National Research Council of Italy - Institute of Clinical Physiology, Lecce, Italy.
Echolight S.p.A. - R&D Department, Lecce, Italy.
Adv Exp Med Biol. 2022;1364:145-162. doi: 10.1007/978-3-030-91979-5_7.
The aim of this chapter is to review the available pulse-echo approaches for the quantitative evaluation of bone health status, with a specific application to the assessment of possible osteoporosis presence and to the fracture risk prediction. Along with a review of the main in-vivo imaging approaches for skeletal robustness evaluation and fracture risk assessment, further understanding into Radiofrequency Echographic Multi Spectrometry (REMS), an ultrasound-based method measuring clinically relevant bone districts (i.e. lumbar vertebrae and proximal femur), is provided, and the further potentialities of this technology are discussed.Currently, the bone mineral density (BMD) provided by dual X-ray absorptiometry (DXA) is considered an established indicator for osteoporosis status assessment and fracture risk prediction, however, in order to obtain more accurate results, an additional step beyond BMD would be necessary, which means including data on bone quality for an improved evaluation of the disease and its consequences.REMS is a technology which allows both osteoporosis diagnosis, through the BMD estimation, and the prediction of fracture risk, through the computation of the Fragility Score; both measures are obtained by the automatic processing of unfiltered ultrasound signals acquired in correspondence of anatomical reference sites.
本章旨在回顾可用于定量评估骨骼健康状况的脉冲回波方法,特别应用于评估可能存在的骨质疏松症和预测骨折风险。除了对骨骼健壮性评估和骨折风险评估的主要体内成像方法进行回顾外,还提供了对基于超声的射频超声多谱技术(REMS)的进一步了解,该技术可测量临床相关的骨骼区域(即腰椎和股骨近端),并讨论了该技术的进一步潜力。目前,双能 X 线吸收法(DXA)提供的骨矿物质密度(BMD)被认为是评估骨质疏松症状态和预测骨折风险的既定指标,但是,为了获得更准确的结果,除了 BMD 之外还需要进行额外的步骤,这意味着需要包括骨质量数据,以改善对疾病及其后果的评估。REMS 是一种技术,可通过 BMD 估计进行骨质疏松症诊断,并通过计算易碎性评分来预测骨折风险;这两种测量方法都是通过对在解剖参考部位获得的未经滤波的超声信号进行自动处理来获得的。