Department of Preventive and Community Dentistry, Indiana University School of Dentistry, Indianapolis, Indiana. USA.
J Dent Res. 2013 Jul;92(7 Suppl):84S-9S. doi: 10.1177/0022034513490167. Epub 2013 May 20.
Previous caries experience correlates to future caries risk; thus, early identification of lesions has importance for risk assessment and management. In this study, we aimed to determine if Quantitative Light-induced Fluorescence (QLF) parameters--area (A [mm(2)]), fluorescence loss (F [%]), and Q [% × mm(2)]--obtained by image analyses can predict lesion progression. We secured consent from 565 children (from 5-13 years old) and their parents/guardians and examined them at baseline and regular intervals over 48 months according to the International Caries Detection Assessment System (ICDAS), yearly radiographs, and QLF. QLF images from surfaces with ICDAS 0/1/2/3/4 at baseline that progressed (N = 2,191) to cavitation (ICDAS 5/6) or fillings and surfaces that did not progress to cavitation/fillings (N = 4,141) were analyzed independently for A, F, and Q. Linear mixed-effects models were used to compare means and slopes (changes over time) between surfaces that progressed and those that did not. QLF A, F, and Q increased at a faster rate for surfaces that progressed than for surfaces that did not progress (p = .0001), regardless of type of surface or baseline ICDAS score. AUC for ICDAS ranged from 0.65 to 0.80, but adding QLF information improved AUC (0.82-0.87, p < .0005). We concluded that faster changes in QLF variables can indicate lesion progression toward cavitation and be more clinically relevant than actual QLF values.
先前的龋齿经历与未来的龋齿风险相关;因此,早期识别病变对于风险评估和管理具有重要意义。在本研究中,我们旨在确定通过图像分析获得的定量光诱导荧光(QLF)参数——面积(A [mm²])、荧光损失(F [%])和 Q [%×mm²]——是否可以预测病变进展。我们从 565 名儿童(5-13 岁)及其父母/监护人那里获得了同意,并根据国际龋齿检测评估系统(ICDAS)、每年的 X 光片和 QLF,在基线和 48 个月的定期间隔内对他们进行了检查。基线时 ICDAS 0/1/2/3/4 处的 QLF 图像,如果进展为龋齿(ICDAS 5/6)或填充,则发生进展(N = 2,191),而没有进展为龋齿/填充的 QLF 图像(N = 4,141)则独立分析 A、F 和 Q。线性混合效应模型用于比较进展表面和未进展表面的平均值和斜率(随时间变化)。与未进展表面相比,进展表面的 QLF A、F 和 Q 增加速度更快(p =.0001),无论表面类型或基线 ICDAS 评分如何。ICDAS 的 AUC 范围为 0.65 至 0.80,但添加 QLF 信息可提高 AUC(0.82-0.87,p <.0005)。我们得出结论,QLF 变量的更快变化可以指示病变向龋齿进展,并且比实际 QLF 值更具临床相关性。