Literature DB >> 28424829

[MRI of the prostate].

D Nörenberg1, O Solyanik2, B Schlenker3, G Magistro3, B Ertl-Wagner2, D A Clevert2, C Stief3, M F Reiser2, M D'Anastasi2.   

Abstract

New clinical and technological advances in the field of magnetic resonance imaging (MRI) and targeted image-guided biopsy techniques have significantly improved the detection, localization and staging as well as active surveillance of prostate cancer in recent years. Multiparametric MRI (mpMRI) is currently the main imaging technique for the detection, characterization and diagnostics of metastasizing prostate cancer and is of high diagnostic importance for local staging within the framework of the detection of prostate cancer.

Entities:  

Keywords:  Fusion biopsy; Image-guided biopsy; Magnetic resonance imaging; Prostate imaging reporting and data system; Prostatic neoplasms

Mesh：

Year:  2017        PMID： 28424829     DOI： 10.1007/s00120-017-0378-4

Source DB:  PubMed          Journal:  Urologe A        ISSN： 0340-2592            Impact factor:   0.639


  30 in total

1.  Accuracy of preoperative multiparametric magnetic resonance imaging for prediction of unfavorable pathology in patients with localized prostate cancer undergoing radical prostatectomy.

Authors:  Hakmin Lee; Chan Kyo Kim; Byung Kwan Park; Hyun Hwan Sung; Deok Hyun Han; Hwang Gyun Jeon; Byong Chang Jeong; Seong Il Seo; Seong Soo Jeon; Han Yong Choi; Hyun Moo Lee
Journal:  World J Urol       Date:  2016-10-13       Impact factor: 4.226

2.  Transition zone prostate cancers: features, detection, localization, and staging at endorectal MR imaging.

Authors:  Oguz Akin; Evis Sala; Chaya S Moskowitz; Kentaro Kuroiwa; Nicole M Ishill; Darko Pucar; Peter T Scardino; Hedvig Hricak
Journal:  Radiology       Date:  2006-03-28       Impact factor: 11.105

3.  High-b-value diffusion-weighted imaging at 3 T to detect prostate cancer: comparisons between b values of 1,000 and 2,000 s/mm2.

Authors:  Chan Kyo Kim; Byung Kwan Park; Bohyun Kim
Journal:  AJR Am J Roentgenol       Date:  2010-01       Impact factor: 3.959

Review 4.  Prostate cancer: top places where tumors hide on multiparametric MRI.

Authors:  Andrew B Rosenkrantz; Sadhna Verma; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2015-04       Impact factor: 3.959

Review 5.  Multiparametric prostate MRI: focus on T2-weighted imaging and role in staging of prostate cancer.

Authors:  Rajan T Gupta; Benjamin Spilseth; Nayana Patel; Alison F Brown; Jinxing Yu
Journal:  Abdom Radiol (NY)       Date:  2016-05

6.  Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images.

Authors:  Duc Fehr; Harini Veeraraghavan; Andreas Wibmer; Tatsuo Gondo; Kazuhiro Matsumoto; Herbert Alberto Vargas; Evis Sala; Hedvig Hricak; Joseph O Deasy
Journal:  Proc Natl Acad Sci U S A       Date:  2015-11-02       Impact factor: 11.205

7.  Assessment of PI-RADS v2 for the Detection of Prostate Cancer.

Authors:  Moritz Kasel-Seibert; Thomas Lehmann; René Aschenbach; Felix V Guettler; Mohamed Abubrig; Marc-Oliver Grimm; Ulf Teichgraeber; Tobias Franiel
Journal:  Eur J Radiol       Date:  2016-01-19       Impact factor: 3.528

8.  Multiparametric magnetic resonance imaging guided diagnostic biopsy detects significant prostate cancer and could reduce unnecessary biopsies and over detection: a prospective study.

Authors:  James E Thompson; Daniel Moses; Ron Shnier; Phillip Brenner; Warick Delprado; Lee Ponsky; Marley Pulbrook; Maret Böhm; Anne-Maree Haynes; Andrew Hayen; Phillip D Stricker
Journal:  J Urol       Date:  2014-02-08       Impact factor: 7.450

9.  MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection.

Authors:  Andrew Cameron; Farzad Khalvati; Masoom A Haider; Alexander Wong
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-01       Impact factor: 4.538

10.  Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study.

Authors:  Hashim U Ahmed; Ahmed El-Shater Bosaily; Louise C Brown; Rhian Gabe; Richard Kaplan; Mahesh K Parmar; Yolanda Collaco-Moraes; Katie Ward; Richard G Hindley; Alex Freeman; Alex P Kirkham; Robert Oldroyd; Chris Parker; Mark Emberton
Journal:  Lancet       Date:  2017-01-20       Impact factor: 79.321
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