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 in | Journal of dentistry Vol. 41; no. 2; pp. 127 - 132 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Elsevier Ltd
01.02.2013
Elsevier Limited |
Subjects | |
Online Access | Get full text |
ISSN | 0300-5712 1879-176X 1879-176X |
DOI | 10.1016/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. |
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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. |
Author_xml | – sequence: 1 givenname: M.R. surname: Alammari fullname: Alammari, M.R. email: malammari@kau.edu.sa organization: Department of Health Services Research and School of Dentistry, University of Liverpool, Liverpool, United Kingdom – sequence: 2 givenname: P.W. surname: Smith fullname: Smith, P.W. organization: Department of Health Services Research and School of Dentistry, University of Liverpool, Liverpool, United Kingdom – sequence: 3 givenname: E. surname: de Josselin de Jong fullname: de Josselin de Jong, E. organization: Department of Health Services Research and School of Dentistry, University of Liverpool, Liverpool, United Kingdom – sequence: 4 givenname: S.M. surname: Higham fullname: Higham, S.M. organization: Department of Health Services Research and School of Dentistry, University of Liverpool, Liverpool, United Kingdom |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22940557$$D View this record in MEDLINE/PubMed |
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Keywords | In vivo Caries Fluorescence Occlusal QLF Diagnosis Detection |
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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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