Objectives: The objective of this laboratory-based study was to evaluate the ability of SoproLIFE for early detection of non-cavitated coronal caries, and to validate the findings using visual and radiographic assessments. Methods: 56 freshly extracted teeth with or without coronal carious lesions were collected and cleaned using a rotating prophylactic brush (UnoDent, Essex, England) and non-fluoridated paste (Nupro, Dentsply USA). 74 regions of interest (ROI) were identified and examined using SoproLIFE, visual examination (ICDAS), and digital radiography. Visual examination and radiographic information were used to classify each ROI according to the ICCMS™ Caries merged categories as a gold standard. Images of each ROI were taken by using Light-Induced Fluorescence cameraSoproLIFE (SOPRO, ACTEON Group, La Ciotat, France) with diagnostic mode-I and were subsequently assessed. SoproLIFE specificity and sensitivity were calculated at SoundCRand DentineCRlevels. ICDAS inter and intra reproducibility was calculated using Cohen’s Kappa (κ). p value 0.05 was accepted as statistically significant. Results: The Inter and Intra-examiner’s reproducibility for ICDAS showed a moderate agreement (0.52) and (0.58) respectively. At the SoundCR (considered all enamel and dentine lesion as caries)the sensitivity and specificity for the SoproLIFE were 90.0%, 95.8%, respectively. A low proportion of teeth with carious lesions (at SoundCRlevel) were classified as caries-free with SoproLIFE (false negative = 10%)whilst high positive predictive value was 97%. Conclusions: ICDAS in conjunction with SoproLIFE can be used to detect non-cavitated coronal caries. SoproLIFE can also be considered as a reliable assessment tool in addition to visual assessment of early noncavitated carious lesions.
IADR/AADR/CADR General Session
2020 IADR/AADR/CADR General Session (Washington, D.C., USA) Washington, D.C., USA
2020 1227 Cariology Research-Detection, Risk Assessment & Others
Alkahtani, Ashwaq
( Queen Mary University of London
, London
, United Kingdom
)
Anderson, Paul
( Queen Mary University of London
, London
, United Kingdom
)
Baysan, Aylin
( Queen Mary University of London
, London
, United Kingdom
)
none
Poster Session
Detection, Risk Assessment & Others I