首页> 外文期刊>Magnetic resonance in medicine: official journal of the Society of Magnetic Resonance in Medicine >Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images.
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Geodesic topological analysis of trabecular bone microarchitecture from high-spatial resolution magnetic resonance images.

机译:从高空间分辨率磁共振图像对小梁骨微体系结构进行测地拓扑分析。

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摘要

In vivo assessment of trabecular bone microarchitecture could improve the prediction of fracture risk and the efficacy of osteoporosis treatment and prevention. Geodesic topological analysis (GTA) is introduced as a novel technique to quantify the trabecular bone microarchitecture from high-spatial resolution magnetic resonance (MR) images. Trabecular bone parameters that quantify the scale, topology, and anisotropy of the trabecular bone network in terms of its junctions are the result of GTA. The reproducibility of GTA was tested with in vivo images of human distal tibiae and radii (n = 6) at 1.5 Tesla; and its ability to discriminate between subjects with and without vertebral fracture was assessed with ex vivo images of human calcanei at 1.5 and 3.0 Tesla (n = 30). GTA parameters yielded an average reproducibility of 4.8%, and their individual areas under the curve (AUC) of the receiver operating characteristic curve analysis for fracture discrimination performed better at 3.0 than at 1.5 Tesla reaching values of up to 0.78 (p < 0.001). Logistic regression analysis demonstrated that fracture discrimination was improved by combining GTA parameters, and that GTA combined with bone mineral density (BMD) allow for better discrimination than BMD alone (AUC = 0.95; p < 0.001). Results indicate that GTA can substantially contribute in studies of osteoporosis involving imaging of the trabecular bone microarchitecture.
机译:骨小梁骨微结构的体内评估可以改善骨折风险的预测以及骨质疏松症的治疗和预防功效。测地拓扑分析(GTA)作为一种新技术被引入,可以从高空间分辨率磁共振(MR)图像中量化小梁骨的微结构。 GTA的结果是,根据骨小梁的连接点来量化骨小梁网络的规模,拓扑和各向异性的骨小梁参数。用1.5特斯拉的人胫骨远端和半径(n = 6)的体内图像测试了GTA的可重复性;并使用离体图在1.5和3.0 Tesla(n = 30)下的人钙皮评估了其区分是否患有椎体骨折的能力。 GTA参数产生了4.8%的平均重现性,并且在接收器工作特性曲线分析的曲线下的单个区域(用于断裂识别)在3.0下比在1.5 Tesla时的性能更好,达到0.78(p <0.001)。 Logistic回归分析表明,结合GTA参数可以改善骨折的辨别力,并且GTA与骨密度(BMD)的结合比单独使用BMD的辨别力更好(AUC = 0.95; p <0.001)。结果表明,GTA可以在涉及骨小梁骨微结构成像的骨质疏松研究中发挥重要作用。

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