Literature DB >> 21683673

Visualization of mouse pancreas architecture using MR microscopy.

Paul J Grippo1, Palamadai N Venkatasubramanian, Richard H Knop, Daniel M Heiferman, Gheorghe Iordanescu, Laleh G Melstrom, Kevin Adrian, Morgan R Barron, David J Bentrem, Alice M Wyrwicz.   

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.
Copyright © 2011 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21683673      PMCID: PMC3157257          DOI: 10.1016/j.ajpath.2011.04.007

Source DB:  PubMed          Journal:  Am J Pathol        ISSN: 0002-9440            Impact factor:   4.307


  35 in total

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Journal:  Diabetologia       Date:  2009-11-22       Impact factor: 10.122

Review 3.  Histology of the exocrine pancreas.

Authors:  P M Motta; G Macchiarelli; S A Nottola; S Correr
Journal:  Microsc Res Tech       Date:  1997 Jun 1-15       Impact factor: 2.769

4.  Non-viral systemic delivery of Fas siRNA suppresses cyclophosphamide-induced diabetes in NOD mice.

Authors:  Ji Hoon Jeong; Sun Hwa Kim; Minhyung Lee; Won Jong Kim; Tae Gwan Park; Kyung Soo Ko; Sung Wan Kim
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5.  Magnetic resonance imaging monitors physiological changes with antihedgehog therapy in pancreatic adenocarcinoma xenograft model.

Authors:  Alexander R Guimaraes; Elena Rakhlin; Ralph Weissleder; Sarah P Thayer
Journal:  Pancreas       Date:  2008-11       Impact factor: 3.327

Review 6.  Mechanisms of Hedgehog pathway activation in cancer and implications for therapy.

Authors:  Suzie J Scales; Frederic J de Sauvage
Journal:  Trends Pharmacol Sci       Date:  2009-05-13       Impact factor: 14.819

7.  Noninvasive magnetic resonance imaging of microvascular changes in type 1 diabetes.

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8.  In vivo imaging of extracellular matrix remodeling by tumor-associated fibroblasts.

Authors:  Jean Y Perentes; Trevor D McKee; Carsten D Ley; Hannah Mathiew; Michelle Dawson; Timothy P Padera; Lance L Munn; Rakesh K Jain; Yves Boucher
Journal:  Nat Methods       Date:  2009-01-18       Impact factor: 28.547

9.  Inhibition of Hedgehog signaling enhances delivery of chemotherapy in a mouse model of pancreatic cancer.

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10.  Correlative dynamic contrast MRI and microscopic assessments of tumor vascularity in RIP-Tag2 transgenic mice.

Authors:  Barbara Sennino; Hans-Juergen Raatschen; Michael F Wendland; Yanjun Fu; Weon-Kyoo You; David M Shames; Donald M McDonald; Robert C Brasch
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  3 in total

Review 1.  Abnormalities of the Exocrine Pancreas in Type 1 Diabetes.

Authors:  Martha Campbell-Thompson; Teresa Rodriguez-Calvo; Manuela Battaglia
Journal:  Curr Diab Rep       Date:  2015-10       Impact factor: 4.810

2.  3D Virtual Pancreatography.

Authors:  Shreeraj Jadhav; Konstantin Dmitriev; Joseph Marino; Matthew Barish; Arie E Kaufman
Journal:  IEEE Trans Vis Comput Graph       Date:  2022-01-28       Impact factor: 4.579

3.  A non-invasive method of quantifying pancreatic volume in mice using micro-MRI.

Authors:  Jose L Paredes; Abrahim I Orabi; Taimur Ahmad; Iman Benbourenane; Kimimasa Tobita; Sameh Tadros; Kyongtae T Bae; Sohail Z Husain
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

  3 in total

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