An in vitro Comparison of a Combined FOTI/Visual Examination of Occlusal Caries with Other Caries Diagnostic Methods and the Effect of Stain on Their Diagnostic Performance

2003 ◽  
Vol 37 (1) ◽  
pp. 8-16 ◽  
Author(s):  
D.F. Côrtes ◽  
R.P. Ellwood ◽  
K.R. Ekstrand
Keyword(s):  
Diagnostic Performance ◽  
Diagnostic Methods ◽  
Visual Examination ◽  
Occlusal Caries ◽  
In Vitro Comparison

scholarly journals Automated Caries Detection using a 3D Intraoral Scanner. An in Vivo Validation Study

2021 ◽  
Author(s):  
Stavroula Michou ◽  
Mathias S. Lambach ◽  
Panagiotis Ntovas ◽  
Ana R. Benetti ◽  
Azam Bakhshandeh ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Periodontal Diseases ◽  
Caries Detection ◽  
Oral Diseases ◽  
Visual Examination ◽  
Occlusal Caries ◽  
Tooth Color ◽  
Occlusal Caries Detection

Abstract The use of 3D intraoral scanners (IOS) and software that can support automated detection and objective monitoring of oral diseases such as caries, tooth wear or periodontal diseases is increasingly receiving attention from researchers and industry. This study clinically validates an automated caries scoring system for occlusal caries detection and classification, previously developed for an IOS system featuring fluorescence (TRIOS 4, 3Shape TRIOS A/S, Denmark). Four algorithms (ALG1, ALG2, ALG3, ALG4) are assessed for the IOS; the first three are based only on fluorescence information, while ALG4 also takes into account the tooth color information. The diagnostic performance of these automated algorithms is compared with the diagnostic performance of the clinical visual examination, while histological assessment is used as reference. Additionally, possible differences between in vitro and in vivo diagnostic performance of the IOS system are investigated. The algorithms show comparable in vivo diagnostic performance to the visual examination. Only minor differences between their in vitro and in vivo diagnostic performance are noted. This novel IOS system exhibits encouraging performance for clinical application on occlusal caries detection and classification. Different approaches can be investigated for possible optimization of the system.

scholarly journals Automated caries detection in vivo using a 3D intraoral scanner

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Stavroula Michou ◽  
Mathias S. Lambach ◽  
Panagiotis Ntovas ◽  
Ana R. Benetti ◽  
Azam Bakhshandeh ◽  
...  
Keyword(s):  
Diagnostic Performance ◽  
Periodontal Diseases ◽  
Roc Curves ◽  
Caries Detection ◽  
Visual Examination ◽  
Occlusal Caries ◽  
Occlusal Caries Detection ◽  
Significant Difference

AbstractThe use of 3D intraoral scanners (IOS) and software that can support automated detection and objective monitoring of oral diseases such as caries, tooth wear or periodontal diseases, is increasingly receiving attention from researchers and industry. This study clinically validates an automated caries scoring system for occlusal caries detection and classification, previously defined for an IOS system featuring fluorescence (TRIOS 4, 3Shape TRIOS A/S, Denmark). Four algorithms (ALG1, ALG2, ALG3, ALG4) are assessed for the IOS; the first three are based only on fluorescence information, while ALG4 also takes into account the tooth color information. The diagnostic performance of these automated algorithms is compared with the diagnostic performance of the clinical visual examination, while histological assessment is used as reference. Additionally, possible differences between in vitro and in vivo diagnostic performance of the IOS system are investigated. The algorithms show comparable in vivo diagnostic performance to the visual examination with no significant difference in the area under the ROC curves ($$p>0.05$$ p > 0.05 ). Only minor differences between their in vitro and in vivo diagnostic performance are noted but no significant differences in the area under the ROC curves, ($$p>0.05$$ p > 0.05 ). This novel IOS system exhibits encouraging performance for clinical application on occlusal caries detection and classification. Different approaches can be investigated for possible optimization of the system.

Combined validity of DIAGNOdent™ and visual examination for in vitro detection of occlusal caries in primary molars

2011 ◽  
Vol 27 (2) ◽  
pp. 313-319 ◽  
Author(s):  
Katerina Kavvadia ◽  
Panagiotis Lagouvardos ◽  
Daphne Apostolopoulou
Keyword(s):  
Primary Molars ◽  
Visual Examination ◽  
Occlusal Caries

An in vitro Comparison between Laser Fluorescence and Visual Examination for Detection of Demineralization in Occlusal Pits and Fissures

1998 ◽  
Vol 32 (3) ◽  
pp. 210-218 ◽  
Author(s):  
A. G. Ferreira Zandoná ◽  
M. Analoui ◽  
B. B. Beiswanger ◽  
R. L. Isaacs ◽  
A. H. Kafrawy ◽  
...  
Keyword(s):  
Laser Fluorescence ◽  
Visual Examination ◽  
Pits And Fissures ◽  
In Vitro Comparison

scholarly journals Comparison of novel and established caries diagnostic methods: a clinical study on occlusal surfaces

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Friederike Litzenburger ◽  
Gerrit Schäfer ◽  
Reinhard Hickel ◽  
Jan Kühnisch ◽  
Katrin Heck
Keyword(s):  
Diagnostic Performance ◽  
Diagnostic Methods ◽  
Laser Fluorescence ◽  
The Other ◽  
Caries Detection ◽  
Reference Standard ◽  
Occlusal Caries ◽  
Enamel Caries ◽  
Dentin Caries ◽  
Occlusal Caries Detection

Abstract Background The purpose of this prospective clinical diagnostic study with validation was to compare the diagnostic accuracy of near-infrared transillumination (NIRT), laser fluorescence measurement (LF), alternating current impedance spectroscopy (ACIS) and their combinations as adjunct methods to visual examination (VE) for occlusal caries detection using a hybrid reference standard. Methods Ninety-six first and second non-cavitated permanent molars from 76 individuals (mean age 24.2) were investigated using (VE) (ICDAS) and bitewing radiography (BWR), as well as NIRT, LF and ACIS. The findings of BWR and NIRT were evaluated by two examiners while the other examinations were conducted by one calibrated dentist. The hybrid reference standard consisted of non-operative validation based on the results of VE and BWR and operative validation. Statistical analysis included cross-tabulations, calculation of sensitivity, specificity and area under the receiver operating characteristic curve at three diagnostic thresholds: caries in general, enamel caries and dentin caries. Results NIRT, LF and ACIS exhibited high sensitivity for caries in general [1.00 (1.00–1.00), 0.77 (0.65–0.88), 0.75 (0.63–0.87)) and for dentin caries (0.97 (0.91–1.03), 0.76 (0.76–0.90), 0.64 (0.47–0.80)]. Sensitivity values for enamel caries were weak (0.21, 0.11, 0.37). Specificity values did not fall below 0.65 (NIRT) for all categories and methods, except for NIRT at the caries detection threshold (0.27). A combination of LF and ACIS with VE improved the diagnostic performance at the overall and the enamel caries threshold. The other methods showed fair to excellent discrimination at the overall caries threshold (NIRT 0.64, LF 0.89 and ACIS 0.86) and acceptable discrimination at the dentin caries threshold (NIRT 0.82, LF 0.81 and ACIS 0.79). AUROC for enamel caries exhibited the weakest discrimination. Accuracy was 65.6% for VE, 69.8% for BWR, 50.0% for NIRT, 53.1% for LF and 74.0% for ACIS. Reliability assessment for BWR and NIRT showed at least substantial agreements for all analyses. Conclusions The methods, NIRT, LF and ACIS, revealed different potential but no impeccable performance for occlusal caries detection. All are suitable instruments to detect hidden carious lesion in dentin. As auxiliaries to VE, LF and ACIS showed an increase in diagnostic performance.

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