Personalised Prostate Cancer Diagnosis: Evaluating Biomarker-based Approaches to Reduce Unnecessary Magnetic Resonance Imaging and Biopsy Procedures

被引:3
作者
Soeterik, Timo F. W. [1 ,2 ]
Wu, Xiaobo [3 ]
van den Bergh, Roderick C. N. [4 ]
Kesch, Claudia [5 ]
Zattoni, Fabio [6 ,7 ]
Falagario, Ugo [8 ,9 ]
Martini, Alberto [10 ]
Miszczyk, Marcin [11 ,12 ]
Fasulo, Vittorio [13 ,14 ]
Maggi, Martina [15 ,16 ,17 ]
Kasivisvanathan, Veeru [18 ]
Rajwa, Pawel [11 ,18 ,19 ]
Marra, Giancarlo [20 ]
Gandaglia, Giorgio [21 ]
Chiu, Peter K. F. [3 ]
机构
[1] St Antonius Hosp, Dept Urol, Nieuwegein Utrecht, Netherlands
[2] Univ Med Ctr Utrecht, Dept Radiat Oncol, Utrecht, Netherlands
[3] Chinese Univ Hong Kong, SH Ho Urol Ctr, Dept Surg, Hong Kong, Peoples R China
[4] Erasmus MC, Dept Urol, Rotterdam, Netherlands
[5] Essen German Canc Consortium DKTK Univ Hosp Essen, Univ Hosp Essen, Dept Urol, Essen, Germany
[6] Univ Padua, Dept Surg, Urol Unit, Padua, Italy
[7] Univ Padua, Dept Med, DIMED, Padua, Italy
[8] Univ Foggia, Dept Urol, Foggia, Italy
[9] Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden
[10] Univ Cincinnati, Dept Urol, Cincinnati, OH USA
[11] Med Univ Vienna, Comprehens Canc Ctr, Dept Urol, Vienna, Austria
[12] WSB Univ, Fac Med, Coll Med, Dabrowa Gornicza, Poland
[13] Humanitas Univ, Dept Biomed Sci, Milan, Italy
[14] IRCCS Humanitas Res Hosp, Dept Urol, Milan, Italy
[15] Sapienza Univ Rome, Dept Maternal Infant & Urol Sci, Rome, Italy
[16] Sapienza Univ Rome, Fac Pharm & Med, Latina, Italy
[17] Sapienza Univ Rome, Dept Med Surg Sci & Biotechnol, Urol Unit, Rome, Italy
[18] UCL, Div Surg & Intervent Sci, London, England
[19] Ctr Postgrad Med Educ, Dept Urol 2, Warsaw, Poland
[20] Azienda Osped Univ Citta Salute & Sci Torino, Univ Hosp S Giovanni Battista, Turin, Italy
[21] Univ Vita Salute San Raffaele, IRCCS San Raffaele Sci Inst, URI, Div Oncol,Unit Urol,Soldera Prostate Canc Lab, Milan, Italy
来源
EUROPEAN UROLOGY OPEN SCIENCE | 2025年 / 75卷
关键词
Prostate cancer; Screening; Biopsy; Magnetic resonance imaging; Diagnostic pathway; HEALTH INDEX; MULTIPARAMETRIC MRI; EXTERNAL VALIDATION; ANTIGEN DENSITY; RISK CALCULATOR; MEN; PERFORMANCE; POPULATION; PREDICTION; PET/MRI;
D O I
10.1016/j.euros.2025.03.006
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 and objective: Efforts made over the last decade for the detection of prostate cancer (PCa) have revolutionised disease diagnostics, and implementation of prebiopsy magnetic resonance imaging (MRI) has received widespread acceptance. However, universal adoption of prebiopsy MRI and the benefits achieved have been limited by availability and equivocal MRI findings. This review aims to evaluate the latest evidence on the role of existing PCa risk calculators (RCs), and blood and urinary biomarkers as part of the diagnostic algorithm to improve the diagnosis of clinically significant PCa (csPCa) and reduce unnecessary MRI procedures and biopsies. We will also evaluate the potential of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) to enhance sensitivity and specificity for PCa diagnosis, complement MRI, and refine biopsy strategies within the diagnostic pathway. Methods: We performed a narrative review using the PubMed/MEDLINE database, which included papers published between January 2014 and June 2024. The outcome measures included rates of reduced diagnoses of nonsignificant PCa (defined as International Society of Urological Pathology [ISUP] grade group 1) cases, diagnoses of csPCa (defined as ISUP grade group >= 2) cases missed, and MRI scans and prostate biopsies avoided. Key findings and limitations: In men with abnormal prostate-specific antigen (PSA) levels, further risk stratification using RCs, or blood or urine biomarkers can reduce up to 16-51% MRI scans, while missing 1-16% csPCa cases. In case of equivocal MRI results or Prostate Imaging Reporting and Data System 3 lesions, RCs or biomarkers could reduce up to 72% of biopsies, while missing only 3-13% csPCa cases. PSMA PET has emerging potential to improve csPCa prediction in combination with MRI and may further reduce unnecessary biopsies. A limitation of this study is that this is a narrative but not a systematic review. Conclusions and clinical implications: RCs and biomarkers have been demonstrated to enhance the performance and efficiency of MRI in detecting csPCa in men with elevated PSA levels. PSMA PET shows promise in detecting csPCa, complementing MRI and refining biopsy indications. Patient summary: In men with a suspicion of prostate cancer, magnetic resonance imaging prostate scans are effective in predicting clinically relevant cancer, but challenges including availability and equivocal scans exist. A personalised approach by adding one or more of clinical risk calculators, blood or urine biomarkers, or even novel imaging techniques such as positron emission tomography scans may improve cancer prediction further and reduce unnecessary scans and biopsies. (C) 2025 The Author(s). Published by Elsevier B.V. on behalf of European Association of Urology.
引用
收藏
页码:106 / 119
页数:14
相关论文
共 67 条
[41]   A Novel Urine Exosome Gene Expression Assay to Predict High-grade Prostate Cancer at Initial Biopsy [J].
McKiernan, James ;
Donovan, Michael J. ;
O'Neill, Vince ;
Bentink, Stefan ;
Noerholm, Mikkel ;
Belzer, Susan ;
Skog, Johan ;
Kattan, Michael W. ;
Partin, Alan ;
Andriole, Gerald ;
Brown, Gordon ;
Wei, John T. ;
Thompson, Ian M., Jr. ;
Carroll, Peter .
JAMA ONCOLOGY, 2016, 2 (07) :882-889
[42]   A Magnetic Resonance Imaging-Based Prediction Model for Prostate Biopsy Risk Stratification [J].
Mehralivand, Sherif ;
Shih, Joanna H. ;
Rais-Bahrami, Soroush ;
Oto, Aytekin ;
Bednarova, Sandra ;
Nix, Jeffrey W. ;
Thomas, John V. ;
Gordetsky, Jennifer B. ;
Gaur, Sonia ;
Harmon, Stephanie A. ;
Siddiqui, Mohummad Minhaj ;
Merino, Maria J. ;
Parnes, Howard L. ;
Wood, Bradford J. ;
Pinto, Peter A. ;
Choyke, Peter L. ;
Turkbey, Baris .
JAMA ONCOLOGY, 2018, 4 (05) :678-685
[43]   Reducing the demand for magnetic resonance imaging scans and prostate biopsies during the early detection of clinically significant prostate cancer: Applying the Barcelona risk-stratified pathway in Catalonia [J].
Morote, Juan ;
Borque-Fernando, Angel ;
Esteban, Luis E. ;
Picola, Natalia ;
Munoz-Rodriguez, Jesus ;
Paesano, Nahuel ;
Ruiz-Plazas, Xavier ;
Munoz-Rivero, Marta, V ;
Celma, Anna ;
Garcia-de Manuel, Gemma ;
Miro, Berta ;
Abascal, Jose M. ;
Servian, Pol .
UROLOGIC ONCOLOGY-SEMINARS AND ORIGINAL INVESTIGATIONS, 2024, 42 (04) :115.e1-115.e7
[44]   Prostate cancer screening using a combination of risk-prediction, MRI, and targeted prostate biopsies (STHLM3-MRI): a prospective, population-based, randomised, open-label, non-inferiority trial [J].
Nordstrom, Tobias ;
Discacciati, Andrea ;
Bergman, Martin ;
Clements, Mark ;
Aly, Markus ;
Annerstedt, Magnus ;
Glaessgen, Axel ;
Carlsson, Stefan ;
Jaderling, Fredrik ;
Eklund, Martin ;
Gronberg, Henrik .
LANCET ONCOLOGY, 2021, 22 (09) :1240-1249
[45]   PI-RADS Steering Committee: The PI-RADS Multiparametric MRI and MRI-directed Biopsy Pathway [J].
Padhani, Anwar R. ;
Barentsz, Jelle ;
Villeirs, Geert ;
Rosenkrantz, Andrew B. ;
Margolis, Daniel J. ;
Turkbey, Bares ;
Thoeny, Harriet C. ;
Cornud, Francois ;
Haider, Masoom A. ;
Macura, Katarzyna F. ;
Tempany, Clare M. ;
Verma, Sadhna ;
Weinreb, Jeffery C. .
RADIOLOGY, 2019, 292 (02) :464-474
[46]   Predictive Factors of Missed Clinically Significant Prostate Cancers in Men with Negative Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis [J].
Pagniez, M. A. ;
Kasivisvanathan, V. ;
Puech, P. ;
Drumez, E. ;
Villers, A. ;
Olivier, J. .
JOURNAL OF UROLOGY, 2020, 204 (01) :24-32
[47]   A Unified Prostate Cancer Risk Prediction Model Combining the Stockholm3 Test and Magnetic Resonance Imaging [J].
Palsdottir, Thorgerdur ;
Nordstrom, Tobias ;
Aly, Markus ;
Jaderling, Fredrik ;
Clements, Mark ;
Gronberg, Henrik ;
Eklund, Martin .
EUROPEAN UROLOGY ONCOLOGY, 2019, 2 (05) :490-496
[48]   A Multi-institutional Prospective Trial in the USA Confirms that the 4Kscore Accurately Identifies Men with High-grade Prostate Cancer [J].
Parekh, Dipen J. ;
Punnen, Sanoj ;
Sjoberg, Daniel D. ;
Asroff, Scott W. ;
Bailen, James L. ;
Cochran, James S. ;
Concepcion, Raoul ;
David, Richard D. ;
Deck, Kenneth B. ;
Dumbadze, Igor ;
Gambla, Michael ;
Grable, Michael S. ;
Henderson, Ralph J. ;
Karsh, Lawrence ;
Krisch, Evan B. ;
Langford, Timothy D. ;
Lin, Daniel W. ;
McGee, Shawn M. ;
Munoz, John J. ;
Pieczonka, Christopher M. ;
Rieger-Christ, Kimberley ;
Saltzstein, Daniel R. ;
Scott, John W. ;
Shore, Neal D. ;
Sieber, Paul R. ;
Waldmann, Todd M. ;
Wolk, Fredrick N. ;
Zappala, Stephen M. .
EUROPEAN UROLOGY, 2015, 68 (03) :464-470
[49]   A prostate biopsy risk calculator based on MRI: development and comparison of the Prospective Loyola University multiparametric MRI (PLUM) and Prostate Biopsy Collaborative Group (PBCG) risk calculators [J].
Patel, Hiten D. ;
Koehne, Elizabeth L. ;
Shea, Steven M. ;
Fang, Andrew M. ;
Gerena, Marielia ;
Gorbonos, Alex ;
Quek, Marcus L. ;
Flanigan, Robert C. ;
Goldberg, Ari ;
Rais-Bahrami, Soroush ;
Gupta, Gopal N. .
BJU INTERNATIONAL, 2023, 131 (02) :227-235
[50]  
Perlis Nathan, 2018, J Urol, V199, P1182, DOI 10.1016/j.juro.2017.11.074