Detection and treatment of proximal caries lesions: Milieu-specific cost-effectiveness analysis

Detection, Diagnosis, and Monitoring of Early Caries: The Future of Individualized Dental Care

Dental caries remains a significant global health issue. It was highlighted by the World Health Organization's 2022 reports that despite the efforts and scientific advancements in caries detection and management, the situation has only marginally improved over the past three decades. The persistence of this problem may be linked to outdated concepts developed almost a century ago but are still guiding dentists' approach to caries management today. There is a need to reconsider professional strategies for preventing and managing the disease. Contemporary dentistry could benefit from embracing new concepts and technologies for caries detection and management. Dentists should explore, among others, alternative methods for caries detection such as optical-based caries detection. These tools have been established for over a decade and they align with current disease understanding and international recommendations, emphasizing early detection and minimally invasive management. This narrative review presents the current state of knowledge and recent trends in caries detection, diagnosis, monitoring, and management, offering insights into future perspectives for clinical applications and research topics.

Cost-effectiveness of school-based caries screening using transillumination

OBJECTIVES

School-based screening for caries lesions usually only employs visual-tactile detection means (standard of care). Near-infrared-light-transillumination (NILT) could be used to support school-based screening and to identify early proximal caries, facilitating referral and appropriate non- or micro-invasive management in dental practice.

METHOD

We assessed the cost-effectiveness of NILT for school-based caries screening. A German mixed-payers' perspective was adopted. A Markov model was used to simulate the consequences of true and false positive and negative detections and the subsequent decisions over the lifetime of initially 12 years old patients. Our health outcome was tooth retention in years. Costs were measured in Euro 2020. Monte-Carlo-microsimulations, univariate and probabilistic sensitivity analyses were conducted. The incremental cost-effectiveness ratio (ICER) and the cost-effectiveness-acceptability at different willingness-to-pay-thresholds were quantified.

RESULTS

NILT was minimally more effective (tooth retention for a mean (2.5-97.5%) 56 (53-59) years) and minimally less costly (515 (416-616) Euro) than standard of care (56 (50-59) years; 526 (427-628 Euro)). The ICER was -503 Euro/year, i.e. school-based caries screening using NILT saved money at higher effectiveness in the modelled population. The cost-effectiveness of NILT increased for payers with a willingness-to-pay for additional tooth retention time. The biggest driver of costs were (avoided) tooth replacements later in life.

CONCLUSIONS

NILT-based screening is likely to yield limited effectiveness gains and cost savings in the modelled populations. In countries where regular practice-based screening of children is less common than in Germany, the cost-effectiveness of NILT for school-based caries screening is likely higher.

CLINICAL SIGNIFICANCE

NILT-based caries screening in German schools is unlikely to be cost-effective. In countries with different utilization patterns or generally higher caries prevalence and risk, this may differ.

Applications, functions, and accuracy of artificial intelligence in restorative dentistry: A literature review

OBJECTIVE

The applications of artificial intelligence (AI) are increasing in restorative dentistry; however, the AI performance is unclear for dental professionals. The purpose of this narrative review was to evaluate the applications, functions, and accuracy of AI in diverse aspects of restorative dentistry including caries detection, tooth preparation margin detection, tooth restoration design, metal structure casting, dental restoration/implant detection, removable partial denture design, and tooth shade determination.

OVERVIEW

An electronic search was performed on Medline/PubMed, Embase, Web of Science, Cochrane, Scopus, and Google Scholar databases. English-language articles, published from January 1, 2000, to March 1, 2022, relevant to the aforementioned aspects were selected using the key terms of artificial intelligence, machine learning, deep learning, artificial neural networks, convolutional neural networks, clustering, soft computing, automated planning, computational learning, computer vision, and automated reasoning as inclusion criteria. A manual search was also performed. Therefore, 157 articles were included, reviewed, and discussed.

CONCLUSIONS

Based on the current literature, the AI models have shown promising performance in the mentioned aspects when being compared with traditional approaches in terms of accuracy; however, as these models are still in development, more studies are required to validate their accuracy and apply them to routine clinical practice.

CLINICAL SIGNIFICANCE

AI with its specific functions has shown successful applications with acceptable accuracy in diverse aspects of restorative dentistry. The understanding of these functions may lead to novel applications with optimal accuracy for AI in restorative dentistry.

Artificial Intelligence for Caries Detection: Value of Data and Information

If increasing practitioners’ diagnostic accuracy, medical artificial intelligence (AI) may lead to better treatment decisions at lower costs, while uncertainty remains around the resulting cost-effectiveness. In the present study, we assessed how enlarging the data set used for training an AI for caries detection on bitewings affects cost-effectiveness and also determined the value of information by reducing the uncertainty around other input parameters (namely, the costs of AI and the population’s caries risk profile). We employed a convolutional neural network and trained it on 10%, 25%, 50%, or 100% of a labeled data set containing 29,011 teeth without and 19,760 teeth with caries lesions stemming from bitewing radiographs. We employed an established health economic modeling and analytical framework to quantify cost-effectiveness and value of information. We adopted a mixed public–private payer perspective in German health care; the health outcome was tooth retention years. A Markov model, allowing to follow posterior teeth over the lifetime of an initially 12-y-old individual, and Monte Carlo microsimulations were employed. With an increasing amount of data used to train the AI sensitivity and specificity increased nonlinearly, increasing the data set from 10% to 25% had the largest impact on accuracy and, consequently, cost-effectiveness. In the base-case scenario, AI was more effective (tooth retention for a mean [2.5%–97.5%] 62.8 [59.2–65.5] y) and less costly (378 [284–499] euros) than dentists without AI (60.4 [55.8–64.4] y; 419 [270–593] euros), with considerable uncertainty. The economic value of reducing the uncertainty around AI’s accuracy or costs was limited, while information on the population’s risk profile was more relevant. When developing dental AI, informed choices about the data set size may be recommended, and research toward individualized application of AI for caries detection seems warranted to optimize cost-effectiveness.

Cost-effectiveness of AI for Caries Detection: Randomized Trial

OBJECTIVES

We assessed the cost-effectiveness of AI-supported detection of proximal caries in a randomized controlled clustered cross-over superiority trial.

METHODS

Twenty-three dentists were sampled to assess 20 bitewings; 10 were randomly evaluated supported by an AI-based software (dentalXrai Pro 1.0.4, dentalXrai Ltd, Berlin, Germany) and the other 10 without AI support. The reference test had been established by four independent experts and an additional review. We evaluated the proportion of true and false positive and negative detections and the treatment decisions assigned to each detection (non-invasive, micro-invasive, invasive). Cost-effectiveness was assessed using a mixed public-private-payer perspective in German healthcare. Using the accuracy and treatment decision data from the trial, a Markov simulation model was populated and posterior permanent teeth in initially 31-years old individuals followed over their lifetime. The model allowed extrapolation from the initial detection and therapy to treatment success, re-treatments and, eventually, tooth loss and replacement, capturing long-term effectiveness (tooth retention) and costs (cumulative in Euro). Costs were estimated using the German public and private fee catalogues. Monte-Carlo microsimulations were used and incremental cost-effectiveness at different willingness-to-pay ceiling thresholds assessed.

RESULTS

In the trial, AI-supported detection was significantly more sensitive than detection without AI. However, in the AI group, lesions were more often treated invasively. As a result, AI and no AI showed identical effectiveness (tooth retention for a mean (2.5-97.5%) 49 (48-51)) and nearly identical costs (AI: 330 (250-409) Euro, no AI: 330 (248-410) Euro). 41% simulations found AI and 43% no AI to be more cost-effective. The resulting cost-effectiveness remained uncertain regardless of a payer's willingness-to-pay.

CONCLUSIONS

Higher accuracy of AI did not lead to higher cost-effectiveness, as more invasive treatment approaches generated costs and diminished possible effectiveness advantages.

CLINICAL SIGNIFICANCE

The cost-effectiveness of AI could be improved by supporting not only caries detection, but also subsequent management.

Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy

OBJECTIVE

To assess the cost-effectiveness of artificial intelligence (AI) for supporting clinicians in detecting and grading diseases in dermatology, dentistry, and ophthalmology.

IMPORTANCE

AI has been referred to as a facilitator for more precise, personalized, and safer health care, and AI algorithms have been reported to have diagnostic accuracies at or above the average physician in dermatology, dentistry, and ophthalmology.

DESIGN, SETTING, AND PARTICIPANTS

This economic evaluation analyzed data from 3 Markov models used in previous cost-effectiveness studies that were adapted to compare AI vs standard of care to detect melanoma on skin photographs, dental caries on radiographs, and diabetic retinopathy on retina fundus imaging. The general US and German population aged 50 and 12 years, respectively, as well as individuals with diabetes in Brazil aged 40 years were modeled over their lifetime. Monte Carlo microsimulations and sensitivity analyses were used to capture lifetime efficacy and costs. An annual cycle length was chosen. Data were analyzed between February 2021 and August 2021.

EXPOSURE

AI vs standard of care.

MAIN OUTCOMES AND MEASURES

Association of AI with tooth retention-years for dentistry and quality-adjusted life-years (QALYs) for individuals in dermatology and ophthalmology; diagnostic costs.

RESULTS

In 1000 microsimulations with 1000 random samples, AI as a diagnostic-support system showed limited cost-savings and gains in tooth retention-years and QALYs. In dermatology, AI showed mean costs of $750 (95% CI, $608-$970) and was associated with 86.5 QALYs (95% CI, 84.9-87.9 QALYs), while the control showed higher costs $759 (95% CI, $618-$970) with similar QALY outcome. In dentistry, AI accumulated costs of €320 (95% CI, €299-€341) (purchasing power parity [PPP] conversion, $429 [95% CI, $400-$458]) with 62.4 years per tooth retention (95% CI, 60.7-65.1 years). The control was associated with higher cost, €342 (95% CI, €318-€368) (PPP, $458; 95% CI, $426-$493) and fewer tooth retention-years (60.9 years; 95% CI, 60.5-63.1 years). In ophthalmology, AI accrued costs of R $1321 (95% CI, R $1283-R $1364) (PPP, $559; 95% CI, $543-$577) at 8.4 QALYs (95% CI, 8.0-8.7 QALYs), while the control was less expensive (R $1260; 95% CI, R $1222-R $1303) (PPP, $533; 95% CI, $517-$551) and associated with similar QALYs. Dominance in favor of AI was dependent on small differences in the fee paid for the service and the treatment assumed after diagnosis. The fee paid for AI was a factor in patient preferences in cost-effectiveness between strategies.

CONCLUSIONS AND RELEVANCE

The findings of this study suggest that marginal improvements in diagnostic accuracy when using AI may translate into a marginal improvement in outcomes. The current evidence supporting AI as decision support from a cost-effectiveness perspective is limited; AI should be evaluated on a case-specific basis to capture not only differences in costs and payment mechanisms but also treatment after diagnosis.

Diversity of site-specific microbes of occlusal and proximal lesions in severe- early childhood caries (S-ECC)

Background

Severe-early childhood caries (S-ECC) a global problem of significant concern, commonly manifest on the occlusal, and proximal surfaces of affected teeth. Despite the major ecological differences between these two niches the compositional differences, if any, in the microbiota of such lesions is unknown.

Methods

Deep-dentine caries samples from asymptomatic primary molars of children with S-ECC (n 19) belonging to caries-code 5/6, (ICDAS classification) were evaluated. Employing two primer pools, we amplified and compared the bacterial 16S rRNA gene sequences of the seven hypervariable regions (V2—V4 and V6—V9) using NGS-based assay.

Results

Bray-Curtisevaluation indicated that occlusal lesions (OL) had a more homogeneous community than the proximal lesions (PL) with significant compositional differences at the species level (p = 0.01; R- 0.513). Together, the occlusal and proximal niches harbored 263 species, of which 202 (76.8%) species were common to both , while 49 (18.6%) and 12 (4.6%) disparate species were exclusively isolated from the proximal and occlusal niches, respectively. The most commonl genera at both niches included Streptococcus, Prevotella, and Lactobacillus. S. mutans was predominant in PL (p ≤ 0.05), and Atopobium parvulum (p = 0.01) was predominant in OL.

Conclusions

Distinct differences exist between the caries microbiota of occlusal and proximal caries in S-ECC.

Artificial intelligence for caries detection: Randomized trial

OBJECTIVES

We aimed to assess the impact of an artificial intelligence (AI)-based diagnostic-support software for proximal caries detection on bitewing radiographs.

METHODS

A cluster-randomized cross-over controlled trial was conducted. A commercially available software employing a fully convolutional neural network for caries detection (dentalXrai Pro, dentalXrai Ltd.) was randomly employed by 22 dentists, supporting their caries detection on 20 bitewings randomly chosen from a pool of 140 bitewings, with 10 bitewings randomly being supported by AI and 10 not. The reference test had been established by 4 + 1 independent experts in a pixelwise fashion. Caries was subgrouped as enamel, early dentin and advanced dentin caries, and accuracy and treatment decisions for each caries lesion assessed.

RESULTS

Dentists with AI showed a significantly higher mean (95% CI) area under the Receiver-Operating-Characteristics curve (0.89; 0.87-0.90) than those without AI (0.85; 0.83-0.86; p<0.05), mainly as their sensitivity was significantly higher (0.81; 0.74-0.87 compared with 0.72; 0.64-0.79; p<0.05) while the specificity was not significantly affected (p>0.05). This increase in sensitivity was found for enamel, but not early or advanced dentin lesions. Higher sensitivity came with an increase in non-invasive, but also invasive treatment decisions (p<0.05).

CONCLUSION

AI can increase dentists' diagnostic accuracy but may also increase invasive treatment decisions.

CLINICAL SIGNIFICANCE

AI can increase dentists' diagnostic accuracy, mainly via increasing their sensitivity for detecting enamel lesions, but may also increase invasive therapy decisions. Differences in the effects of AI for different dentists should be explored, and dentists should be guided as to which therapy to choose when detecting caries lesions using AI support.

Long-term cost-effectiveness of glass hybrid versus composite in permanent molars

OBJECTIVES

We assessed the long-term cost-effectiveness of glass hybrid (GH) versus composite (CO) for restoring permanent molars using a health economic modelling approach.

METHODS

A multi-national (Croatia, Serbia, Italy, Turkey) split-mouth randomized trial comparing GH and CO in occlusal-proximal two-surfaced cavities in permanent molars (n=180/360 patients/molars) provided data on restoration failure and allocation probabilities (i.e. failure requiring re-restoration, repair or endodontic therapy). Using Markov modelling, we followed molars over the lifetime of an initially 12-years-old individual. Our health outcome was the time a tooth was retained. A mixed-payers' perspective within German healthcare was used to determine costs (in Euro 2018) using fee item catalogues. Monte-Carlo-microsimulations, univariate and probabilistic sensitivity analyses were conducted. Incremental cost-effectiveness ratios (ICER)s and cost-effectiveness-acceptability were quantified.

RESULTS

In the base-case scenario, CO was more effective (tooth retention for a mean (SD) 54.4 (1.7) years) but also more costly (694 (54) Euro) than GH (53.9 (1.7) years; 614 (56 Euro). The ICER was 158 Euro/year, i.e. payers needed to be willing to invest 158 Euro per additional year of tooth retention when using CO. In a sensitivity analysis, this finding was confirmed or GH found more effective and less costly.

CONCLUSION

CO was more costly and limitedly more effective than GH, and while there is uncertainty around our findings, GH is likely a cost-effectiveness option for restoring permanent molars.

CLINICAL SIGNIFICANCE

When considering the long-term (life-time) cost-effectiveness, GH showed cost savings but CO was limitedly more effective. Overall, cost-effectiveness differences seems limited or in favour of GH.

Proximal caries infiltration - Pragmatic RCT with 4 years of follow-up

OBJECTIVES

Efficacy of proximal caries infiltration to arrest lesion progression has been shown in university settings, but only once in a practice-based pragmatic design with a follow-up of 18 months. The aim of this randomized split-mouth placebo-controlled study was to follow-up this cohort for 3 years and those with high caries risk for 4 years.

METHODS

Originally, in 87 children and young adults pairs of 238 proximal caries lesions, radiographically extending into inner half of enamel (E2) or outer third of dentin (D1), were randomly allocated to two groups: infiltration (Icon; DMG) or mock (control) treatment by five dentists in four private practices. All subjects received risk-related instructions for diet, flossing and fluoridation. The primary outcome was radiographic lesion progression (pairwise comparison) evaluated by two evaluators independently being blinded to treatment allocation.

RESULTS

After 36 months [mean (SD): 1152 (166) days] 165 lesion pairs in 64 patients as well as after 48 months [mean (SD): 1496 (121) days] 71 lesion pairs in 20 high caries risk patients could be re-evaluated clinically as well as radiographically using individualized bitewing holders as at baseline. No adverse events could be observed. After 36 months, progression was recorded in 23/165 test (14%) and 64/165 control lesions (39%) [McNemar/Obuchowski test; p<0.001; relative risk reduction (CI95%): 64 (45-77%)]. After 48 months lesion progression was recorded in 13/71 test (18%) and 34/71 control lesions (48%) [p = 0.003; relative risk reduction (CI95%): 62 (34-78%)] of high caries risk patients.

CONCLUSIONS

It can be concluded that also in a practice-setting proximal caries infiltration is more efficacious in reducing lesion progression compared with individualized non-invasive measures alone over a period of four years.

What diagnostic strategy performs better for caries lesion detection on proximal surfaces of adolescents?

OBJECTIVE

To evaluate the performance of visual inspection alone and associated to radiographic and laser fluorescence (LF) methods in detecting non-evident caries lesions at adolescents' proximal surfaces.

MATERIALS AND METHODS

Adolescents (12 to 17 years old) were assessed for the presence of caries lesions through visual inspection, radiographic examination, and LF method (DIAGNOdent pen), at non-cavitated (NC) and cavitated lesion (CAV) thresholds. Temporary separation with orthodontic rubbers followed by direct visual inspection was the reference standard method. Two examiners conducted the examinations, and the first examiner reassessed around 20% of the sample, to evaluate inter- and intra-examiner reproducibility, respectively. Sensitivity, specificity, accuracy, and utility values were calculated for the methods alone and combined with visual inspection using two different strategies: simultaneous and sequential combination.

RESULTS

A total of 834 proximal surfaces (51 adolescents) were included. Visual inspection presented higher reproducibility values (higher than 0.98). Moreover, visual inspection presented higher sensitivity (around 0.51) than those obtained with other diagnostic strategies (varying from 0.09 to 0.20) at the NC threshold. For CAV, visual inspection presented higher specificity (0.996) than the sequential association with adjunct methods (around 0.97), but with lower sensitivity. Accuracy and utility values for combined strategies were similar or lower than those achieved with the visual inspection performed alone.

CONCLUSION

Visual inspection alone performs better for detecting caries lesions in premolars and molars of adolescents than other diagnostic strategies.

CLINICAL RELEVANCE

The best diagnostic strategy for caries detection of proximal caries lesions in adolescents is the visual inspection alone.

Cost-effectiveness of Artificial Intelligence for Proximal Caries Detection

Artificial intelligence (AI) can assist dentists in image assessment, for example, caries detection. The wider health and cost impact of employing AI for dental diagnostics has not yet been evaluated. We compared the cost-effectiveness of proximal caries detection on bitewing radiographs with versus without AI. U-Net, a fully convolutional neural network, had been trained, validated, and tested on 3,293, 252, and 141 bitewing radiographs, respectively, on which 4 experienced dentists had marked carious lesions (reference test). Lesions were stratified for initial lesions (E1/E2/D1, presumed noncavitated, receiving caries infiltration if detected) and advanced lesions (D2/D3, presumed cavitated, receiving restorative care if detected). A Markov model was used to simulate the consequences of true- and false-positive and true- and false-negative detections, as well as the subsequent decisions over the lifetime of patients. A German mixed-payers perspective was adopted. Our health outcome was tooth retention years. Costs were measured in 2020 euro. Monte-Carlo microsimulations and univariate and probabilistic sensitivity analyses were conducted. The incremental cost-effectiveness ratio (ICER) and the cost-effectiveness acceptability at different willingness-to-pay thresholds were quantified. AI showed an accuracy of 0.80; dentists’ mean accuracy was significantly lower at 0.71 (minimum–maximum: 0.61–0.78, P < 0.05). AI was significantly more sensitive than dentists (0.75 vs. 0.36 [0.19–0.65]; P = 0.006), while its specificity was not significantly lower (0.83 vs. 0.91 [0.69–0.98]; P > 0.05). In the base-case scenario, AI was more effective (tooth retention for a mean 64 [2.5%–97.5%: 61–65] y) and less costly (298 [244–367] euro) than assessment without AI (62 [59–64] y; 322 [257–394] euro). The ICER was −13.9 euro/y (i.e., AI saved money at higher effectiveness). In the majority (>77%) of all cases, AI was less costly and more effective. Applying AI for caries detection is likely to be cost-effective, mainly as fewer lesions remain undetected. Notably, this cost-effectiveness requires dentists to manage detected early lesions nonrestoratively.

A Century of Change towards Prevention and Minimal Intervention in Cariology

Better understanding of dental caries and other oral conditions has guided new strategies to prevent disease and manage its consequences at individual and public health levels. This article discusses advances in prevention and minimal intervention dentistry over the last century by focusing on some milestones within scientific, clinical, and public health arenas, mainly in cariology but also beyond, highlighting current understanding and evidence with future prospects. Dentistry was initially established as a surgical specialty. Dental caries (similar to periodontitis) was considered to be an infectious disease 100 years ago. Its ubiquitous presence and rampant nature-coupled with limited diagnostic tools and therapeutic treatment options-meant that these dental diseases were managed mainly by excising affected tissue. The understanding of the diseases and a change in their prevalence, extent, and severity, with evolutions in operative techniques, technologies, and materials, have enabled a shift from surgical to preventive and minimal intervention dentistry approaches. Future challenges to embrace include continuing the dental profession's move toward a more patient-centered, evidence-based, less invasive management of these diseases, focused on promoting and maintaining oral health in partnership with patients. In parallel, public health needs to continue to, for example, tackle social inequalities in dental health, develop better preventive and management options for existing disease risk groups (e.g., the growing aging population), and the development of reimbursement and health outcome models that facilitate implementation of these evolving strategies. A century ago, almost every treatment involved injections, a drill or scalpel, or a pair of forceps. Today, dentists have more options than ever before available to them. These are supported by evidence, have a minimal intervention focus, and result in better outcomes for patients. The profession's greatest challenge is moving this evidence into practice.

Accuracy of near-infrared light transillumination (NILT) compared to bitewing radiograph for detection of interproximal caries in the permanent dentition: A systematic review and meta-analysis

OBJECTIVE

To evaluate the accuracy of the near-infrared light transillumination (NILT) for the detection of interproximal dental caries in permanent dentition when compared to bitewing X-ray (BW).

DATA

In vivo studies that detected interproximal primary caries in permanent teeth by using NILT and BW were selected. QUADAS-2 was used to assess the risk of bias. Pooled sensitivity and specificity forest plots were calculated, summary receiver operator characteristics (SROC) curves were constructed. The certainty of the evidence was rated using the GRADE system.

SOURCES

Pubmed, Cochrane Library, Web of Science, Scopus, Lilacs/BBO and grey literature databases were surveyed.

STUDY SELECTION

From 1594 retrieved articles, 13 studies were included. Six studies had a low risk of bias and a low level of concern regarding applicability. Four studies had an unclear risk of bias, while three presented a high risk of bias. The meta-analysis of six studies demonstrated that NILT presented good overall accuracy. Of 6110 teeth, 92.3 % (5639) were accurately classified (776 as true positive and 4863 as true negative). The pooled sensitivity was 0.97 (0.96 to 0.98; p = 0.0000; I² = 93.2 %) with moderate certainty of evidence, and the pooled specificity was 0.91 (0.91 to 0.92; p = 0.0000; I² = 98.3 %) with high certainty of evidence. Symmetric (0.9837) and asymmetric (0.9836) SROC showed a high discrimination and determination effect of NILT.

CONCLUSION

The current literature, with moderate certainty and a middling quality of evidence, demonstrates that NILT presents a reasonably comparable accuracy to that of BW for detecting interproximal carious lesions in the permanent dentition.

CLINICAL SIGNIFICANCE

Since NILT presented good overall accuracy for the detection of interproximal primary caries, it could be routinely used in dental check-ups, especially in high-risk caries populations and in patients where the use of radiation should be reduced, like pregnant women or children.

Oral Hygiene in a Sample of Children/Adolescents Living in Family-Homes from the Province of Milan (Italy): A Pilot Study

Objective: This pilot study is a prospective controlled clinical trial, designed to evaluate the short-term clinical results (the plaque index) of an educational/motivational program for home oral hygiene, directed to children and adolescents who live in family-homes. Methods: The setting of the project was the province of Milan (Italy), where two family-homes were selected. The study group included 26 children (16 females and 10 males) aged between 7 and 15 years, of Italian nationality, from the family-home communities. The control group included 26 children (15 females and 11 males, aged between 7 and 15 years) of Italian nationality, matched for age and gender distribution with the study group, that were not in a socially disadvantaged condition. Collection of the plaque index (PI) was performed at t0. Then, all basic oral hygiene instructions were given to all children/adolescents and their educators. Education and motivation were repeated in the same way after 4–7 weeks (T1), and after 10–12 weeks (T2). The PI was taken also at T1 and T2. Results: An improvement in the PI was generally found in both groups, but there was no statistically significant difference between the two groups over time. Multivariate analysis of variance (MANOVA) revealed a statistically significant effect of time [F (1, 52) = 90.73, p < 0.001], regardless of the assignment group, in consequence of which the plaque index presented a moderate and significant improvement. Conclusion: The present data confirm the validity of the educational/motivational program to improve oral hygiene in children/adolescents, regardless of the assignment group.

Microbiota of interdental space of adolescents according to Risk of Caries: A cross-sectional study protocol

Dental caries is a major oral disease resulting from a complex interaction between the commensal microbiota, host susceptibility (heredity, immunity, diseases, etc.) and environmental factors (diet, dental hygiene, etc.). To predict the patient's risk of new carious lesions or progression of existing lesions, the Caries Risk Assessment (CRA) takes account of clinical, biological and behavioural factors. Thus, the CRA can predict whether the patient is at high or low risk of developing caries. The practitioner can thus set up a follow-up adapted to the risk of the patient. However, although bacteria are the main etiological factor of carious lesions, the CRA does not consider bacterial quantification or just focus on the level of S. mutans in the saliva. As the majority of cavities are interproximal in adolescence, the aim of this trial is to identify and quantify the interdental microbiota of adolescents aged from 15 to 17 years with low or high carious risk. So, the quantification of new biomarkers associated with carious lesion could be added to the CRA to improve it.

The Oral Bacterial Microbiome of Interdental Surfaces in Adolescents According to Carious Risk

Adolescence is closely associated with a high risk of caries. The identification of specific bacteria in an oral microniche, the interdental space of the molars, according to carious risk can facilitate the prediction of future caries and the anticipation of the progression or stabilization of caries in adolescents. A cross-sectional clinical study according to the bacteriological criteria of interdental healthy adolescents and carious risk factors-low and high-using a real-time polymerase chain reaction technique was conducted. The presence of 26 oral pathogens from the interdental microbiota of 50 adolescents aged 15 to 17 years were qualitatively and quantitatively analyzed. Bacteria known to be cariogenic (Bifidobacterium dentium, Lactobacillus spp., Rothia dentocariosa, Streptococcus cristatus, Streptococcus mutans, Streptococcus salivarius, Streptococcus sobrinus, and Streptococcus wiggsiae) did not present differences in abundance according to carious risk. Periodontal bacteria from the red complex are positively correlated with carious risk. However, only 3 bacteria-S. sobrinus, E corrodens and T. forsythia-presented a significant increase in the highest group. Estimating the risk of caries associated with bacterial factors in interdental sites of molars in adolescents contributes to the better definition of carious risk status, periodicity and intensity of diagnostic, prevention and restorative services.

A systematic review of decision analytic modeling techniques for the economic evaluation of dental caries interventions

OBJECTIVES

Dental caries occur through a multifactorial process that may influence all tooth surfaces throughout an individual's life. The application of decision analytical modeling (DAM) has gained an increasing level of attention in long-term outcome assessment and economic evaluation of interventions on caries in recent years. The objective of this study was to systematically review the application of DAM and assess their methodological quality in the context of dental caries.

METHODS

A systematic review of the literature published to 31st December 2018 was conducted in Medline, EMBASE, NHSEED, and Web of Science electronic databases. The main information and model characteristics of studies was extracted with the methodological quality of included studies reviewed and assessed using the Philips' checklist.

RESULTS

Twenty five studies from different settings were included. Modeling techniques mainly comprised main type of modeling including Markov models (n = 12), Markov/microsimulation mixed model (n = 7), systematic dynamic models (n = 3), microsimulation models (n = 2) and decision tree (n = 1). The mean number of criteria fulfilled was 25.1 out of 60 items, which varied between year of study and research groups. The percentage of criteria fulfilled for data dimension was lower than for the structure and consistency dimension. Critical issues were data quality, incorporation of utility values, and uncertainty analysis in modeling.

CONCLUSION

The current review revealed that the methodological quality of DAM in dental caries economic evaluations is unsatisfied. Future modeling studies should adhere more closely to good practice guidelines, especially with respect to data quality evaluation, utility values incorporation, and uncertainty analysis in DAM based studies.

Tailored Dentistry: From "One Size Fits All" to Precision Dental Medicine?

Over the past 30 years and fueled by both a rapidly evolving understanding of dental diseases and technological advances in diagnostics and therapy, dentistry has been changing dramatically. Managing dental caries and carious lesions had, for nearly a century, encompassed only a small number of basic concepts that were applied to virtually all patients and lesions, namely, invasive removal of any carious tissue regardless of its activity or depth and its replacement with restorative materials (amalgams or crowns for most of the past) or tooth removal and prosthetic replacement. Grounded in a deeper understanding of the disease "caries," its management-aiming to control the causes of the disease, to slow down or alleviate existing disease, and, only as a last resort, to remove its symptoms using a bur or forceps-has become more complex and diverse. In parallel and at nearly unprecedented speed, our patients are changing, as mirrored by ongoing debates as to the demographic and, with it, the social future of most high-income countries. This article describes how these changes will have a profound future impact on how we practice dental medicine in the future. It will deduce, from both demographic and epidemiologic trends, why there is the need to apply not one but rather the whole range of existing evidence-based concepts in an individualized (personalized) manner, hence increasing the effectiveness and efficiency of dental management strategies, and also describe how these strategies should be tailored according not only to our patients (their age and risk profiles) but also to the specific tooth (or site or lesion).

Need of non-operative caries treatment in 16-year-olds from Northern Norway

AIM

To assess the prevalence of proximal enamel lesions, the need for non-operative caries treatment and the quality of dental restorations in 869 students aged 16 years from Northern Norway.

METHODS

All first year upper secondary school students in Tromsø and Balsfjord municipalities were invited to participate in an oral- and general health project (Fit Futures). The attendance rate was 90%, and all subjects born in 1994 (449 males and 420 females) were included in the present study. Dental caries was registered according to a 5-graded scale (1-2 = enamel lesions; 3-5 = dentinal lesions). Scores from 1 to 4 were used to register the quality of restorations (1 = good; 2 = acceptable; 3 = poor; 4 = unacceptable).

RESULTS

Only 6% of the 16-year-olds were completely caries-free. There were 84% of the participants with proximal enamel lesions. A majority of them had either previously restored teeth (35%) or both restored teeth and untreated dentinal caries lesions (34%). When using the D-value of the DMFS-index as a diagnostic criterion, 39% of the participants were in need of restorative treatment. When proximal enamel lesions were included in the diagnosis, the number of participants in need of restorative and/or non-operative caries treatment was 85%. Over 1/3 of the participants presented with at least one restoration below an acceptable quality level.

CONCLUSIONS

Dental caries is still a major health problem affecting the total teenage population. A non-operative treatment strategy should be considered relevant in order to reduce the need for restorative treatment.

Restoring root-canal treated molars: Cost-effectiveness-analysis of direct versus indirect restorations

OBJECTIVES

Root-canal treated molars can be directly restored, usually using resin-based-composite restorations (RBCs), or indirectly restored using full or partial crowns (FCs/PCs). Both the initial treatment costs and the risks of restorative and endodontic complications differ between RBCs and FCs/PCs. We aimed to assess the cost-effectiveness of RBCs versus FCs/PCs for restoring root-canal treated molars.

METHODS

A mixed public-private payer's perspective within German healthcare was taken. Risks of complications were extracted from large cohort studies or systematic reviews. Costs were estimated using fee-items catalogues of public and private German insurance. A Markov-model was constructed to follow up a root-canal treated molar receiving different restorations in an initially 50-year-old patient over his lifetime. Monte Carlo-microsimulations were performed to assess lifetime costs and effectiveness (tooth retention time), and the resulting cost-effectiveness.

RESULTS

RBCs were less costly than FCs/PCs (749 Euro versus 782 Euro), but also less effective (22 years versus 24 years), the incremental-cost-effectiveness-ratio was 10.80 Euro/year. This ratio increased if costs for direct restorations decreased, or costs for indirect restorations increased. If no teeth were replaced, RBC was far more cost-effective (the incremental cost-effectiveness ratios was 52.95 Euro/year). If all teeth were replaced, FC was both more effective and less costly.

CONCLUSIONS

RBCs showed lower costs, but also lower effectiveness than FCs/PCs. Consequently, the cost-effectiveness of both strategies depended on the willingness-to-pay of patients or other payers, i.e. their willingness to invest in higher effectiveness. Clinically, a large number of tooth, patient and dentist-related factors will impact on decision-making and should be considered.

CLINICAL SIGNIFICANCE

We found composite restorations to be less costly, but also less effective than indirect restorations for root-canal treated teeth. Over a long-term period, the initial treatment costs and associated cost-differences between strategies may be outweighed by costs of follow-up treatments.

Accuracy of pen-type laser fluorescence device and radiographic methods in detecting approximal carious lesions in primary teeth - an in vivo study

BACKGROUND

The diagnosis of approximal lesions is limited due to the difficulty of direct examination of these areas.

AIM

To determine the accuracy of pen-type laser fluorescence (LFpen) device, compared to digital bitewing (BW) radiography, in diagnosing approximal carious lesions in posterior primary teeth at cavitation and non-cavitation thresholds.

DESIGN

A total of 46 children (aged 3-9 years) were assessed and 195 approximal surfaces of 184 primary molars were examined by digital BW and LFpen. Visual-tactile inspection based on the International Caries Detection and Assessment System (ICDAS-II) was used as the reference standard. All examinations were performed by the same examiner. Sensitivity, specificity, and accuracy were calculated. Spearman's correlation coefficients were calculated between LFpen and BW readings and the reference standard.

RESULTS

Sensitivity, specificity and AUC were 81.8, 86.7, and 0.84 for BW and 49.1, 87.9, and 0.69 for LFpen both at non-cavitation thresholds. At cavitation thresholds, BW showed higher specificity (96.0), sensitivity (93.0), and AUC (0.98) than did LFpen (72.0, 86.9, and 0.82, respectively), but a lower correlation was indicated by LFpen readings.

CONCLUSION

Bitewing had a better diagnostic accuracy and significantly outperformed LFpen in the detection of non-cavitated lesions. Similar results were obtained by the two methods at the cavitation threshold.

Visual and radiographic caries detection: a tailored meta-analysis for two different settings, Egypt and Germany

Background

Diagnostic meta-analyses on caries detection methods should assist practitioners in their daily practice. However, conventional meta-analysis estimates may be inapplicable due to differences in test conduct, applied thresholds and assessed population between settings. Our aim was to demonstrate the impact of tailored meta-analysis of visual and radiographic caries detection to different settings using setting-specific routine data.

Methods

Published systematic reviews and meta-analyses on the accuracy of visual and radiographic caries detection were used. In two settings (a private practice in Germany and a public health clinic in Egypt), routine data of a total of 100 (n = 50/practice) consecutive 12–14 year-olds were collected. Test-positive rates of visual and radiographic detection for initial and advanced carious lesions on occlusal or proximal surfaces of molars were used to tailor meta-analyses. If prevalence data were available, these were also used for tailoring.

Results

From the original reviews, 210 and 100 heterogeneous studies on visual and radiographic caries detection were included in our meta-analyses. For radiographic detection, sensitivity and specificity estimates derived from conventional and tailored meta-analysis were similar. For visual detection of advanced occlusal carious lesions, the conventional meta-analysis yielded a sensitivity and specificity (95% CI) of 64.6% (57–71) and 90.9% (88–93), whereas the tailored estimates for Egypt were 75.1% (70–81) and 84.9% (82–89), respectively, and 43.7% (37–51) and 96.5% (95–97) for Germany, respectively.

Conclusion

Conventional test accuracy meta-analyses may yield aggregate estimates which are inapplicable to specific settings. Routine data may be used to produce a meta-analysis estimate which is tailored to the setting and thereby improving its applicability.

Electronic supplementary material

The online version of this article (10.1186/s12903-018-0561-z) contains supplementary material, which is available to authorized users.

Sealing or infiltrating proximal carious lesions

OBJECTIVES

Micro-invasive treatment (sealing, infiltration) seems more efficacious to arrest early (non-cavitated) proximal carious lesions than non-invasive treatment (NI). Uncertainty remains as to the efficacy of sealing versus infiltration and the robustness of the evidence. We aimed to review and synthesize this evidence using pairwise and network meta-analysis (NMA) and to perform trial sequential analysis (TSA).

SOURCES

Searching three electronic databases (Medline, Embase, Cochrane Central) was complemented by hand searches and cross-referencing.

STUDY SELECTION

Randomized controlled trials comparing micro-invasive strategies against each other, NI or placebo for managing proximal carious lesions were included. The primary outcome was radiographically assessed lesion progression. Pairwise and Bayesian network meta-analyses as well as TSA were used for synthesis.

DATA

Thirteen split-mouth studies (486 participants, mean age 15 years) were included. Mean follow-up was 25 months (min/max 12/36 months). Firm evidence on the superior efficacy of sealing/infiltration over NI (OR; 95% CI: 0.25; 0.18-0.32) was reached. Firm evidence was also reached on the superior efficacy of sealing (OR; 95% CI: 0.29; 0.18-0.46, 7 studies) and infiltration (OR; 95% CI: 0.22; 0.15-0.33, 7 studies) over NI. One study compared infiltration versus sealing and found no significant difference (0.70; 0.34-1.47). Based on Bayesian NMA, infiltration was ranked first in 80% of the simulations (sealing 20%, NI 0%). The surface-under-the-cumulative-ranking (SUCRA) values were 0.90 for infiltration, 0.60 for sealing and 0.00 for NI. We did not detect significant inconsistency (p = 0.89, node-split).

CONCLUSIONS

Sealing or infiltration are likely to be more efficacious for arresting early (non-cavitated) proximal lesions than NI.

CLINICAL SIGNIFICANCE

Practitioners should strive to perform micro-invasive treatment instead of NI for early proximal lesions. The decision between sealing or infiltration should be guided by practical concerns beyond efficacy.

Restorative Thresholds for Carious Lesions: Systematic Review and Meta-analysis

Current evidence supports noninvasive/nonrestorative treatment of "early" carious lesions: those confined to enamel or reaching the enamel-dentin junction. The extent that dentists' thresholds for intervening restoratively have changed with this evidence is unknown. This systematic review aimed to determine dentists' and therapists' current lesion threshold for carrying our restorative interventions in adults/children and primary/permanent teeth. Embase, Medline via PubMed, and Web of Science were searched for observational studies, without language, time, or quality restrictions. Screening and data extraction were independent and in duplicate. Random-effects meta-analyses with subgroup and meta-regression analysis were performed. Thirty studies, mainly involving dentists, met the inclusion criteria. There was heterogeneity in sampling frames, methods, and scales used to investigate thresholds. The studies spanned 30 y (1983-2014), and sample representativeness and response bias issues were likely to have affected the results. Studies measured what dentists said they would do rather than actually did. Studies represented 17 countries, focusing mainly on adults ( n = 17) and permanent teeth ( n = 24). For proximal carious lesions confined to enamel (not reaching the enamel-dentin junction), 21% (95% confidence interval [CI], 15%-28%) of dentists/therapists would intervene invasively. The likelihood of a restorative intervention almost doubled (risk ratio, 1.98; 95% CI, 1.68-2.33) in high caries risk patients. For proximal lesions extending up to the enamel-dentin junction, 48% (95% CI, 40%-56%) of dentists/therapists would intervene restoratively. For occlusal lesions with enamel discoloration/cavitation but no clinical/radiographic dentin involvement, 12% (95% CI, 6%-22%) of dentists/therapists stated they would intervene, increasing to 74% (95% CI, 56%-86%) with dentin involvement. There was variance between countries but no significant temporal trend. A significant proportion of dentists/therapists said they would intervene invasively (restoratively) on carious lesions where evidence and clinical recommendations indicate less invasive therapies should be used. There is great need to understand decisions to intervene restoratively and to find implementation interventions that translate research evidence into clinical practice.

Pragmatic RCT on the Efficacy of Proximal Caries Infiltration

Proximal caries infiltration has been shown to be efficacious in hampering caries lesion progression when performed by dentists working in a university setting. The aim of this randomized split-mouth, placebo-controlled clinical trial was to assess the efficacy of resin infiltration of proximal caries lesions being performed by several dentists in private practices, in combination with individualized oral hygiene plus noninvasive measures compared with these alone. In this study, 87 children and young adults (with 238 pairs of proximal caries lesions radiographically extending into the inner half of the enamel [E2] or the outer third of the dentin [D1]) were randomly allocated to either 1 of 2 treatments. Test lesions were infiltrated, and a mock treatment was performed in control lesions by 5 German private practitioners. All patients received instructions for a noncariogenic diet, flossing and fluoridation, and individualized noninvasive interventions. The primary outcome was radiographic lesion progression (pairwise comparison) evaluated independently by 2 evaluators who were blinded to treatment allocation. After approximately 10 mo (mean ± SD 307 ± 43 d), 92 of 148 lesion pairs in 24 of 38 treated patients who were at high caries risk could be re-evaluated clinically as well as radiographically using individualized bitewing holders, as at baseline; 186 of 204 lesion pairs in 70 of 77 patients (35 of 38 high-risk patients) could be evaluated after 18 mo (mean 542 ± 110 d). No unwanted effects were observed. After 10 mo, progression was recorded in 2 of 92 test lesions (2%) and in 22 of 92 control lesions (24%) ( P = 0.001, McNemar/Obuchowski test; relative risk reduction, 91; 95% confidence interval, 62%–98%). After 18 mo, lesion progression was recorded in all included patients in 10 of 186 test lesions (5%) and in 58 of 186 control lesions (31%) ( P < 0.001; relative risk reduction, 83; 95% confidence interval, 67%–91%). Thus, resin infiltration seems to be more efficacious in reducing lesion progression compared with individualized noninvasive measures alone over a period of 18 mo when performed in a private practice setting by various practitioners (German Clinical Trials Register / Deutsches Register Klinischer Studien DRKS00009963).

Visual Inspection Displays Good Accuracy for Detecting Caries Lesions

ARTICLE TITLE AND BIBLIOGRAPHIC INFORMATION

Visual inspection for caries detection: a systematic review and meta-analysis. Gimenez T, Piovesan C, Braga MM, Raggio DP, Deery C, Ricketts DN, Ekstrand DR, Mendes FM. J Dent Res 2015;94(7):895-904.

REVIEWER

Svante Twetman, DDS, PhD, Odont Dr

PURPOSE/QUESTION

To evaluate the overall accuracy of visual methods for detecting caries lesions.

SOURCE OF FUNDING

Brazilian government (Process 2012/17888-1).

TYPE OF STUDY/DESIGN

Systematic review with meta-analysis of data

LEVEL OF EVIDENCE

Level 1: Good-quality, patient-oriented evidence

STRENGTH OF RECOMMENDATION GRADE

Grade A: Consistent, good-quality patient-oriented evidence.

Detecting Proximal Secondary Caries Lesions

When choosing detection methods for secondary caries lesions, dentists need to weigh sensitivity, allowing early initiation of retreatments to avoid lesion progression, against specificity, aiming to reduce risks of false-positive diagnoses and invasive overtreatments. We assessed the cost-effectiveness of different detection methods for proximal secondary lesions using Monte Carlo microsimulations. A vital permanent molar with an occlusal-proximal restoration was simulated over the lifetime of an initially 20-y-old. Three methods were compared: biannual tactile detection, radiographic detection every 2 y, and biannual laser fluorescence detection. Methods were employed either on their own or in pairwise combinations at sensitive and specific thresholds estimated with systematically collected data. A mixed public-private payer perspective in the context of German health care was applied. Effectiveness was calculated as years of tooth retention. Net-benefit analyses were used to evaluate cost-effectiveness acceptability at different willingness-to-pay thresholds. Radiographic detection verified by tactile assessment (both at specific thresholds) was least costly (mean, 1,060 euros) but had limited effectiveness (mean retention time, 50 y). The most effective but also more costly combination was laser fluorescence detection verified by radiography, again at specific thresholds (1157 euros, 53 y, acceptable if willingness to pay >32 euro/y). In the majority of simulations, not combining detection methods or applying them at sensitive thresholds was less effective and more costly. Net benefits were not greatly altered by applying different discounting rates or using different baseline prevalence of secondary lesions. Current detection methods for secondary lesions should best be used in combination, not on their own, at specific thresholds to avoid false-positive diagnoses leading to costly and invasive overtreatment. The relevant characteristics, such as predictive value, of different methods should be assessed in longitudinal clinical studies.