Clinical Use of Trabecular Bone Score: The 2023 ISCD Official Positions

骨小梁评分 弗雷克斯 医学 骨矿物 骨质疏松症 腰椎 密度测定 危险分层 物理疗法 放射科 骨质疏松性骨折 定量计算机断层扫描 内科学
作者
Heenam Goel,Neil Binkley,Miranda K. Boggild,Wing P. Chan,William D. Leslie,Eugène McCloskey,Sarah Morgan,Barbara C. Silva,Angela M. Cheung
出处
期刊:Journal of Clinical Densitometry [Elsevier BV]
卷期号:27 (1): 101452-101452 被引量:35
标识
DOI:10.1016/j.jocd.2023.101452
摘要

Osteoporosis can currently be diagnosed by applying the WHO classification to bone mineral density (BMD) assessed by dual-energy x-ray absorptiometry (DXA). However, skeletal factors other than BMD contribute to bone strength and fracture risk. Lumbar spine TBS, a grey-level texture measure which is derived from DXA images has been extensively studied, enhances fracture prediction independent of BMD and can be used to adjust fracture probability from FRAX® to improve risk stratification. The purpose of this International Society for Clinical Densitometry task force was to review the existing evidence and develop recommendations to assist clinicians regarding when and how to perform, report and utilize TBS. Our review concluded that TBS is most likely to alter clinical management in patients aged ≥ 40 years who are close to the pharmacologic intervention threshold by FRAX. The TBS value from L1-L4 vertebral levels, without vertebral exclusions, should be used to calculate adjusted FRAX probabilities. L1-L4 vertebral levels can be used in the presence of degenerative changes and lumbar compression fractures. It is recommended not to report TBS if extreme structural or pathological artifacts are present. Monitoring and reporting TBS change is unlikely to be helpful with the current version of the TBS algorithm. The next version of TBS software will include an adjustment based upon directly measured tissue thickness. This is expected to improve performance and address some of the technical factors that affect the current algorithm which may require modifications to these Official Positions as experience is acquired with this new algorithm.
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