Literature DB >> 18504750

Apparent diffusion coefficient in pancreatic cancer: characterization and histopathological correlations.

Noriaki Muraoka1, Hidemasa Uematsu, Hirohiko Kimura, Yoshiaki Imamura, Yasuhiro Fujiwara, Makoto Murakami, Akio Yamaguchi, Harumi Itoh.   

Abstract

PURPOSE: To clarify the components primarily responsible for diffusion abnormalities in pancreatic cancerous tissue.
MATERIALS AND METHODS: Subjects comprised 10 patients with surgically confirmed pancreatic cancer. Diffusion-weighted (DW) echo-planar imaging (b value = 0, 500 s/mm(2)) was employed to calculate the apparent diffusion coefficient (ADC). ADC values of cancer and noncancerous tissue were calculated. Furthermore, ADC values of the cancer were compared with histopathological results.
RESULTS: The mean (+/-standard deviation) ADC value was significantly lower for tumor (1.27 +/- 0.52 x 10(-3) mm(2)/s) than for noncancerous tissue (1.90 +/- 0.41 x 10(-3) mm(2)/s, P < 0.05). Histopathological examination showed similar proportions of fibrotic area, cellular component, necrosis, and mucin in each case. Regarding the density of fibrosis in cancer, three cases were classified in the loose fibrosis group and the remaining seven cases were classified in the dense fibrosis group. The mean ADC value was significantly higher in the loose fibrosis group (1.88 +/- 0.39 x 10(-3) mm(2)/s) than in the dense fibrosis group (1.01 +/- 0.29 x 10(-3) mm(2)/s, P < 0.05). In quantitative analysis, ADC correlated well with the proportion of collagenous fibers (r = -0.87, P < 0.05).
CONCLUSION: Collagenous fibers may be responsible for diffusion abnormalities in pancreatic cancer. 2008 Wiley-Liss, Inc

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Year:  2008        PMID: 18504750     DOI: 10.1002/jmri.21340

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


  55 in total

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2.  Utility of diffusion-weighted imaging in the evaluation of liver fibrosis.

Authors:  Ayse Ahsen Bakan; Ercan Inci; Selim Bakan; Suut Gokturk; Tan Cimilli
Journal:  Eur Radiol       Date:  2011-10-09       Impact factor: 5.315

Review 3.  Diffusion-weighted imaging of pancreatic cancer.

Authors:  Riccardo De Robertis; Paolo Tinazzi Martini; Emanuele Demozzi; Flavia Dal Corso; Claudio Bassi; Paolo Pederzoli; Mirko D'Onofrio
Journal:  World J Radiol       Date:  2015-10-28

Review 4.  Functional MRI and CT biomarkers in oncology.

Authors:  J M Winfield; G S Payne; N M deSouza
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-01-13       Impact factor: 9.236

Review 5.  Diffusion-weighted imaging of biliopancreatic disorders: correlation with conventional magnetic resonance imaging.

Authors:  Nam Kyung Lee; Suk Kim; Gwang Ha Kim; Dong Uk Kim; Hyung Il Seo; Tae Un Kim; Dae Hwan Kang; Ho Jin Jang
Journal:  World J Gastroenterol       Date:  2012-08-21       Impact factor: 5.742

Review 6.  Various diffusion magnetic resonance imaging techniques for pancreatic cancer.

Authors:  Meng-Yue Tang; Xiao-Ming Zhang; Tian-Wu Chen; Xiao-Hua Huang
Journal:  World J Radiol       Date:  2015-12-28

7.  Magnetization transfer MRI in pancreatic cancer xenograft models.

Authors:  Weiguo Li; Zhuoli Zhang; Jodi Nicolai; Guang-Yu Yang; Reed A Omary; Andrew C Larson
Journal:  Magn Reson Med       Date:  2011-12-28       Impact factor: 4.668

Review 8.  Autoimmune pancreatitis: Multimodality non-invasive imaging diagnosis.

Authors:  Stefano Crosara; Mirko D'Onofrio; Riccardo De Robertis; Emanuele Demozzi; Stefano Canestrini; Giulia Zamboni; Roberto Pozzi Mucelli
Journal:  World J Gastroenterol       Date:  2014-12-07       Impact factor: 5.742

9.  An acetone-based phantom for quantitative diffusion MRI.

Authors:  Xiaoke Wang; Scott B Reeder; Diego Hernando
Journal:  J Magn Reson Imaging       Date:  2017-04-22       Impact factor: 4.813

Review 10.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

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