Literature DB >> 19472393

Diffusion-weighted imaging of prostate cancer: correlation between apparent diffusion coefficient values and tumor proliferation.

Xi Zhen Wang1, Bin Wang, Zhi Qin Gao, Jin Gang Liu, Zuo Qin Liu, Qing Liang Niu, Zhen Kui Sun, Yu Xiao Yuan.   

Abstract

PURPOSE: To investigate whether the apparent diffusion coefficient (ADC) values of prostate cancer (PCa) are able to reflect tumor proliferation.
MATERIALS AND METHODS: The clinical and pathological information for 38 patients with PCa and 33 patients with benign prostate hyperplasia (BPH) were studied. Examination of the patients was performed using a 1.5 T superconducting magnetic scanner equipped with a pelvic phased-array multicoil. Diffusion-weighted images (DWIs) were acquired using an echo-planar imaging sequence. The ADC values of PCa, BPH, and peripheral zone (PZ) were calculated. The cellularity of PCa was recorded based on hematoxylin and eosin staining. The proliferating cell nuclear antigen (PCNA) was detected using an immunohistochemical technique.
RESULTS: The ADC values of PCa, BPH, and PZ were 49.32 +/- 12.68 x 10(-5) mm(2)/s, 86.73 +/- 26.75 x 10(-5) mm(2)/s, and 126.25 +/- 27.21 x 10(-5) mm(2)/s, respectively. The ADC values of PCa were lower than those of BPH and PZ (P < 0.05). The cellularity and PCNA labeling index (LI) of PCa were higher than those of BPH (P < 0.05). The ADC values of PCa were negatively correlated with those of cellularity and PCNA LI (r = -0.646 and -0.446, respectively; P < 0.05).
CONCLUSION: The ADC values of PCa can reveal the differences in proliferative activity between PCa and BPH. These values are therefore able to predict the proliferative rate of variously differentiated prostate cancers.

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Year:  2009        PMID: 19472393     DOI: 10.1002/jmri.21797

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  25 in total

Review 1.  Diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for monitoring anticancer therapy.

Authors:  Anwar R Padhani; Aftab Alam Khan
Journal:  Target Oncol       Date:  2010-04-11       Impact factor: 4.493

2.  Can Apparent Diffusion Coefficient Values Assist PI-RADS Version 2 DWI Scoring? A Correlation Study Using the PI-RADSv2 and International Society of Urological Pathology Systems.

Authors:  Sonia Gaur; Stephanie Harmon; Lauren Rosenblum; Matthew D Greer; Sherif Mehralivand; Mehmet Coskun; Maria J Merino; Bradford J Wood; Joanna H Shih; Peter A Pinto; Peter L Choyke; Baris Turkbey
Journal:  AJR Am J Roentgenol       Date:  2018-05-07       Impact factor: 3.959

3.  A Multireader Exploratory Evaluation of Individual Pulse Sequence Cancer Detection on Prostate Multiparametric Magnetic Resonance Imaging (MRI).

Authors:  Sonia Gaur; Stephanie Harmon; Rajan T Gupta; Daniel J Margolis; Nathan Lay; Sherif Mehralivand; Maria J Merino; Bradford J Wood; Peter A Pinto; Joanna H Shih; Peter L Choyke; Baris Turkbey
Journal:  Acad Radiol       Date:  2018-04-25       Impact factor: 3.173

4.  Amide proton transfer MR imaging of prostate cancer: a preliminary study.

Authors:  Guang Jia; Ronney Abaza; JoAnna D Williams; Debra L Zynger; Jinyuan Zhou; Zarine K Shah; Mitva Patel; Steffen Sammet; Lai Wei; Robert R Bahnson; Michael V Knopp
Journal:  J Magn Reson Imaging       Date:  2011-03       Impact factor: 4.813

Review 5.  Round table: arguments in supporting abbreviated or biparametric MRI of the prostate protocol.

Authors:  Michele Scialpi; Eugenio Martorana; Pietro Scialpi; Alfredo D'Andrea; Riccardo Torre; Aldo Di Blasi; Stefano Signore
Journal:  Abdom Radiol (NY)       Date:  2020-12

Review 6.  MRI of localized prostate cancer: coming of age in the PSA era.

Authors:  Barış Türkbey; Marcelino Bernardo; Maria J Merino; Bradford J Wood; Peter A Pinto; Peter L Choyke
Journal:  Diagn Interv Radiol       Date:  2011-09-16       Impact factor: 2.630

7.  Monitoring the development of xenograft triple-negative breast cancer models using diffusion-weighted magnetic resonance imaging.

Authors:  Renu M Stephen; Mark D Pagel; Kathy Brown; Amanda F Baker; Emmanuelle J Meuillet; Robert J Gillies
Journal:  Exp Biol Med (Maywood)       Date:  2012-11

8.  Is apparent diffusion coefficient associated with clinical risk scores for prostate cancers that are visible on 3-T MR images?

Authors:  Baris Turkbey; Vijay P Shah; Yuxi Pang; Marcelino Bernardo; Sheng Xu; Jochen Kruecker; Julia Locklin; Angelo A Baccala; Ardeshir R Rastinehad; Maria J Merino; Joanna H Shih; Bradford J Wood; Peter A Pinto; Peter L Choyke
Journal:  Radiology       Date:  2010-12-21       Impact factor: 11.105

9.  Correlation of magnetic resonance imaging with digital histopathology in prostate.

Authors:  Jin Tae Kwak; Sandeep Sankineni; Sheng Xu; Baris Turkbey; Peter L Choyke; Peter A Pinto; Maria Merino; Bradford J Wood
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-09-04       Impact factor: 2.924

Review 10.  Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer.

Authors:  John V Hegde; Robert V Mulkern; Lawrence P Panych; Fiona M Fennessy; Andriy Fedorov; Stephan E Maier; Clare M C Tempany
Journal:  J Magn Reson Imaging       Date:  2013-05       Impact factor: 4.813

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