Article

Visualization of mouse pancreas architecture using MR microscopy.

Department of Surgery, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611, USA.
American Journal Of Pathology (impact factor: 4.89). 05/2011; 179(2):610-8. DOI:10.1016/j.ajpath.2011.04.007
Source: PubMed

ABSTRACT Pancreatic diseases, which include diabetes, pancreatitis, and pancreatic cancer, are often difficult to detect and/or stage, contributing to a reduced quality of life and lifespan for patients. Thus, there is need for a technology that can visualize tissue changes in the pancreas, improve understanding of disease progression, and facilitate earlier detection in the human population. Because of low spatial resolution, current clinical magnetic resonance imaging (MRI) at low field strength has yet to fully visualize the exocrine, endocrine, vascular, and stromal components of the pancreas. We used high field strength magnetic resonance microscopy (μMRI) to image mouse pancreas ex vivo without contrast agents at high spatial resolution. We analyzed the resulting high-resolution images using volume rendering to resolve components in the pancreas, including acini, islets, blood vessels, and extracellular matrix. Locations and dimensions of pancreatic components as seen in three-dimensional μMRI were compared with histological images, and good correspondence was found. Future longitudinal studies could expand on the use of in vivo μMRI in mouse models of pancreatic diseases. Capturing three-dimensional structural changes through μMRI could help to identify early cellular and tissue changes associated with pancreatic disease, serving as a mode of improved detection in the clinic for endocrine and exocrine pathologies.

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Keywords

blood vessels
 
Capturing three-dimensional structural changes
 
current clinical magnetic resonance imaging
 
disease progression
 
exocrine pathologies
 
field strength magnetic resonance microscopy
 
good correspondence
 
human population
 
image mouse pancreas ex vivo
 
low spatial resolution
 
mouse models
 
pancreatic components
 
pancreatic disease
 
pancreatic diseases
 
reduced quality
 
resulting high-resolution images
 
spatial resolution
 
stromal components
 
three-dimensional μMRI
 
vivo μMRI