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Predictive value of MRI in the localization, staging, volume estimation, assessment of aggressiveness, and guidance of radiotherapy and biopsies in prostate cancer.
MedLine Citation:
PMID:  22174000     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
Multiparametric magnetic resonance imaging (MRI) has the potential of being the ideal prostate cancer (PCa) assessment tool. Information gathered with multiparametric MRI can serve therapy choice, guidance of interventions, and treatments. The purpose of this review is to discuss the potential role of multiparametric MRI in focal therapy with respect to patient selection and directing (robot-guided) biopsies and intensity-modulated radiation therapy (IMRT). Multiparametric MRI is a versatile and promising technique. It appears to be the best available imaging technique at the moment in localizing, staging (primary as well as recurrent disease, and local as well as distant disease), determining aggressiveness, and volume of PCa. However, larger study populations in multicenter settings have to confirm these promising results. However, before such studies can be performed more research is needed in order to achieve standardized imaging protocols. J. Magn. Reson. Imaging 2012;35:20-31. © 2011 Wiley Periodicals, Inc.
Authors:
Derya Yakar; Oscar A Debats; Joyce G R Bomers; Martijn G Schouten; Pieter C Vos; Emile van Lin; Jurgen J Fütterer; Jelle O Barentsz
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of magnetic resonance imaging : JMRI     Volume:  35     ISSN:  1522-2586     ISO Abbreviation:  J Magn Reson Imaging     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2011-12-16     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9105850     Medline TA:  J Magn Reson Imaging     Country:  United States    
Other Details:
Languages:  eng     Pagination:  20-31     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 Wiley Periodicals, Inc.
Affiliation:
Department of Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands. D.Yakar@rad.umcn.nl.
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