  • [30] Negative Multiparametric Magnetic Resonance Imaging for Prostate Cancer: What's Next?
    Panebianco, Valeria
    Barchetti, Giovanni
    Simone, Giuseppe
    Del Monte, Maurizio
    Ciardi, Antonio
    Grompone, Marcello Domenico
    Campa, Riccardo
    Indino, Elena Lucia
    Barchetti, Flavio
    Sciarra, Alessandro
    Leonardo, Costantino
    Gallucci, Michele
    Catalano, Carlo
    EUROPEAN UROLOGY, 2018, 74 (01) : 48 - 54