A Contemporary View of the Diagnosis of Osteoporosis in Patients With Axial Spondyloarthritis

Frontiers in Medicine

article

Mie Jin Lim¹  Kwi Young Kang² 

[1] Division of Rheumatology, Department of Internal Medicine, College of Medicine, Inha University, Incheon;Division of Rheumatology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea;Division of Rheumatology, Department of Internal Medicine, College of Medicine, Incheon Saint Mary's Hospital, The Catholic University of Korea, Incheon

关键词: osteoporosis;    axial spondyloarthritis;    dual energy absorptiometry;    trabecular bone score (TBS);    quantitative computed tomography (QCT);   

DOI  :  10.3389/fmed.2020.569449

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Axial spondyloarthritis (axSpA) is a chronic inflammatory disease that primarily affects the axial joints. Altered bone metabolism associated with chronic inflammation leads to both new bone formation in the spine and increased bone loss. It is known that patients with axSpA have a high prevalence of osteoporosis and fractures. However, there is no consensus on which imaging modality is the most appropriate for diagnosing osteoporosis in axSpA. Bone mineral density measurement using dual-energy X-ray absorptiometry is the primary diagnostic method for osteoporosis, but it has notable limitations in patients with axSpA. This method may lead to the overestimation of bone density in patients with axSpA because they often exhibit abnormal calcification of spinal ligaments or syndesmophytes. Therefore, the method may not provide adequate information about bone microarchitecture. These limitations result in the underdiagnosis of osteoporosis. Recently, new imaging techniques, such as high-resolution peripheral quantitative computed tomography, and trabecular bone score have been introduced for the evaluation of osteoporosis risk in patients with axSpA. In this review, we summarize the current knowledge regarding imaging techniques for diagnosing osteoporosis in patients with axSpA.

【 授权许可】

CC BY