A Novel Risk Calculator Incorporating Clinical Parameters, Multiparametric Magnetic Resonance Imaging, and Prostate-Specific Membrane Antigen Positron Emission Tomography for Prostate Cancer Risk Stratification Before Transperineal Prostate Biopsy

European Urology Open Science - Tập 53 - Trang 90-97 - 2023
Brian D. Kelly1,2,3, Gideon Ptasznik1,2, Matthew J. Roberts4, Paul Doan5, Phillip Stricker6, James Thompson7, James Buteau8, Kenneth Chen1, Omar Alghazo1, Jonathan S. O'Brien1,2, Michael S. Hofman8, Mark Frydenberg9, Nathan Lawrentschuk1,2, Dara Lundon1, Declan G. Murphy1,2, Louise Emmett10, Daniel Moon1,2
1Division of Cancer Surgery, Peter MacCallum Cancer Centre, Melbourne, Australia
2Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Australia
3Department of Urology, Eastern Health, Melbourne, Australia
4Royal Brisbane and Women’s Hospital, Brisbane, Australia
5Garvan Institute of Medical Research, Darlinghurst, Australia
6St Vincent's Prostate Cancer Centre, Darlinghurst, Australia
7Department of Urology, St. George Hospital, Australia
8Department of Molecular Imaging and Therapeutic Nuclear Medicine, Cancer Imaging and Prostate Cancer Theranostics and Imaging Centre of Excellence, Peter MacCallum Cancer, Melbourne, Australia
9Department of Surgery, Monash University and Cabrini Institute, Cabrini Health, Melbourne, Australia
10Department of Theranostics and Nuclear Medicine, St. Vincent’s Hospital Sydney, Darlinghurst, Australia

Tài liệu tham khảo

Kasivisvanathan, 2018, MRI-targeted or standard biopsy for prostate-cancer diagnosis, N Engl J Med, 378, 1767, 10.1056/NEJMoa1801993 Kasivisvanathan, 2017, A multicentre randomised controlled trial assessing whether MRI-targeted biopsy is non-inferior to standard transrectal ultrasound guided biopsy for the diagnosis of clinically significant prostate cancer in men without prior biopsy: a study protocol, BMJ Open, 7, e017863, 10.1136/bmjopen-2017-017863 Roobol, 2012, Prediction of prostate cancer risk: the role of prostate volume and digital rectal examination in the ERSPC risk calculators, Eur Urol, 61, 577, 10.1016/j.eururo.2011.11.012 Alberts, 2019, Prediction of high-grade prostate cancer following multiparametric magnetic resonance imaging: improving the Rotterdam European Randomized Study of Screening for Prostate Cancer risk calculators, Eur Urol, 75, 310, 10.1016/j.eururo.2018.07.031 Radtke, 2017, Combined clinical parameters and multiparametric magnetic resonance imaging for advanced risk modeling of prostate cancer-patient-tailored risk stratification can reduce unnecessary biopsies, Eur Urol, 72, 888, 10.1016/j.eururo.2017.03.039 Lundon, 2015, Prostate cancer risk assessment tools in an unscreened population, World J Urol, 33, 827, 10.1007/s00345-014-1365-7 Wei, 2021, Clash of the calculators: external validation of prostate cancer risk calculators in men undergoing mpMRI and transperineal biopsy, BJUI Compass, 2, 194, 10.1002/bco2.58 van Leeuwen, 2017, A multiparametric magnetic resonance imaging-based risk model to determine the risk of significant prostate cancer prior to biopsy, BJU Int, 120, 774, 10.1111/bju.13814 Kalapara, 2020, Detection and localisation of primary prostate cancer using 68gallium prostate-specific membrane antigen positron emission tomography/computed tomography compared with multiparametric magnetic resonance imaging and radical prostatectomy specimen pathology, BJU Int, 126, 83, 10.1111/bju.14858 Kalapara, 2022, Combined utility of 68Ga-prostate-specific membrane antigen positron emission tomography/computed tomography and multiparametric magnetic resonance imaging in predicting prostate biopsy pathology, Eur Urol Oncol, 5, 314, 10.1016/j.euo.2021.02.006 Perera, 2020, Eur Urol, 77, 403, 10.1016/j.eururo.2019.01.049 Ong, 2022, PSMA PET-CT imaging predicts treatment progression in men with biochemically recurrent prostate cancer—a prospective study of men with 3 year follow up, Cancers, 14, 2717, 10.3390/cancers14112717 Sonni, 2022, J Nucl Med, 63, 847, 10.2967/jnumed.121.262398 Hofman, 2020, Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study, Lancet, 395, 1208, 10.1016/S0140-6736(20)30314-7 de Feria Cardet, 2021, Is prostate-specific membrane antigen positron emission tomography/computed tomography imaging cost-effective in prostate cancer: an analysis informed by the proPSMA trial, Eur Urol, 79, 413, 10.1016/j.eururo.2020.11.043 Fendler, 2019, Assessment of 68Ga-PSMA-11 PET accuracy in localizing recurrent prostate cancer: a prospective single-arm clinical trial, JAMA Oncol, 5, 856, 10.1001/jamaoncol.2019.0096 Morris, 2021, Diagnostic performance of 18F-DCFPyL-PET/CT in men with biochemically recurrent prostate cancer: results from the CONDOR phase III, multicenter study, Clin Cancer Res, 27, 3674, 10.1158/1078-0432.CCR-20-4573 Pienta, 2021, A phase 2/3 prospective multicenter study of the diagnostic accuracy of prostate specific membrane antigen PET/CT with 18F-DCFPyL in prostate cancer patients (OSPREY), J Urol, 206, 52, 10.1097/JU.0000000000001698 O’Brien, 2022, PSMA PET-CT funding grants free access to superior staging for Australian men with prostate cancer, BJU Int, 10.1111/bju.15773 Donato, 2019, Improved specificity with 68Ga PSMA PET/CT to detect clinically significant lesions “invisible” on multiparametric MRI of the prostate: a single institution comparative analysis with radical prostatectomy histology, Eur J Nucl Med Mol Imaging, 46, 20, 10.1007/s00259-018-4160-7 Emmett, 2021, The additive diagnostic value of prostate-specific membrane antigen positron emission tomography computed tomography to multiparametric magnetic resonance imaging triage in the diagnosis of prostate cancer (PRIMARY): a prospective multicentre study, Eur Urol, 80, 682, 10.1016/j.eururo.2021.08.002 Amin, 2020, BJU Int, 125, 515, 10.1111/bju.14999 Neumann, 2017, EFS: an ensemble feature selection tool implemented as R-package and web-application, BioData Min, 10, 21, 10.1186/s13040-017-0142-8 Polikar, 2006, Ensemble based systems in decision making, IEEE Circuits Syst Mag, 6, 21, 10.1109/MCAS.2006.1688199 R Core Team, 2013 Collins, 2015, Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement, BMC Med, 13, 7594, 10.1186/s12916-014-0241-z DeLong, 1988, Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach, Biometrics, 44, 837, 10.2307/2531595 Boyce, 2013, Evaluation of prediction models for the staging of prostate cancer, BMC Med Inform Decis Mak, 13, 126, 10.1186/1472-6947-13-126 Vickers, 2006, Decision curve analysis: a novel method for evaluating prediction models, Med Decis Mak, 26, 565, 10.1177/0272989X06295361 Ahmed, 2017, Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study, Lancet, 389, 815, 10.1016/S0140-6736(16)32401-1 Ankerst, 2013, 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 Urol, 190, 70, 10.1016/j.juro.2012.12.108 Roobol, 2010, A risk-based strategy improves prostate-specific antigen-driven detection of prostate cancer, Eur Urol, 57, 79, 10.1016/j.eururo.2009.08.025 Thompson, 2006, Assessing prostate cancer risk: results from the Prostate Cancer Prevention trial, J Natl Cancer Inst, 98, 529, 10.1093/jnci/djj131 Ankerst, 2018, A contemporary prostate biopsy risk calculator based on multiple heterogeneous cohorts, Eur Urol, 74, 197, 10.1016/j.eururo.2018.05.003 Sathianathen, 2020, Negative predictive value of multiparametric magnetic resonance imaging in the detection of clinically significant prostate cancer in the Prostate Imaging Reporting and Data System era: a systematic review and meta-analysis, Eur Urol, 78, 402, 10.1016/j.eururo.2020.03.048 Ptasznik, 2022, High prostate-specific membrane antigen (PSMA) positron emission tomography (PET) maximum standardized uptake value in men with PI-RADS score 4 or 5 confers a high probability of significant prostate cancer, BJU Int, 130, 5, 10.1111/bju.15736 Emmett, 2022, The PRIMARY score: using intra-prostatic PSMA PET/CT patterns to optimise prostate cancer diagnosis, J Nucl Med, 10.2967/jnumed.121.263448 Mottet, 2021, EAU-EANM-ESTRO-ESUR-SIOG guidelines on prostate cancer—2020 update. Part 1: screening, diagnosis, and local treatment with curative intent, Eur Urol, 79, 243, 10.1016/j.eururo.2020.09.042