Chavez Michael B, Chu Emily Y, Kram Vardit, de Castro Luis F, Somerman Martha J, Foster Brian L
Division of Biosciences, College of Dentistry The Ohio State University Columbus OH USA.
National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS) National Institutes of Health (NIH) Bethesda MD USA.
JBMR Plus. 2021 Mar 3;5(3):e10474. doi: 10.1002/jbm4.10474. eCollection 2021 Mar.
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. published by Wiley Periodicals LLC. on behalf of American Society for Bone and Mineral Research.
微计算机断层扫描(μCT)已成为分析矿化组织和非矿化组织的重要手段,因此在生命科学中得到广泛应用。然而,缺乏用于扫描、分析和报告数据的标准化方法和方案,常常使得人们难以确切了解分析是如何进行的、如何解释结果,以及研究结果是否能与其他模型和研究进行广泛比较。在牙牙槽复合体的分析中,由于存在四种不同的矿化组织:牙釉质、牙本质、牙骨质和牙槽骨,这个问题变得更加复杂。此外,这些硬组织与相邻的软组织——牙髓和牙周韧带(PDL)相互连接,形成了一个复杂的器官。借鉴他人以及我们自己通过μCT分析啮齿动物牙牙槽组织的经验,我们介绍了一些技术,以成功分析具有相似或不同组成、密度和形态特征的牙牙槽组织。我们的目标是为啮齿动物牙牙槽组织的μCT分析提供实用指南,包括优化扫描参数(滤波器、电压、体素大小和积分时间)的方法、可重复地定位样本、定义感兴趣区域和体积、分割和细分组织、解释结果以及报告方法和结果。我们还提供了对具有牙釉质、牙本质、牙骨质和牙槽骨表型的基因工程小鼠模型进行分析的示例。这些建议旨在提高透明度和可重复性,推广最佳实践,并提供一个基本框架,将μCT分析应用于牙牙槽复合体,该框架也可外推至身体的各种其他组织。© 2021作者。由Wiley Periodicals LLC代表美国骨与矿物质研究学会出版。