Literature DB >> 21665495

Concordance of preoperative prostate endorectal MRI with subsequent prostatectomy specimen in high-risk prostate cancer patients.

Kenneth G Nepple1, Henry M Rosevear, Alan H Stolpen, James A Brown, Richard D Williams.   

Abstract

OBJECTIVE: Endorectal MRI (ER-MRI) may identify areas suspicious for prostate cancer. We evaluated the accuracy of ER-MRI compared with subsequent pathology specimen from prostatectomy.
MATERIALS AND METHODS: We reviewed 309 open radical retropubic prostatectomy cases (RRP) from 2003 to 2008 to identify 94 men with a preoperative ER-MRI, which was obtained in patients with high-risk factors suspicious for local extension (Gleason grade ≥ 4+3, PSA ≥ 10 ng/ml, abnormal rectal exam, or extensive biopsy core involvement). Findings of extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymphadenopathy (LAD) on ER-MRI were compared with subsequent findings on pathology specimens.
RESULTS: Ninety-four men underwent preoperative ER-MRI. No tumor was seen on ER-MRI in 9 men (10%). Of 94 ER-MRIs, 4% showed SVI, and 12% had ECE. At prostatectomy, lymph nodes were pathologically positive in 10 men, none of which were enlarged on ER-MRI. RRP was aborted in 3 of these 10 patients due to positive nodes confirmed on frozen section. Comparing ER-MRI results to subsequent prostatectomy specimen the results for accuracy, positive predictive value, negative predictive value, sensitivity, specificity were 70%, 27%, 76%, 14%, 88% for ECE and 93%, 75%, 94%, 38%, 99% for SVI. The accuracy of ECE prediction was 86% in abnormal rectal exam vs. 66% in normal exam (P < 0.05).
CONCLUSIONS: Endorectal MRI in the evaluation of high-risk prostate cancer was moderately accurate for SV involvement but inaccurate for ECE and insensitive for metastatic lymph node involvement. The predictive accuracy of ER-MRI improved in patients with an abnormal rectal exam.
Copyright © 2013 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21665495     DOI: 10.1016/j.urolonc.2011.05.004

Source DB:  PubMed          Journal:  Urol Oncol        ISSN: 1078-1439            Impact factor:   3.498


  7 in total

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Authors:  Jennifer Salerno; Antonio Finelli; Chris Morash; Scott C Morgan; Nicholas Power; Nichola Schieda; Masoom A Haider
Journal:  Can Urol Assoc J       Date:  2016-10-13       Impact factor: 1.862

2.  Can 3T multiparametric magnetic resonance imaging accurately detect prostate cancer extracapsular extension?

Authors:  Yannick Cerantola; Massimo Valerio; Aida Kawkabani Marchini; Jean-Yves Meuwly; Patrice Jichlinski
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Authors:  Massimiliano Spaliviero; Stefan Harmsen; Ruimin Huang; Matthew A Wall; Chrysafis Andreou; James A Eastham; Karim A Touijer; Peter T Scardino; Moritz F Kircher
Journal:  Mol Imaging Biol       Date:  2016-10       Impact factor: 3.488

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Authors:  Liang Li; Liang Wang; Zhaoyan Feng; Zhiquan Hu; Guoping Wang; Xianglin Yuan; He Wang; Daoyu Hu
Journal:  Quant Imaging Med Surg       Date:  2013-04

Review 5.  Computer aided-diagnosis of prostate cancer on multiparametric MRI: a technical review of current research.

Authors:  Shijun Wang; Karen Burtt; Baris Turkbey; Peter Choyke; Ronald M Summers
Journal:  Biomed Res Int       Date:  2014-12-01       Impact factor: 3.411

6.  Diagnostic accuracy of multiparametric magnetic resonance imaging in detecting extracapsular extension in intermediate and high - risk prostate cancer.

Authors:  Cristina Dominguez; Mauricio Plata; Juan Guillermo Cataño; Mauricio Palau; Diego Aguirre; Jorge Narvaez; Stephanie Trujillo; Felipe Gómez; Carlos Gustavo Trujillo; Juan Ignacio Caicedo; Camilo Medina
Journal:  Int Braz J Urol       Date:  2018 Jul-Aug       Impact factor: 1.541

7.  Targeted prostate biopsy using magnetic resonance imaging-ultrasound fusion.

Authors:  Nathan Bockholt; Leonard S Marks
Journal:  Asian J Androl       Date:  2015 Nov-Dec       Impact factor: 3.285

  7 in total

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