Literature DB >> 18603841

High b-value diffusion-weighted imaging in normal and malignant peripheral zone tissue of the prostate: effect of signal-to-noise ratio.

Kazuhiro Kitajima1, Yasushi Kaji, Kagayaki Kuroda, Kazuro Sugimura.   

Abstract

PURPOSE: To determine whether the apparent diffusion coefficient (ADC) obtained using a high b-value (2,000 s/mm2) is superior to that using a standard b-value (1,000 s/mm2) for discriminating malignant from normal peripheral tissue in the prostate.
METHODS: Twenty-six patients with biopsy-proven prostate cancer underwent 1.5T magnetic resonance (MR) imaging including single-shot, echo-planar diffusion-weighted imaging (DWI) with repetition time/echo time, 3500/88 ms; 4-mm slice thickness; 1-mm interslice gap; 144x128 matrix; field of view, 250x250 mm; number of excitations, 10; and b-values, 0, 1,000, and 2,000 s/mm2. For each patient, ADC values were obtained for malignant and normal tissue using b=1,000 and 2,000 in a monoexponential model. Signal-to-noise (SNR) and contrast-to-noise (CNR) ratios in DWI were also evaluated.
RESULTS: At b=1,000, the mean ADC (x10(-3) mm2/s) for malignant tissue was 0.82+/-0.27 (range 0.43-1.29) and for normal tissue, 1.69+/-0.23 (1.31-2.18). At b=2000, the mean ADC for malignant tissue was 0.61+/-0.19 (0.30-0.94) and for normal tissue, 1.01+/-0.14 (0.73-1.35). Significant ADC overlap between the malignant and normal tissue was recognized at b=2000. As b-value increased, the mean SNR within malignant tissue decreased by 21.6%, and mean CNR decreased 17.3%.
CONCLUSIONS: Under the same imaging conditions, measuring ADC using a high b-value (2,000 s/mm2) in a monoexponential model has little diagnostic advantage over using the standard b-value (1,000 s/mm2) in discriminating malignant from normal prostate tissue.

Entities:  

Mesh:

Year:  2008        PMID: 18603841     DOI: 10.2463/mrms.7.93

Source DB:  PubMed          Journal:  Magn Reson Med Sci        ISSN: 1347-3182            Impact factor:   2.471


  31 in total

Review 1.  Diffusion weighted imaging in prostate cancer.

Authors:  Cher Heng Tan; Jihong Wang; Vikas Kundra
Journal:  Eur Radiol       Date:  2010-10-09       Impact factor: 5.315

2.  Increased signal intensity of prostate lesions on high b-value diffusion-weighted images as a predictive sign of malignancy.

Authors:  Michael Quentin; Lars Schimmöller; Christian Arsov; Robert Rabenalt; Gerald Antoch; Peter Albers; Dirk Blondin
Journal:  Eur Radiol       Date:  2013-08-31       Impact factor: 5.315

3.  Computed diffusion-weighted imaging using 3-T magnetic resonance imaging for prostate cancer diagnosis.

Authors:  Yoshiko Ueno; Satoru Takahashi; Kazuhiro Kitajima; Tokunori Kimura; Ikuo Aoki; Fumi Kawakami; Hideaki Miyake; Yoshiharu Ohno; Kazuro Sugimura
Journal:  Eur Radiol       Date:  2013-07-25       Impact factor: 5.315

4.  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

5.  Determination of the cutoff level of apparent diffusion coefficient values for detection of prostate cancer.

Authors:  Masako Nagayama; Yuji Watanabe; Akito Terai; Tohru Araki; Kenji Notohara; Akira Okumura; Yoshiki Amoh; Takayoshi Ishimori; Satoru Nakashita; Yoshihiro Dodo
Journal:  Jpn J Radiol       Date:  2011-09-01       Impact factor: 2.374

6.  Computed diffusion-weighted MRI for prostate cancer detection: the influence of the combinations of b-values.

Authors:  Y Ueno; S Takahashi; Y Ohno; K Kitajima; M Yui; Y Kassai; F Kawakami; H Miyake; K Sugimura
Journal:  Br J Radiol       Date:  2015-01-21       Impact factor: 3.039

7.  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

8.  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

Review 9.  Diffusion-weighted imaging with apparent diffusion coefficient mapping and spectroscopy in prostate cancer.

Authors:  Michael A Jacobs; Ronald Ouwerkerk; Kyle Petrowski; Katarzyna J Macura
Journal:  Top Magn Reson Imaging       Date:  2008-12

Review 10.  Imaging techniques for prostate cancer: implications for focal therapy.

Authors:  Baris Turkbey; Peter A Pinto; Peter L Choyke
Journal:  Nat Rev Urol       Date:  2009-04       Impact factor: 14.432

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