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使用从常规腹部MDCT得出的3D非线性有限元参数预测特定椎体水平的偶发性骨质疏松性骨折

Prediction of Incidental Osteoporotic Fractures at Vertebral-Specific Level Using 3D Non-Linear Finite Element Parameters Derived from Routine Abdominal MDCT.

作者信息

Yeung Long Yu, Rayudu Nithin Manohar, Löffler Maximilian, Sekuboyina Anjany, Burian Egon, Sollmann Nico, Dieckmeyer Michael, Greve Tobias, Kirschke Jan S, Subburaj Karupppasamy, Baum Thomas

机构信息

Engineering Product Development (EPD) Pillar, Singapore University of Technology and Design (SUTD), Singapore 487372, Singapore.

Department of Diagnostic and Interventional Neuroradiology, Klinikum Rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Street 22, 81675 Munich, Germany.

出版信息

Diagnostics (Basel). 2021 Jan 30;11(2):208. doi: 10.3390/diagnostics11020208.

DOI:10.3390/diagnostics11020208
PMID:33573295
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7911185/
Abstract

To investigate whether finite element (FE) analysis of the spine in routine thoracic/abdominal multi-detector computed tomography (MDCT) can predict incidental osteoporotic fractures at vertebral-specific level; Baseline routine thoracic/abdominal MDCT scans of 16 subjects (8(m), mean age: 66.1 ± 8.2 years and 8(f), mean age: 64.3 ± 9.5 years) who sustained incidental osteoporotic vertebral fractures as confirmed in follow-up MDCTs were included in the current study. Thoracic and lumbar vertebrae (T5-L5) were automatically segmented, and bone mineral density (BMD), finite element (FE)-based failure-load, and failure-displacement were determined. These values of individual vertebrae were normalized globally (g), by dividing the absolute value with the average of L1-3 and locally by dividing the absolute value with the average of T5-12 and L1-5 for thoracic and lumbar vertebrae, respectively. Mean-BMD of L1-3 was determined as reference. Receiver operating characteristics (ROC) and area under the curve (AUC) were calculated for different normalized FE (K, K,K, and K) and BMD (K, and K) ratio parameter combinations for identifying incidental fractures. K, K, K, and K showed significantly higher discriminative power compared to standard mean BMD of L1-3 (BMD) (AUC = 0.67 for K; 0.64 for K; 0.64 for K; 0.61 for K vs. 0.54 for BMD). The combination of K, K, and K increased the AUC further up to 0.77 ( < 0.001). The combination of FE with BMD measurements derived from routine thoracic/abdominal MDCT allowed an improved prediction of incidental fractures at vertebral-specific level.

摘要

为研究常规胸部/腹部多排螺旋计算机断层扫描(MDCT)中脊柱的有限元(FE)分析能否在特定椎体水平预测偶然发生的骨质疏松性骨折;本研究纳入了16名受试者(8名男性,平均年龄:66.1±8.2岁;8名女性,平均年龄:64.3±9.5岁)的基线常规胸部/腹部MDCT扫描,这些受试者在后续MDCT中被证实发生了偶然的骨质疏松性椎体骨折。对胸腰椎(T5-L5)进行自动分割,并测定骨密度(BMD)、基于有限元的破坏载荷和破坏位移。通过分别用L1-3的平均值除以绝对值对各椎体的这些值进行全局归一化(g),对于胸椎和腰椎,分别用T5-12和L1-5的平均值除以绝对值进行局部归一化。将L1-3的平均骨密度确定为参考值。计算不同归一化有限元(K、K、K和K)和骨密度(K和K)比值参数组合用于识别偶然骨折的受试者工作特征(ROC)和曲线下面积(AUC)。与L1-3的标准平均骨密度(BMD)相比,K、K、K和K显示出显著更高的判别能力(K的 AUC = 0.67;K的 AUC = 0.64;K的 AUC = 0.64;K的 AUC = 0.61,而BMD的 AUC = 0.54)。K、K和K的组合进一步将AUC提高到0.77(P<0.001)。将有限元与常规胸部/腹部MDCT得出的骨密度测量值相结合,能够更好地在特定椎体水平预测偶然骨折。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83dc/7911185/c53797e89fb6/diagnostics-11-00208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83dc/7911185/fbacb2d5e7c1/diagnostics-11-00208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83dc/7911185/c53797e89fb6/diagnostics-11-00208-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83dc/7911185/fbacb2d5e7c1/diagnostics-11-00208-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83dc/7911185/c53797e89fb6/diagnostics-11-00208-g005.jpg

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