Quantitative light-induced fluorescence (QLF): A tool for early occlusal dental caries detection and supporting decision making in vivo

This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actu...

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Published inJournal of dentistry Vol. 41; no. 2; pp. 127 - 132
Main Authors Alammari, M.R., Smith, P.W., de Josselin de Jong, E., Higham, S.M.
Format Journal Article
LanguageEnglish
Published England Elsevier Ltd 01.02.2013
Elsevier Limited
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Online AccessGet full text
ISSN0300-5712
1879-176X
1879-176X
DOI10.1016/j.jdent.2012.08.013

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Abstract This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management. Following ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently. The results showed statistically significant differences between the two treatment groups ΔF (p=0.002) (mean 22.60 – F/P and 28.80 – Rest.) and ΔQ (p=0.012) (mean 230.49 – F/P and 348.30 – Rest.). ΔF and ΔQ values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries. QLF has the potential to be a valuable tool for caries diagnosis in clinical practice.
AbstractList Abstract Objectives This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters Δ F and Δ Q were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management. Methods Following ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently. Results The results showed statistically significant differences between the two treatment groups Δ F ( p = 0.002) (mean 22.60 – F/P and 28.80 – Rest.) and Δ Q ( p = 0.012) (mean 230.49 – F/P and 348.30 – Rest.). Conclusions Δ F and Δ Q values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries. Clinical significance QLF has the potential to be a valuable tool for caries diagnosis in clinical practice.
This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management. Following ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently. The results showed statistically significant differences between the two treatment groups ΔF (p=0.002) (mean 22.60 - F/P and 28.80 - Rest.) and ΔQ (p=0.012) (mean 230.49 - F/P and 348.30 - Rest.). ΔF and ΔQ values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries. QLF has the potential to be a valuable tool for caries diagnosis in clinical practice.
This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management.OBJECTIVESThis study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management.Following ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently.METHODSFollowing ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently.The results showed statistically significant differences between the two treatment groups ΔF (p=0.002) (mean 22.60 - F/P and 28.80 - Rest.) and ΔQ (p=0.012) (mean 230.49 - F/P and 348.30 - Rest.).RESULTSThe results showed statistically significant differences between the two treatment groups ΔF (p=0.002) (mean 22.60 - F/P and 28.80 - Rest.) and ΔQ (p=0.012) (mean 230.49 - F/P and 348.30 - Rest.).ΔF and ΔQ values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries.CONCLUSIONSΔF and ΔQ values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries.QLF has the potential to be a valuable tool for caries diagnosis in clinical practice.CLINICAL SIGNIFICANCEQLF has the potential to be a valuable tool for caries diagnosis in clinical practice.
This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF and ΔQ were appropriate for aiding diagnosis and clinical decision making of early occlusal mineral loss by comparing QLF analysis with actual restorative management. Following ethical approval, 46 subjects attending a dental teaching hospital were enrolled. White light digital (WL) and QLF images/analyses of 46 unrestored posterior teeth with suspected occlusal caries were made after a clinical decision had already been taken to explore fissures operatively. WL and QLF imaging/analysis were repeated after initial cavity preparation. The type of restorative treatment was determined by the supervising clinician independent of any imaging performed. Actual restorative management carried out was recorded as fissure sealant/preventive resin restoration (F/P) or class I occlusal restoration (Rest.) thus reflecting the extent of intervention (=gold standard). All QLF images were analysed independently. The results showed statistically significant differences between the two treatment groups ΔF (p =0.002) (mean 22.60 - F/P and 28.80 - Rest.) and ΔQ (p =0.012) (mean 230.49 - F/P and 348.30 - Rest.). ΔF and ΔQ values may be useful in aiding clinical diagnosis and decision making in relation to the management of early mineral loss and restorative intervention of occlusal caries. QLF has the potential to be a valuable tool for caries diagnosis in clinical practice.
Author Alammari, M.R.
Higham, S.M.
Smith, P.W.
de Josselin de Jong, E.
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Issue 2
Keywords In vivo
Caries
Fluorescence
Occlusal
QLF
Diagnosis
Detection
Language English
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Snippet This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine whether QLF parameters ΔF...
Abstract Objectives This study reports the development and assessment of a novel method using quantitative light-induced fluorescence (QLF), to determine...
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StartPage 127
SubjectTerms Adolescent
Adult
Aged
Caries
Decision Making
Decision Support Techniques
Dental caries
Dental Caries - diagnosis
Dental Caries - therapy
Dental Cavity Preparation - methods
Dental Fissures - diagnosis
Dental Fissures - therapy
Dental Restoration, Permanent - classification
Dental Restoration, Permanent - methods
Dentistry
Detection
Diagnosis
Early Diagnosis
Enamel
Fluorescence
Humans
In vivo
Light
Middle Aged
Occlusal
Patient Care Planning
Pit and Fissure Sealants - therapeutic use
QLF
Studies
Tooth Demineralization - diagnosis
Tooth Demineralization - therapy
Young Adult
Title Quantitative light-induced fluorescence (QLF): A tool for early occlusal dental caries detection and supporting decision making in vivo
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https://www.ncbi.nlm.nih.gov/pubmed/22940557
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