Literature DB >> 22564540

Multiparametric magnetic resonance imaging of the prostate can improve the predictive value of the urinary prostate cancer antigen 3 test in patients with elevated prostate-specific antigen levels and a previous negative biopsy.

Alessandro Sciarra1, Valeria Panebianco, Susanna Cattarino, Gian Maria Busetto, Ettore De Berardinis, Mauro Ciccariello, Vincenzo Gentile, Stefano Salciccia.   

Abstract

UNLABELLED: Study Type--Clinical (prospective trial) Level of Evidence 2b. What's known on the subject? and What does the study add? In clinical practice, we know that it is necessary to identify new biomarkers that can better detect prostate cancer (PC), at the same time as reducing the number of unnecessary biopsies. Recently, studies have suggested that the most relevant clinical scenario in which the prostate cancer antigen 3 (PCA3) score could be used comprises patients with a previous negative prostate biopsy and persistently elevated PSA levels. At the same time, although multiparametric MRI is not currently used as a first approach for diagnosing PC, it can be useful for directing targeted biopsies, especially in those patients with elevated PSA levels and a previous negative TRUS-guided biopsy. Considering all of these aspects, the present study aimed to evaluate the role of multiparametric MRI as an additional diagnostic tool for improving the accuracy of the urinary PCA3 test in patients with increased PSA levels and a previous negative prostate biopsy. Our hypothesis is that the potential value of the PCA3 test as a biomarker for PC diagnosis could be improved by the use of multiparametric MRI in directing prostate biopsy. In the present study, we show that, in cases with a previous negative biopsy and persistently elevated PSA levels submitted to multiparametric MRI to direct biopsies, the sensitivity of the PCA3 test significantly improved (79% vs 68%). However, further larger randomized studies on this combination using a new biomarker and a new imaging modality for PC diagnosis are expected.
OBJECTIVE: • To evaluate the role of multiparametric magnetic resonance imaging (MRI) as an additional diagnostic tool for improving the accuracy of the urinary prostate cancer antigen 3 (PCA3) test in patients with an increase in prostate-specific antigen (PSA) levels and a previous negative prostate biopsy. PATIENTS AND METHODS: • The present study comprised a prospective randomized study on patients with a previous negative transrectal ultrasonography (TRUS)-guided prostate biopsy and elevated PSA levels. • In total, 180 cases were analyzed, and all were submitted to PCA3 assay. • Patients in group A were submitted to a second random TRUS-guided prostate biopsy, whereas patients in group B were submitted to a multiparametric MRI examination and then to a second TRUS-guided prostate biopsy.
RESULTS: • At the second biopsy, a histological diagnosis of prostate cancer was found in 26 of 84 cases (30.9%) in group A and in 29 of 84 cases (34.5%) in group B. • In group A, the sensitivity and specificity of the PCA3 score were 68.0% and 74.5% respectively (positive predictive value of 53.1%, negative predictive value of 84.6% and accuracy of 72.6%). • In group B, the sensitivity and specificity of the PCA3 score were 79.3% and 72.7%, respectively (positive predictive value of 60.5%, negative predictive value of 86.9% and accuracy of 75.0%). • For the PCA3 score, the area under the receiver-operator characteristic curve was 0.825 (95% confidence interval, 0.726-0.899) in group A and 0.857 (95% confidence interval, 0.763-0.924) in group B (P < 0.001).
CONCLUSION: • In patients with a previous negative biopsy and persistently elevated PSA levels, the use of multiparametric MRI for indicating sites suitable for rebiopsy can significantly improve the sensitivity of the PCA3 test in the diagnosis of prostate cancer.
© 2012 BJU INTERNATIONAL.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22564540     DOI: 10.1111/j.1464-410X.2012.11146.x

Source DB:  PubMed          Journal:  BJU Int        ISSN: 1464-4096            Impact factor:   5.588


  20 in total

1.  [Molecular breast imaging. An update].

Authors:  K Pinker; T H Helbich; H Magometschnigg; B Fueger; P Baltzer
Journal:  Radiologe       Date:  2014-03       Impact factor: 0.635

2.  Impact of an Information Technology-Enabled Initiative on the Quality of Prostate Multiparametric MRI Reports.

Authors:  Patricia C Silveira; Ruth Dunne; Nisha I Sainani; Ronilda Lacson; Stuart G Silverman; Clare M Tempany; Ramin Khorasani
Journal:  Acad Radiol       Date:  2015-04-08       Impact factor: 3.173

Review 3.  Multiparametric magnetic resonance imaging in the management and diagnosis of prostate cancer: current applications and strategies.

Authors:  Daniel J Lee; Hashim U Ahmed; Caroline M Moore; Mark Emberton; Behfar Ehdaie
Journal:  Curr Urol Rep       Date:  2014-03       Impact factor: 3.092

Review 4.  Biomarkers in Prostate Cancer Diagnosis: From Current Knowledge to the Role of Metabolomics and Exosomes.

Authors:  Stefano Salciccia; Anna Laura Capriotti; Aldo Laganà; Stefano Fais; Mariantonia Logozzi; Ettore De Berardinis; Gian Maria Busetto; Giovanni Battista Di Pierro; Gian Piero Ricciuti; Francesco Del Giudice; Alessandro Sciarra; Peter R Carroll; Matthew R Cooperberg; Beatrice Sciarra; Martina Maggi
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

Review 5.  Multiparametric MRI-targeted TRUS prostate biopsies using visual registration.

Authors:  Philippe Puech; Adil Ouzzane; Vianney Gaillard; Nacim Betrouni; Benoit Renard; Arnauld Villers; Laurent Lemaitre
Journal:  Biomed Res Int       Date:  2014-12-01       Impact factor: 3.411

6.  INNOVATE: A prospective cohort study combining serum and urinary biomarkers with novel diffusion-weighted magnetic resonance imaging for the prediction and characterization of prostate cancer.

Authors:  Edward Johnston; Hayley Pye; Elisenda Bonet-Carne; Eleftheria Panagiotaki; Dominic Patel; Myria Galazi; Susan Heavey; Lina Carmona; Alexander Freeman; Giorgia Trevisan; Clare Allen; Alexander Kirkham; Keith Burling; Nicola Stevens; David Hawkes; Mark Emberton; Caroline Moore; Hashim U Ahmed; David Atkinson; Manuel Rodriguez-Justo; Tony Ng; Daniel Alexander; Hayley Whitaker; Shonit Punwani
Journal:  BMC Cancer       Date:  2016-10-21       Impact factor: 4.430

7.  The Prostate Health Index adds predictive value to multi-parametric MRI in detecting significant prostate cancers in a repeat biopsy population.

Authors:  V J Gnanapragasam; K Burling; A George; S Stearn; A Warren; T Barrett; B Koo; F A Gallagher; A Doble; C Kastner; R A Parker
Journal:  Sci Rep       Date:  2016-10-17       Impact factor: 4.379

8.  Value of PCA3 to predict biopsy outcome and its potential role in selecting patients for multiparametric MRI.

Authors:  Gisele H J M Leyten; Elisabeth A Wierenga; J P Michiel Sedelaar; Inge M van Oort; Jurgen J Futterer; Jelle O Barentsz; Jack A Schalken; Peter F A Mulders
Journal:  Int J Mol Sci       Date:  2013-05-28       Impact factor: 5.923

Review 9.  MRI in prostate cancer.

Authors:  Mahyar Ghafoori; Manijeh Alavi; Mounes Aliyari Ghasabeh
Journal:  Iran Red Crescent Med J       Date:  2013-12-05       Impact factor: 0.611

10.  Outcomes of Prostate Biopsy in Men with Hypogonadism Prior or During Testosterone Replacement Therapy.

Authors:  Daniel A Shoskes; Yagil Barazani; Khaled Fareed; Edmund Sabanegh
Journal:  Int Braz J Urol       Date:  2015 Nov-Dec       Impact factor: 1.541

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.