Yonsei University College of Dentistry, Oral Science Research Institute, Department of Preventive De, Republic of Korea.
University of Liverpool, School of Dentistry, Department of Health Services Research, Liverpool, United Kingdom.
J Biomed Opt. 2017 Oct;22(12):1-6. doi: 10.1117/1.JBO.22.12.121701.
Various technologies used to objectively determine enamel thickness or dentin exposure have been suggested. However, most methods have clinical limitations. This study was conducted to confirm the potential of quantitative light-induced fluorescence (QLF) using autofluorescence intensity of occlusal surfaces of worn teeth according to enamel grinding depth in vitro. Sixteen permanent premolars were used. Each tooth was gradationally ground down at the occlusal surface in the apical direction. QLF-digital and swept-source optical coherence tomography images were acquired at each grinding depth (in steps of 100 μm). All QLF images were converted to 8-bit grayscale images to calculate the fluorescence intensity. The maximum brightness (MB) values of the same sound regions in grayscale images before (MBbaseline) and phased values after (MBworn) the grinding process were calculated. Finally, 13 samples were evaluated. MBworn increased over the grinding depth range with a strong correlation (r=0.994, P<0.001). In conclusion, the fluorescence intensity of the teeth and grinding depth was strongly correlated in the QLF images. Therefore, QLF technology may be a useful noninvasive tool used to monitor the progression of tooth wear and to conveniently estimate enamel thickness.
各种用于客观确定牙釉质厚度或牙本质暴露的技术已被提出。然而,大多数方法都存在临床局限性。本研究旨在通过体外实验,根据牙釉质磨除深度,确认定量光荧光(QLF)技术利用咬合面自发荧光强度的潜在用途。使用 16 颗恒牙进行研究。每个牙齿在牙合面方向从牙冠处逐渐磨除。在每次磨除深度(每次 100μm)时获取 QLF 数字图像和扫频源光相干断层扫描图像。将所有 QLF 图像转换为 8 位灰度图像以计算荧光强度。计算灰度图像中同一正常区域在磨除过程前后(MBbaseline 和 MBworn)的最大亮度(MB)值。最后,对 13 个样本进行了评估。MBworn 在磨除深度范围内呈上升趋势,相关性很强(r=0.994,P<0.001)。总之,在 QLF 图像中,牙齿的荧光强度与磨除深度有很强的相关性。因此,QLF 技术可能是一种有用的非侵入性工具,可用于监测牙齿磨损的进展,并方便地估计牙釉质厚度。