Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark,
3Shape TRIOS A/S, Copenhagen, Denmark,
Caries Res. 2020;54(4):324-335. doi: 10.1159/000509925. Epub 2020 Oct 14.
To develop an automated fluorescence-based caries scoring system for an intraoral scanner and totest the performance of the system compared to state-of-the-art methods.
Seventy-three permanent posterior teeth were scanned with a three-dimensional (3D) intraoral scanner prototype which emitted light at 415 nm. An overlay representing the fluorescence signal from the tissue was mapped onto 3D models of the teeth. Multiple examination sites (n = 139) on the occlusal surfaces were chosen, and their red and green fluorescence signal components were extracted. These components were used to calculate 4 mathematical functions upon which a caries scoring system for the scanner prototype could be based. Visual-tactile (International Caries Detection and Assessment System, ICDAS), radiographic (ICDAS), and histological assessments were conducted on the same examination sites.
Most index tests showed significant correlation with histology. The strongest correlation was observed for the visual-tactile examination (rs = 0.80) followed by the scanner supported by the caries classification function that quantifies the overall fluorescence compared to sound surfaces (rs = 0.78). Additionally, this function resulted in the highest intra-examiner reliability (κ = 0.964), and the highest sum of sensitivity (SE) and specificity (SP) (sum SE-SP: 1.60-1.84) at the 2 histological levels where the comparison with visual-tactile assessment was possible (κ = 0.886, sum SE-SP = 1.57-1.81) and at the 3 out of 4 histological levels where the comparison with radiographic assessment was possible (κ = 0.911, sum SE-SP = 1.37-1.78); the only exception was for the lesions in the outer third of dentin, where the radiographic assessment showed the highest sum SE-SP (1.78).
A fluorescence-based caries scoring system was developed for the intraoral scanner showing promising performance compared to state-of-the-art caries detection methods. The intraoral scanner accompanied by an automated caries scoring system may improve objective caries detection and increase the efficiency and effectiveness of oral examinations. Furthermore, this device has the potential to support reliable monitoring of early caries lesions.
为口腔内扫描仪开发一种基于荧光的自动龋病评分系统,并测试该系统与最先进方法相比的性能。
使用发射波长为 415nm 的三维(3D)口腔内扫描仪原型对 73 颗恒牙进行扫描。将代表组织荧光信号的覆盖层映射到牙齿的 3D 模型上。在咬合面选择多个检查部位(n=139),并提取其红色和绿色荧光信号成分。这些成分用于计算基于扫描仪原型的 4 个数学函数,以建立龋病评分系统。在相同的检查部位进行视觉触觉(国际龋病检测和评估系统,ICDAS)、放射学(ICDAS)和组织学评估。
大多数指标测试与组织学具有显著相关性。观察到最强的相关性是视觉触觉检查(rs=0.80),其次是支持对与正常表面相比整体荧光进行量化的龋病分类功能的扫描仪(rs=0.78)。此外,该功能具有最高的内部检验者可靠性(κ=0.964),以及在与视觉触觉评估进行比较的 2 个组织学水平(κ=0.886,总和 SE-SP=1.57-1.81)和在与放射学评估进行比较的 4 个组织学水平中的 3 个水平(κ=0.911,总和 SE-SP=1.37-1.78)上具有最高的敏感性(SE)和特异性(SP)之和(总和 SE-SP=1.60-1.84);唯一的例外是在牙本质外层三分之一的病变,其中放射学评估显示出最高的总和 SE-SP(1.78)。
为口腔内扫描仪开发了一种基于荧光的龋病评分系统,与最先进的龋病检测方法相比表现出有前景的性能。配备自动龋病评分系统的口腔内扫描仪可能会提高客观龋病检测的准确性,并提高口腔检查的效率和效果。此外,该设备还有潜力支持对早期龋病病变的可靠监测。