Computed Tomography and Magnetic Resonance Imaging for Longitudinal Characterization of Lung Structure Changes in a Yucatan Miniature Pig Silicosis Model. (April 2016)

• Record Type: Journal Article
• Authors: Hammond, Emily; Newell, John D.; Dilger, Samantha K. N.; Stoyles, Nicholas; Morgan, John; Sieren, Jered P.; Thedens, Daniel R.; Hoffman, Eric A.; Meyerholz, David K.; Sieren, Jessica C.
• Other Names: Haschek Wanda M. guest-editor.; Monticello Thomas guest-editor.
• Is Part Of: Toxicologic pathology. Volume 44:Number 3(2016)
• Page Start: 373
• Page End: 381
• Publication Date: 2016-04
• Subjects: computed tomography (CT) -- magnetic resonance imaging (MRI) -- longitudinal imaging -- structured reporting -- pig models -- silicosis -- medical imaging; Pathology -- Periodicals; Toxicology -- Periodicals; Pathology; Toxicology; 615.9
• DOI: 10.1177/0192623315622303
• Languages: English
• ISSNs: 0192-6233

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.