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啮齿动物外周定量计算机断层扫描骨测量

Bone Measurements by Peripheral Quantitative Computed Tomography in Rodents.

作者信息

Gasser Jürg Andreas, Willnecker Johannes

机构信息

Department of Musculoskeletal Diseases, Novartis Institutes for BioMedical Research, Basel, Switzerland.

Stratec Medizintechnik GmbH, Pforzheim, Germany.

出版信息

Methods Mol Biol. 2019;1914:533-558. doi: 10.1007/978-1-4939-8997-3_29.

DOI:10.1007/978-1-4939-8997-3_29
PMID:30729485
Abstract

This chapter provides information for the in vivo use of peripheral quantitative computed tomography in rats and mice to determine bone density and cortical geometric data, including suggestions for study design, instrument setting, and data interpretation. This update also provides guidance for the use of pQCT to extract muscle and fat cross-sectional area information from the bone scans.

摘要

本章提供了关于在大鼠和小鼠体内使用外周定量计算机断层扫描来测定骨密度和皮质骨几何数据的信息,包括研究设计、仪器设置和数据解读的建议。本次更新还提供了使用外周定量计算机断层扫描从骨扫描中提取肌肉和脂肪横截面积信息的指导。

相似文献

1
Bone Measurements by Peripheral Quantitative Computed Tomography in Rodents.啮齿动物外周定量计算机断层扫描骨测量
Methods Mol Biol. 2019;1914:533-558. doi: 10.1007/978-1-4939-8997-3_29.
2
An Algorithm for Automated Separation of Trabecular Bone From Variably Thick Cortices in High-Resolution Computed Tomography Data.一种从高分辨率计算机断层扫描数据中自动分离可变厚度皮质骨的算法。
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Age- and Sex-Related Changes in Bone Microarchitecture and Estimated Strength: A Three-Year Prospective Study Using HRpQCT.骨微结构和估计强度的年龄及性别相关变化:一项使用高分辨率外周定量CT的三年前瞻性研究
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Multiscale and multimodality computed tomography for cortical bone analysis.用于皮质骨分析的多尺度和多模态计算机断层扫描
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Bone measurements by peripheral quantitative computed tomography in rodents.通过外周定量计算机断层扫描对啮齿动物进行骨测量。
Methods Mol Biol. 2012;816:477-98. doi: 10.1007/978-1-61779-415-5_28.
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Bioengineering (Basel). 2023 Mar 7;10(3):338. doi: 10.3390/bioengineering10030338.
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Bone Phenotyping Approaches in Human, Mice and Zebrafish - Expert Overview of the EU Cost Action GEMSTONE ("GEnomics of MusculoSkeletal traits TranslatiOnal NEtwork").人类、小鼠和斑马鱼中的骨骼表型分析方法——EU COST 行动 GEMSTONE(“肌肉骨骼特征转化遗传学网络”)专家综述。
Front Endocrinol (Lausanne). 2021 Dec 1;12:720728. doi: 10.3389/fendo.2021.720728. eCollection 2021.