A Contemporary Prostate Biopsy Risk Calculator Based on Multiple Heterogeneous Cohorts

被引:110
作者
Ankerst, Donna P. [1 ,2 ]
Straubinger, Johanna [1 ]
Selig, Katharina [1 ]
Guerrios, Lourdes [3 ]
De Hoedt, Amanda [4 ]
Hernandez, Javier [2 ]
Liss, Michael A. [2 ]
Leach, Robin J. [2 ]
Freedland, Stephen J. [4 ,5 ]
Kattan, Michael W. [6 ]
Nam, Robert [7 ,8 ]
Haese, Alexander [9 ]
Montorsi, Francesco [10 ,11 ]
Boorjian, Stephen A. [12 ]
Cooperberg, Matthew R. [13 ,14 ]
Poyet, Cedric [15 ]
Vertosick, Emily [16 ]
Vickers, Andrew J. [16 ]
机构
[1] Tech Univ Munich, Dept Math, Boltzmannstr 3, D-85748 Munich, Germany
[2] Univ Texas Hlth Sci Ctr San Antonio, Dept Urol, San Antonio, TX 78229 USA
[3] Vet Affairs Caribbean Healthcare Syst, Urol Sect, Dept Surg, San Juan, PR USA
[4] Durham Vet Adm Med Ctr, Sect Urol, Durham, NC USA
[5] Cedars Sinai Med Ctr, Dept Surg, Los Angeles, CA 90048 USA
[6] Cleveland Clin, Dept Quantitat Hlth Sci, Cleveland, OH 44106 USA
[7] Univ Toronto, Sunnybrook Hlth Sci Ctr, Sunnybrook Res Inst, Div Urol, Toronto, ON, Canada
[8] Univ Toronto, Inst Hlth Policy Management & Evaluat, Toronto, ON, Canada
[9] Univ Clin Eppendorf, Martini Clin Prostate Canc Ctr, Hamburg, Germany
[10] IRCCS Hosp San Raffaele, Div Oncol, Unit Urol, URI, Milan, Italy
[11] Univ Vita Salute San Raffaele, Dept Med, Milan, Italy
[12] Mayo Clin, Dept Urol, Rochester, MN USA
[13] Univ Calif San Francisco, Dept Urol, San Francisco, CA USA
[14] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
[15] Univ Zurich, Univ Hosp Zurich, Dept Urol, Zurich, Switzerland
[16] Mem Sloan Kettering Canc Ctr, Dept Epidemiol & Biostat, New York, NY 10021 USA
关键词
Digital rectal exam; Family history; High-grade disease; Prostate cancer; Prostate-specific antigen; Risk prediction; ASSOCIATION SYMPTOM SCORE; COLLABORATIVE GROUP; DECISION-MAKING; CANCER; STRATIFICATION; PREVENTION; VOLUME; COMPLICATIONS; FINASTERIDE; OUTCOMES;
D O I
10.1016/j.eururo.2018.05.003
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: Prostate cancer prediction tools provide quantitative guidance for doctor-patient decision- making regarding biopsy. The widely used online Prostate Cancer Prevention Trial Risk Calculator (PCPTRC) utilized data from the 1990s based on six-core biopsies and outdated grading systems. Objective: We prospectively gathered data from men undergoing prostate biopsy in multiple diverse North American and European institutions participating in the Prostate Biopsy Collaborative Group (PBCG) in order to build a state-of-the-art risk prediction tool. Design, setting, and participants: We obtained data from 15 611 men undergoing 16 369 prostate biopsies during 2006-2017 at eight North American institutions for model-building and three European institutions for validation. Outcome measurements and statistical analysis: We used multinomial logistic regression to estimate the risks of high-grade prostate cancer (Gleason score >= 7) on biopsy based on clinical characteristics, including age, prostate-specific antigen, digital rectal exam, African ancestry, firstdegree family history, and prior negative biopsy. We compared the PBCG model to the PCPTRC using internal cross-validation and external validation on the European cohorts. Results and limitations: Cross-validation on the North American cohorts (5992 biopsies) yielded the PBCG model are a under the receiver operating characteristic curve (AUC) as 75.5%(95% confidence interval: 74.2-76.8), a small improvement over the AUC of 72.3% (70.9-73.7) for the PCPTRC (p < 0.0001). However, calibration and clinical net benefit were far superior for the PBCG model. Using a risk threshold of 10%, clinical use of the PBCG model would lead to the equivalent of 25 fewer biopsies per 1000 patients without missing any high-grade cancers. Results were similar on external validation on 10 377 European biopsies. Conclusions: The PBCG model should be used in place of the PCPTRC for prediction of prostate biopsy outcome. Patient summary: A contemporary risk tool for outcomes on prostate biopsy based on the routine clinical risk factors is now available for informed decision-making. (C) 2018 European Association of Urology. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码:197 / 203
页数:7
相关论文
共 21 条
[1]   Characteristics of Prostate Cancer Found at Fifth Screening in the European Randomized Study of Screening for Prostate Cancer Rotterdam: Can We Selectively Detect High-grade Prostate Cancer with Upfront Multivariable Risk Stratification and Magnetic Resonance Imaging? [J].
Alberts, Arnout R. ;
Schoots, Ivo G. ;
Bokhorst, Leonard P. ;
Drost, Frank-Jan H. ;
van Leenders, Geert J. ;
Krestin, Gabriel P. ;
Dwarkasing, Roy S. ;
Barentsz, Jelle O. ;
Schroder, Fritz H. ;
Bangma, Chris H. ;
Roobol, Monique J. .
EUROPEAN UROLOGY, 2018, 73 (03) :343-350
[2]   Prostate Cancer Prevention Trial Risk Calculator 2.0 for the Prediction of Low- vs High-grade Prostate Cancer [J].
Ankerst, Donna P. ;
Hoefler, Josef ;
Bock, Sebastian ;
Goodman, Phyllis J. ;
Vickers, Andrew ;
Hernandez, Javier ;
Sokoll, Lori J. ;
Sanda, Martin G. ;
Wei, John T. ;
Leach, Robin J. ;
Thompson, Ian M. .
UROLOGY, 2014, 83 (06) :1362-1367
[3]   Evaluating the Prostate Cancer Prevention Trial High Grade prostate cancer risk calculator in 10 international biopsy cohorts: results from the prostate biopsy collaborative group [J].
Ankerst, Donna P. ;
Boeck, Andreas ;
Freedland, Stephen J. ;
Jones, J. Stephen ;
Cronin, Angel M. ;
Roobol, Monique J. ;
Hugosson, Jonas ;
Kattan, Michael W. ;
Klein, Eric A. ;
Hamdy, Freddie ;
Neal, David ;
Donovan, Jenny ;
Parekh, Dipen J. ;
Klocker, Helmut ;
Horninger, Wolfgang ;
Benchikh, Amine ;
Salama, Gilles ;
Villers, Arnauld ;
Moreira, Daniel M. ;
Schroder, Fritz H. ;
Lilja, Hans ;
Vickers, Andrew J. ;
Thompson, Ian M. .
WORLD JOURNAL OF UROLOGY, 2014, 32 (01) :185-191
[4]   Predicting Risk of Prostate Cancer in Men Receiving Finasteride: Effect of Prostate Volume, Number of Biopsy Cores, and American Urological Association Symptom Score [J].
Ankerst, Donna P. ;
Till, Cathee ;
Boeck, Andreas ;
Goodman, Phyllis J. ;
Tangen, Catherine M. ;
Thompson, Ian M. .
UROLOGY, 2013, 82 (05) :1076-1081
[5]   The Impact of Prostate Volume, Number of Biopsy Cores and American Urological Association Symptom Score on the Sensitivity of Cancer Detection Using the Prostate Cancer Prevention Trial Risk Calculator [J].
Ankerst, Donna P. ;
Till, Cathee ;
Boeck, Andreas ;
Goodman, Phyllis ;
Tangen, Catherine M. ;
Feng, Ziding ;
Partin, Alan W. ;
Chan, Daniel W. ;
Sokoll, Lori ;
Kagan, Jacob ;
Wei, John T. ;
Thompson, Ian M. .
JOURNAL OF UROLOGY, 2013, 190 (01) :70-76
[6]   Complications After Systematic, Random, and Image-guided Prostate Biopsy [J].
Borghesi, Marco ;
Ahmed, Hashim ;
Nam, Robert ;
Schaeffer, Edward ;
Schiavina, Riccardo ;
Taneja, Samir ;
Weidner, Wolfgang ;
Loeb, Stacy .
EUROPEAN UROLOGY, 2017, 71 (03) :353-365
[7]   Time trends in clinical risk stratification for prostate cancer: Implications for outcomes (data from CaPSURE) [J].
Cooperberg, MR ;
Lubeck, DP ;
Mehta, SS ;
Carroll, PR .
JOURNAL OF UROLOGY, 2003, 170 (06) :S21-S25
[8]   Gleason inflation 1998-2011: a registry study of 97 168 men [J].
Danneman, Daniela ;
Drevin, Linda ;
Robinson, David ;
Stattin, Par ;
Egevad, Lars .
BJU INTERNATIONAL, 2015, 115 (02) :248-255
[9]   Impact of the United States Preventive Services Task Force 'D' recommendation on prostate cancer screening and staging [J].
Eapen, Renu S. ;
Herlemann, Annika ;
Washington, Samuel L., III ;
Cooperberg, Matthew R. .
CURRENT OPINION IN UROLOGY, 2017, 27 (03) :205-209
[10]   The 2014 International Society of Urological Pathology (ISUP) Consensus Conference on Gleason Grading of Prostatic Carcinoma Definition of Grading Patterns and Proposal for a New Grading System [J].
Epstein, Jonathan I. ;
Egevad, Lars ;
Amin, Mahul B. ;
Delahunt, Brett ;
Srigley, John R. ;
Humphrey, Peter A. .
AMERICAN JOURNAL OF SURGICAL PATHOLOGY, 2016, 40 (02) :244-252