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Micro-computed tomography is a critical assessment tool for bone-related preclinical research, especially in murine models. To expedite the scanning process, researchers often image multiple bones simultaneously; however, it is unknown if this impacts scan quality and alters the ability to detect differences between experimental groups. The purpose of this study was to assess the effect of multibone scanning on detecting disease-induced changes in bone microarchitecture and mineral density by group scanning two murine models with known skeletal defects: the model of osteogenesis imperfecta and an adenine-induced model of chronic kidney disease.

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