Longitudinal Analyses of Early Lesions by Fluorescence

Zandoná, Andréa Ferreira; Ando, Masahiro; Gomez, Grace F.; Garcia-Corretjer, M.; Eckert, George J.; Santiago, Elvis; Katz, Barry P.; Zero, Domenick T.

doi:10.1177/0022034513490167

Cited by 26 publications

(15 citation statements)

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“…This scenario may improve as sequencing and other high-throughput techniques decrease in cost, which will result in improved resolution power. Likewise, efficient risk assessment for individuals and specific vulnerable populations may requires longitudinal approaches [83], which is key to identify valid biomarkers of disease in real time (pre and post disease) [130, 131]. In this regard, the use of larger cohorts, in combination with longitudinal sampling, has revealed the corresponding weight shared environment and genetics have on the early oral microbiome[46].…”

Section: Challenges: Techniques Analyses Biomarker Discovery and mentioning

confidence: 99%

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

2016

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In the era of applied meta-omics and personalized medicine, the oral microbiome is a valuable asset. From biomarker discovery to being a powerful source of therapeutic targets, and to presenting an opportunity for developing non-invasive approaches to health care, it has become clear that oral microbes may hold the answer for understanding disease, even beyond the oral cavity. Although our understanding of oral microbiome diversity has come a long way in the past 50 years, there are still many areas that need to be fine-tuned for better risk assessment and diagnosis, especially in early developmental stages of human life. Here, we discuss the factors that impact development of the oral microbiome, and explore oral markers of disease, with a focus on the early oral cavity. Our ultimate goal is to put different experimental and methodological views into perspective for better assessment of early oral and systemic disease at an early age, and discuss how oral microbiomes- at the community level, could provide improved assessment in individuals, and populations at risk.

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Section: Challenges: Techniques Analyses Biomarker Discovery and mentioning

confidence: 99%

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

2016

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“…It is known that not all early lesions progress to cavitation [Dirks, 1966]. Our study in this population also demonstrated that lesions with rapid changes in QLF parameters like area, depth and volume of the lesion progressed to cavitation [Ferreira Zandona et al, 2013]. Identifying lesions that are likely to progress to cavitation can have a great impact on how dentistry is practiced and how the caries paradigm shift towards the non-surgical management of dental caries can be implemented.…”

Section: Discussionmentioning

confidence: 52%

“…This is a retrospective study based on the images captured during a longitudinal study previously published [Ferreira Zandona et al, 2013]. Detailed information of participant selection, sample size calculation, examinations conducted and the analyses of fluorescence in QLF images were previously published [Ferreira Zandona et al, 2013; Ferreira Zandona et al, 2010; Ferreira Zandona et al, 2012; Fontana et al, 2011].…”

Section: Study Participants and Methodsmentioning

confidence: 99%

“…Detailed information of participant selection, sample size calculation, examinations conducted and the analyses of fluorescence in QLF images were previously published [Ferreira Zandona et al, 2013; Ferreira Zandona et al, 2010; Ferreira Zandona et al, 2012; Fontana et al, 2011]. In summary, in January 2007 children (N = 565) aged 5 to 13 years from kindergarten to 9 th grade enrolled in public schools from the area of Aguas Buenas, Puerto Rico were recruited into the study.…”

Section: Study Participants and Methodsmentioning

confidence: 99%

“…Surfaces (N=224) that progressed to cavitation according to ICDAS (ICDAS 0/1/2/3/4 to 5/6 or filling) and surfaces that did not progress (N=486) were included. [Ferreira Zandona et al, 2013]. The Plaque Wizard patch of QA2 of QLF D Biluminator was used to analyze the images obtained from Inspektor ™ QLF Pro.…”

Section: Orange/red Fluorescence Analysesmentioning

confidence: 99%

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Orange/Red Fluorescence of Active Caries by Retrospective Quantitative Light-Induced Fluorescence Image Analysis

2016

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This retrospective clinical study determined the association of caries activity and orange/red fluorescence on quantitative light-induced fluorescence (QLF) images of surfaces that progressed to cavitation, as determined by clinical visual examination. A random sample of QLF images from 565 children (5-13 years) previously enrolled in a longitudinal study was selected. Buccal, lingual and occlusal surface images obtained after professional brushing at baseline and every 4 months over a 4-year period were analyzed for red fluorescence. Surfaces that progressed (n = 224) to cavitation according to the International Caries Detection and Assessment System (ICDAS 0/1/2/3/4 to 5/6 or filling), and surfaces that did not progress (n = 486) were included. QA2 image analysis software outputs the percentage increase of the red/green components as ΔR and area of ΔR (areaΔR) at different thresholds. Mixed-model ANOVA was used to compare progressive and nonprogressive surfaces to account for correlations of red fluorescence (ΔR and areaΔR) between surfaces within a subject. The first analysis used the first observation for each surface or the first available visit if the surface was unerupted (baseline), while the second analysis used the last observation prior to cavitation for surfaces that progressed and the last observation for surfaces that did not progress (final). There was a significant (p < 0.05) association between red fluorescence and progression to cavitation at thresholds ΔR0, ΔR10, ΔR20, ΔR60, ΔR70, ΔR80, ΔR90 and ΔRmax at baseline and for ΔR0 and ΔR10 at the final observation. Quantification of orange/red fluorescence may help to identify lesions that progress to cavitation. Future studies identifying microbiological factors causing orange/ red fluorescence and its caries activity are indicated.

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Quantitative Light-Induced Fluorescence

Kim

2019

Detection and Assessment of Dental Caries

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Longitudinal Analyses of Early Lesions by Fluorescence

Cited by 26 publications

References 24 publications

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

The Oral Microbiome of Children: Development, Disease, and Implications Beyond Oral Health

Orange/Red Fluorescence of Active Caries by Retrospective Quantitative Light-Induced Fluorescence Image Analysis

Quantitative Light-Induced Fluorescence

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