Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Department of Orofacial Pain & Oral Medicine, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Photodiagnosis Photodyn Ther. 2019 Mar;25:265-270. doi: 10.1016/j.pdpdt.2019.01.001. Epub 2019 Jan 3.
The difference in autofluorescence between enamel and dentine layer has prompted recommendations to use the quantitative light-induced fluorescence (QLF) method for quantifying tooth wear (TW). This study investigated the potential of QLF for distinguishing the severity of occlusal TW based on differences in the autofluorescence intensity.
In total, 106 extracted permanent molars and premolars having suspected wear without pulp exposure were used. The severity of wear was determined by visually examining all teeth using the tooth wear index (TWI) of Smith and Knight. QLF images were captured and converted into 8-bit grayscale images. The difference in the fluorescence intensity (ΔG) was calculated by comparing mean grayscale levels between sound and worn areas. Finally, histological examination was conducted by stereomicroscope to confirm the presence of dentine exposure.
100 teeth were included in the final analysis without six teeth having enamel cracks around worn area. The ΔG values increased with the severity of TW as quantified using conventional TWI codes, and differed significantly between the sound and enamel- and dentine-wear teeth (P < 0.001). The histology indicated that enamel remained on 57 teeth, while 43 teeth had dentine-exposed wear and showed significant differences in ΔG compared with enamel-remained teeth.
The fluorescence intensity differed significantly depending on the presence of dentine exposure. ΔG could be used to distinguish between sound and enamel- and dentine-wear teeth with a significant correlation. These findings indicate that QLF could be useful for determining the severity of TW of occlusal surfaces noninvasively.
牙釉质和牙本质层之间的自发荧光差异促使人们建议使用定量光诱导荧光(QLF)方法来量化牙齿磨损(TW)。本研究旨在探讨 QLF 区分基于自发荧光强度差异的咬合面 TW 严重程度的潜力。
共使用 106 颗无牙髓暴露的恒磨牙和前磨牙。使用 Smith 和 Knight 的牙齿磨损指数(TWI)对所有牙齿进行肉眼检查,以确定磨损的严重程度。采集 QLF 图像并转换为 8 位灰度图像。通过比较正常和磨损区域的平均灰度水平来计算荧光强度差异(ΔG)。最后,通过立体显微镜进行组织学检查以确认有无牙本质暴露。
在最终分析中,有 100 颗牙齿被纳入研究,其中 6 颗牙齿因磨损区域周围有牙釉质裂纹而被排除。ΔG 值随着传统 TWI 代码量化的 TW 严重程度的增加而增加,且在正常和牙釉质磨损以及牙本质磨损的牙齿之间存在显著差异(P < 0.001)。组织学检查表明,有 57 颗牙齿的牙釉质仍然存在,而 43 颗牙齿的牙本质有磨损且其ΔG 值与牙釉质保留的牙齿存在显著差异。
荧光强度与牙本质暴露的存在显著相关。ΔG 可用于区分正常和牙釉质磨损以及牙本质磨损的牙齿,且具有显著相关性。这些发现表明 QLF 可用于无创性确定咬合面 TW 的严重程度。