Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease

The advent of micro-computed tomography (microCT) has provided significant advancement in our ability to generate clinically relevant assessments of lung health and disease in small animal models. As microCT use to generate outcomes analysis in pulmonary preclinical models has increased there have b...

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Autores principales: Redente, Elizabeth F., Kopf, Katrina W., Bahadur, Ali N., Robichaud, Annette, Lundblad, Lennart K., McDonald, Lindsay T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910664/
https://www.ncbi.nlm.nih.gov/pubmed/36757935
http://dx.doi.org/10.1371/journal.pone.0281452
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author Redente, Elizabeth F.
Kopf, Katrina W.
Bahadur, Ali N.
Robichaud, Annette
Lundblad, Lennart K.
McDonald, Lindsay T.
author_facet Redente, Elizabeth F.
Kopf, Katrina W.
Bahadur, Ali N.
Robichaud, Annette
Lundblad, Lennart K.
McDonald, Lindsay T.
author_sort Redente, Elizabeth F.
collection PubMed
description The advent of micro-computed tomography (microCT) has provided significant advancement in our ability to generate clinically relevant assessments of lung health and disease in small animal models. As microCT use to generate outcomes analysis in pulmonary preclinical models has increased there have been substantial improvements in image quality and resolution, and data analysis software. However, there are limited published methods for standardized imaging and automated analysis available for investigators. Manual quantitative analysis of microCT images is complicated by the presence of inflammation and parenchymal disease. To improve the efficiency and limit user-associated bias, we have developed an automated pulmonary air and tissue segmentation (PATS) task list to segment lung air volume and lung tissue volume for quantitative analysis. We demonstrate the effective use of the PATS task list using four distinct methods for imaging, 1) in vivo respiration controlled scanning using a flexiVent, 2) longitudinal breath-gated in vivo scanning in resolving and non-resolving pulmonary disease initiated by lipopolysaccharide-, bleomycin-, and silica-exposure, 3) post-mortem imaging, and 4) ex vivo high-resolution scanning. The accuracy of the PATS task list was compared to manual segmentation. The use of these imaging techniques and automated quantification methodology across multiple models of lung injury and fibrosis demonstrates the broad applicability and adaptability of microCT to various lung diseases and small animal models and presents a significant advance in efficiency and standardization of preclinical microCT imaging and analysis for the field of pulmonary research.
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spelling pubmed-99106642023-02-10 Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease Redente, Elizabeth F. Kopf, Katrina W. Bahadur, Ali N. Robichaud, Annette Lundblad, Lennart K. McDonald, Lindsay T. PLoS One Research Article The advent of micro-computed tomography (microCT) has provided significant advancement in our ability to generate clinically relevant assessments of lung health and disease in small animal models. As microCT use to generate outcomes analysis in pulmonary preclinical models has increased there have been substantial improvements in image quality and resolution, and data analysis software. However, there are limited published methods for standardized imaging and automated analysis available for investigators. Manual quantitative analysis of microCT images is complicated by the presence of inflammation and parenchymal disease. To improve the efficiency and limit user-associated bias, we have developed an automated pulmonary air and tissue segmentation (PATS) task list to segment lung air volume and lung tissue volume for quantitative analysis. We demonstrate the effective use of the PATS task list using four distinct methods for imaging, 1) in vivo respiration controlled scanning using a flexiVent, 2) longitudinal breath-gated in vivo scanning in resolving and non-resolving pulmonary disease initiated by lipopolysaccharide-, bleomycin-, and silica-exposure, 3) post-mortem imaging, and 4) ex vivo high-resolution scanning. The accuracy of the PATS task list was compared to manual segmentation. The use of these imaging techniques and automated quantification methodology across multiple models of lung injury and fibrosis demonstrates the broad applicability and adaptability of microCT to various lung diseases and small animal models and presents a significant advance in efficiency and standardization of preclinical microCT imaging and analysis for the field of pulmonary research. Public Library of Science 2023-02-09 /pmc/articles/PMC9910664/ /pubmed/36757935 http://dx.doi.org/10.1371/journal.pone.0281452 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Redente, Elizabeth F.
Kopf, Katrina W.
Bahadur, Ali N.
Robichaud, Annette
Lundblad, Lennart K.
McDonald, Lindsay T.
Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title_full Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title_fullStr Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title_full_unstemmed Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title_short Application-specific approaches to MicroCT for evaluation of mouse models of pulmonary disease
title_sort application-specific approaches to microct for evaluation of mouse models of pulmonary disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9910664/
https://www.ncbi.nlm.nih.gov/pubmed/36757935
http://dx.doi.org/10.1371/journal.pone.0281452
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