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Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues
Micro–computed tomography (μCT) has become essential for analysis of mineralized as well as nonmineralized tissues and is therefore widely applicable in the life sciences. However, lack of standardized approaches and protocols for scanning, analyzing, and reporting data often makes it difficult to u...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990153/ https://www.ncbi.nlm.nih.gov/pubmed/33778330 http://dx.doi.org/10.1002/jbm4.10474 |
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author | Chavez, Michael B Chu, Emily Y Kram, Vardit de Castro, Luis F Somerman, Martha J Foster, Brian L |
author_facet | Chavez, Michael B Chu, Emily Y Kram, Vardit de Castro, Luis F Somerman, Martha J Foster, Brian L |
author_sort | Chavez, Michael B |
collection | PubMed |
description | Micro–computed tomography (μCT) has become essential for analysis of mineralized as well as nonmineralized tissues and is therefore widely applicable in the life sciences. However, lack of standardized approaches and protocols for scanning, analyzing, and reporting data often makes it difficult to understand exactly how analyses were performed, how to interpret results, and if findings can be broadly compared with other models and studies. This problem is compounded in analysis of the dentoalveolar complex by the presence of four distinct mineralized tissues: enamel, dentin, cementum, and alveolar bone. Furthermore, these hard tissues interface with adjacent soft tissues, the dental pulp and periodontal ligament (PDL), making for a complex organ. Drawing on others' and our own experience analyzing rodent dentoalveolar tissues by μCT, we introduce techniques to successfully analyze dentoalveolar tissues with similar or disparate compositions, densities, and morphological characteristics. Our goal is to provide practical guidelines for μCT analysis of rodent dentoalveolar tissues, including approaches to optimize scan parameters (filters, voltage, voxel size, and integration time), reproducibly orient samples, define regions and volumes of interest, segment and subdivide tissues, interpret findings, and report methods and results. We include illustrative examples of analyses performed on genetically engineered mouse models with phenotypes in enamel, dentin, cementum, and alveolar bone. The recommendations are designed to increase transparency and reproducibility, promote best practices, and provide a basic framework to apply μCT analysis to the dentoalveolar complex that can also be extrapolated to a variety of other tissues of the body. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research. |
format | Online Article Text |
id | pubmed-7990153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79901532021-03-25 Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues Chavez, Michael B Chu, Emily Y Kram, Vardit de Castro, Luis F Somerman, Martha J Foster, Brian L JBMR Plus Review Micro–computed tomography (μCT) has become essential for analysis of mineralized as well as nonmineralized tissues and is therefore widely applicable in the life sciences. However, lack of standardized approaches and protocols for scanning, analyzing, and reporting data often makes it difficult to understand exactly how analyses were performed, how to interpret results, and if findings can be broadly compared with other models and studies. This problem is compounded in analysis of the dentoalveolar complex by the presence of four distinct mineralized tissues: enamel, dentin, cementum, and alveolar bone. Furthermore, these hard tissues interface with adjacent soft tissues, the dental pulp and periodontal ligament (PDL), making for a complex organ. Drawing on others' and our own experience analyzing rodent dentoalveolar tissues by μCT, we introduce techniques to successfully analyze dentoalveolar tissues with similar or disparate compositions, densities, and morphological characteristics. Our goal is to provide practical guidelines for μCT analysis of rodent dentoalveolar tissues, including approaches to optimize scan parameters (filters, voltage, voxel size, and integration time), reproducibly orient samples, define regions and volumes of interest, segment and subdivide tissues, interpret findings, and report methods and results. We include illustrative examples of analyses performed on genetically engineered mouse models with phenotypes in enamel, dentin, cementum, and alveolar bone. The recommendations are designed to increase transparency and reproducibility, promote best practices, and provide a basic framework to apply μCT analysis to the dentoalveolar complex that can also be extrapolated to a variety of other tissues of the body. © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research. John Wiley & Sons, Inc. 2021-03-03 /pmc/articles/PMC7990153/ /pubmed/33778330 http://dx.doi.org/10.1002/jbm4.10474 Text en © 2021 The Authors. JBMR Plus published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Chavez, Michael B Chu, Emily Y Kram, Vardit de Castro, Luis F Somerman, Martha J Foster, Brian L Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title | Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title_full | Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title_fullStr | Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title_full_unstemmed | Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title_short | Guidelines for Micro–Computed Tomography Analysis of Rodent Dentoalveolar Tissues |
title_sort | guidelines for micro–computed tomography analysis of rodent dentoalveolar tissues |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990153/ https://www.ncbi.nlm.nih.gov/pubmed/33778330 http://dx.doi.org/10.1002/jbm4.10474 |
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