Literature DB >> 25938212

Multiparametric Prostate Magnetic Resonance Imaging at 3 T: Failure of Magnetic Resonance Spectroscopy to Provide Added Value.

Ivan Platzek1, Angelika Borkowetz, Marieta Toma, Thomas Brauer, Christoph Meissner, Katrin Dietel, Manfred Wirth, Michael Laniado.   

Abstract

PURPOSE: To assess the effect of proton magnetic resonance spectroscopy imaging (MRSI) on the accuracy of multiparametric magnetic resonance imaging (mpMRI) at 3 T for prostate cancer detection.
MATERIALS AND METHODS: Thirty-four patients with prostate cancer were included in this retrospective study. All patients underwent preoperative mpMRI on a 3-T scanner before radical prostatectomy. Magnetic resonance imaging evaluation was based on the prostate imaging-reporting and data system classification system. The accuracy of mpMRI with and without MRSI was determined using receiver operating characteristic analysis, with histology as the reference standard.
RESULTS: Multiparametric MRI including MRSI had a sensitivity of 57.0% and a specificity of 89.2% for sextant-based cancer detection. Multiparametric MRI without MRSI had a sensitivity of 58.1% and a specificity of 87.4%. There was no significant difference regarding the accuracy of mpMRI with and without MRSI (P = 0.48).
CONCLUSION: The addition of MRSI does not improve the accuracy of 3 T mpMRI for sextant localization of prostate cancer.

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Year:  2015        PMID: 25938212     DOI: 10.1097/RCT.0000000000000261

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  6 in total

Review 1.  Multiparametric MRI for prostate cancer diagnosis: current status and future directions.

Authors:  Armando Stabile; Francesco Giganti; Andrew B Rosenkrantz; Samir S Taneja; Geert Villeirs; Inderbir S Gill; Clare Allen; Mark Emberton; Caroline M Moore; Veeru Kasivisvanathan
Journal:  Nat Rev Urol       Date:  2019-07-17       Impact factor: 14.432

Review 2.  Proton magnetic resonance spectroscopy in oncology: the fingerprints of cancer?

Authors:  Roberto García-Figueiras; Sandra Baleato-González; Anwar R Padhani; Laura Oleaga; Joan C Vilanova; Antonio Luna; Juan Carlos Cobas Gómez
Journal:  Diagn Interv Radiol       Date:  2016 Jan-Feb       Impact factor: 2.630

Review 3.  Prostate imaging reporting and data system version 2 (PI-RADS v2): a pictorial review.

Authors:  Elmira Hassanzadeh; Daniel I Glazer; Ruth M Dunne; Fiona M Fennessy; Mukesh G Harisinghani; Clare M Tempany
Journal:  Abdom Radiol (NY)       Date:  2017-01

4.  Investigating the role of DCE-MRI, over T2 and DWI, in accurate PI-RADS v2 assessment of clinically significant peripheral zone prostate lesions as defined at radical prostatectomy.

Authors:  Mehdi Taghipour; Alireza Ziaei; Francesco Alessandrino; Elmira Hassanzadeh; Mukesh Harisinghani; Mark Vangel; Clare M Tempany; Fiona M Fennessy
Journal:  Abdom Radiol (NY)       Date:  2019-04

5.  Impact of the integration of proton magnetic resonance imaging spectroscopy to PI-RADS 2 for prediction of high grade and high stage prostate cancer.

Authors:  Michael S Leapman; Zhen J Wang; Spencer C Behr; John Kurhanewicz; Ronald J Zagoria; Peter R Carroll; Antonio C Westphalen
Journal:  Radiol Bras       Date:  2017 Sep-Oct

6.  Magnetic resonance spectroscopy imaging in diagnosis of suspicious prostate cancer: A meta-analysis.

Authors:  Weiguo Cai; Dongyong Zhu; Sama Byanju; Jie Chen; Hanfei Zhang; Yanfang Wang; Meiyan Liao
Journal:  Medicine (Baltimore)       Date:  2019-04       Impact factor: 1.817

  6 in total

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