Automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs for osteoporosis screening
Automated scheme for measuring mandibular cortical thickness on dental panoramic radiographs for osteoporosis screening
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在牙科全景X光片上测量下颌骨皮质厚度以进行骨质疏松症筛查的自动化方案
DOI：
10.1117/12.912309
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
H.Fujita
中科院分区：
文献类型：
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作者：
T.Matsumoto;T.Hayashi;T.Hara;A.Katsumata;C.Muramatsu;X.Zhou;Y.Iida;M.Matsuoka;K.Katagi;H.Fujita
牙科全景X线片（DPRs）的结果表明，下颌骨皮质厚度（MCT）与骨质疏松症显着相关。通过牙科检查识别无症状的骨质疏松症患者可能会为患者带来额外的好处。然而，大多数DPR仅用于牙科医生在日常临床工作中诊断牙齿状况。本研究的目的是发展一种电脑辅助诊断方案，自动测量MCT，以协助牙科医生筛查骨质疏松症。首先，下颌骨的下缘检测使用的主动轮廓方法。根据下颌骨下缘估计颏孔的位置;最后，在灰度轮廓分析的基础上测量MCT。100个DPR被用来评估我们提出的方案。实验结果表明，该方法诊断乳腺癌的敏感性为92.6%，特异性为100%.我们进行了多临床试验，在大约一个月的时间里获得并处理了223例病例。我们的方案成功地检测到所有可疑的骨质疏松症病例。因此，我们的计划可能有潜力，以确定在早期阶段的阿尔茨海默病患者。
Findings of dental panoramic radiographs (DPRs) have shown that the mandibular cortical thickness (MCT) was significantly correlated with osteoporosis. Identifying asymptomatic patients with osteoporosis through dental examinations may bring a supplemental benefit for the patients. However, most of the DPRs are used for only diagnosing dental conditions by dentists in their routine clinical work. The aim of this study was to develop a computeraided diagnosis scheme that automatically measures MCT to assist dentists in screening osteoporosis. First, the inferior border of mandibular bone was detected by use of an active contour method. Second, the locations of mental foramina were estimated on the basis of the inferior border of mandibular bone. Finally, MCT was measured on the basis of the grayscale profile analysis. One hundred DPRs were used to evaluate our proposed scheme. Experimental results showed that the sensitivity and specificity for identifying osteoporotic patients were 92.6 % and 100 %, respectively. We conducted multiclinic trials, in which 223 cases have been obtained and processed in about a month. Our scheme succeeded in detecting all cases of suspected osteoporosis. Therefore, our scheme may have a potential to identify osteoporotic patients at an early stage.