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Assessment of tooth wear based on autofluorescence properties measured using the QLF technology in vitro

机译：根据使用QLF技术在体外测得的自发荧光特性评估牙齿磨损

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Background: 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.Methods: 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 (Delta G) 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.Results: 100 teeth were included in the final analysis without six teeth having enamel cracks around worn area. The Delta G 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 Delta G compared with enamel-remained teeth.Conclusions: The fluorescence intensity differed significantly depending on the presence of dentine exposure. Delta G 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 non-invasively.
机译：背景：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）。这项研究基于自身荧光强度的差异，研究了QLF鉴别TW咬合严重程度的潜力。方法：总共使用106颗永久磨牙和前磨牙，这些磨牙和前磨牙可能没有磨损而没有牙髓暴露。通过使用Smith和Knight的牙齿磨损指数（TWI）目视检查所有牙齿来确定磨损的严重程度。捕获QLF图像并将其转换为8位灰度图像。通过比较声音和磨损区域之间的平均灰度水平，可以计算出荧光强度的差异（ΔG）。最后，通过体视显微镜进行组织学检查，以确认是否存在牙本质暴露。结果：最终分析中包括100颗牙齿，而在磨损区域周围没有6颗牙齿有牙釉质裂纹。 Delta G值随使用常规TWI编码量化的TW严重程度而增加，并且在有声牙齿和牙釉质和牙本质磨损牙齿之间存在显着差异（P <0.001）。组织学表明牙釉质保留在57颗牙齿上，而43颗牙齿暴露在牙本质中，与牙釉质保留的牙齿相比，牙本质G值显示出显着差异。结论：荧光强度根据牙本质暴露的存在而显着不同。 Delta G可以用来区分声音与牙釉质和牙本质磨损牙齿之间的相关性。这些发现表明，QLF可用于非侵入性确定咬合面TW的严重程度。

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