Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images
Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images
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开发根据临床定量 CT 图像评估腰椎二维和三维骨矿物质密度的系统
DOI：
10.1007/s11657-023-01216-y
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发表时间：
2023
期刊：
影响因子：
--
通讯作者：
Okada S.
中科院分区：
文献类型：
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作者：
Uemura K;Fujimori T;Otake Y;Shimomoto Y;Kono S;Takashima K;Hamada H;Takenaka S;Kaito T;Sato Y;Sugano N;Okada S.
本研究开发了一个系统，以量化腰椎的骨密度（BMD）在二维和三维骨质疏松症筛查使用定量CT图像。测量的二维BMD可以重现在双能X射线骨密度仪进行的BMD测量，和骨质疏松症的准确诊断是possible.PurposeTo日期，骨矿物质密度（BMD）的评估，使用CT图像已在三维，导致错误的检测骨质疏松症的基础上，使用双能X射线骨密度仪（DXA-BMD）的BMD的二维评估。在这里，我们的目的是开发一个系统，测量二维和三维腰椎骨密度定量CT图像和验证系统在诊断骨质疏松症的准确性方面的DXA classification.MethodsFifty-nine对脊柱CT和DXA图像进行了分析。首先，在CT图像上测量L1椎体轴向切片的三维BMD（L1-vBMD）。然后，从CT图像中分割L1-L4椎骨，以测量L1-L4椎体小梁区域的三维BMD（CT-vBMD）。最后，将分割的椎骨投影到冠状面上以测量二维BMD（CT-aBMD）。结果DXA-BMD与L1-vBMD、CT-vBMD和CT-aBMD的相关系数分别为0.364、0.456和0.911（均P < 0.01）。在诊断骨质疏松的ROC曲线分析中，CT aBMD的曲线下面积（0.941）显著高于L1 vBMD（0.582）和CT vBMD（0.657）（P均< 0.01）。鉴于我们的方法可以在二维和三维中量化BMD，它可以用于从定量CT图像中筛选骨质疏松症。
This study developed a system to quantify the lumbar spine’s bone mineral density (BMD) in two and three dimensions for osteoporosis screening using quantitative CT images. Measuring the two-dimensional BMD could reproduce the BMD measurement performed in dual-energy X-ray absorptiometry, and an accurate diagnosis of osteoporosis was possible.PurposeTo date, the assessment of bone mineral density (BMD) using CT images has been made in three dimensions, leading to errors in detecting osteoporosis based on the two-dimensional assessments of BMD using dual-energy X-ray absorptiometry (DXA-BMD). Herein, we aimed to develop a system that measures two- and three-dimensional lumbar BMD from quantitative CT images and validated the accuracy of the system in diagnosing osteoporosis with regard to the DXA classification.MethodsFifty-nine pairs of spinal CT and DXA images were analyzed. First, the three-dimensional BMD was measured at the axial slice of the L1 vertebra on CT images (L1-vBMD). Then, the L1-L4 vertebrae were segmented from the CT images to measure the three-dimensional BMD at the trabecular region of the L1-L4 vertebral bodies (CT-vBMD). Lastly, the segmented vertebrae were projected onto the coronal plane to measure the two-dimensional BMD (CT-aBMD). Each parameter was correlated with DXA-BMD, and the receiver operating characteristic (ROC) curve to diagnose osteoporosis was assessed.ResultsThe correlation coefficients of DXA-BMD with L1-vBMD, CT-vBMD, and CT-aBMD were 0.364, 0.456, and 0.911, respectively (allp< 0.01). In the ROC curve analysis to diagnose osteoporosis, the area under the curve for CT-aBMD (0.941) was significantly higher than those for L1-vBMD (0.582) and CT-vBMD (0.657) (bothp< 0.01).ConclusionCompared with L1-vBMD and CT-vBMD, CT-aBMD could accurately predict DXA-BMD and detect patients with osteoporosis. Given that our method can quantify BMD in both two and three dimensions, it could be used to screen for osteoporosis from quantitative CT images.