Literature DB >> 22920357

Diagnostic accuracy of ultra-high-b-value 3.0-T diffusion-weighted MR imaging for detection of prostate cancer.

Yoshimitsu Ohgiya1, Jumpei Suyama, Noritaka Seino, Takashi Hashizume, Masaaki Kawahara, Syouei Sai, Makoto Saiki, Jiro Munechika, Masanori Hirose, Takehiko Gokan.   

Abstract

PURPOSE: To investigate the diagnostic accuracy of 3.0-T diffusion-weighted imaging (DWI) for detection of prostate cancer by using different b-values.
METHODS: Seventy-three patients underwent magnetic resonance imaging (MRI) at 3.0 T. Three MRI sets were reviewed by two radiologists: MRI and DWI (b = 500 s/mm(2)) (protocol A), MRI and DWI (b = 1000 s/mm(2)) (protocol B), and MRI and DWI (b = 2000s/mm(2)) (protocol C). Areas under the receiver operating characteristic curve (AUCs) were calculated.
RESULTS: The mean of the AUCs in protocol C was larger than those in protocol A and in protocol B (P<.05).
CONCLUSION: DWI (b = 2000s/mm(2)) at 3.0 T can improve the diagnostic accuracy for detection of prostate cancer.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22920357     DOI: 10.1016/j.clinimag.2011.11.016

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


  22 in total

1.  Computed diffusion-weighted imaging of the prostate at 3 T: impact on image quality and tumour detection.

Authors:  Andrew B Rosenkrantz; Hersh Chandarana; Nicole Hindman; Fang-Ming Deng; James S Babb; Samir S Taneja; Christian Geppert
Journal:  Eur Radiol       Date:  2013-06-12       Impact factor: 5.315

2.  MRI for prostate cancer: can computed high b-value DWI replace native acquisitions?

Authors:  Salma Jendoubi; Mathilde Wagner; Sarah Montagne; Malek Ezziane; Julien Mespoulet; Eva Comperat; Candice Estellat; Amandine Baptiste; Raphaele Renard-Penna
Journal:  Eur Radiol       Date:  2019-03-18       Impact factor: 5.315

3.  Feasibility study of computed vs measured high b-value (1400 s/mm²) diffusion-weighted MR images of the prostate.

Authors:  Leonardo K Bittencourt; Ulrike I Attenberger; Daniel Lima; Ralph Strecker; Andre de Oliveira; Stefan O Schoenberg; Emerson L Gasparetto; Daniel Hausmann
Journal:  World J Radiol       Date:  2014-06-28

4.  Optimal b value of diffusion-weighted imaging on a 3.0T magnetic resonance scanner in Crohn's disease.

Authors:  Qi Feng; Yun-Qi Yan; Jiong Zhu; Jin-Lu Tong; Jian-Rong Xu
Journal:  World J Gastroenterol       Date:  2014-09-21       Impact factor: 5.742

5.  PI-RADS version 2: evaluation of diffusion-weighted imaging interpretation between b = 1000 and b = 1500 s mm-2.

Authors:  Mi-Ri Kwon; Chan Kyo Kim; Jae-Hun Kim
Journal:  Br J Radiol       Date:  2017-10-06       Impact factor: 3.039

6.  Quantitative diffusion MRI using reduced field-of-view and multi-shot acquisition techniques: Validation in phantoms and prostate imaging.

Authors:  Yuxin Zhang; James Holmes; Iñaki Rabanillo; Arnaud Guidon; Shane Wells; Diego Hernando
Journal:  Magn Reson Imaging       Date:  2018-04-17       Impact factor: 2.546

7.  Synthesizing High-b-Value Diffusion-weighted Imaging of the Prostate Using Generative Adversarial Networks.

Authors:  Lei Hu; Da-Wei Zhou; Yun-Fei Zha; Liang Li; Huan He; Wen-Hao Xu; Li Qian; Yi-Kun Zhang; Cai-Xia Fu; Hui Hu; Jun-Gong Zhao
Journal:  Radiol Artif Intell       Date:  2021-06-02

Review 8.  Role of Multiparametric MR Imaging in Malignancies of the Urogenital Tract.

Authors:  Alberto Diaz de Leon; Daniel Costa; Ivan Pedrosa
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

9.  Comparison of calculated and acquired high b value diffusion-weighted imaging in prostate cancer.

Authors:  Kinzya B Grant; Harsh K Agarwal; Joanna H Shih; Marcelino Bernardo; Yuxi Pang; Dagane Daar; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  Abdom Imaging       Date:  2015-03

10.  Low-to-high b value DWI ratio approaches in multiparametric MRI of the prostate: feasibility, optimal combination of b values, and comparison with ADC maps for the visual presentation of prostate cancer.

Authors:  Yin Xi; Alexander Liu; Franklin Olumba; Parker Lawson; Daniel N Costa; Qing Yuan; Gaurav Khatri; Takeshi Yokoo; Ivan Pedrosa; Robert E Lenkinski
Journal:  Quant Imaging Med Surg       Date:  2018-07
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