Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea.
Department of Preventive Dentistry & Public Oral Health, BK21 PLUS Project, Yonsei University College of Dentistry, Seoul, Republic of Korea; Department of Health Services Research, University of Liverpool, Liverpool, United Kingdom; Inspektor Research Systems BV, Amsterdam, The Netherlands.
Photodiagnosis Photodyn Ther. 2017 Dec;20:257-262. doi: 10.1016/j.pdpdt.2017.10.009. Epub 2017 Oct 24.
This study aimed to assess the screening performance of the quantitative light-induced fluorescence (QLF) technology to detect proximal caries using both fluorescence loss and red fluorescence in a clinical situation. Moreover, a new simplified QLF score for the proximal caries (QS-Proximal) is proposed and its validity for detecting proximal caries was evaluated as well.
This clinical study included 280 proximal surfaces, which were assessed by visual-tactile and radiographic examinations and scored by each scoring system according to lesion severity. The occlusal QLF images were analysed in two different ways: (1) a quantitative analysis producing fluorescence loss (ΔF) and red fluorescence (ΔR) parameters; and (2) a new QLF scoring index. For both quantitative parameters and QS-Proximal, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) were calculated as a function of the radiographic scoring index at the enamel and dentine caries levels.
Both ΔF and ΔR showed excellent AUROC values at the dentine caries level (ΔF=0.860, ΔR=0.902) whereas a relatively lower value was observed at the enamel caries level (ΔF=0.655, ΔR=0.686). The QS-Proximal also showed excellent AUROC ranged from 0.826 to 0.864 for detecting proximal caries at the dentine level.
The QS-Proximal, which represents fluorescence changes, showed excellent performance in detecting proximal caries using the radiographic score as the gold standard.
本研究旨在评估定量光诱导荧光(QLF)技术在临床情况下使用荧光丧失和红色荧光检测近中龋的筛查性能。此外,还提出了一种新的简化近中龋 QLF 评分(QS-Proximal),并评估了其检测近中龋的有效性。
本临床研究纳入了 280 个近中面,通过视觉触觉和放射学检查进行评估,并根据病变严重程度使用每种评分系统进行评分。对咬合面 QLF 图像进行了两种不同的分析:(1)产生荧光丧失(ΔF)和红色荧光(ΔR)参数的定量分析;和(2)新的 QLF 评分指数。对于这两个定量参数和 QS-Proximal,计算了作为釉质和牙本质龋水平放射评分指数的函数的灵敏度、特异性和受试者工作特征曲线(AUROC)下面积。
ΔF 和 ΔR 在牙本质龋水平均显示出优异的 AUROC 值(ΔF=0.860,ΔR=0.902),而在釉质龋水平观察到相对较低的值(ΔF=0.655,ΔR=0.686)。QS-Proximal 也表现出优异的 AUROC,范围从 0.826 到 0.864,用于检测牙本质水平的近中龋。
QS-Proximal 代表荧光变化,使用放射评分作为金标准,在检测近中龋方面表现出优异的性能。