摘要
目的分析并验证一种人工智能软件ITK-SNAP在识别下颌磨牙与下牙槽神经管之间关系的可行性。方法选取100名大学生的锥形束CT(CBCT)影像资料,随机抽取30例作为试验组,剩余70例与试验组的30例一并作为验证组。分别采用CBCT图像分析软件和ITK-SNAP测量下颌磨牙根尖及牙槽间隔顶到下牙槽神经管的距离。结果CBCT和ITK-SNAP软件测量下颌磨牙与下牙槽神经管之间的距离差异组间比较无统计学意义(P>0.05),且r>0(相关系数r均大于0.9),相关性较高;在男性和女性中,下颌第一磨牙近中根尖、远中根尖、牙槽间隔顶至下牙槽神经管上壁的距离均明显大于第二磨牙(P<0.05),左右两侧下颌第一磨牙各位点到下牙槽神经管上壁的距离均明显大于第二磨牙(P<0.05)。结论人工智能软件ITK-SNAP测量下颌磨牙与下牙槽神经管之间的距离具有可行性,为下颌磨牙区即刻种植术前规划提供了参考。
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 ITKSNAP 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.
作者
赵文博
李昕茹
苏航
滕微微
蔡雯昱
周立波
Zhao Wenbo;Li Xinru;Su Hang;Teng Weiwei;Cai Wenyu;Zhou Libo(Jiamusi University Affiliated Stomatological Hospital&Key Laboratory of Oral Biomaterials and Clinical Applications of Heilongjiang Province,Jiamusi 154000,Heilongjiang,China)
出处
《中国口腔种植学杂志》
2024年第2期178-183,共6页
Chinese Journal of Oral Implantology
基金
黑龙江省自然科学基金(LH2021H108)
黑龙江省高等教育教学改革项目(SJGZ20220124)。
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
Artificial intelligence
Mandibular canal
Mandibular molar
Image segmentation
Immediate implant placement
