Literature DB >> 29217354

Prostate Magnetic Resonance Imaging Provides Limited Incremental Value Over the Memorial Sloan Kettering Cancer Center Preradical Prostatectomy Nomogram.

John K Weaver1, Eric H Kim1, Joel M Vetter1, Anup Shetty2, Robert L Grubb1, Seth A Strope3, Gerald L Andriole4.   

Abstract

OBJECTIVE: To examine the incremental value of prostate magnetic resonance imaging (MRI) when used in combination with the currently available preoperative risk stratification tool, the Memorial Sloan Kettering Cancer Center (MSKCC) preradical prostatectomy nomogram.
MATERIALS AND METHODS: We reviewed our institutional database of prostate MRI performed before radical prostatectomy between December 2014 and March 2016 (n = 236). We generated a logistic regression model based on observed final pathology results and the MSKCC nomogram predictions for organ-confined disease, extracapsular extension (ECE), seminal vesicle invasion, and lymph node involvement (LNI) ("MSKCC only"). We then generated a combined regression model incorporating both the MSKCC nomogram prediction with the degree of prostate MRI suspicion ("MSKCC + MRI"). Receiver operating characteristic curves were generated, and the area under the curves (AUCs) were compared.
RESULTS: When independently examining the MSKCC nomogram predicted risk and the degree of prostate MRI suspicion, MRI was a predictor for ECE (odds ratio 2.8, P <.01) and LNI (odds ratio 5.6, P = .01). When examining the "MSKCC + MRI" and "MSKCC only" models, the incremental benefit in risk discrimination from the combined model ("MSKCC + MRI") was not significant for organ-confined disease, ECE, seminal vesicle invasion, or LNI (ΔAUC +0.03, P = .10; ΔAUC +0.03, P = .08; ΔAUC 0.63, P = .63; ΔAUC +0.04, P = .42; respectively).
CONCLUSION: A combined model with prostate MRI and the MSKCC nomogram provides no additional risk discrimination over the MSKCC nomogram-based model alone. Evaluation of prostate MRI as a predictive tool should be performed in combination with, not independent of, these clinical risk stratification models.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 29217354     DOI: 10.1016/j.urology.2017.10.051

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


  9 in total

1.  Added Value of Multiparametric Magnetic Resonance Imaging to Clinical Nomograms for Predicting Adverse Pathology in Prostate Cancer.

Authors:  Kareem N Rayn; Jonathan B Bloom; Samuel A Gold; Graham R Hale; Joseph A Baiocco; Sherif Mehralivand; Marcin Czarniecki; Vikram K Sabarwal; Vladimir Valera; Bradford J Wood; Maria J Merino; Peter Choyke; Baris Turkbey; Peter A Pinto
Journal:  J Urol       Date:  2018-05-29       Impact factor: 7.450

2.  Predicting early outcomes in patients with intermediate- and high-risk prostate cancer using prostate-specific membrane antigen positron emission tomography and magnetic resonance imaging.

Authors:  Dennie Meijer; Pim J van Leeuwen; Maarten L Donswijk; Thierry N Boellaard; Ivo G Schoots; Henk G van der Poel; Harry N Hendrikse; Daniela E Oprea-Lager; André N Vis
Journal:  BJU Int       Date:  2021-06-16       Impact factor: 5.969

3.  Low PI-RADS assessment category excludes extraprostatic extension (≥pT3a) of prostate cancer: a histology-validated study including 301 operated patients.

Authors:  Sarah Alessi; Paola Pricolo; Paul Summers; Marco Femia; Elena Tagliabue; Giuseppe Renne; Roberto Bianchi; Gennaro Musi; Ottavio De Cobelli; Barbara Alicja Jereczek-Fossa; Massimo Bellomi; Giuseppe Petralia
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

4.  Correlation of Prostate-Imaging Reporting and Data Scoring System scoring on multiparametric prostate magnetic resonance imaging with histopathological factors in radical prostatectomy material in Turkish prostate cancer patients: a multicenter study of the Urooncology Association.

Authors:  Fuat Kızılay; Serdar Çelik; Sinan Sözen; Bora Özveren; Saadettin Eskiçorapçı; Mahir Özgen; Haluk Özen; Bülent Akdoğan; Güven Aslan; Fehmi Narter; Çağ Çal; Levent Türkeri
Journal:  Prostate Int       Date:  2020-02-08

Review 5.  A narrative review of pelvic lymph node dissection in prostate cancer.

Authors:  Douglas C Cheung; Neil Fleshner; Shomik Sengupta; Dixon Woon
Journal:  Transl Androl Urol       Date:  2020-12

6.  External validation of a magnetic resonance imaging-based algorithm for prediction of side-specific extracapsular extension in prostate cancer.

Authors:  Piotr Zapała; Mieszko Kozikowski; Bartosz Dybowski; Łukasz Zapała; Jakub Dobruch; Piotr Radziszewski
Journal:  Cent European J Urol       Date:  2021-09-18

7.  Contemporary seminal vesicle invasion rates in NCCN high-risk prostate cancer patients.

Authors:  Rocco S Flammia; Benedikt Hoeh; Gabriele Sorce; Francesco Chierigo; Lukas Hohenhorst; Zhen Tian; Jordan A Goyal; Costantino Leonardo; Alberto Briganti; Markus Graefen; Carlo Terrone; Fred Saad; Shahrokh F Shariat; Francesco Montorsi; Felix K H Chun; Michele Gallucci; Pierre I Karakiewicz
Journal:  Prostate       Date:  2022-04-11       Impact factor: 4.012

8.  International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer.

Authors:  Andreas G Wibmer; Michael W Kattan; Francesco Alessandrino; Alexander D J Baur; Lars Boesen; Felipe Boschini Franco; David Bonekamp; Riccardo Campa; Hannes Cash; Violeta Catalá; Sebastien Crouzet; Sounil Dinnoo; James Eastham; Fiona M Fennessy; Kamyar Ghabili; Markus Hohenfellner; Angelique W Levi; Xinge Ji; Vibeke Løgager; Daniel J Margolis; Paul C Moldovan; Valeria Panebianco; Tobias Penzkofer; Philippe Puech; Jan Philipp Radtke; Olivier Rouvière; Heinz-Peter Schlemmer; Preston C Sprenkle; Clare M Tempany; Joan C Vilanova; Jeffrey Weinreb; Hedvig Hricak; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

9.  Prostate-specific membrane antigen positron emission tomography (PSMA-PET) for local staging of prostate cancer: a systematic review and meta-analysis.

Authors:  Sungmin Woo; Soleen Ghafoor; Anton S Becker; Sangwon Han; Andreas G Wibmer; Hedvig Hricak; Irene A Burger; Heiko Schöder; Hebert Alberto Vargas
Journal:  Eur J Hybrid Imaging       Date:  2020-09-09
  9 in total

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