Noninvasive detection of microleakage in all-ceramic crowns using quantitative light-induced fluorescence technology

Maeng, You Jin; Lee, Hyung Suk; Lee, Eun Song; Yoon, Hong Cheol; Kim, Baek Il

doi:10.1016/j.pdpdt.2020.101672

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…subgingivally. 8 The vertical and horizontal gaps at the margin and the internal gaps between the mating surfaces have been commonly measured by using 2-dimensional methods. 2 With the advent of digital technology, the 3-dimensional (3D) digital measurement of marginal gaps has become possible with different imaging systems.…”

Section: Methodsmentioning

confidence: 99%

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Yılmaz

Guo

Schimmel

et al. 2023

The Journal of Prosthetic Dentistry

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Section: Methodsmentioning

confidence: 99%

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Yılmaz

Guo

Schimmel

et al. 2023

The Journal of Prosthetic Dentistry

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“…This allows the observation of bacterial structures, including plaques and calculus, as well as tissues infiltrated by bacteria, indicating red fluorescence 43 , 44 . QLF can easily detect the occurrence of secondary caries around restorations 45 – 47 . In the case of microleakage occurring in the pit and fissure sealant, bacteria infiltrating the leakage can be observed using the red fluorescence of QLF.…”

Section: Introductionmentioning

confidence: 99%

Detection of pit and fissure sealant microleakage using quantitative light-induced fluorescence technology: an in vitro study

Nam,

Ku,

Lee

et al. 2024

Sci Rep

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This in vitro study aimed to evaluate the feasibility of quantitative light-induced fluorescence (QLF) technology for detecting the presence and severity of microleakage of pit and fissure sealants. The areas of interest (AOIs) were 160 pits and fissures of 40 extracted permanent teeth. Fluorescent images were acquired using a QLF device, and the maximum fluorescence loss ΔFmax of each AOI was analyzed. After staining and cross-sectioning of the teeth, histological dye penetration was scored on a scale of 0 to 3. The relationship between ΔFmax and microleakage depth was analyzed, and the areas under the curve (AUCs) were calculated. The │ΔFmax│ increased as microleakage depth increased. The ΔFmax values of microleakage areas showed a strong significant correlation with the histological scores of dye penetration (r = − 0.72, P = 0.001). AUC analysis showed a high diagnostic accuracy for microleakage depth (AUC = 0.83–0.91). The highest AUC of 0.91 was found when differentiating the outer half microleakage of the sealant (histological score 0 vs. 1–3). QLF technology is effective in assessing the presence and severity of microleakage, suggesting its potential for noninvasive detection and monitoring of sealant microleakage in clinical settings.

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Distinguishing discolored caries lesions using biofluorescence and dental bleaching: An in vitro simulation model study

Lee,

Jung

et al. 2024

Photodiagnosis and Photodynamic Therapy

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Noninvasive detection of microleakage in all-ceramic crowns using quantitative light-induced fluorescence technology

Cited by 5 publications

References 5 publications

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Effect of industrial scanner and framework material interaction on the marginal gaps of CAD-CAM complete arch implant frameworks

Detection of pit and fissure sealant microleakage using quantitative light-induced fluorescence technology: an in vitro study

Distinguishing discolored caries lesions using biofluorescence and dental bleaching: An in vitro simulation model study

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