Literature DB >> 24447678

Diagnostic value of biparametric magnetic resonance imaging (MRI) as an adjunct to prostate-specific antigen (PSA)-based detection of prostate cancer in men without prior biopsies.

Soroush Rais-Bahrami1, M Minhaj Siddiqui, Srinivas Vourganti, Baris Turkbey, Ardeshir R Rastinehad, Lambros Stamatakis, Hong Truong, Annerleim Walton-Diaz, Anthony N Hoang, Jeffrey W Nix, Maria J Merino, Bradford J Wood, Richard M Simon, Peter L Choyke, Peter A Pinto.   

Abstract

OBJECTIVES: To determine the diagnostic yield of analysing biparametric (T2- and diffusion-weighted) magnetic resonance imaging (B-MRI) for prostate cancer detection compared with standard digital rectal examination (DRE) and prostate-specific antigen (PSA)-based screening. PATIENTS AND METHODS: Review of patients who were enrolled in a trial to undergo multiparametric-prostate (MP)-MRI and MR/ultrasound fusion-guided prostate biopsy at our institution identified 143 men who underwent MP-MRI in addition to standard DRE and PSA-based prostate cancer screening before any prostate biopsy. Patient demographics, DRE staging, PSA level, PSA density (PSAD), and B-MRI findings were assessed for association with prostate cancer detection on biopsy.
RESULTS: Men with detected prostate cancer tended to be older, with a higher PSA level, higher PSAD, and more screen-positive lesions (SPL) on B-MRI. B-MRI performed well for the detection of prostate cancer with an area under the curve (AUC) of 0.80 (compared with 0.66 and 0.74 for PSA level and PSAD, respectively). We derived combined PSA and MRI-based formulas for detection of prostate cancer with optimised thresholds. (i) for PSA and B-MRI: PSA level + 6 x (the number of SPL) > 14 and (ii) for PSAD and B-MRI: 14 × (PSAD) + (the number of SPL) >4.25. AUC for equations 1 and 2 were 0.83 and 0.87 and overall accuracy of prostate cancer detection was 79% in both models.
CONCLUSIONS: The number of lesions positive on B-MRI outperforms PSA alone in detection of prostate cancer. Furthermore, this imaging criteria coupled as an adjunct with PSA level and PSAD, provides even more accuracy in detecting clinically significant prostate cancer. Published 2014. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  MRI; PSA; PSA density; prostate cancer detection

Mesh:

Substances:

Year:  2014        PMID: 24447678      PMCID: PMC6663482          DOI: 10.1111/bju.12639

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


  48 in total

1.  The role of image guided biopsy targeting in patients with atypical small acinar proliferation.

Authors:  Dima Raskolnikov; Soroush Rais-Bahrami; Arvin K George; Baris Turkbey; Nabeel A Shakir; Chinonyerem Okoro; Jason T Rothwax; Annerleim Walton-Diaz; M Minhaj Siddiqui; Daniel Su; Lambros Stamatakis; Pingkun Yan; Jochen Kruecker; Sheng Xu; Maria J Merino; Peter L Choyke; Bradford J Wood; Peter A Pinto
Journal:  J Urol       Date:  2014-08-20       Impact factor: 7.450

2.  Characterizing indeterminate (Likert-score 3/5) peripheral zone prostate lesions with PSA density, PI-RADS scoring and qualitative descriptors on multiparametric MRI.

Authors:  Mrishta Brizmohun Appayya; Harbir S Sidhu; Nikolaos Dikaios; Edward W Johnston; Lucy Am Simmons; Alex Freeman; Alexander Ps Kirkham; Hashim U Ahmed; Shonit Punwani
Journal:  Br J Radiol       Date:  2017-12-15       Impact factor: 3.039

3.  Diagnostic value of MRI-based PSA density in predicting transperineal sector-guided prostate biopsy outcomes.

Authors:  Findlay MacAskill; Su-Min Lee; David Eldred-Evans; Wahyu Wulaningsih; Rick Popert; Konrad Wolfe; Mieke Van Hemelrijck; Giles Rottenberg; Sidath H Liyanage; Peter Acher
Journal:  Int Urol Nephrol       Date:  2017-05-05       Impact factor: 2.370

Review 4.  Prostate MRI and transperineal TRUS/MRI fusion biopsy for prostate cancer detection: clinical practice updates.

Authors:  Eugenio Martorana; Giacomo Maria Pirola; Maria Cristina Aisa; Pietro Scialpi; Aldo Di Blasi; Giovanni Saredi; Alfredo D'Andrea; Stefano Signore; Riccardo Grisanti; Michele Scialpi
Journal:  Turk J Urol       Date:  2019-07-01

5.  Role of MRI for the detection of prostate cancer.

Authors:  Richard C Wu; Amir H Lebastchi; Boris A Hadaschik; Mark Emberton; Caroline Moore; Pilar Laguna; Jurgen J Fütterer; Arvin K George
Journal:  World J Urol       Date:  2021-01-04       Impact factor: 4.226

6.  [Value of PI-RADS v2 scores combined with prostate specific antigen in diagnosis of peripheral zone prostate cancer: a logistic regression analysis].

Authors:  Li-Zhi Lei; Yi-Kai Xu; Mei-Rong Hou; Meng-Qi He
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-08-20

Review 7.  Optimizing Patient Population for MP-MRI and Fusion Biopsy for Prostate Cancer Detection.

Authors:  Thomas P Frye; Peter A Pinto; Arvin K George
Journal:  Curr Urol Rep       Date:  2015-07       Impact factor: 3.092

8.  Biparametric MRI: a further improvement to PIRADS 2.0?

Authors:  Michele Scialpi; Giuseppe Falcone; Pietro Scialpi; Alfredo D'Andrea
Journal:  Diagn Interv Radiol       Date:  2016 May-Jun       Impact factor: 2.630

Review 9.  Score 3 prostate lesions: a gray zone for PI-RADS v2.

Authors:  Michele Scialpi; Eugenio Martorana; Maria Cristina Aisa; Valeria Rondoni; Alfredo D'Andrea; Giampaolo Bianchi
Journal:  Turk J Urol       Date:  2017-08-03

Review 10.  Biparametric MRI of the prostate.

Authors:  Michele Scialpi; Alfredo D'Andrea; Eugenio Martorana; Corrado Maria Malaspina; Maria Cristina Aisa; Maria Napoletano; Emanuele Orlandi; Valeria Rondoni; Pietro Scialpi; Diamante Pacchiarini; Diego Palladino; Michele Dragone; Giancarlo Di Renzo; Annalisa Simeone; Giampaolo Bianchi; Luca Brunese
Journal:  Turk J Urol       Date:  2017-12-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.