Literature DB >> 25440986

Magnetic resonance-invisible versus magnetic resonance-visible prostate cancer in active surveillance: a preliminary report on disease outcomes.

Seyed Saeid Dianat1, H Ballentine Carter2, Kenneth J Pienta2, Edward M Schaeffer2, Patricia K Landis2, Jonathan I Epstein3, Bruce J Trock2, Katarzyna J Macura4.   

Abstract

OBJECTIVE: To assess the association between magnetic resonance (MR) appearance of prostate cancer on a baseline multiparametric prostate (MP) MR imaging (MRI) and biopsy outcome in men with favorable-risk prostate cancer managed with active surveillance (AS).
MATERIALS AND METHODS: Ninety-six consecutive men (mean age, 67.8 years) who had a baseline MP MRI within 1 year of AS enrollment were included in the study. MP MRI results were analyzed to identify men with MR-invisible tumor defined as no signal abnormality on T2-weighted images, no focal restricted diffusion, and no perfusion abnormality on dynamic contrast-enhanced images. Patients with (n = 84) or without (n = 12) MR-visible tumor were compared and the impact of MR-invisibility of tumor on the risk of adverse biopsy pathology based on the Epstein criteria was investigated with a median follow-up of 23 months.
RESULTS: Adverse biopsy pathology occurred in 36.5% (35 of 96) of patients. There was no significant difference in the fulfillment of AS criteria at enrollment, prostate-specific antigen level or density, prostate volume, and number of biopsies (total or after MRI) between the 2 groups of patients. A total of 8.3% (1 of 12) of men with MR-invisible tumor had adverse biopsy pathology as compared with 40.5% (34 of 84) of men with MR-visible tumors. The MR-invisibility of tumor was associated with a lower risk of adverse biopsy pathology (crude relative risk = 0.35; 95% confidence interval, 0.10-1.25; prostate-specific antigen density-adjusted relative risk = 0.21; 95% confidence interval, 0.03-1.32).
CONCLUSION: The MR-invisibility of tumor on MP MRI could be of prognostic significance in monitoring men in AS with potential benefit of tailoring the frequency of surveillance biopsies and reducing the number of unnecessary biopsies.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25440986     DOI: 10.1016/j.urology.2014.06.085

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  20 in total

1.  Loss of Expression of AZGP1 Is Associated With Worse Clinical Outcomes in a Multi-Institutional Radical Prostatectomy Cohort.

Authors:  James D Brooks; Wei Wei; Jonathan R Pollack; Robert B West; Jun Ho Shin; John B Sunwoo; Sarah J Hawley; Heidi Auman; Lisa F Newcomb; Jeff Simko; Antonio Hurtado-Coll; Dean A Troyer; Peter R Carroll; Martin E Gleave; Daniel W Lin; Peter S Nelson; Ian M Thompson; Lawrence D True; Jesse K McKenney; Ziding Feng; Ladan Fazli
Journal:  Prostate       Date:  2016-06-21       Impact factor: 4.104

2.  Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings.

Authors:  Andrei S Purysko; Cristina Magi-Galluzzi; Omar Y Mian; Sarah Sittenfeld; Elai Davicioni; Marguerite du Plessis; Christine Buerki; Jennifer Bullen; Lin Li; Anant Madabhushi; Andrew Stephenson; Eric A Klein
Journal:  Eur Radiol       Date:  2019-03-07       Impact factor: 5.315

3.  Prostate cancer detection from multi-institution multiparametric MRIs using deep convolutional neural networks.

Authors:  Yohan Sumathipala; Nathan Lay; Baris Turkbey; Clayton Smith; Peter L Choyke; Ronald M Summers
Journal:  J Med Imaging (Bellingham)       Date:  2018-12-15

4.  Radical Prostatectomy Findings in White Hispanic/Latino Men With NCCN Very Low-risk Prostate Cancer Detected by Template Biopsy.

Authors:  Oleksandr N Kryvenko; Kirill Lyapichev; Felix M Chinea; Nachiketh Soodana Prakash; Alan Pollack; Mark L Gonzalgo; Sanoj Punnen; Merce Jorda
Journal:  Am J Surg Pathol       Date:  2016-08       Impact factor: 6.394

5.  Editorial comment.

Authors:  Oliver Sartor; Charles L Bennett
Journal:  Urology       Date:  2014-10-16       Impact factor: 2.649

6.  Further reduction of disqualification rates by additional MRI-targeted biopsy with transperineal saturation biopsy compared with standard 12-core systematic biopsies for the selection of prostate cancer patients for active surveillance.

Authors:  J P Radtke; T H Kuru; D Bonekamp; M T Freitag; M B Wolf; C D Alt; G Hatiboglu; S Boxler; S Pahernik; W Roth; M C Roethke; H P Schlemmer; M Hohenfellner; B A Hadaschik
Journal:  Prostate Cancer Prostatic Dis       Date:  2016-05-17       Impact factor: 5.554

Review 7.  Multiparametric-MRI in diagnosis of prostate cancer.

Authors:  Sangeet Ghai; Masoom A Haider
Journal:  Indian J Urol       Date:  2015 Jul-Sep

Review 8.  Multiparametric magnetic resonance imaging for prostate cancer: A review and update for urologists.

Authors:  Sangjun Yoo; Jeong Kon Kim; In Gab Jeong
Journal:  Korean J Urol       Date:  2015-06-30

Review 9.  Targeted Prostate Biopsy in the Era of Active Surveillance.

Authors:  Fuad F Elkhoury; Demetrios N Simopoulos; Leonard S Marks
Journal:  Urology       Date:  2017-09-27       Impact factor: 2.633

10.  T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.

Authors:  Rakesh Shiradkar; Ananya Panda; Patrick Leo; Andrew Janowczyk; Xavier Farre; Nafiseh Janaki; Lin Li; Shivani Pahwa; Amr Mahran; Christina Buzzy; Pingfu Fu; Robin Elliott; Gregory MacLennan; Lee Ponsky; Vikas Gulani; Anant Madabhushi
Journal:  Eur Radiol       Date:  2020-09-02       Impact factor: 5.315

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