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应用于临床环境的双向轴向传输测量。

Bi-Directional Axial Transmission measurements applied in a clinical environment.

机构信息

Sorbonne Université, INSERM UMR S 1146, CNRS UMR 7371, Laboratoire d'Imagerie Biomédicale, Paris, France.

Escuela de Ingeniería Informática, Universidad de Valparaíso, Valparaíso, Chile.

出版信息

PLoS One. 2022 Dec 30;17(12):e0277831. doi: 10.1371/journal.pone.0277831. eCollection 2022.

DOI:10.1371/journal.pone.0277831
PMID:36584002
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9803229/
Abstract

Accurate measurement of cortical bone parameters may improve fracture risk assessment and help clinicians on the best treatment strategy. Patients at risk of fracture are currently detected using the current X-Ray gold standard DXA (Dual XRay Absorptiometry). Different alternatives, such as 3D X-Rays, Magnetic Resonance Imaging or Quantitative Ultrasound (QUS) devices, have been proposed, the latter having advantages of being portable and sensitive to mechanical and geometrical properties. The objective of this cross-sectional study was to evaluate the performance of a Bi-Directional Axial Transmission (BDAT) device used by trained operators in a clinical environment with older subjects. The device, positioned at one-third distal radius, provides two velocities: VFAS (first arriving signal) and VA0 (first anti-symmetrical guided mode). Moreover, two parameters are obtained from an inverse approach: Ct.Th (cortical thickness) and Ct.Po (cortical porosity), along with their ratio Ct.Po/Ct.Th. The areal bone mineral density (aBMD) was obtained using DXA at the femur and spine. One hundred and six patients (81 women, 25 men) from Marien Hospital and St. Anna Hospital (Herne, Germany) were included in this study. Age ranged from 41 to 95 years, while body mass index (BMI) ranged from 16 to 47 kg.m-2. Three groups were considered: 79 non-fractured patients (NF, 75±13years), 27 with non-traumatic fractures (F, 80±9years) including 14 patients with non-vertebral fractures (NVF, 84±7years). Weak to moderate significant Spearman correlations (R ranging from 0.23 to 0.53, p < 0.05) were found between ultrasound parameters and age, BMI. Using multivariate Partial Least Square discrimination analyses with Leave-One-Out Cross-Validation (PLS-LOOCV), we found the combination of VFAS and the ratio Ct.Po/Ct.Th to be predictive for all non traumatic fractures (F) with the odds ratio (OR) equals to 2.5 [1.6-3.4] and the area under the ROC curve (AUC) equal to 0.63 [0.62-0.65]. For the group NVF, combination of four parameters VA0. Ct.Th, Ct.Po and Ct.Po/Ct.Po, along with age provides a discrimination model with OR and AUC equals to 7.5 [6.0-9.1] and 0.75 [0.73-0.76]. When restricted to a smaller population (87 patients) common to both BDAT and DXA, BDAT ORs and AUCs are comparable or slightly higher to values obtained with DXA. The fracture risk assessment by BDAT method in older patients, in a clinical setting, suggests the benefit of the affordable and transportable device for the routine use.

摘要

准确测量皮质骨参数可以改善骨折风险评估,并帮助临床医生制定最佳治疗策略。目前,使用 X 射线金标准 DXA(双能 X 射线吸收法)来检测骨折风险患者。已经提出了不同的替代方法,例如 3D X 射线、磁共振成像或定量超声(QUS)设备,后者具有便携性和对机械和几何特性敏感的优势。本横断面研究的目的是评估在临床环境中由经过培训的操作人员使用双向轴向传输(BDAT)设备在老年患者中使用的性能。该设备位于三分之一的桡骨远端,提供两个速度:VFAS(第一个到达信号)和 VA0(第一个反对称引导模式)。此外,从反演方法中获得两个参数:Ct.Th(皮质厚度)和 Ct.Po(皮质孔隙率),以及它们的比值 Ct.Po/Ct.Th。使用 DXA 在股骨和脊柱处获得面积骨矿物质密度(aBMD)。来自 Marien 医院和圣安娜医院(德国 Herne)的 106 名患者(81 名女性,25 名男性)纳入本研究。年龄从 41 岁到 95 岁,而体重指数(BMI)从 16 到 47kg.m-2。考虑了三个组:79 名无骨折患者(NF,75±13 岁),27 名非创伤性骨折患者(F,80±9 岁),其中 14 名非脊柱骨折患者(NVF,84±7 岁)。超声参数与年龄、BMI 之间存在弱到中度显著的斯皮尔曼相关性(R 范围为 0.23 至 0.53,p<0.05)。使用带有Leave-One-Out 交叉验证(PLS-LOOCV)的多元偏最小二乘判别分析,我们发现 VFAS 和 Ct.Po/Ct.Th 比值的组合可预测所有非创伤性骨折(F),优势比(OR)等于 2.5[1.6-3.4],ROC 曲线下面积(AUC)等于 0.63[0.62-0.65]。对于 NVF 组,结合 VA0、Ct.Th、Ct.Po 和 Ct.Po/Ct.Po 等四个参数以及年龄,可以提供一个具有 OR 和 AUC 的判别模型,OR 和 AUC 分别为 7.5[6.0-9.1]和 0.75[0.73-0.76]。当限制在一个较小的人群(87 名患者)中,该人群在 BDAT 和 DXA 中都很常见,BDAT 的 OR 和 AUC 与 DXA 获得的值相当或略高。在临床环境中,使用 BDAT 方法对老年患者进行骨折风险评估表明,该负担得起且便携的设备具有常规使用的优势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/a685d3ce75a7/pone.0277831.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/83997081e193/pone.0277831.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/e47e475b67bd/pone.0277831.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/a685d3ce75a7/pone.0277831.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/83997081e193/pone.0277831.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/e47e475b67bd/pone.0277831.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55b2/9803229/a685d3ce75a7/pone.0277831.g003.jpg

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