Occlusal caries detection and monitoring using a 3D intraoral scanner system. An in vivo assessment.

OBJECTIVE: To assess the agreement in detecting and monitoring occlusal caries over thirty months using conventional visual and radiographic assessment and an intraoral scanner system which supports automated caries scoring. METHODS: Ninety-one young participants aged 12-19 years were included in the study. All occlusal surfaces were examined visually, radiographically (when indicated), and scanned with the TRIOS 4 intraoral scanner. TRIOS Patient Monitoring software (vers. 2.3, 3Shape TRIOS A/S, Denmark) was used for automated caries detection on the 3D digital models. RESULTS: Fifty-five of the study participants were re-examined after 30-months. Significant differences regarding caries detection were found between the conventional methods and the automated caries scoring system (p < 0.01), with moderate positive percent agreement (49-61%) and high negative percent agreement (87-98%). All methods reported significant caries progression over the follow-up period (p < 0.01). However, the automated system showed significantly more caries progression than the other methods (p < 0.01). CONCLUSIONS: The software for automated caries detection and classification showed moderate positive agreement and strong negative agreement with the conventional methods considering both the baseline and the follow-up assessments. The automated caries scoring system detected significantly fewer caries lesions and tended to underestimate the caries severity. All methods indicated significant caries progression over the follow-up period, while the automated system detected more caries progression. CLINICAL SIGNIFICANCE: The TRIOS system supporting automated occlusal caries detection and classification can assist in detecting and monitoring occlusal caries on permanent teeth as a complementary tool to the conventional methods. However, the operator should be aware that the automated system shows a tendency to underestimate the caries presence and lesion severity.

An interdisciplinary intervention program to prevent early childhood caries in the Dominican Republic.

Objective: The principal aim of this randomized clinical trial (RCT) was to test the effectiveness in the prevention of Early Childhood Caries (ECC) through an educational intervention program with the use of a printed guide for pediatricians and parents both designed by pediatric dentists. Materials and methods: After ethical approval, the first step was to design the educational guides, which were based on the information obtained from a focus group with pediatricians (n = 3), phone interviews with mothers to toddlers' (n = 7), and the best evidence available about children's oral health. For the RCT, 309 parents with their 10-12 months old children were randomly allocated to either the intervention or the control group. Parents in the intervention group received oral health education from the pediatricians supported by the printed guides. Parents in both groups received an oral health kit with a toothbrush and toothpaste at the first visit as well as at each 6-month follow-up visit. After 18 months the children were evaluated using ICDAS criteria. Results: At baseline, data were available from 309 children (49.8% girls). The mean age of the children was of 10.8 months (SD = 0.8) and 69.3% had not had their teeth brushed with toothpaste. After 18 months, a total of 28 (22%) children in the intervention group and 44 (24%) in the control group were clinically examined. Regarding the number of tooth surfaces with caries lesions, the children in the intervention group had a mean of 6.50 (SD = 6.58) surfaces, while the children in the control group had a mean of 5.43 (SD = 4.74) surfaces with caries lesions. This difference was not significant (p = 0.460). Conclusion: The RCT showed no effectiveness in caries-progression control. Despite this result, this study managed to identify barriers that do not allow pediatricians from offering parents adequate oral health recommendations. With this learning, it is possible to work on collaborative programs with pediatricians that over time likely will increase dental health by controlling for ECC.

The efficacy of combined arginine and probiotics as an add-on to 1450 ppm fluoride toothpaste to prevent and control dental caries in children - A randomized controlled trial.

OBJECTIVES: To determine how daily consumption of a lozenge combining arginine and two probiotic strains affects the Relative Risk Reduction (RRR) in children regarding dental caries transitions and lesion activity at tooth surface level during 10-12 months. METHODS: A total of 21,888 tooth surfaces in 288 children were examined. The intervention group (n = 141) received a lozenge containing 2% arginine, Lacticaseibacillus rhamnosus, LGG® (DSM33156), and Lactobacillus paracasei subsp. paracasei, L. CASEI 431® (DSM33451). The placebo group (n = 147) received a placebo lozenge. Both groups received 1,450 ppm F- toothpaste. Primary canines, molars, and first permanent molars were examined clinically (ICDAS0-6) and radiographically (R0-6) at baseline and follow-up. Sealed, filled, and missing surfaces were also included. Caries activity was computed as a sum of each caries lesion's location, color, texture, cavitation, and gingival bleeding. RRRs were computed with cluster effect on surface level. ICH-GCP was followed, including external monitoring. RESULTS: A total of 19,950 surfaces were analyzed after excluding 1,938 tooth surfaces. No statistically significant differences were found between the groups. The RRRs showed less caries progression (13.6%, p = 0.20), more regression (0.3%, p = 0.44), and fewer active caries lesions (15.3%, p = 0.15) in the intervention group. CONCLUSION: Daily consumption of a lozenge combining arginine and probiotics for 10-12 months given to 5-9-years-old children characterized being with low caries risk demonstrated a marked, though not statistically significant RRR for caries progression, regression, and number of active lesions in the intervention group compared to the placebo-group. CLINICALTRIALS: gov (NCT03928587). CLINICAL SIGNIFICANCE: Since all the RRRs were in favor of the intervention group and the PF of combined arginine and probiotics is high (81.6%) compared to fluoride toothpaste (24.9%) and arginine-fluoride toothpaste alone (19.6%) the combined pre-and probiotics approach may be a future additional tool regarding caries prevention and control.

The effect of a lozenge combining prebiotic arginine and probiotics on caries increment in children during 10-12 months, a randomized clinical trial.

OBJECTIVES: To investigate the effect of daily use of a lozenge containing arginine and probiotics for 10-12 months on caries increment, gingivitis- and plaque occurrence in children aged 5-9 years. METHODS: In this placebo-controlled, double-blinded, parallel-grouped randomized clinical trial, 343 children were randomly assigned to one of the study arms (1:1). The intervention group (n = 172) received a lozenge containing Lacticaseibacillus rhamnosus, LGG® (DSM33156), Lactobacillus paracasei subsp. paracasei, L. CASEI 431® (DSM33451) and prebiotic (arginine 2%). The placebo group (n = 171) received an identical lozenge without arginine or probiotics. Primary canines and molars, and permanent first molars were examined clinically (d/D= ICDAS1-6) and radiographically (d/D = R1-6) at baseline and follow-up. Missing (m/M), sealed (s/S), and filled (f/F) surfaces (-s/-S) in both dentitions were also included. Utilizing clinical and radiographic scorings, caries experience was classified as dICDAS1-6msf-s (primary teeth), DICDAS1-6MSF-S (permanent teeth), d/DICDAS1-6 m/M-s/S-f/F-s/S (mixed dentition). A weighted and an unweighted score system was applied. RESULTS: The study was completed by 288 children. The dropout rate was 15%. The increase in ∆mean dICDAS3-6msf-s and ∆mean d/DICDAS3-6m/M-s/S-f/F-s/S was lower in the intervention group (p = 0.007). No differences were found for gingivitis- and plaque occurrence. No product-related side effects were reported. This study followed ICH-GCP including external monitoring. CONCLUSION: Daily consumption of a lozenge containing prebiotic arginine and two strains of probiotics showed safe use and statistically significantly reduction in caries incrementbut no effect on the mean plaque or gingivitis occurrence in children. The use of a lozenge with arginine and probiotics combined has a promising potential as a supplementary tool for future management of caries. www. CLINICALTRIALS: gov (NCT03928587). CLINICAL SIGNIFICANCE: The combination of prebiotic arginine and probiotics shows clinical potential as a supplementary approach to toothbrushing with fluoride toothpaste in managing caries increment in children. A new era in the management of caries may be emerging.

Secondary Caries Detection and Treatment Decision according to Two Criteria and the Impact of a Three-Dimensional Intraoral Scanner on Gap Evaluation.

This study aimed to evaluate the in vitro performance in detecting caries around composite restorations in permanent posterior teeth and the impact of treatment decisions of two visual criteria: International Dental Federation (FDI) criteria and the Caries Associated with Restorations and Sealants (CARS) system. The correlation among secondary caries and the presence of gap measured with a three-dimensional (3D) intraoral scanner was also aimed. One hundred sixteen teeth were assessed by a trained and calibrated examiner according to the FDI criteria or CARS system. A second examiner measured the gap on the 3D models using specific software. The reference standard was the histological examination performed by a third examiner blind to the other evaluations. Other 30 extracted permanent teeth were used only to assess the reproducibility of the methods. The same random sample was selected for re-examination by all three methods, and there were 7 days between the examinations. Unweighted and weighted kappa tests were conducted to assess intra-examiner reproducibility. Spearman's correlation coefficient (Rho) and 95% confidence intervals (95% CI) were calculated between the histological examination and scores obtained with FDI criteria, CARS system, and treatment decisions. Spearman's correlation between the visual and scanner evaluation with the reference standard was performed. Spearman's rank correlation analyses were conducted independently between the gap evaluated and measured by the visual inspection with the gap assessed using the scanner. The reproducibility of the visual score systems reached high values. Spearman's correlation coefficients (Rho; 95% CI) between the following variables versus histology were the FDI presence of caries (0.65; 0.53-0.74); CARS scores (0.65; 0.52-0.74); FDI treatment decision (0.46; 0.31-0.59); and CARS treatment decision (0.62; 0.49-0.72). Rho (95% CI) between histology and the gap assessment by the visual inspection was 0.59 (0.45-0.70), the gap measurement by the visual inspection was 0.49 (0.33-0.62), and the gap measured by the scanner was 0.37 (0.18-0.53). Both visual criteria present similar performance in detecting caries. The correlation among treatment decisions is moderate for the FDI and CARS criteria, and both are moderately correlated with lesion depth, with a slight CARS superiority. However, visual examination presents better performance than the 3D intraoral scanner on gap size assessment.

How do dental practitioners, educators and students diagnose and manage caries risk and caries lesions? A COM-B analysis.

OBJECTIVE: The International Caries Classification and Management System (ICCMS™), a comprehensive, evidence-informed, best clinical practice system, comprises a 4D cycle: 1D-Determine risk; 2D-Detect and assess lesions; 3D-Decide on a personalized care plan; and 4D-Do preventive and tooth-preserving care. The aim of this study was to establish how Colombian dental practitioners, educators and students diagnose and manage caries risk and caries lesions using the COM-B model and the ICCMS™ system. METHODS: A total of 1094 participants (practitioners: n = 277; educators: n = 212; students: n = 605) completed a previously validated 79-item questionnaire which explores, based on the COM-B model, the practitioners' self-reported caries diagnosis and management behaviours. Descriptive statistics, Welch's ANOVAs and multiple linear regressions were computed. RESULTS: All groups generally performed the behaviours within the 4-D categories 'Most of the time' to 'Always' (students: 4.06 ± 0.95; educators: 3.94 ± 0.98; practitioners: 3.86 ± 1.01). The most frequently performed diagnosis behaviours (1D/2D) were for practitioners assessing initial/moderate lesions (4.09 ± 1.01) and for educators and students cleaning teeth before lesion assessment (4.41 ± 0.80 and 4.38 ± 0.77 respectively). The least frequently performed decision/management (3D/4D) behaviour was non-operative care for moderate-caries lesions (when applicable) (practitioners: 2.64 ± 1.23; educators: 2.68 ± 1.17; students: 3.22 ± 1.41). Opportunity (Resources and Relevance) was the best COM-B predictor for diagnostic behaviours, whereas capability and opportunity (Relevance) were the strongest predictors for management behaviours. CONCLUSION: Colombian practitioners, educators and students diagnose and manage caries risk and caries lesions implementing best practice with a high to very high frequency.

Additional information of bitewings to first time clinical examination of caries and restoration status in permanent dentition.

OBJECTIVES: Identifying additional information obtained by X-rays combined with clinical examination concerning primary caries, caries adjacent to restorations and quality of restorations. MATERIAL AND METHODS: A total of 240 adult patients, equally distributed in gender and six age-groups, were randomly selected from an original study population of 4,402 subjects (DANHES). Clinical and radiographical registrations on occlusal and approximal surfaces in posterior teeth were categorized into unrestored surfaces (sound/primary caries) and restored surfaces (without/with caries adjacent to restorations). Material and quality of restorations were also recorded. Chi-square and Fisher-exact tests were used for statistical analyses. RESULTS: Of potentially 11,520 surfaces, 3,015 occlusal and 5,112 approximal surfaces were analysed. Occlusal: Of 907 unrestored surfaces, 110 had primary caries and 53% were detected radiographically. A total of 183 of 2,108 restored surfaces had caries adjacent to restorations, and 99% were found radiographically. A total of 190 restorations were over/under-extended, and 89% were registered radiographically. Approximal: Of 2,649 unrestored surfaces 648 had primary caries, and 92% were registered radiographically. A total of 565 of 2,463 restored surfaces had caries adjacent to restorations, and 99% were found radiographically. A total of 638 restorations were over/under-extended, and 98% were found radiographically. For all restorations, material and depth influenced quality of restorations and incidence of caries adjacent to restorations. At least one independent variable (gender/age group/tooth-type/jaw/side/mesial-distal surface) influenced frequencies of primary caries, caries adjacent to restorations and quality of restorations. CONCLUSIONS: First-time clinical examination must be supplemented with X-rays to obtain a complete impression of caries status in posterior regions regarding diagnostics of caries, assessment of lesion depth and quality of restorations.

Clinical Accuracy of Two Different Criteria for the Detection of Caries Lesions around Restorations in Primary Teeth.

This is a delayed-type cross-sectional prospective accuracy study nested in a randomized clinical trial. The aim was to investigate the diagnostic accuracy of two visual criteria for caries lesions detection around restorations in primary teeth: the International Dental Federation (FDI) criteria, considering adaptation, staining, and the presence of caries, and the Caries Associated with Restorations and Sealants (CARS) system. For this, one examiner made the diagnosis and subsequent treatment decision using visual assessment in 163 children (3-10 years old) with both FDI and CARS criteria. The order of criteria used was defined by randomization. The reference standard was composed of two approaches: (1) the presence of carious tissue after restoration removal and (2) the presence of caries lesions after 6 and 12 months of follow-up. Sensitivity, specificity, and accuracy parameters were calculated at the dentin threshold. Poisson multilevel regression analyses were performed to evaluate the association of the diagnostic methods and other explanatory variables with the outcomes. Of the 651 restorations included, 480 were evaluated by the reference standard methods and were analyzed. The CARS system presented higher accuracy (0.721) than those obtained with FDI recurrence of caries (0.702), FDI marginal adaptation (0.700), and FDI marginal staining criteria (0.681). The FDI marginal staining showed the study's lowest sensitivity (0.280) and accuracy (0.681) values. The specificity values of FDI recurrence of caries and FDI marginal adaptation were lower than the CARS system. Restorations assessed after the follow-up period resulted in lower sensitivity but higher specificity than those replaced after initial evaluation. In conclusion, the CARS system is more accurate in detecting caries around restorations in primary teeth than the FDI system, in general. However, the FDI recurrence of caries and FDI marginal adaptation present similar performance to the CARS system when the dentin threshold is considered. On the other hand, marginal staining is not an accurate parameter to evaluate caries around restorations.

ICCMS™ root caries lesions stages and their underlying depth towards the pulp: an in vitro study with histologic evaluation.

OBJECTIVE: To examine the relationship between the ICCMS™ (International Caries Classification and Managing System) features of root caries lesions and the underlying depth of the lesion towards the pulp. In order to control for bias, the study followed the tailored document for risk of bias assessment (RoB-tool) recently published. A pilot study showed that the outline of the pulp was much clearer on horizontal compared to vertical sections through the lesions (p = 0.03) and that the histological stereomicroscopical (SM) assessed lesion depth towards the pulp was not influenced by the cutting direction (p = 0.155). MATERIAL AND METHODS: A sample of extracted permanent molar teeth (n = 100) were classified independently by two of the authors according to ICCMS™ as no sign of root caries lesion 0 = sound; 1 = initial lesion (non-cavitated); 2 = moderate lesion (cavity depth ≤ 2 mm) and 3 = extensive lesion (cavity depth > 2 mm). After horizontal sectioning (HS) through the lesion, the depth of the underlying lesion was SM assessed independently by two of the authors as 0 = no lesion; 1 = lesion in outer 1/3; 2 = middle 1/3; and 3 = inner 1/3 of the dentine towards the pulp. RESULTS: Intra- and inter-reproducibility (weighted kappa values ≥ 0.83); the accuracy (Spearman's rho-values) = 0.94 and 0.95; and specificity/sensitivities/AUC values (three different thresholds) were ≥ 0.91, ≥ 0.93, and ≥ 0.96, respectively. CONCLUSION: Under the umbrella of the RoB-tool, the validity in terms of the reproducibility and accuracy of the ICCMS™ root caries scoring system was high. CLINICAL RELEVANCE: By means of the ICCMS™ root caries scoring system, the underlying lesion depth can be estimated, which must be considered when managing the lesion.

STAndard Reporting of CAries Detection and Diagnostic Studies (STARCARDDS).

AIM: The aim of this paper is to present recommendations from an international workshop which evaluated the methodology and reporting of caries diagnostic studies. As a unique feature, this type of studies is focused on caries lesion detection and assessment, and many of them are carried out in vitro, because of the possibility of histological validation of the whole caries spectrum. This feature is not well covered in the existing reporting STARD guideline within the EQUATOR Network. PARTICIPANTS AND METHODS: An international working group of 13 cariology researchers was formed. The STARD checklist was reviewed and modified for caries detection and diagnosis purposes, in a three-step process of evaluation, consensual modification, and delivery during three 2-day workshops over 18 months. Special attention was paid to reporting requirements of caries studies that solely focus on reliability. RESULTS: The STARD checklist was modified in 14/30 items, with an emphasis on issues of sample selection (tooth selection in in vitro studies), blinding, and detailed reporting of results. CONCLUSION: Following STARCARDDS (STAndard Reporting of CAries Detection and Diagnostic Studies) is expected to result in complete reporting of study design and methodology in future caries diagnosis and detection experiments both in vivo and in vitro, thus allowing for better comparability of studies and higher quality of systematic reviews. CLINICAL RELEVANCE: Standardization of caries diagnostic studies leads to a better comparability among future studies, both in vivo and in vitro.

Intraoral scanner featuring transillumination for proximal caries detection. An in vitro validation study on permanent posterior teeth.

OBJECTIVES: To assess the validity of an intraoral scanner system featuring near-infrared (NIR) transillumination to aid the detection of proximal caries lesions, and to compare the diagnostic performance of this system with that of conventional caries detection methods and with that of an intraoral camera featuring NIR transillumination (DIAGNOcam). METHODS: Ninety-five permanent posterior teeth were examined using a prototype tip functioning with TRIOS 4 intraoral scanner system (3Shape TRIOS A/S, Denmark) and emitting NIR light, DIAGNOcam, and visual and radiographic examination employing ICDAS criteria. One or two approximal surfaces per tooth, sound or with caries lesions at different stages, were examined (N1=158). Histological assessment was used as the reference standard. RESULTS: All methods showed excellent intra-examiner reliability (κintra ≥0.80). Two independent examiners assessed the NIR images obtained with both devices. The first examiner, who obtained and assessed the images, showed improved diagnostic performance than the second examiner, who only had access to the images. The inter-examiner agreement between the two examiners assessing the NIR images was substantial (κinter 0.57-0.72). The intraoral scanner and DIAGNOcam showed similar diagnostic performance. Regarding initial caries lesions, the NIR image assessment resulted in equal or improved sensitivity (SE 0.50-0.89) compared to radiographic assessment (SE 0.49-0.51) and higher than visual examination (SE 0.28-0.39). Radiographic and NIR image assessment resulted in similar SE in detecting moderate-extensive dentin caries lesions (SE 0.59-0.70), while visual examination showed an inferior value (SE 0.30). CONCLUSIONS: The intraoral scanner system featuring NIR transillumination and DIAGNOcam showed an overall good diagnostic performance. The conventional caries detection methods showed inferior sensitivity at initial caries lesion stages. CLINICAL SIGNIFICANCE: Considering the promising diagnostic performance of the intraoral scanner featuring transillumination and the advantages offered by combining the NIR images with the 3D models of the teeth, this system has the potential to contribute towards more reliable caries detection and monitoring in clinical practice without the use of ionizing radiation.

Automated caries detection in vivo using a 3D intraoral scanner.

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 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 ([Formula: see text]). 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, ([Formula: see text]). 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.

Systematic review and meta-analysis of diagnostic studies of proximal surface caries.

AIM: This systematic review and meta-analysis aimed to assess the diagnostic accuracy and reliability of commonly used caries detection methods for proximal caries diagnostics. Visual examination (VE), bitewing radiography (BWR), laser fluorescence (LF), and fibre-optic transillumination (FOTI) were considered in detail. MATERIAL AND METHODS: PRISMA guidelines for the reporting of systematic reviews and meta-analyses were applied. The mnemonic PIRDS (problem, index test, reference test, diagnostic and study type) concept was used to guide the literature search. Next, studies that met the inclusion criteria were stepwise selected and evaluated for their quality with a risk of bias (RoB) assessment tool. Studies with low/moderate bias and sufficient reporting were considered for meta-analysis. The pooled sensitivity (SE), specificity (SP), diagnostic odds ratio (DOR), and area under the ROC curve (AUC) were calculated. RESULTS: From 129 studies meeting the selection criteria, 31 in vitro studies and five clinical studies were finally included in the meta-analysis. The AUC values for in vitro VE amounted to 0.84 (caries detection) and 0.85 (dentin caries detection). BWR ranged in vitro from 0.55 to 0.82 (caries detection) and 0.81-0.92 (dentin caries detection). LF showed higher AUC values for overall caries detection (0.91) and dentin caries detection (0.83) than did other methods. Clinical data are limited. CONCLUSION: The number of diagnostic studies with low/moderate RoB was found to be low and indicates a need for high-quality, well-designed caries diagnostic studies. CLINICAL RELEVANCE: BWR and LF showed good diagnostic performance on proximal surfaces. However, because of the low number of includable clinical studies, these data should be interpreted with caution.

Identifying and Avoiding Risk of Bias in Caries Diagnostic Studies.

Caries diagnostic studies differ with respect to their design, included patients/tooth samples, use of diagnostic and reference methods, calibration, blinding and data reporting. Such heterogeneity makes comparisons between studies difficult and could represent a substantial risk of bias (RoB) when it is not identified. Therefore, the present report aims to describe the development and background of a RoB assessment tool for caries diagnostic studies. The expert group developed and agreed to use a RoB assessment tool during three workshops. Here, existing instruments (e.g., QUADAS 2 and the Joanna Briggs Institute Reviewers' Manual) influenced the hierarchy and phrasing of the signalling questions that were adapted to the specific dental purpose. The tailored RoB assessment tool that was created consists of 16 signalling questions that are organized in four domains. This tool considers the selection/spectrum bias (1), the bias of the index (2) and reference tests (3), and the bias of the study flow and data analysis (4) and can be downloaded from the journal website. This paper explores possible sources of heterogeneity and bias in caries diagnostic studies and summarizes the relevant methodological aspects.

Systematic review and meta-analysis of diagnostic methods for occlusal surface caries.

AIM: This systematic review and meta-analysis aimed to assess the diagnostic performance of commonly used methods for occlusal caries diagnostics, such as visual examination (VE), bitewing radiography (BW) and laser fluorescence (LF), in relation to their ability to detect (dentin) caries under clinical and laboratory conditions. MATERIALS AND METHODS: A systematic search of the literature was performed to identify studies meeting the inclusion criteria using the PIRDS concept (N = 1090). A risk of bias (RoB) assessment tool was used for quality evaluation. Reports with low/moderate RoB, well-matching thresholds for index and reference tests and appropriate reporting were included in the meta-analysis (N = 37; 29 in vivo/8 in vitro). The pooled sensitivity (SE), specificity (SP), diagnostic odds ratio (DOR) and areas under ROC curves (AUCs) were computed. RESULTS: SP ranged from 0.50 (fibre-optic transillumination/caries detection level) to 0.97 (conventional BW/dentine detection level) in vitro. AUCs were typically higher for BW or LF than for VE. The highest AUC of 0.89 was observed for VE at the 1/3 dentin caries detection level; SE (0.70) was registered to be higher than SP (0.47) for VE at the caries detection level in vivo. CONCLUSION: The number of included studies was found to be low. This underlines the need for high-quality caries diagnostic studies that further provide data in relation to multiple caries thresholds. CLINICAL RELEVANCE: VE, BW and LF provide acceptable measures for their diagnostic performance on occlusal surfaces, but the results should be interpreted with caution due to the limited data in many categories.

How combining different caries lesions characteristics may be helpful in short-term caries progression prediction: model development on occlusal surfaces of primary teeth.

BACKGROUND: Few studies have addressed the clinical parameters' predictive power related to caries lesion associated with their progression. This study assessed the predictive validity and proposed simplified models to predict short-term caries progression using clinical parameters related to caries lesion activity status. METHODS: The occlusal surfaces of primary molars, presenting no frank cavitation, were examined according to the following clinical predictors: colour, luster, cavitation, texture, and clinical depth. After one year, children were re-evaluated using the International Caries Detection and Assessment System to assess caries lesion progression. Progression was set as the outcome to be predicted. Univariate multilevel Poisson models were fitted to test each of the independent variables (clinical features) as predictors of short-term caries progression. The multimodel inference was made based on the Akaike Information Criteria and C statistic. Afterwards, plausible interactions among some of the variables were tested in the models to evaluate the benefit of combining these variables when assessing caries lesions. RESULTS: 205 children (750 surfaces) presented no frank cavitations at the baseline. After one year, 147 children were reassessed (70%). Finally, 128 children (733 surfaces) presented complete baseline data and had included primary teeth to be reassessed. Approximately 9% of the reassessed surfaces showed caries progression. Among the univariate models created with each one of these variables, the model containing the surface integrity as a predictor had the lowest AIC (364.5). Univariate predictive models tended to present better goodness-of-fit (AICs < 388) and discrimination (C:0.959-0.966) than those combining parameters (AIC:365-393, C:0.958-0.961). When only non-cavitated surfaces were considered, roughness compounded the model that better predicted the lesions' progression (AIC = 217.7, C:0.91). CONCLUSIONS: Univariate model fitted considering the presence of cavitation show the best predictive goodness-of-fit and discrimination. For non-cavitated lesions, the simplest way to predict those lesions that tend to progress is by assessing enamel roughness. In general, the evaluation of other conjoint parameters seems unnecessary for all non-frankly cavitated lesions.