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Quantitative imaging techniques for the assessment of osteoporosis and sarcopenia

Authors :
Daniele Mercatelli
Maria Pilar Aparisi Gómez
Alessandro Napoli
Giuseppe Battista
Alberto Bazzocchi
Giuseppe Guglielmi
Sara Guerri
Guerri, Sara
Mercatelli, Daniele
Gómez, Maria Pilar Aparisi
Napoli, Alessandro
Battista, Giuseppe
Guglielmi, Giuseppe
Bazzocchi, Alberto
Source :
Quantitative Imaging in Medicine and Surgery. 8:60-85
Publication Year :
2018
Publisher :
AME Publishing Company, 2018.

Abstract

Bone and muscle are two deeply interconnected organs and a strong relationship between them exists in their development and maintenance. The peak of both bone and muscle mass is achieved in early adulthood, followed by a progressive decline after the age of 40. The increase in life expectancy in developed countries resulted in an increase of degenerative diseases affecting the musculoskeletal system. Osteoporosis and sarcopenia represent a major cause of morbidity and mortality in the elderly population and are associated with a significant increase in healthcare costs. Several imaging techniques are currently available for the non-invasive investigation of bone and muscle mass and quality. Conventional radiology, dual energy X-ray absorptiometry (DXA), computed tomography (CT), magnetic resonance imaging (MRI) and ultrasound often play a complementary role in the study of osteoporosis and sarcopenia, depicting different aspects of the same pathology. This paper presents the different imaging modalities currently used for the investigation of bone and muscle mass and quality in osteoporosis and sarcopenia with special emphasis on the clinical applications and limitations of each technique and with the intent to provide interesting insights into recent advances in the field of conventional imaging, novel high-resolution techniques and fracture risk.

Details

ISSN :
22234306 and 22234292
Volume :
8
Database :
OpenAIRE
Journal :
Quantitative Imaging in Medicine and Surgery
Accession number :
edsair.doi.dedup.....e82f01a90a2ce410fb6bc300d4f5177f
Full Text :
https://doi.org/10.21037/qims.2018.01.05