Literature DB >> 26176427

The Correlation Between Diffusion-Weighted Imaging at 3.0-T Magnetic Resonance Imaging and Histopathology for Pancreatic Ductal Adenocarcinoma.

Ping Xie1, Kefu Liu, Weijun Peng, Zhengrong Zhou.   

Abstract

PURPOSE: The aim of this study was to discuss the correlation between diffusion-weighted imaging (DWI) at 3.0-T magnetic resonance and histopathology for pancreatic ductal adenocarcinoma (PDA).
MATERIALS AND METHODS: Twenty-eight patients with histopathologically proven PDA were included in this study after 108 cases of suspected pancreatic tumors had been performed with DWI. The sequences of DWI included respiratory-triggered DWI and breath-hold DWI, which were performed with 2 b values (0 and 500 s/mm; 0 and 1000 s/mm), respectively. According to magnetic resonance images, wax blocks and slices were selected and stained with hematoxylin-eosin for anti-vascular endothelial growth factor (VEGF), anti-CD34, and anti-Ki-67 (Mib-1). The relationship between tumor apparent diffusion coefficient (ADC) and tumor fibrosis, as well as the expression of tumor VEGF, Ki-67, and multivessel density (MVD), were studied.
RESULTS: The ADC values of PDA of different grades of differentiation and fibrosis grade did not show statistically significant difference. The ADC values of PDA did not show the statistically significant correlation with the grades of differentiation, fibrosis grade, Ki-67 expression, and expression of VEGF and MVD.
CONCLUSIONS: The ADC of PDA cannot be used to reflect grades of differentiation, degree of tumor fibrosis, the expression of VEGF, the expression of Ki-67, and the tumor MVD.

Entities:  

Mesh:

Year:  2015        PMID: 26176427     DOI: 10.1097/RCT.0000000000000274

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


  4 in total

Review 1.  Implementing diffusion-weighted MRI for body imaging in prospective multicentre trials: current considerations and future perspectives.

Authors:  N M deSouza; J M Winfield; J C Waterton; A Weller; M-V Papoutsaki; S J Doran; D J Collins; L Fournier; D Sullivan; T Chenevert; A Jackson; M Boss; S Trattnig; Y Liu
Journal:  Eur Radiol       Date:  2017-09-27       Impact factor: 5.315

2.  Associations between apparent diffusion coefficient (ADC) and KI 67 in different tumors: a meta-analysis. Part 1: ADCmean.

Authors:  Alexey Surov; Hans Jonas Meyer; Andreas Wienke
Journal:  Oncotarget       Date:  2017-08-24

3.  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

4.  Evaluating the Histopathology of Pancreatic Ductal Adenocarcinoma by Intravoxel Incoherent Motion-Diffusion Weighted Imaging Comparing With Diffusion-Weighted Imaging.

Authors:  Qi Liu; Jinggang Zhang; Man Jiang; Yue Zhang; Tongbing Chen; Jilei Zhang; Bei Li; Jie Chen; Wei Xing
Journal:  Front Oncol       Date:  2021-06-23       Impact factor: 6.244

  4 in total

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