Comparative Analysis of PSA Density and an MRI-Based Predictive Model to Improve the Selection of Candidates for Prostate Biopsy

被引:5
作者
Morote, Juan [1 ,2 ]
Borque-Fernando, Angel [3 ]
Triquell, Marina [1 ]
Celma, Anna [1 ]
Regis, Lucas [1 ]
Mast, Richard [4 ]
de Torres, Ines M. [5 ,6 ]
Semidey, Maria E. [5 ,6 ]
Abascal, Jose M. [7 ]
Servian, Pol [8 ]
Santamaria, Anna [9 ]
Planas, Jacques [1 ]
Esteban, Luis M. [10 ]
Trilla, Enrique [1 ,2 ]
机构
[1] Vall dHebron Hosp, Dept Urol, Barcelona 08035, Spain
[2] Univ Autonoma Barcelona, Dept Surg, Barcelona 08193, Spain
[3] IIS Aragon, Dept Urol, Hosp Miguel Servet, Zaragoza 50009, Spain
[4] Vall dHebron Hosp, Dept Radiol, Barcelona 08035, Spain
[5] Vall dHebron Hosp, Dept Pathol, Barcelona 08035, Spain
[6] Univ Autonoma Barcelona, Dept Morphol Sci, Barcelona 08193, Spain
[7] Univ Pompeu Fabra, Dept Urol, Parc Salut Mar, Barcelona 08003, Spain
[8] Hosp Badalona Germans Trias & Pujol, Dept Urol, Badalona 08035, Spain
[9] Vall dHebron Res Inst, Barcelona 08035, Spain
[10] Univ Zaragoza, Escuela Univ Politecn La Almunia, Dept Appl Math, Zaragoza 50100, Spain
关键词
prostate-specific antigen density; predictive model; clinically significant prostate cancer; ANTIGEN DENSITY; CANCER RISK; RECTAL EXAMINATION; SIOG GUIDELINES; LOCAL TREATMENT; VOLUME; MEN; DIAGNOSIS; CALCULATOR; PATHOLOGY;
D O I
10.3390/cancers14102374
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Simple Summary Magnetic resonance imaging (MRI)-associated prostate-specific antigen density (mPSAD) and MRI predictive models have been proposed for improving the selection of candidates for prostate biopsy among men with suspected prostate cancer (PCa). While the calculation of mPSAD only requires a simple division, the individual risk assessment of PCa using the available risk calculators is also a swift process. We aim to compare the clinical usefulness of mPSAD and an MRI predictive model that utilises the same predictors as the recently developed and externally validated Barcelona MRI predictive model (MRI-PMbdex). This study is a head-to-head comparison between mPSAD and MRI-PMbdex. The MRI-PMbdex was created from 2432 men with suspected PCa; this cohort comprised the development and external validation cohorts of the Barcelona MRI predictive model. Pre-biopsy 3-Tesla multiparametric MRI (mpMRI) and 2 to 4-core transrectal ultrasound (TRUS)-guided biopsies for suspicious lesions and/or 12-core TRUS systematic biopsies were scheduled. Clinically significant PCa (csPCa), defined as Gleason-based Grade Group 2 or higher, was detected in 934 men (38.4%). The area under the curve was 0.893 (95% confidence interval [CI]: 0.880-0.906) for MRI-PMbdex and 0.764 (95% CI: 0.774-0.783) for mPSAD, with p < 0.001. MRI-PMbdex showed net benefit over biopsy in all men when the probability of csPCa was greater than 2%, while mPSAD did the same when the probability of csPCa was greater than 18%. Thresholds of 13.5% for MRI-PMbdex and 0.628 ng/mL(2) for mPSAD had 95% sensitivity for csPCa and presented 51.1% specificity for MRI-PMbdex and 19.6% specificity for mPSAD, with p < 0.001. MRI-PMbdex exhibited net benefit over mPSAD in men with prostate imaging report and data system (PI-RADS) <4, while neither exhibited any benefit in men with PI-RADS 5. Hence, we can conclude that MRI-PMbdex is more accurate than mPSAD for the proper selection of candidates for prostate biopsy among men with suspected PCa, with the exception of men with a PI-RAD S 5 score, for whom neither tool exhibited clinical guidance to determine the need for biopsy.
引用
收藏
页数:22
相关论文
共 97 条
  • [1] Prediction of High-grade Prostate Cancer Following Multiparametric Magnetic Resonance Imaging: Improving the Rotterdam European Randomized Study of Screening for Prostate Cancer Risk Calculators
    Alberts, Arnout R.
    Roobol, Monique J.
    Verbeek, Jan F. M.
    Schoots, Ivo G.
    Chiu, Peter K.
    Osses, Daniel F.
    Tijsterman, Jasper D.
    Beerlage, Harrie P.
    Mannaerts, Christophe K.
    Schimmoeller, Lars
    Albers, Peter
    Arsov, Christian
    [J]. EUROPEAN UROLOGY, 2019, 75 (02) : 310 - 318
  • [2] Bangma CH, 1996, PROSTATE, V28, P107
  • [3] ESUR prostate MR guidelines 2012
    Barentsz, Jelle O.
    Richenberg, Jonathan
    Clements, Richard
    Choyke, Peter
    Verma, Sadhna
    Villeirs, Geert
    Rouviere, Olivier
    Logager, Vibeke
    Futterer, Jurgen J.
    [J]. EUROPEAN RADIOLOGY, 2012, 22 (04) : 746 - 757
  • [4] PROSTATE SPECIFIC ANTIGEN DENSITY - A MEANS OF DISTINGUISHING BENIGN PROSTATIC HYPERTROPHY AND PROSTATE-CANCER
    BENSON, MC
    WHANG, IS
    PANTUCK, A
    RING, K
    KAPLAN, SA
    OLSSON, CA
    COONER, WH
    [J]. JOURNAL OF UROLOGY, 1992, 147 (03) : 815 - 816
  • [5] THE USE OF PROSTATE SPECIFIC ANTIGEN DENSITY TO ENHANCE THE PREDICTIVE VALUE OF INTERMEDIATE LEVELS OF SERUM PROSTATE SPECIFIC ANTIGEN
    BENSON, MC
    WHANG, IS
    OLSSON, CA
    MCMAHON, DJ
    COONER, WH
    [J]. JOURNAL OF UROLOGY, 1992, 147 (03) : 817 - 821
  • [6] Predicting Benign Prostate Pathology on Magnetic Resonance Imaging/Ultrasound Fusion Biopsy in Men with a Prior Negative 12-core Systematic Biopsy: External Validation of a Prognostic Nomogram
    Bjurlin, Marc A.
    Renson, Audrey
    Rais-Bahrami, Soroush
    Truong, Matthew
    Rosenkrantz, Andrew B.
    Huang, Richard
    Taneja, Samir S.
    [J]. EUROPEAN UROLOGY FOCUS, 2019, 5 (05): : 815 - 822
  • [7] Prediction of Prostate Cancer Risk Among Men Undergoing Combined MRI-targeted and Systematic Biopsy Using Novel Pre-biopsy Nomograms That Incorporate MRI Findings
    Bjurlin, Marc A.
    Rosenkrantz, Andrew B.
    Sarkar, Saradwata
    Lepor, Herbert
    Huang, William C.
    Huang, Richard
    Venkataraman, Rajesh
    Taneja, Samir S.
    [J]. UROLOGY, 2018, 112 : 112 - 119
  • [8] Prebiopsy Biparametric Magnetic Resonance Imaging Combined with Prostate-specific Antigen Density in Detecting and Ruling out Gleason 7-10 Prostate Cancer in Biopsy-naive Men
    Boesen, Lars
    Norgaard, Nis
    Logager, Vibeke
    Balslev, Ingegerd
    Bisbjerg, Rasmus
    Thestrup, Karen-Cecilie
    Jakobsen, Henrik
    Thomsen, Henrik S.
    [J]. EUROPEAN UROLOGY ONCOLOGY, 2019, 2 (03): : 311 - 319
  • [9] A predictive model based on biparametric magnetic resonance imaging and clinical parameters for improved risk assessment and selection of biopsy-naive men for prostate biopsies
    Boesen, Lars
    Thomsen, Frederik B.
    Norgaard, Nis
    Logager, Vibeke
    Balslev, Ingegerd
    Bisbjerg, Rasmus
    Thomsen, Henrik S.
    Jakobsen, Henrik
    [J]. PROSTATE CANCER AND PROSTATIC DISEASES, 2019, 22 (04) : 609 - 616
  • [10] How to implement magnetic resonance imaging before prostate biopsy in clinical practice: nomograms for saving biopsies
    Borque-Fernando, Angel
    Mariano Esteban, Luis
    Celma, Ana
    Roche, Sarai
    Planas, Jacques
    Regis, Lucas
    de Torres, Ines
    Eugenia Semidey, Maria
    Trilla, Enrique
    Morote, Juan
    [J]. WORLD JOURNAL OF UROLOGY, 2020, 38 (06) : 1481 - 1491