中国口腔种植学杂志2024，Vol.29Issue(2)：178-183,6.DOI:10.12337/zgkqzzxzz.2024.04.013
人工智能在下颌磨牙区即刻种植测量分析中的可行性研究
Feasibility study of artificial intelligence in immediate implant measurements and analysis in the mandibular molar region
摘要
Abstract
Objective To analyze and validate the feasibility of an artificial intelligence software,ITK-SNAP,in identifying the distance between mandibular molars and the inferior alveolar nerve canal.Methods The cone-beam CT(CBCT)image data of 100 college students were selected,and 30 cases were randomly selected as the experimental group,and the remaining 70 cases were used as the validation group together with the 30 cases in the experimental group.The distances from the apices of the mandibular molar roots and the tops of the alveolar septa to the inferior alveolar nerve canals were measured using CBCT image analysis software and ITK-SNAP,respectively.Results The differences in the distances between mandibular molars and the inferior alveolar nerve canals measured by CBCT and ITK-SNAP software were not statistically significant in intergroup comparisons(P>0.05),and had a high correlation with r>0(correlation coefficients r were all greater than 0.9);in both males and females,the distances from the mesial apices,the distal apices,and the tops of the alveolar septa to the upper walls of the inferior alveolar nerve canals of the mandibular first molars were significantly greater than those of the second molars(P<0.05),and the distances from each point of the mandibular first molars to the upper walls of the inferior alveolar nerve canals were significantly greater than those of the second molars in both the right and left sides(P<0.05).Conclusion The artificial intelligence software ITK-SNAP for measuring the distance between mandibular molars and the mandibular canal is feasible,which provides a reference for the preoperative planning of immediate implant placement in the mandibular molar region.关键词
人工智能/下牙槽神经管/下颌磨牙/图像分割/即刻种植Key words
Artificial intelligence/Mandibular canal/Mandibular molar/Image segmentation/Immediate implant placement引用本文复制引用
赵文博,李昕茹,苏航,滕微微,蔡雯昱,周立波..人工智能在下颌磨牙区即刻种植测量分析中的可行性研究[J].中国口腔种植学杂志,2024,29(2):178-183,6.基金项目
黑龙江省自然科学基金(LH2021H108) （LH2021H108）
黑龙江省高等教育教学改革项目(SJGZ20220124) Natural Science Foundation of Heilongjiang Province(LH2021H108) （SJGZ20220124）
Heilongjiang Province Higher Education Teaching Reform Project(SJGZ20220124) （SJGZ20220124）
