Literature DB >> 23827086

Prostate MRI: who, when, and how? Report from a UK consensus meeting.

A P S Kirkham1, P Haslam, J Y Keanie, I McCafferty, A R Padhani, S Punwani, J Richenberg, G Rottenberg, A Sohaib, P Thompson, L W Turnbull, L Kurban, A Sahdev, R Clements, B M Carey, C Allen.   

Abstract

The current pathway for men suspected of having prostate cancer [transrectal biopsy, followed in some cases by magnetic resonance imaging (MRI) for staging] results in over-diagnosis of insignificant tumours, and systematically misses disease in the anterior prostate. Multiparametric MRI has the potential to change this pathway, and if performed before biopsy, might enable the exclusion of significant disease in some men without biopsy, targeted biopsy in others, and improvements in the performance of active surveillance. For the potential benefits to be realized, the setting of standards is vital. This article summarizes the outcome of a meeting of UK radiologists, at which a consensus was achieved on (1) the indications for MRI, (2) the conduct of the scan, (3) a method and template for reporting, and (4) minimum standards for radiologists.
Copyright © 2013 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23827086     DOI: 10.1016/j.crad.2013.03.030

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  34 in total

Review 1.  Imaging modalities in focal therapy: patient selection, treatment guidance, and follow-up.

Authors:  Berrend G Muller; Willemien van den Bos; Peter A Pinto; Jean J de la Rosette
Journal:  Curr Opin Urol       Date:  2014-05       Impact factor: 2.309

Review 2.  Multiparametric MRI in prostate cancer management.

Authors:  Linda M Johnson; Baris Turkbey; William D Figg; Peter L Choyke
Journal:  Nat Rev Clin Oncol       Date:  2014-05-20       Impact factor: 66.675

Review 3.  Prognostic Utility of PET in Prostate Cancer.

Authors:  Hossein Jadvar
Journal:  PET Clin       Date:  2015-01-22

4.  Investigating the ability of multiparametric MRI to exclude significant prostate cancer prior to transperineal biopsy.

Authors:  Eva M Serrao; Tristan Barrett; Karan Wadhwa; Deepak Parashar; Julia Frey; Brendan C Koo; Anne Y Warren; Andrew Doble; Christof Kastner; Ferdia A Gallagher
Journal:  Can Urol Assoc J       Date:  2015-12-14       Impact factor: 1.862

5.  Evaluation of the 'Prostate Interdisciplinary Communication and Mapping Algorithm for Biopsy and Pathology' (PIC-MABP).

Authors:  Daniel Junker; Thomas R W Herrmann; Markus Bader; Jasmin Bektic; Gregor Henkel; Stephan Kruck; Markus Sandbichler; David Schilling; Georg Schäfer; Udo Nagele
Journal:  World J Urol       Date:  2015-07-01       Impact factor: 4.226

6.  Diagnostic accuracy of a five-point Likert scoring system for magnetic resonance imaging (MRI) evaluated according to results of MRI/ultrasonography image-fusion targeted biopsy of the prostate.

Authors:  Toshitaka Shin; Thomas B Smyth; Osamu Ukimura; Nariman Ahmadi; Andre Luis de Castro Abreu; Chisato Ohe; Masakatsu Oishi; Hiromitsu Mimata; Inderbir S Gill
Journal:  BJU Int       Date:  2017-08-16       Impact factor: 5.588

7.  Evaluation of the PI-RADS scoring system for mpMRI of the prostate: a whole-mount step-section analysis.

Authors:  Daniel Junker; Michael Quentin; Udo Nagele; Michael Edlinger; Jonathan Richenberg; Georg Schaefer; Michael Ladurner; Werner Jaschke; Wolfgang Horninger; Friedrich Aigner
Journal:  World J Urol       Date:  2014-08-01       Impact factor: 4.226

Review 8.  Prostate cancer and its mimics at multiparametric prostate MRI.

Authors:  J Yu; A S Fulcher; M A Turner; C H Cockrell; E P Cote; T J Wallace
Journal:  Br J Radiol       Date:  2014-03-20       Impact factor: 3.039

9.  Comparison of prostate cancer detection rates between magnetic resonance imaging-targeted biopsy and transrectal ultrasound-guided biopsy according to Prostate Imaging Reporting and Data System in patients with PSA ≥4 ng/mL: a systematic review and meta-analysis.

Authors:  Kai Zhu; Zhiqiang Qin; Jianxin Xue; Chenkui Miao; Ye Tian; Shouyong Liu; Shenhao Zhu; Qi Gu; Chao Hou; Aiming Xu; Jie Yang; Zengjun Wang
Journal:  Transl Androl Urol       Date:  2019-12

10.  Zone-specific logistic regression models improve classification of prostate cancer on multi-parametric MRI.

Authors:  Nikolaos Dikaios; Jokha Alkalbani; Mohamed Abd-Alazeez; Harbir Singh Sidhu; Alex Kirkham; Hashim U Ahmed; Mark Emberton; Alex Freeman; Steve Halligan; Stuart Taylor; David Atkinson; Shonit Punwani
Journal:  Eur Radiol       Date:  2015-02-14       Impact factor: 5.315

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.