Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model

Emily Hammond; John D Newell Jr; Samantha K N Dilger; Nicholas Stoyles; John Morgan; Jered P Sieren; Daniel R Thedens; Eric A Hoffman; David K Meyerholz; Jessica C Sieren

doi:10.1177/0192623315622303

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Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model

Journal article

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Peer reviewed

Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model

Emily Hammond, John D Newell Jr, Samantha K N Dilger, Nicholas Stoyles, John Morgan, Jered P Sieren, Daniel R Thedens, Eric A Hoffman, David K Meyerholz and Jessica C Sieren

Toxicologic pathology, Vol.44(3), pp.373-381

04/2016

DOI: 10.1177/0192623315622303

PMCID: PMC4805498

PMID: 26839326

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https://doi.org/10.1177/0192623315622303View

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Abstract

Medical imaging is a rapidly advancing field enabling the repeated, noninvasive assessment of physiological structure and function. These beneficial characteristics can supplement studies in swine by mirroring the clinical functions of detection, diagnosis, and monitoring in humans. In addition, swine may serve as a human surrogate, facilitating the development and comparison of new imaging protocols for translation to humans. This study presents methods for pulmonary imaging developed for monitoring pulmonary disease initiation and progression in a pig exposure model with computed tomography and magnetic resonance imaging. In particular, a focus was placed on systematic processes, including positioning, image acquisition, and structured reporting to monitor longitudinal change. The image-based monitoring procedure was applied to 6 Yucatan miniature pigs. A subset of animals (n= 3) were injected with crystalline silica into the apical bronchial tree to induce silicosis. The methodology provided longitudinal monitoring and evidence of progressive lung disease while simultaneously allowing for a cross-modality comparative study highlighting the practical application of medical image data collection in swine. The integration of multimodality imaging with structured reporting allows for cross comparison of modalities, refinement of CT and MRI protocols, and consistently monitors potential areas of interest for guided biopsy and/or necropsy.

Lung - pathology

Magnetic Resonance Imaging - methods

Tomography, X-Ray Computed - methods

Lung - diagnostic imaging

Silicosis - diagnostic imaging

Animals

Swine

Histocytochemistry

Swine, Miniature

Biomedical Research

Female

Silicosis - pathology

Disease Models, Animal

Details

Title: Subtitle: Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model
Creators: Emily Hammond - Department of Radiology, University of Iowa, Iowa City, Iowa, USA Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
John D Newell Jr - Department of Radiology, University of Iowa, Iowa City, Iowa, USA Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
Samantha K N Dilger - Department of Radiology, University of Iowa, Iowa City, Iowa, USA Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
Nicholas Stoyles - Department of Radiology, University of Iowa, Iowa City, Iowa, USA
John Morgan - Department of Radiology, University of Iowa, Iowa City, Iowa, USA
Jered P Sieren - Department of Radiology, University of Iowa, Iowa City, Iowa, USA
Daniel R Thedens - Department of Radiology, University of Iowa, Iowa City, Iowa, USA
Eric A Hoffman - Department of Radiology, University of Iowa, Iowa City, Iowa, USA Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA
David K Meyerholz - Department of Pathology, University of Iowa, Iowa City, Iowa, USA
Jessica C Sieren - Department of Radiology, University of Iowa, Iowa City, Iowa, USA Department of Biomedical Engineering, University of Iowa, Iowa City, Iowa, USA jessica-sieren@uiowa.edu
Resource Type: Journal article
Publication Details: Toxicologic pathology, Vol.44(3), pp.373-381
Publisher: United States
DOI: 10.1177/0192623315622303
PMID: 26839326
PMCID: PMC4805498
ISSN: 0192-6233
eISSN: 1533-1601
Grant note: P30 ES005605 / NIEHS NIH HHS S10 OD018526 / NIH HHS R01HL112986 / NHLBI NIH HHS P30ES005605 / NIEHS NIH HHS UL1 TR000442 / NCATS NIH HHS R01 HL112986 / NHLBI NIH HHS P30 DK054759 / NIDDK NIH HHS P30 CA086862 / NCI NIH HHS
Language: English
Date published: 04/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Pathology; Internal Medicine
Record Identifier: 9984051582302771

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