Allen P Danny, Graham Jim, Farnell Damian J J, Harrison Elizabeth J, Jacobs Reinhilde, Nicopolou-Karayianni Kety, Lindh Christina, van der Stelt Paul F, Horner Keith, Devlin Hugh
Division of Imaging Science and Biomedical Engineering, University of Manchester, Manchester M13 9PL, UK.
IEEE Trans Inf Technol Biomed. 2007 Nov;11(6):601-10. doi: 10.1109/titb.2006.888704.
We describe a novel method of estimating reduced bone mineral density (BMD) from dental panoramic tomograms (DPTs), which show the entire mandible. Careful expert width measurement of the inferior mandibular cortex has been shown to be predictive of BMD in hip and spine osteopenia and osteoporosis. We have implemented a method of automatic measurement of the width by active shape model search, using as training data 132 DPTs of female subjects whose BMD has been established by dual-energy X-ray absorptiometry. We demonstrate that widths measured after fully automatic search are significantly correlated with BMD, and exhibit less variability than manual measurements made by different experts. The correlation is highest towards the lateral region of the mandible, in a position different from that previously employed for manual width measurement. An receiver-operator characterstic (ROC) analysis for identifying osteopenia (T < -1: BMD more than one standard deviation below that of young healthy females) gives an area under curve (AUC) value of 0.64. Using a minimal interaction to initiate active shape model (ASM) search, the measurement can be made at the optimum region of the mandible, resulting in an AUC value of 0.71. Using an independent test set, AUC for detection of osteoporosis (T < -2.5) is 0.81.
我们描述了一种从牙科全景断层扫描(DPT)估计降低的骨矿物质密度(BMD)的新方法,DPT可显示整个下颌骨。研究表明,由专家仔细测量下颌骨皮质下部的宽度可预测髋部和脊柱骨质减少及骨质疏松症中的骨密度。我们采用了一种通过主动形状模型搜索自动测量宽度的方法,将132例通过双能X线吸收法确定骨密度的女性受试者的DPT用作训练数据。我们证明,全自动搜索后测量的宽度与骨密度显著相关,并且与不同专家进行的手动测量相比,变异性更小。这种相关性在下颌骨外侧区域最高,其位置与先前用于手动宽度测量的位置不同。用于识别骨质减少(T < -1:骨密度比年轻健康女性低一个以上标准差)的受试者工作特征(ROC)分析得出曲线下面积(AUC)值为0.64。通过最少的交互来启动主动形状模型(ASM)搜索,可以在下颌骨的最佳区域进行测量,从而使AUC值达到0.71。使用独立测试集,检测骨质疏松症(T < -2.5)的AUC为0.81。