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

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

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 trans), volume of the extravascular extracellular space per unit volume of tissue (V e), 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 trans, tissue volume fraction occupied by vascular space, and ADC of PC were significantly lower than nontumoral pancreases. V e of PC was significantly higher than that of nontumoral pancreas. Apparent diffusion coefficient and K trans values of PC were negatively correlated to fibrosis content and fibroblast activation protein staining score. Fibrosis content was positively correlated to V e. Conclusion Apparent diffusion coefficient values and parameters of DCE-MRI can differentiate PC from nontumoral pancreases. There are correlations between ADC, K trans, V e, and fibrosis content of PC. Fibroblast activation protein staining score of PC is negatively correlated to ADC and K trans. Apparent diffusion coefficient, K trans, and V e may be feasible to predict prognosis of PC.

Original languageEnglish (US)
Pages (from-to)709-716
Number of pages8
JournalJournal of Computer Assisted Tomography
Volume40
Issue number5
DOIs
StatePublished - Sep 1 2016

Keywords

  • ADC
  • DCE-MRI
  • DWI
  • fibrosis content
  • pancreatic cancer

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Apparent Diffusion Coefficient and Dynamic Contrast-Enhanced Magnetic Resonance Imaging in Pancreatic Cancer: Characteristics and Correlation with Histopathologic Parameters'. Together they form a unique fingerprint.

Cite this