Suppr超能文献

用于评估非窝沟型邻面龋的荧光图像评分系统的开发。

Development of a fluorescence-image scoring system for assessing noncavitated occlusal caries.

机构信息

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, 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.

出版信息

Photodiagnosis Photodyn Ther. 2018 Mar;21:36-42. doi: 10.1016/j.pdpdt.2017.10.027. Epub 2017 Nov 22.

Abstract

BACKGROUND

This study aimed (1) to develop a scoring system based on a quantitative light-induced fluorescence (QLF) score for the occlusal caries (QS-Occlusal) that standardizes the fluorescence properties of noncavitated lesions from QLF images, (2) to confirm the validity and reliability of QS-Occlusal, and (3) to determine whether it is possible to replace existing clinical examinations by image evaluations based on the developed QS-Occlusal for assessing occlusal caries lesions.

METHODS

This clinical study investigated 791 teeth of 94 subjects. The teeth were assessed by visual and tactile examinations using ICDAS criteria and quantitative light-induced fluorescence-digital (QLF-D) image examinations. QS-Occlusal was divided into four stages (from 0 to 3) based on the progression level of the lesion and the fluorescence loss and red fluorescence on captured QLF-D images. Two trained examiners who were not involved in the visual examination evaluated occlusal fluorescence images using QS-Occlusal. The maximum loss of fluorescence (|ΔF|) and the maximum change in the ratio of red and green fluorescence (ΔR) were quantitatively analyzed by the QA2 software to detect differences between the QS-Occlusal groups. The modalities were compared in terms of sensitivity, specificity, and area under the receiver operating characteristics (AUROC) curve for three different thresholds of the ICDAS codes: 0 vs 1-4 (D), 0-2 vs 3/4 (D), and 0-3 vs 4 (D).

RESULTS

|ΔF| increased significantly by about 4.7-fold (from 15.94 to 75.63) when QS-Occlusal increased from 0 to 3. ΔR was about 6.2-fold higher for QS-Occlusal=1 (49.74) than for QS-Occlusal=0 (8.04), and 21.6-fold higher for QS-Occlusal=3 (P<0.05). The new QS-Occlusal showed an excellent AUROC (ranging from 0.807 to 0.976) in detecting occlusal caries when optimum cutoff values were applied. The intra- and interexaminer agreements indicated excellent reliability, with ICC values of 0.94 and 0.86, respectively.

CONCLUSIONS

The QS-Occlusal proposed in this study can be used in the clinical detection of noncavitated lesions with an excellent diagnostic ability. This makes it possible to replace clinical examinations and intuitively evaluate the lesion severity and status relatively easily and objectively by applying this scoring system to fluorescence images.

摘要

背景

本研究旨在(1)建立一种基于定量光致荧光(QLF)评分的窝沟龋评分系统(QS-Occlusal),以标准化 QLF 图像中非龋性病变的荧光特性;(2)验证 QS-Occlusal 的有效性和可靠性;(3)确定是否可以通过基于开发的 QS-Occlusal 的图像评估来替代现有的临床检查,用于评估窝沟龋病变。

方法

本临床研究共纳入 94 名受试者的 791 颗牙齿。使用 ICDAS 标准对牙齿进行视觉和触觉检查,并进行定量光致荧光-数字(QLF-D)图像检查。QS-Occlusal 根据病变的进展程度和捕获的 QLF-D 图像上的荧光损失和红色荧光,分为四个阶段(0-3)。两位未参与视觉检查的训练有素的检查者使用 QS-Occlusal 评估窝沟荧光图像。QA2 软件对最大荧光损失(|ΔF|)和红/绿荧光比值最大变化(ΔR)进行定量分析,以检测 QS-Occlusal 组之间的差异。比较了三种不同 ICDAS 代码阈值(0 与 1-4(D)、0-2 与 3/4(D)、0-3 与 4(D))下三种模式的敏感性、特异性和受试者工作特征曲线下面积(AUROC)。

结果

当 QS-Occlusal 从 0 增加到 3 时,|ΔF| 显著增加了约 4.7 倍(从 15.94 增加到 75.63)。对于 QS-Occlusal=1(49.74),ΔR 约高 6.2 倍,对于 QS-Occlusal=0(8.04),对于 QS-Occlusal=3(P<0.05),高 21.6 倍。当应用最佳截断值时,新提出的 QS-Occlusal 在检测窝沟龋方面具有优异的 AUROC(范围为 0.807 至 0.976)。内和间检查者之间的一致性表明具有极好的可靠性,ICC 值分别为 0.94 和 0.86。

结论

本研究提出的 QS-Occlusal 可用于非龋性病变的临床检测,具有出色的诊断能力。通过将该评分系统应用于荧光图像,可以通过应用此评分系统,更轻松、更客观地评估病变的严重程度和状态,从而有可能替代临床检查。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验