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Fracture Discrimination by Combined Bone Mineral Density (BMD) and Microarchitectural Texture Analysis

机译:结合骨矿物质密度(BMD)和微结构纹理分析的骨折鉴别

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摘要

The use of bone mineral density (BMD) for fracture discrimination may be improved by considering bone microarchitecture. Texture parameters such as trabecular bone score (TBS) or mean Hurst parameter (H) could help to find women who are at high risk of fracture in the non-osteoporotic group. The purpose of this study was to combine BMD and microarchitectural texture parameters (spine TBS and calcaneus H) for the detection of osteoporotic fractures. Two hundred and fifty five women had a lumbar spine (LS), total hip (TH), and femoral neck (FN) DXA. Additionally, texture analyses were performed with TBS on spine DXA and with H on calcaneus radiographs. Seventy-nine women had prevalent fragility fractures. The association with fracture was evaluated by multivariate logistic regressions. The diagnostic value of each parameter alone and together was evaluated by odds ratios (OR). The area under curve (AUC) of the receiver operating characteristics (ROC) were assessed in models including BMD, H, and TBS. Women were also classified above and under the lowest tertile of H or TBS according to their BMD status. Women with prevalent fracture were older and had lower TBS, H, LS-BMD, and TH-BMD than women without fracture. Age-adjusted ORs were 1.66, 1.70, and 1.93 for LS, FN, and TH-BMD, respectively. Both TBS and H remained significantly associated with fracture after adjustment for age and TH-BMD: OR 2.07 [1.43; 3.05] and 1.47 [1.04; 2.11], respectively. The addition of texture parameters in the multivariate models didn't show a significant improvement of the ROC-AUC. However, women with normal or osteopenic BMD in the lowest range of TBS or H had significantly more fractures than women above the TBS or the H threshold. We have shown the potential interest of texture parameters such as TBS and H in addition to BMD to discriminate patients with or without osteoporotic fractures. However, their clinical added values should be evaluated relative to other risk factors.
机译:通过考虑骨微结构可以改善使用骨矿物质密度(BMD)进行骨折鉴别。诸如小梁骨评分(TBS)或平均赫斯特参数(H)的质地参数可以帮助找到非骨质疏松组骨折风险高的女性。这项研究的目的是结合BMD和微结构纹理参数(脊柱TBS和跟骨H)以检测骨质疏松性骨折。 255名女性的腰椎(LS),全髋(TH)和股骨颈(FN)DXA。另外,用脊柱DXA上的TBS和跟骨X线照片上的H进行质地分析。 79名妇女发生了脆性骨折。与骨折的相关性通过多元逻辑回归进行评估。通过比值比(OR)评估每个参数的诊断价值,或者单独评估。在包括BMD,H和TBS在内的模型中评估了接收器工作特性(ROC)的曲线下面积(AUC)。根据女性的BMD状况,女性也被划分为H或TBS的最低和最高三分位。患有骨折的女性比没有骨折的女性年龄更大,TBS,H,LS-BMD和TH-BMD较低。 LS,FN和TH-BMD的年龄调整后的OR分别为1.66、1.70和1.93。调整年龄和TH-BMD后,TBS和H仍与骨折明显相关:OR 2.07 [1.43; 3.05]和1.47 [1.04; [2.11]。在多变量模型中添加纹理参数并没有显示ROC-AUC的显着改善。然而,在TBS或H最低范围内,BMD正常或骨质疏松的女性比TBS或H阈值以上的女性骨折的发生率明显更高。我们已经表明,除了BMD之外,纹理参数(例如TBS和H)对于区分骨质疏松性骨折或非骨质疏松性骨折的患者具有潜在的兴趣。但是,应相对于其他风险因素评估其临床附加值。

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