PDF(Pubmed)
Abstract：
UNASSIGNED: Recently, an artificial intelligence-based computer-assisted diagnosis (AI-CAD) for panoramic radiography was developed to scan the inferior margin of the mandible and automatically evaluate mandibular cortical morphology. The aim of this study was to analyze quantitatively the mandibular cortical morphology using the AI-CAD, especially focusing on underlying diseases and dental status in women over 20 years of age.
UNASSIGNED: 419 patients in women over 20 years of age who underwent panoramic radiography were included in this study. The mandibular cortical morphology was analyzed with an AI-CAD that evaluated the degree of deformation of the mandibular inferior cortex (MIC) and mandibular cortical index (MCI) automatically. Those were analyzed in relation to underlying diseases, such as diabetes, hypertension, dyslipidemia, rheumatism and osteoporosis, and dental status, such as the number of teeth present in the maxilla and mandible.
UNASSIGNED: The degree of deformation of MIC in women under 51 years of age (21-50 years; n = 229, 16.0 ± 12.7) was significantly lower than those of over 50 years of age (51-90 years; n = 190, 45.1 ± 23.0), and the MCI was a significant difference for the different age group. Regarding the degree of deformation of MIC and MCI in women over 50 years of age, osteoporosis and number of total teeth present in the maxilla and mandible were significant differences.
UNASSIGNED: The results of this study indicated that the mandibular cortical morphology using the AI-CAD is significantly related to osteoporosis and dental status in women over 50 years of age.
UNASSIGNED: 419 patients in women over 20 years of age who underwent panoramic radiography were included in this study. The mandibular cortical morphology was analyzed with an AI-CAD that evaluated the degree of deformation of the mandibular inferior cortex (MIC) and mandibular cortical index (MCI) automatically. Those were analyzed in relation to underlying diseases, such as diabetes, hypertension, dyslipidemia, rheumatism and osteoporosis, and dental status, such as the number of teeth present in the maxilla and mandible.
UNASSIGNED: The degree of deformation of MIC in women under 51 years of age (21-50 years; n = 229, 16.0 ± 12.7) was significantly lower than those of over 50 years of age (51-90 years; n = 190, 45.1 ± 23.0), and the MCI was a significant difference for the different age group. Regarding the degree of deformation of MIC and MCI in women over 50 years of age, osteoporosis and number of total teeth present in the maxilla and mandible were significant differences.
UNASSIGNED: The results of this study indicated that the mandibular cortical morphology using the AI-CAD is significantly related to osteoporosis and dental status in women over 50 years of age.
摘要：
■最近，开发了一种用于全景X线摄影的基于人工智能的计算机辅助诊断(AI-CAD),以扫描下颌骨下缘并自动评估下颌骨皮质形态.本研究的目的是使用AI-CAD定量分析下颌皮质形态，特别是关注20岁以上女性的潜在疾病和牙齿状况。
■419例20岁以上女性接受全景X线摄影的患者纳入本研究。使用AI-CAD分析下颌皮质形态，该AI-CAD自动评估下颌下皮质（MIC）和下颌皮质指数（MCI）的变形程度。这些都是根据潜在的疾病进行分析的，比如糖尿病，高血压,血脂异常,风湿病和骨质疏松症，和牙齿状况，例如上颌骨和下颌骨中存在的牙齿数量。
■51岁以下女性(21-50岁;n=229,16.0±12.7)的MIC变形程度明显低于50岁以上女性(51-90岁;n=190,45.1±23.0),不同年龄段的MCI差异有统计学意义。关于50岁以上女性MIC和MCI的变形程度，骨质疏松症和上颌骨和下颌骨中存在的牙齿总数存在显着差异。
■这项研究的结果表明，使用AI-CAD的下颌皮质形态与50岁以上女性的骨质疏松症和牙齿状况显着相关。
■419例20岁以上女性接受全景X线摄影的患者纳入本研究。使用AI-CAD分析下颌皮质形态，该AI-CAD自动评估下颌下皮质（MIC）和下颌皮质指数（MCI）的变形程度。这些都是根据潜在的疾病进行分析的，比如糖尿病，高血压,血脂异常,风湿病和骨质疏松症，和牙齿状况，例如上颌骨和下颌骨中存在的牙齿数量。
■51岁以下女性(21-50岁;n=229,16.0±12.7)的MIC变形程度明显低于50岁以上女性(51-90岁;n=190,45.1±23.0),不同年龄段的MCI差异有统计学意义。关于50岁以上女性MIC和MCI的变形程度，骨质疏松症和上颌骨和下颌骨中存在的牙齿总数存在显着差异。
■这项研究的结果表明，使用AI-CAD的下颌皮质形态与50岁以上女性的骨质疏松症和牙齿状况显着相关。
