Literature DB >> 27576750

The Incremental Role of Magnetic Resonance Imaging for Prostate Cancer Staging before Radical Prostatectomy.

Alessandro Morlacco1, Vidit Sharma1, Boyd R Viers1, Laureano J Rangel2, Rachel E Carlson2, Adam T Froemming3, R Jeffrey Karnes4.   

Abstract

In the present report we aimed to analyze the incremental value of preoperative magnetic resonance imaging (MRI), in addition to clinical variables and clinically-derived nomograms, in predicting outcomes radical prostatectomy (RP). All Mayo Clinic RP patients who underwent preoperative 1.5-Tesla MRI with endo-rectal coil from 2003 to 2013 were identified. Clinical and histopathological variables were used to calculate Partin estimates and Cancer of the Prostate Risk Assessment (CAPRA) score. MRI results in terms of extracapsular extension (ECE), seminal vesicle invasion (SVI), and lymph-node invasion (N+) were recorded. Using RP pathology as gold standard, we developed multivariate logistic regression models based on clinical variables, Partin Tables, and CAPRA score, and assessed their predictive accuracy before and after the addition of MRI results. Five hundred and one patients were included. MRI + clinical models outperformed clinical-based models alone for all outcomes. Comparing Partin and Partin + MRI predictive models, the areas under the curve were 0.61 versus 0.73 for ECE, 0.75 versus 0.82 for SVI, and 0.82 versus 0.85 for N+. Comparing CAPRA and CAPRA + MRI models, the areas under the curve were 0.69 versus 0.77 for ECE, 0.75 versus 0.83 for SVI, and 0.82 versus 0.85 for N+. Our data show that MRI can improve clinical-based models in prediction of nonorgan confined disease, particularly for ECE and SVI. PATIENT
SUMMARY: Magnetic resonance imaging, together with clinical information, can be useful in preoperative assessment before radical prostatectomy.
Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CAPRA score; MRI; Partin Table; Predictive models; Prostate cancer; Prostatectomy; Risk assessment; Staging

Mesh:

Year:  2016        PMID: 27576750     DOI: 10.1016/j.eururo.2016.08.015

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  21 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.  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

3.  Artificial intelligence is a promising prospect for the detection of prostate cancer extracapsular extension with mpMRI: a two-center comparative study.

Authors:  Ying Hou; Yi-Hong Zhang; Jie Bao; Mei-Ling Bao; Guang Yang; Hai-Bin Shi; Yang Song; Yu-Dong Zhang
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-05-21       Impact factor: 9.236

4.  Assessing Extraprostatic Extension with Multiparametric MRI of the Prostate: Mehralivand Extraprostatic Extension Grade or Extraprostatic Extension Likert Scale?

Authors:  Lars A R Reisæter; Ole J Halvorsen; Christian Beisland; Alfred Honoré; Karsten Gravdal; Are Losnegård; Jan Monssen; Lars A Akslen; Martin Biermann
Journal:  Radiol Imaging Cancer       Date:  2020-01-17

5.  A Grading System for the Assessment of Risk of Extraprostatic Extension of Prostate Cancer at Multiparametric MRI.

Authors:  Sherif Mehralivand; Joanna H Shih; Stephanie Harmon; Clayton Smith; Jonathan Bloom; Marcin Czarniecki; Samuel Gold; Graham Hale; Kareem Rayn; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Radiology       Date:  2019-01-22       Impact factor: 11.105

6.  Radiomics Based on Multiparametric Magnetic Resonance Imaging to Predict Extraprostatic Extension of Prostate Cancer.

Authors:  Lili Xu; Gumuyang Zhang; Lun Zhao; Li Mao; Xiuli Li; Weigang Yan; Yu Xiao; Jing Lei; Hao Sun; Zhengyu Jin
Journal:  Front Oncol       Date:  2020-06-16       Impact factor: 6.244

7.  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

8.  Association between a 17-gene genomic prostate score and multi-parametric prostate MRI in men with low and intermediate risk prostate cancer (PCa).

Authors:  Michael S Leapman; Antonio C Westphalen; Niloufar Ameli; H Jeffrey Lawrence; Phillip G Febbo; Matthew R Cooperberg; Peter R Carroll
Journal:  PLoS One       Date:  2017-10-10       Impact factor: 3.240

Review 9.  Multi-parametric magnetic resonance imaging as a management decision tool.

Authors:  David C Johnson; Robert E Reiter
Journal:  Transl Androl Urol       Date:  2017-06

10.  Accuracy in local staging of prostate cancer by adding a three-dimensional T2-weighted sequence with radial reconstructions in magnetic resonance imaging.

Authors:  Fredrik Jäderling; Tommy Nyberg; Michael Öberg; Stefan Carlsson; Mikael Skorpil; Lennart Blomqvist
Journal:  Acta Radiol Open       Date:  2018-02-08
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