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X-ray-based quantitative osteoporosis imaging at the spine.

Authors :
Löffler MT
Sollmann N
Mei K
Valentinitsch A
Noël PB
Kirschke JS
Baum T
Source :
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA [Osteoporos Int] 2020 Feb; Vol. 31 (2), pp. 233-250. Date of Electronic Publication: 2019 Nov 14.
Publication Year :
2020

Abstract

Osteoporosis is a metabolic bone disease with a high prevalence that affects the population worldwide, particularly the elderly. It is often due to fractures associated with bone fragility that the diagnosis of osteoporosis becomes clinically evident. However, early diagnosis would be necessary to initiate therapy and to prevent occurrence of further fractures, thus reducing morbidity and mortality. X-ray-based imaging plays a key role for fracture risk assessment and monitoring of osteoporosis. Whereas over decades dual-energy X-ray absorptiometry (DXA) has been the main method used and still reflects the reference standard, another modality reemerges with quantitative computed tomography (QCT) because of its three-dimensional advantages and the opportunistic exploitation of routine CT scans. Against this background, this article intends to review and evaluate recent advances in the field of X-ray-based quantitative imaging of osteoporosis at the spine. First, standard DXA with the recent addition of trabecular bone score (TBS) is presented. Secondly, standard QCT, dual-energy BMD quantification, and opportunistic BMD screening in non-dedicated CT exams are discussed. Lastly, finite element analysis and microstructural parameter analysis are reviewed.

Details

Language :
English
ISSN :
1433-2965
Volume :
31
Issue :
2
Database :
MEDLINE
Journal :
Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA
Publication Type :
Academic Journal
Accession number :
31728606
Full Text :
https://doi.org/10.1007/s00198-019-05212-2