Detection of proximal caries using quantitative light-induced fluorescence-digital and laser fluorescence: a comparative study
The Journal of Advanced Prosthodontics
;
: 432-438, 2017.
Article
Dans Anglais
| WPRIM
| ID: wpr-159617
ABSTRACT
PURPOSE:
The purpose of this study was to evaluate the in vitro validity of quantitative light-induced fluorescence-digital (QLF-D) and laser fluorescence (DIAGNOdent) for assessing proximal caries in extracted premolars, using digital radiography as reference method. MATERIALS ANDMETHODS:
A total of 102 extracted premolars with similar lengths and shapes were used. A single operator conducted all the examinations using three different detection methods (bitewing radiography, QLF-D, and DIAGNOdent). The bitewing x-ray scale, QLF-D fluorescence loss (ΔF), and DIAGNOdent peak readings were compared and statistically analyzed.RESULTS:
Each method showed an excellent reliability. The correlation coefficient between bitewing radiography and QLF-D, DIAGNOdent were −0.644 and 0.448, respectively, while the value between QLF-D and DIAGNOdent was −0.382. The kappa statistics for bitewing radiography and QLF-D had a higher diagnosis consensus than those for bitewing radiography and DIAGNOdent. The QLF-D was moderately to highly accurate (AUC = 0.753 – 0.908), while DIAGNOdent was moderately to less accurate (AUC = 0.622 – 0.784). All detection methods showed statistically significant correlation and high correlation between the bitewing radiography and QLF-D.CONCLUSION:
QLF-D was found to be a valid and reliable alternative diagnostic method to digital bitewing radiography for in vitro detection of proximal caries.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Lecture
/
Prémolaire
/
Techniques in vitro
/
Radiographie
/
Amélioration d'image radiographique
/
Radiographie rétrocoronaire
/
Consensus
/
Diagnostic
/
Fluorescence
/
Méthodes
Type d'étude:
Etude diagnostique
/
Guide de pratique
langue:
Anglais
Texte intégral:
The Journal of Advanced Prosthodontics
Année:
2017
Type:
Article
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