Literature DB >> 23680307

The predictive value of endorectal 3 Tesla multiparametric magnetic resonance imaging for extraprostatic extension in patients with low, intermediate and high risk prostate cancer.

D M Somford1, E H Hamoen, J J Fütterer, J P van Basten, C A Hulsbergen-van de Kaa, W Vreuls, I M van Oort, H Vergunst, L A Kiemeney, J O Barentsz, J A Witjes.   

Abstract

PURPOSE: We determined the positive and negative predictive values of multiparametric magnetic resonance imaging for extraprostatic extension at radical prostatectomy for different prostate cancer risk groups.
MATERIALS AND METHODS: We evaluated a cohort of 183 patients who underwent 3 Tesla multiparametric magnetic resonance imaging, including T2-weighted, diffusion weighted magnetic resonance imaging and dynamic contrast enhanced sequences, with an endorectal coil before radical prostatectomy. Pathological stage at radical prostatectomy was used as standard reference for extraprostatic extension. The cohort was classified into low, intermediate and high risk groups according to the D'Amico criteria. We recorded prevalence of extraprostatic extension at radical prostatectomy and determined sensitivity, specificity, positive predictive value and negative predictive value of multiparametric magnetic resonance imaging for extraprostatic extension in each group. Univariate and multivariate analyses were performed to identify predictors of extraprostatic extension at radical prostatectomy.
RESULTS: The overall prevalence of extraprostatic extension at radical prostatectomy was 49.7% ranging from 24.7% to 77.1% between low and high risk categories. Overall staging accuracy of multiparametric magnetic resonance imaging for extraprostatic extension was 73.8%, with sensitivity, specificity, positive predictive value and negative predictive value of 58.2%, 89.1%, 84.1% and 68.3%, respectively. Positive predictive value of multiparametric magnetic resonance imaging for extraprostatic extension was best in the high risk cohort with 88.8%. Negative predictive value was highest in the low risk cohort with 87.7%. With an odds ratio of 10.3 multiparametric magnetic resonance imaging is by far the best preoperative predictor of extraprostatic extension at radical prostatectomy.
CONCLUSIONS: For adequate patient counseling, knowledge of predictive values of multiparametric magnetic resonance imaging for extraprostatic extension is of utmost importance. High negative predictive value, important for decisions on nerve sparing strategies at radical prostatectomy, is only reached in low risk subjects.
Copyright © 2013 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  DCE; DRE; DWI; EPE; ERC; MP-MRI; MR; MRI; NPV; PCa; PPV; PSA; PSM; RP; SVI; TRUS; diffusion weighted MRI; digital rectal examination; dynamic contrast enhanced; endorectal coil; extraprostatic extension; magnetic resonance; magnetic resonance imaging; multiparametric magnetic resonance imaging; negative predictive value; neoplasm staging; positive predictive value; positive surgical margin; predictive value of tests; prostate cancer; prostate specific antigen; prostatic neoplasms; radical prostatectomy; risk; seminal vesicle invasion; transrectal ultrasound

Mesh:

Year:  2013        PMID: 23680307     DOI: 10.1016/j.juro.2013.05.021

Source DB:  PubMed          Journal:  J Urol        ISSN: 0022-5347            Impact factor:   7.450


  57 in total

Review 1.  Anatomic and Molecular Imaging in Prostate Cancer.

Authors:  Eric T Miller; Amirali Salmasi; Robert E Reiter
Journal:  Cold Spring Harb Perspect Med       Date:  2018-03-01       Impact factor: 6.915

2.  Prostate cancer: Can image-guided biopsy findings evaluate risk of ECE?

Authors:  Daniel Portalez; Bernard Malavaud
Journal:  Nat Rev Urol       Date:  2015-05-05       Impact factor: 14.432

3.  Preoperative Prediction of Extracapsular Extension: Radiomics Signature Based on Magnetic Resonance Imaging to Stage Prostate Cancer.

Authors:  Shuai Ma; Huihui Xie; Huihui Wang; Jiejin Yang; Chao Han; Xiaoying Wang; Xiaodong Zhang
Journal:  Mol Imaging Biol       Date:  2020-06       Impact factor: 3.488

4.  Effect of Prostate Magnetic Resonance Imaging/Ultrasound Fusion-guided Biopsy on Radiation Treatment Recommendations.

Authors:  Aaron Reed; Luca F Valle; Uma Shankavaram; Andra Krauze; Aradhana Kaushal; Erica Schott; Theresa Cooley-Zgela; Bradford Wood; Peter Pinto; Peter Choyke; Baris Turkbey; Deborah E Citrin
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-12-18       Impact factor: 7.038

Review 5.  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

6.  Utility of preoperative 3 Tesla pelvic phased-array multiparametric magnetic resonance imaging in prediction of extracapsular extension and seminal vesicle invasion of prostate cancer and its impact on surgical margin status: Experience at a Canadian academic tertiary care centre.

Authors:  Taehyoung Lee; Jen Hoogenes; Ian Wright; Edward D Matsumoto; Bobby Shayegan
Journal:  Can Urol Assoc J       Date:  2017-05-09       Impact factor: 1.862

Review 7.  Imaging and evaluation of patients with high-risk prostate cancer.

Authors:  Marc A Bjurlin; Andrew B Rosenkrantz; Luis S Beltran; Roy A Raad; Samir S Taneja
Journal:  Nat Rev Urol       Date:  2015-10-20       Impact factor: 14.432

8.  Temporal changes in MRI appearance of the prostate after focal ablation.

Authors:  Andreas M Hötker; Andreas Meier; Yousef Mazaheri; Junting Zheng; Marinela Capanu; Joshua Chaim; Ramon Sosa; Jonathan Coleman; Hedvig Hricak; Oguz Akin
Journal:  Abdom Radiol (NY)       Date:  2019-01

Review 9.  Risk stratification of prostate cancer: integrating multiparametric MRI, nomograms and biomarkers.

Authors:  Matthew J Watson; Arvin K George; Mahir Maruf; Thomas P Frye; Akhil Muthigi; Michael Kongnyuy; Subin G Valayil; Peter A Pinto
Journal:  Future Oncol       Date:  2016-07-12       Impact factor: 3.404

10.  Role of multiparametric magnetic resonance imaging in the diagnosis of prostate cancer.

Authors:  Soroush Rais-Bahrami; Baris Turkbey; Kinzya B Grant; Peter A Pinto; Peter L Choyke
Journal:  Curr Urol Rep       Date:  2014-03       Impact factor: 3.092

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