Literature DB >> 27224231

Apparent Diffusion Coefficient and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Pancreatic Cancer: Characteristics and Correlation With Histopathologic Parameters.

Wanling Ma1, Na Li, Weiwei Zhao, Jing Ren, Mengqi Wei, Yong Yang, Yingmei Wang, Xin Fu, Zhuoli Zhang, Andrew C Larson, Yi Huan.   

Abstract

OBJECTIVE: To clarify diffusion and perfusion abnormalities and evaluate correlation between apparent diffusion coefficient (ADC), MR perfusion and histopathologic parameters of pancreatic cancer (PC).
METHODS: Eighteen patients with PC underwent diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). Parameters of DCE-MRI and ADC of cancer and non-cancerous tissue were compared. Correlation between the rate constant that represents transfer of contrast agent from the arterial blood into the extravascular extracellular space (K, volume of the extravascular extracellular space per unit volume of tissue (Ve), and ADC of PC and histopathologic parameters were analyzed.
RESULTS: The rate constant that represents transfer of contrast agent from the extravascular extracellular space into blood plasma, K, tissue volume fraction occupied by vascular space, and ADC of PC were significantly lower than nontumoral pancreases. Ve of PC was significantly higher than that of nontumoral pancreas. Apparent diffusion coefficient and K values of PC were negatively correlated to fibrosis content and fibroblast activation protein staining score. Fibrosis content was positively correlated to Ve.
CONCLUSION: Apparent diffusion coefficient values and parameters of DCE-MRI can differentiate PC from nontumoral pancreases. There are correlations between ADC, K, Ve, and fibrosis content of PC. Fibroblast activation protein staining score of PC is negatively correlated to ADC and K. Apparent diffusion coefficient, K, and Ve may be feasible to predict prognosis of PC.

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Year:  2016        PMID: 27224231     DOI: 10.1097/RCT.0000000000000434

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  9 in total

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Authors:  Jianbo Cao; Stephen Pickup; Cynthia Clendenin; Barbara Blouw; Hoon Choi; David Kang; Mark Rosen; Peter J O'Dwyer; Rong Zhou
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Review 2.  Quantitative pancreatic MRI: a pathology-based review.

Authors:  Manil D Chouhan; Louisa Firmin; Samantha Read; Zahir Amin; Stuart A Taylor
Journal:  Br J Radiol       Date:  2019-06-14       Impact factor: 3.039

3.  Multiparametric PET/MR imaging biomarkers are associated with overall survival in patients with pancreatic cancer.

Authors:  Bang-Bin Chen; Yu-Wen Tien; Ming-Chu Chang; Mei-Fang Cheng; Yu-Ting Chang; Shih-Hung Yang; Chih-Horng Wu; Ting-Chun Kuo; I-Lun Shih; Ruoh-Fang Yen; Tiffany Ting-Fang Shih
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-02-23       Impact factor: 9.236

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Journal:  PLoS One       Date:  2019-04-29       Impact factor: 3.240

5.  Preoperative Multiparametric Quantitative Magnetic Resonance Imaging Correlates with Prognosis and Recurrence Patterns in Pancreatic Ductal Adenocarcinoma.

Authors:  Chao Qu; Piaoe Zeng; Hangyan Wang; Limei Guo; Lingfu Zhang; Chunhui Yuan; Huishu Yuan; Dianrong Xiu
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6.  Pre-treatment DWI as a predictor of overall survival in locally advanced pancreatic cancer treated with Cyberknife radiotherapy and sequential S-1 therapy.

Authors:  Yu Zhang; Xiaofei Zhu; Denghui Liu; Jiaqi Song; Huojun Zhang; Jianping Lu
Journal:  Cancer Imaging       Date:  2018-02-22       Impact factor: 3.909

7.  Tumor heterogeneity of pancreas head cancer assessed by CT texture analysis: association with survival outcomes after curative resection.

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Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

8.  Pathological validation and prognostic potential of quantitative MRI in the characterization of pancreas cancer: preliminary experience.

Authors:  Remy Klaassen; Anne Steins; Oliver J Gurney-Champion; Maarten F Bijlsma; Geertjan van Tienhoven; Marc R W Engelbrecht; Casper H J van Eijck; Mustafa Suker; Johanna W Wilmink; Marc G Besselink; Olivier R Busch; Onno J de Boer; Marc J van de Vijver; Gerrit K J Hooijer; Joanne Verheij; Jaap Stoker; Aart J Nederveen; Hanneke W M van Laarhoven
Journal:  Mol Oncol       Date:  2020-06-23       Impact factor: 6.603

9.  Prediction of tumour grade and survival outcome using pre-treatment PET- and MRI-derived imaging features in patients with resectable pancreatic ductal adenocarcinoma.

Authors:  Vincent Dunet; Nermin Halkic; Christine Sempoux; Nicolas Demartines; Michael Montemurro; John O Prior; Sabine Schmidt
Journal:  Eur Radiol       Date:  2020-08-26       Impact factor: 5.315

  9 in total

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