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

Jung, Eun Ha; Lee, Eun Song; Jung, Hoi In; Kang, Si Mook; Jong, Elbert de Josselin de; Kim, Baek Il

doi:10.1016/j.pdpdt.2017.10.027

Cited by 34 publications

(23 citation statements)

References 35 publications

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“…The novelty in this paper lies in the development of a fluorescence-based caries scoring system for an intraoral scanner, which excites and receives fluorescence signals emitted from the hard dental tissues. This system detects caries lesions based on changes in the optical properties of the dental hard tissues using a method similar to the well-documented quantitative light-induced fluorescence (QLF) [Pretty, 2006;Karlsson, 2010;Jung et al, 2018]. When the sound tooth surface is illuminated with violet/blue light, part of the light is absorbed by fluorophores present in enamel and dentin, and reemitted at a longer wavelength as green fluorescent light [Monici, 2005].…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, metabolites from the cariogenic bacteria, that is, porphyrins, emit red fluorescence when excited with violet/blue light [Borisova et al, 2006;Kim and Kim, 2017]. By analyzing the fluorescence signal and the ratio change between red and green fluorescence from the hard dental tissues, information about the presence and progression of caries lesions can be gained [Borisova et al, 2006;Thoms, 2006;Jablonski-Momeni et al, 2011b;Chen et al, 2015;Jung et al, 2018].…”

Section: Introductionmentioning

confidence: 99%

“…Several devices employing QLF (e.g., QLF TM imaging devices) show promising in vitro and in vivo performance for the detection of initial occlusal caries lesions [Pretty, 2006;Pretty and Ekstrand, 2016;Jung et al, 2018] with improved sensitivity (SE) and specificity (SP) compared to state-of-the-art caries detection methods [Pretty and Ekstrand, 2016]. This is of high clinical significance as it can potentially facilitate the implementation of preventive measures to stop the progression of the disease at an early stage using minimal or noninvasive approaches.…”

Section: Introductionmentioning

confidence: 99%

“…These devices employ different mathematical functions to quantify the fluorescence signal intensity obtained from teeth and bacterial metabolites via a caries score. The most well-documented software accompanies the QLF TM imaging devices; this software provides caries scores based on the loss of fluorescence from the demineralized hard dental tissues compared to their sound neighboring tissues [Kühnisch et al, 2006;Jung et al, 2018] as well as the red-to-green fluorescence ratio change [Jung et al, 2018]. Despite the excellent performance of QLF TM imaging devices, strongly supported by the literature, these systems have not seen wide adoption in everyday clinical practice, but are rather more prevalently used in research.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Fluorescence-Based Caries Scoring System for an Intraoral Scanner: An in vitro Study

et al. 2020

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Objectives: To develop an automated fluorescence-based caries scoring system for an intraoral scanner and totest the performance of the system compared to state-of-the-art methods. Methods: Seventy-three permanent posterior teeth were scanned with a three-dimensional (3D) intraoral scanner prototype which emitted light at 415 nm. An overlay representing the fluorescence signal from the tissue was mapped onto 3D models of the teeth. Multiple examination sites (n = 139) on the occlusal surfaces were chosen, and their red and green fluorescence signal components were extracted. These components were used to calculate 4 mathematical functions upon which a caries scoring system for the scanner prototype could be based. Visual-tactile (International Caries Detection and Assessment System, ICDAS), radiographic (ICDAS), and histological assessments were conducted on the same examination sites. Results: Most index tests showed significant correlation with histology. The strongest correlation was observed for the visual-tactile examination (rs = 0.80) followed by the scanner supported by the caries classification function that quantifies the overall fluorescence compared to sound surfaces (rs = 0.78). Additionally, this function resulted in the highest intra-examiner reliability (κ = 0.964), and the highest sum of sensitivity (SE) and specificity (SP) (sum SE-SP: 1.60–1.84) at the 2 histological levels where the comparison with visual-tactile assessment was possible (κ = 0.886, sum SE-SP = 1.57–1.81) and at the 3 out of 4 histological levels where the comparison with radiographic assessment was possible (κ = 0.911, sum SE-SP = 1.37–1.78); the only exception was for the lesions in the outer third of dentin, where the radiographic assessment showed the highest sum SE-SP (1.78). Conclusion: A fluorescence-based caries scoring system was developed for the intraoral scanner showing promising performance compared to state-of-the-art caries detection methods. The intraoral scanner accompanied by an automated caries scoring system may improve objective caries detection and increase the efficiency and effectiveness of oral examinations. Furthermore, this device has the potential to support reliable monitoring of early caries lesions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Development of a Fluorescence-Based Caries Scoring System for an Intraoral Scanner: An in vitro Study

et al. 2020

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“…Since Akasaki et al first developed the blue LED [13] it has been used not only for display purposes but also in various medical fields [14][15][16][17]. Blue LEDs are used in dentistry for detecting early caries lesion [18] and matured dental plaque based on autofluorescence [19]. The PS currently used for PDT in clinical practice involves irradiation at a wavelength longer than 600 nm [20].…”

Section: Discussionmentioning

confidence: 99%

Susceptibility of oral bacteria to antibacterial photodynamic therapy

Kang

Jung

Kim

2019

Journal of Oral Microbiology

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Effective methods for managing the oral microbiome are necessary to ensure not only the oral but also the systemic health of a human body. The purpose of this study was to determine the sensitivity of four photosensitizers (PSs) to blue light in six representative oral bacterial species that cause intraoral diseases. The following six strains were investigated: Actinomyces israelii , Enterococcus faecium , Fusobacterium nucleatum , Lactobacillus gasseri , Streptococcus mutans, Veillonella parvula . PS stock solutions (1 mg/ml) were prepared by dissolving curcumin and protoporphyrin-IX in dimethyl sulfoxide, and resazurin and riboflavin in distilled water. The inoculation of 20 ml of a bacterial suspension cultured for 24 hours was mixed with 1,980 ml of each test solution, and then a light source was placed in front of the mixture. The irradiation wavelength was 405 nm and its applied energy was 25.3 J. The independent-samples t -test and one-way analysis of variance within groups were performed to compare the antibacterial effects in the four PSs. The antibacterial susceptibility when using different PSs and visible blue-light irradiation differed between the bacterial strains. Antibacterial photodynamic therapy that includes light exposure and PSs can be used to control the oral bacteria strains related to oral disease.

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