Journal of Dental Research

Background Alveolar bone assessment in periodontal practice relies on radiography and clinical probing, both of which have well-documented limitations in precision. Intraoral high-frequency ultrasonography (US) offers a radiation-free alternative with potential for sub-millimeter resolution, the validity and precision for detecting minute osseous changes have not been established. The purpose of this study was to evaluate the concurrent validity and measurement precision of intraoral US for detecting alveolar bone-level changes in patients undergoing crown lengthening and osseous surgery, thereby enabling its translation to monitor osseous changes in patients with periodontitis. Methods Ten patients (28 tooth sites) undergoing crown lengthening or osseous surgery at a USC Advanced Grad Perio clinic were enrolled in this prospective observational study. Distance from the cementoenamel junction (CEJ) to the Alveolar bone crest (ABC) was measured at pre- and post-operative time points using a 40 MHz handheld intraoral US transducer and, intraoperatively, by standardized clinical photography. Agreement was assessed by Pearson correlation and Bland-Altman analysis. Measurement precision was quantified using the standard error of measurement (SEM) and minimum detectable change (MDC). Results Preoperative agreement between methods was excellent (r = 0.977; Bland-Altman bias = -0.009 mm; 95% limits of agreement [LoA]: +-0.40 mm). Post-operative correlation remained strong (r = 0.912; bias = 0.123 mm; LoA: -0.85 to +1.10 mm). Both methods detected statistically significant post-surgical increases in the ABC-to-CEJ distance (p < 0.001), as anticipated. US demonstrated substantially superior precision: preoperative SEM 0.058 mm with US versus 0.128 mm clinically, yielding MDC values of 0.160 mm (US) versus 0.354 mm (clinical), providing a 2.2-fold precision advantage. Conclusions Intraoral US demonstrated strong concurrent validity with clinical photography and a reproducible precision advantage in detecting alveolar bone-level changes in patients with periodontitis. These findings support its clinical utility as a radiation-free, high-sensitivity bone monitoring tool. Larger longitudinal studies with CBCT validation are warranted.

BackgroundWhite spot lesions (WSLs) affect up to 95% of patients after fixed orthodontic treatment. These demineralized areas harm aesthetics and may become more visible after tooth bleaching. Resin infiltration offers a micro-invasive masking technique. ObjectiveTo systematically review and meta-analyze the efficacy of resin infiltration for masking post-orthodontic white spot lesions compared with no treatment, placebo, or alternative remineralizing agents. MethodsWe followed PRISMA 2020 guidelines. We searched electronic databases (PubMed Central, Google Scholar, CORE, Epistemonikos, DOAJ) from inception to April 24, 2026, using database-specific search strings. We included randomized controlled trials (RCTs) and prospective clinical studies that evaluated resin infiltration for post-orthodontic WSLs in human participants. The primary outcome was change in lesion visibility. Two authors assessed risk of bias using Cochrane ROB-2 (RCTs) and ROBINS-I (non-randomized studies). We performed a random-effects meta-analysis using R (version 4.3.1; meta package) and estimated between-study variance ({tau}2) with the DerSimonian-Laird method. ResultsTen studies (6 RCTs, 4 prospective cohorts) with 1,204 patients and 3,847 WSLs met the inclusion criteria. Resin infiltration significantly reduced lesion visibility compared with no treatment (standardized mean difference [SMD] = -1.78; 95% CI: -2.24 to -1.32; p < 0.001; I2 = 65%) and compared with fluoride varnish (SMD = -1.42; 95% CI: -1.82 to -1.02; p < 0.001; I2 = 48%). The effect remained stable at 12-24 months. Patient satisfaction ranged from 84% to 94%. Mild transient sensitivity (11%) was the only reported adverse event. Funnel plot inspection showed no obvious small-study effects. ConclusionsResin infiltration shows high efficacy and durability for masking post-orthodontic white spot lesions, with a very large effect size. Clinicians should consider it the first-line minimally invasive aesthetic treatment before any tooth whitening procedure.

BackgroundFriction at the bracket-archwire interface is traditionally considered a key determinant of orthodontic tooth movement efficiency. However, clinical evidence remains inconsistent despite advances in low-friction systems, including self-ligating brackets, coated archwires, and frictionless mechanics. ObjectiveTo evaluate the clinical impact of friction-related interventions on tooth movement, anchorage control, and patient-centered outcomes. MethodsA scoping review with supplementary meta-analysis was conducted following PRISMA-ScR guidelines. Electronic searches of the Cochrane Library (1 systematic review: CD003453), PubMed (128 primary studies), and Google Scholar (approximately 2,500 results, screened to 45 relevant studies) were performed in February 2026 . Randomized controlled trials comparing friction-modifying interventions were included. Primary outcomes included rate of tooth movement, anchorage loss, and molar rotation. Secondary outcomes included pain and treatment duration. Random-effects meta-analysis (DerSimonian-Laird method) was performed using RevMan 5.4; this method was chosen due to expected clinical heterogeneity . Heterogeneity was assessed using the I{superscript 2} statistic and classified using non-overlapping thresholds: 0-40% low, 40-60% moderate, 60-90% substantial, and 90-100% considerable heterogeneity. Risk of bias was assessed using Cochrane RoB 2, and certainty of evidence was evaluated using GRADE. Given the small number of studies, pooled estimates should be interpreted cautiously due to potential small-study effects. ResultsNineteen RCTs were included in quantitative synthesis. Frictionless mechanics did not significantly increase the rate of space closure (MD = 0.15 mm/month; 95% CI: -0.08 to 0.38; P = 0.20; I{superscript 2} = 68% [substantial heterogeneity]) but resulted in significantly greater molar rotation (MD = 6.1 degrees; 95% CI: 4.8 to 7.4; P < 0.001; I{superscript 2} = 45% [moderate heterogeneity]) . Self-ligating brackets showed no consistent advantage in treatment duration or pain reduction. Active self-ligating brackets demonstrated slightly faster alignment than passive systems (MD = 10.24 days; 95% CI: 2.80 to 17.68). Low-friction ligatures and coated archwires did not improve clinical efficiency. Surgical acceleration methods reduced treatment time by 25-50% but increased early discomfort. Low-level laser therapy showed potential for accelerating tooth movement and reducing pain. ConclusionsHigh-level clinical evidence does not support the long-held assumption that reducing friction accelerates orthodontic tooth movement. The evidence fails to demonstrate a clinically meaningful acceleration effect from friction reduction alone. Resistance to sliding appears to be predominantly governed by binding and biological patient response, not friction alone--necessitating a shift in biomechanical strategy. A proposed evidence-informed conceptual model and clinical algorithm are presented to guide decision-making.

Aim: Cross-sectional summaries of periodontitis based on clinical attachment loss (CAL) are, by definition, conditioned on surviving teeth. Because the most severely affected teeth are more likely to have been lost, these measures may underestimate cumulative disease burden and show an artificial flattening (attenuation) of severity with age. We hypothesised that measures more sensitive to severe attachment loss would show greater attenuation at older ages than measures defined across a broader range of sites. Materials and Methods: Using nationally representative data from adults aged 30+ years in NHANES 2009-2014, we examined age-specific trajectories across multiple continuous measures of periodontal severity and assessed whether divergence between measures followed the pattern predicted under severity-dependent tooth loss. Results: The proportion of observable sites declined from 93% at ages 30-34 to 68% at 80+ years, establishing the structural basis for the divergence observed across severity measures. All severity measures showed nonlinear attenuation with age, with distortion increasing with severity threshold. Higher-threshold measures exhibited the greatest attenuation, while lower-threshold measures showed more stable trajectories. Conclusions: Cross-sectional summaries of periodontitis reflect disease among surviving teeth rather than cumulative damage across teeth originally at risk. Attenuation at older ages is consistent with depletion of the most severely affected teeth rather than biological slowing. Distortion varies by measure, with higher-threshold and mean-based indices most affected, whereas the CAL 3+ mm threshold provides a more stable basis for age comparisons.

Relapse of aligned mandibular anterior teeth and the progressive collapse of the mandibular anterior arch are historically striking problems for orthodontists. The etiology of this collapse, and the cause of mesial molar drift, are unknown. However, light continuous (quasi-continuous) intra-oral pressures and forces applied to the mandibular dentition have been implicated. To explore this further, we use three-dimensional finite element analysis to investigate the influence of these intra-oral loads (tongue pressure, lip-cheek pressure, and interdental force) on mandibular arch collapse and mesial molar drift. Dentitions of three-dimensional finite element mandibular models were subjected to a wide range of simulated tongue pressures, lip-cheek pressures, and transseptal fiber-mediated interdental forces reported in the literature. Resulting crown displacement measurements from these isolated loads were made along with measurements resulting from simultaneous combined application of literature-defined mean tongue pressure, lip-cheek pressure, and interdental force. Our results indicate that tongue pressure alone results in generalized arch expansion and tooth spacing while lip-cheek pressure and interdental force result in generalized arch collapse, anterior crowding, and mesial molar displacement. Simultaneous application of tongue pressure, lip-cheek pressure, and interdental force mean values, as would occur in vivo, results in incisor crowding, intercanine width reduction, and mesial molar displacement. Our results suggest mandibular anterior arch collapse (incisor crowding / intercanine width reduction), and mesial molar displacement result from simultaneous application of tongue pressure, lip-cheek pressure, and interdental force.

Background: Periodontitis is defined by cumulative, irreversible tissue destruction, yet population-based measurement typically relies on cross-sectional indicators derived from retained teeth. Destruction that occurred earlier in life, particularly disease severe enough to result in tooth loss, is structurally excluded from these measures, potentially leading to systematic underestimation of lifetime periodontal burden. Objective: To develop and evaluate a measurement framework that estimates lifetime periodontal burden from cross-sectional data by explicitly incorporating informative tooth loss under etiological uncertainty. Methods: Data were drawn from 10,324 adults aged [&ge;]30 years participating in the 20090-2016 National Health and Nutrition Examination Survey (NHANES) who completed full-mouth periodontal examination and glycated hemoglobin (HbA1c) testing. Lifetime periodontal burden was estimated by combining observed clinical attachment loss in retained teeth with probabilistic contributions from missing teeth, using three alternative age-stratified attribution schedules derived from epidemiological studies of periodontal extraction. Performance was compared with conventional measures of periodontal severity and extent using distributional analyses, correlations with HbA1c, discrimination of diabetes status, and relative importance analysis. Age-adjusted models were treated as sensitivity analyses. Results: Estimated lifetime periodontal burden exhibited strong, monotonic age gradients across glycemic categories, in contrast to more attenuated patterns observed for severity and extent. Across attribution schedules, lifetime burden showed stronger correlations with HbA1c ({rho} = 0.30-0.32) than conventional measures. In multivariable models including all indices, lifetime burden retained an independent association with HbA1c, whereas severity and extent contributed little unique information. Discriminative performance for diabetes status was consistently higher for lifetime burden than for conventional measures and remained stable across attribution schedules. Conclusions: Lifetime periodontal burden can be estimated from cross-sectional data by explicitly modelling informative tooth loss rather than restricting measurement to retained teeth. Incorporating historical tissue loss under uncertainty yields a more coherent representation of cumulative periodontal destruction than snapshot-based measures and provides a methodological basis for life-course-oriented periodontal epidemiology.

BackgroundRadiographic detection of caries lesions adjacent to restorations is challenging due to limitations of two-dimensional imaging and difficulties distinguishing true lesions from restorative or anatomical radiolucencies. Artificial intelligence (AI)-based clinical decision support systems (CDSSs) have been introduced to assist radiographic interpretation; however, different AI tools may yield variable diagnostic outputs, and their comparative performance remains unclear. ObjectiveTo compare the diagnostic performance of commercial and experimental AI algorithms for detecting secondary caries lesions on bitewings. MethodsThis cross-sectional diagnostic accuracy study included 200 anonymized bitewings comprising 885 restored tooth surfaces. A consensus group reference standard identified all surfaces with a caries lesion and classified each lesion by type (primary/secondary) and depth (enamel-only/dentin-involved). Five commercial (Second Opinion(R), CranioCatch, Diagnocat, DIO Inteligencia, and Align X-ray Insights) and three experimental (Mask R-CNN-based and Mask DINO-based) systems were tested. Diagnostic performance was expressed through sensitivity, specificity, and overall accuracy (95% CI). Comparisons used generalized estimating equations, adjusted for clustered data. ResultsSpecificity was high across all systems (0.957-0.986), confirming accurate recognition of non-carious surfaces, whereas sensitivity was moderate (0.327-0.487), reflecting frequent missed detections of enamel and dentin lesions. Accuracy ranged from 0.882 to 0.917, with no significant differences among models (p [&ge;] 0.05). Confounding factors, such as radiographic overlapping, marginal restoration defects, and cervical artifacts, were the main sources of misclassification. ConclusionsAI algorithms, regardless of architecture or commercial status, showed similar diagnostic capabilities and a conservative detection profile, favoring specificity over sensitivity. Improvements in dataset diversity, labeling precision, and explainability may further enhance reliability for secondary caries detection. Clinical SignificanceAI-based CDSSs assist clinicians by providing consistent detection. Their high specificity is particularly valuable in minimizing unnecessary invasive treatments (overtreatment), though they should be used as adjuncts rather than a replacement for expert judgment.

This cross-sectional study evaluated the association of tooth loss and oral health-related quality of life (OHRQoL) with sexual function in adult women attending a primary dental care service. Methodology: Ninety-nine sexually active women aged 19-66 years were consecutively recruited from a primary dental care service between January and October 2023. Tooth loss was quantified by standardized oral examination. OHRQoL was assessed using the Oral Health Impact Profile-14 (OHIP-14), and sexual function was assessed using the Female Sexual Function Index (FSFI). Sexual dysfunction was defined as FSFI <=26.5. Spearman rank correlation was used for bivariate analyses. Multivariable logistic regression was used to evaluate factors associated with sexual dysfunction, including number of missing teeth, OHIP-14 score, age, and relationship status. Results: Tooth loss was present in 83.8% of participants, with a median of 4 missing teeth (interquartile range [IQR], 1-10). Sexual dysfunction was identified in 62.6% of women. FSFI scores were negatively correlated with number of missing teeth (rho = -0.407; p < 0.001), OHIP-14 score (rho = -0.279; p = 0.005), and age (rho = -0.334; p < 0.001). In multivariable logistic regression, OHIP-14 score was independently associated with sexual dysfunction (OR = 1.05; 95% CI, 1.01-1.10; p = 0.015), whereas number of missing teeth was not independently associated after adjustment. Conclusion: Worse OHRQoL was independently associated with sexual dysfunction, whereas tooth loss was associated with lower FSFI scores only in bivariate analysis. These findings are compatible with the hypothesis that the impact of tooth loss on sexual function may be partly explained by oral health-related quality of life, but longitudinal studies are required to test causal and mediational pathways. Keywords: tooth loss; oral health; quality of life; sexual dysfunction, physiological; women; cross-sectional studies

BackgroundTrauma from occlusion (TFO) is a frequently under-recognized clinical entity. While narrative reviews exist, no prior systematic review has quantitatively synthesized the prevalence of TFO signs in orthodontic patients, the distribution of the Akerly classification for deep traumatic overbite, the efficacy of orthodontic intrusion, or the outcomes of immediate orthodontic repositioning of traumatized incisors. Furthermore, the knowledge-practice gap among orthodontists regarding trauma management has not been meta-analyzed. MethodsSystematic review and meta-analysis of observational and interventional studies, including cross-sectional studies, randomized controlled trials, and before-after studies. We searched PubMed (n=57), PubMed Central (n=538), the Cochrane Library (n=11: 2 reviews, 9 trials), and Google Scholar (~3,930) up to December 2025. Studies reporting prevalence of TFO signs, Akerly classification distribution, overbite reduction following orthodontic intrusion, success of immediate orthodontic repositioning, or orthodontist knowledge/practice were included. Random-effects meta-analyses were performed using the meta package in R (DerSimonian-Laird estimation for {tau}2). The protocol was not registered due to the exploratory nature of this multi-domain synthesis; however, the methodology strictly adhered to PRISMA 2020 guidelines. ResultsTwenty-seven studies (n=8,432 participants) were included. The pooled prevalence of any TFO sign was 34% (95%CI:27-42%, I2=86%), with wide prediction intervals indicating substantial between-study variability. TFO was variably defined across studies as the presence of [&ge;]1 of the following: fremitus, increased mobility, occlusal interference, soft tissue trauma, or CR-CO discrepancy. Higher prevalence was observed in Class II malocclusion (46% vs. 22%). Among deep traumatic overbite cases classified using the Akerly system, Type II was most common (52%, 95%CI:44-60%), followed by Type I (31%) and Type III (17%). Orthodontic intrusion reduced overbite by a mean of 2.8 mm (95%CI:2.1-3.5, I2=72%); TAD-assisted intrusion produced greater reduction (3.4 mm) than conventional archwires (2.1 mm, p<0.001). Immediate orthodontic repositioning of traumatized incisors with light forces ([&le;]50 g) achieved 91% success (95%CI:84-96%) at 12 months, comparable to splinting (84%), with no statistically significant difference between groups. The orthodontic group required fewer visits and reported better comfort. Meta-analysis of orthodontist knowledge showed correct awareness of specific trauma management protocols was below 40% in most domains, indicating a substantial evidence-practice gap. ConclusionThis first systematic review and meta-analysis on TFO in orthodontics provides preliminary quantitative benchmarks. One-third of orthodontic patients exhibit TFO signs; Akerly Type II is the dominant deep overbite pattern; orthodontic intrusion effectively reduces overbite by approximately 3 mm; immediate light-force repositioning is comparable to splinting in success and superior in efficiency. However, the disconnect between high clinical efficacy (e.g., 91% success of repositioning) and low practitioner awareness (<40%) represents a substantial translational gap in clinical practice. Assessment of publication bias was limited due to the small number of studies in several analyses (<10), precluding reliable funnel plot interpretation.

IntroductionDiscrimination within oral health care settings is increasingly recognized as a contributor to oral health inequities, shaping patient trust, care-seeking behaviors, and health outcomes. While prior research has documented discriminatory experiences among racially and ethnically minoritized populations, nationally representative evidence on discrimination and dignity in dental care among LGBTQ+ adults remains limited. This study examines differences in discrimination and microaggressions in dental settings by LGBTQ+ status, sexual orientation, and gender identity. MethodsThis study analyzed pooled data from the 2022-2025 waves of the State of Oral Health Equity in America (SOHEA) survey, a nationally representative survey of U.S. adults aged 18 and older. Discrimination was measured using the Everyday Discrimination Scale-Oral Care (EDSOC), and microaggressions were assessed using the Dignity in Oral Care Scale (DOCS). Descriptive and bivariate analyses compared mean scores across identity groups. Multivariable linear regression models estimated associations between LGBTQ+ status, sexual orientation, and gender identity with EDSOC and DOCS scores, adjusting for sociodemographic characteristics and dental insurance status. Analyses focused on group differences and associations and were conducted without applying survey weights. ResultsThe analytic sample included 15,591 adults from the 2022-2025 SOHEA surveys with complete data (52.5% of the total N=29,679); 12% identified as LGBTQ+. Overall, LGBTQ+ individuals in the analytic sample reported significantly higher mean discrimination (EDSOC: 2.97, SD=4.99) and microaggression (DOCS: 2.19, SD=3.22) scores than non-LGBTQ+ individuals (EDSOC: 1.72, SD=3.79; DOCS: 1.62, SD=2.80; p<0.001). Questioning individuals and those with gender identities categorized as "other" had the highest mean EDSOC and DOCS scores (p<0.001). In adjusted models controlling for sociodemographic and insurance factors, LGBTQ+ identity remained significantly associated with higher EDSOC ({beta}=0.16, 95% CI=0.11-0.21) and DOCS ({beta}=0.08, 95% CI=0.03-0.13) scores. Sexual orientation and gender identity differences persisted, with questioning and gender-diverse individuals experiencing significantly higher levels of discrimination and microaggressions in dental settings. DiscussionFindings demonstrate that LGBTQ+ adults, particularly adults identifying as questioning and those with nonbinary or other gender identities, experience disproportionate discrimination and microaggressions in dental care settings. Addressing interpersonal and structural sources of bias in oral health care is critical to advancing equity and improving access to respectful, high-quality care for LGBTQ+ populations.

Background: Higher education has been transformed by the rapid integration of generative artificial intelligence (GenAI) tools into academia. The objective of the present study was to examine how and for what purposes senior undergraduate dental students use GenAI tools in academic assignments. Methods: This cross-sectional study uses data from three written assignments submitted by two consecutive cohorts of graduating fourth-year dental students at the Faculty of Dentistry at the University of British Columbia, for a total of 120 students. The assignments focused on different subjects where students had to offer their views, including community water fluoridation. When using GenAI, students were asked to disclose whether and how such tools were used, and for what purpose. Descriptive statistics (e.g., means, frequencies, and proportions) were conducted via IBM SPSS Statistics (Version 27.0). Results: From the two cohort of students, 102 (85%) disclosed the use of GenAI tools in at least one assignment; of these, 69 (67.6%) reported using these tools in all three assignments. ChatGPT was by far the most frequently used GenAI tool, reported by 89 students (87.2%). Nine students (8.8%) did not specify which tool they had used. The majority of the students (91.2%, n = 93) reported using GenAI for proofreading or grammatical editing. About 9.8% of the students (n = 10) reported more substantive uses, such as relying on GenAI to generate in part or in full the assignment, and/or assessing the credibility of references. Conclusions: In our study, the use of GenAI tools was highly prevalent among senior undergraduate dental students for editorial purposes. A smaller but notable proportion of students engaged in more substantive uses that may carry academic and ethical risks. There is a need for structured AI literacy training and clear, dentistry-specific guidelines to promote responsible and transparent use while safeguarding critical thinking, academic integrity, and professional judgment in dental education.

Background: Accurately identifying patients who will require opioids after third molar extraction could improve pain management while supporting opioid stewardship. This study evaluated surgeon accuracy in predicting supplemental opioid use following treatment with ibuprofen and acetaminophen. Methods: Patients (N=85) undergoing third molar extraction were treated with a standardized analgesic regimen of ibuprofen+acetaminophen, with supplemental opioid if needed. Four surgeons independently reviewed preoperative radiographs, assessed surgical difficulty using the Pederson scale, and rated the likelihood of supplemental opioid use on a 5-point Likert scale. Inter-rater reliability was assessed using intraclass correlation coefficients (ICC). The relationship between surgeon ratings and postoperative opioid use was evaluated using logistic regression and receiver operating characteristic (ROC) analysis. Results: Seventeen patients used supplemental opioid analgesics. Inter-rater reliability among surgeons was moderate (ICC3=0.606, 95%CI: 0.505-0.700), while reliability of the average rating across surgeons was good (ICC3k = 0.860, 95% CI: 0.804-0.903). Median surgeon rating was not associated with postoperative opioid use (OR: 0.800, 95% CI: 0.414-1.51, p=0.496) and demonstrated poor discrimination (AUC: 0.551, 95% CI: 0.392-0.710). Surgeon ratings were positively associated with Pederson score (beta=0.073, 95%CI: 0.050-0.096; p<0.001). Conclusions: Surgeons demonstrated moderate agreement, but these assessments did not accurately identify patients who ultimately required supplemental opioids. Surgeon judgments appeared to be influenced by anticipated surgical difficulty. Practical Implications: Clinicians should follow current recommendations against routine "just-in-case" opioid prescribing after third molar extraction. Future studies should focus on identifying clinical and biological predictors of inadequate analgesic response to NSAIDs to support individualized pain management strategies.

We conducted a multi-ancestry genome-wide association study (GWAS) of developmental defects of enamel (DDE) in the primary dentition among 6,061 U.S. preschool-aged children (3--5 years). We investigated four DDE phenotypes (demarcated opacities, diffuse opacities, hypoplastic defects, and a combined DDE trait) leveraging main-effect models, joint gene-sex interaction testing (2df), and sex-stratified analyses. SNP-based heritability for the combined DDE trait was estimated at 20%, with concordance analyses robustly supporting a genetic etiology. We identified 39 unique genome-wide significant loci (P<5 x 10-8;), with five surpassing a study-wide Bonferroni-corrected statistical significance criterion (P<1.25 x 10-9), including Y RNA and ALDH1A1. The main-effect GWAS identified 20 loci, including HBS1L and MYB, genes regulating hematopoiesis with plausible roles in amelogenesis. Joint test and sex-stratified analyses revealed 19 additional loci, including ALDH1A1, TENM2, and DLGAP2, demonstrating sex-specific heterogeneity. Nineteen loci exhibited sex-specific differences after Bonferroni correction (P<2 x 10-3), including genes involved in retinoic acid signaling (ALDH1A1), odontogenesis (TENM2), and neurodevelopment (DLGAP2, CDH10). Pathway enrichment highlighted ectodermal and synapse organization networks, suggesting shared etiological mechanisms between DDE and systemic conditions like neurofibromatosis and autism spectrum disorder. Notably, no locus generalized in an external GWAS of permanent dentition DDE, underscoring fundamental biological differences in the genetic architectures governing primary versus permanent enamel formation. Crucially, a comprehensive cross-trait pleiotropy lookup against early childhood caries (ECC) revealed no shared genetic architecture, supporting the notion that the established clinical and epidemiological association between DDE and ECC is likely driven by structural defects increasing caries lesion susceptibility rather than genetic pleiotropy. By integrating gene-sex interaction testing, this study offers novel insights into the complex, sexually dimorphic genetic etiology of DDE and augments the biological evidence base that can support the development of precision pediatric dentistry.

This study compared and evaluated two widely used deep learning-based artificial intelligence (AI) models, U-Net++ and YOLOv11, for quantifying tooth and root exposure on intraoral camera images of the mandibular anterior lingual region. Intraoral images of the mandibular anterior lingual region were collected from 291 patients (mean age, 52.8 years) at a university hospital dental clinic with institutional review board approval (YUMC IRB 2021-07-019-002). A total of 266 eligible images (mean, 5.50 teeth per image; 3.70 teeth with root exposure) were annotated. YOLOv11 and U-Net++ were fine-tuned using five-fold cross-validation with data augmentation. Model performance was evaluated on a held-out test set of 40 images using Dice coefficient, Intersection over Union (IoU), accuracy, mean Average Precision at an IoU threshold of 0.5 (mAP50), Lins concordance correlation coefficient (CCC), and intraclass correlation coefficient (ICC). Confidence intervals were estimated using 10,000 bootstrap iterations. For tooth segmentation, U-Net++ demonstrated superior performance, with high accuracy (0.981), Dice coefficient (0.971), and IoU (0.944). In contrast, for root segmentation, YOLOv11 outperformed U-Net++, achieving higher Dice (0.860 vs. 0.746) and IoU (0.762 vs. 0.631). Notably, YOLOv11 showed stronger agreement with the ground truth for quantifying the exposed root ratio (ERR) (CCC, 0.973; ICC, 0.975). These findings suggest that accurate detection of root exposure is important for assessing periodontal tissue loss and that YOLOv11 is a promising model for root exposure quantification in intraoral images. YOLOv11-based quantification of root exposure may serve as a useful adjunctive AI tool for screening and monitoring periodontal conditions and may support individualized treatment planning.

ObjectiveX-linked Hypophosphatemia is associated with dental complications, including spontaneous endodontic infections (abscesses) in non-carious teeth and severe periodontal loss. Previous studies have mainly focused on dentin Hypomineralization; however, the structural basis underlying periodontal tissue failure remains unclear. We aimed to investigate histoanatomical abnormalities in the dentin and periodontium of Hyp mice to clarify structural consequences of Phex deficiency in adult molars. MethodsWe performed detailed histological and scanning electron microscopy analyses on the molar regions of untreated adult Hyp mice and wild-type littermates, with particular attention to the structural integrity of the root and periodontal ligament. Additionally, odontoblast process morphology and periodontal attachment abnormalities were evaluated. ResultsHyp molars exhibited marked root abnormalities, including radicular shunt-like defects and disorganized odontoblast processes, particularly in furcation and radicular dentin. Periodontal attachment showed characteristic asymmetry: detachment from the cementum surface was frequently observed, whereas attachment to the alveolar bone surface was relatively preserved. These changes were accompanied by thinning and discontinuity of Sharpeys fibers and increased vascularity in the periodontal ligament. ConclusionsThese findings provide a histoanatomical framework for understanding refractory dental complications in X-linked hypophosphatemia and support the importance of intervention during root development.

BackgroundCommercial dental artificial intelligence in 2026 is over-whelmingly diagnostic: caries, calculus, periapical, and bone-level detection on radiographs. The clinically harder question that follows every diagno-sis -- given a patients chart and most recent procedure, what should the dentist do next -- remains unsolved at general-dentistry scale. The closest published system, MultiTP (Chen et al., 2024), is a CNN-RNN restricted to partial-edentulism cases and provides neither calibrated uncertainty, structured rationale, nor an evaluation that treats the model as decision support rather than as an autonomous classifier. MethodsWe introduce DentaCoPilot, a recommender that, given a structured chart, returns (i) a calibrated top-K probability distribution over Current Dental Terminology (CDT) codes for the next procedure, (ii) a verbalised confidence label, (iii) an explicit abstain flag when context is insufficient, and (iv) a chartgrounded rationale. We compare four classical baselines (frequency bigram, TF-IDF + logistic regression, XGBoost, MultiTP-style CNN-RNN) and six large-language-model (LLM) variants (Claude Haiku, Sonnet + chain-of-thought, Sonnet + retrieval, Opus + chain-of-thought, Sonnet + classical prior, Opus + classical prior) on a synthetic chart corpus of 500 patients (1,284 test examples). All LLM inference is routed through the local Anthropic Claude Code CLI; every call is logged for full audit. ResultsOn apples-to-apples evaluation, classical baselines reach 0.567 top-1 / 0.967 top-5; pure LLM variants trail at 0.267-0.467 top-1. Prompt-conditioning a Sonnet LLM on the classical baselines top-10 candidates (M5) closes the gap: top-5 rises from 0.733 (pure Sonnet + chain-of-thought) to 0.933, matching classical baselines, while preserving rationale and abstention. Increasing the LLM backbone from Sonnet to Opus does not improve accuracy with or without priming. Calibration via temperature scaling and coverage-risk analysis is reported for the baselines. ConclusionPrompt-conditioning a small LLM on a classical baselines top-K is the most cost-effective LLM design we tested for next-procedure recommendation, and the design preserves the augmentation features that distinguish the system from an autonomous classifier. A pre-registered clinician-in-the-loop evaluation at the KLE Vish-wanath Katti Institute of Dental Sciences (Belgaum, India) and a real-data evaluation on the multi-institutional BigMouth dental data repository are the next stage of work.

Background/Objectives Dental anxiety remains a significant psychological barrier to oral healthcare, particularly for invasive surgical procedures such as tooth extraction. Aromatherapy using Lavandula angustifolia (lavender) has been proposed as a non-pharmacological adjunct to manage acute preoperative anxiety. This clinical trial evaluated the efficacy of inhaled lavender essential oil on anxiety severity in patients awaiting elective single-tooth extraction. Methods An assessor-blinded randomized controlled clinical trial with limited participant blinding (inherent to the recognizable scent of the intervention), registered with the Iranian Registry of Clinical Trials (IRCT20190920044824N1), was conducted among 60 patients requiring non-surgical tooth extraction. Participants were randomly assigned to an intervention group (n=30), receiving two drops of pure lavender essential oil on a sterile gauze for 20 minutes of inhalation, or a control group (n=30), receiving sweet almond oil as an olfactory placebo. The primary outcome was the severity of somatic anxiety symptoms, measured pre- and post-intervention using the Beck Anxiety Inventory (BAI). Because a significant baseline-by-treatment interaction was detected, a General Linear Model (GLM) retaining this interaction term was used to estimate adjusted group means at the grand-mean baseline, with bootstrap 95% confidence intervals (10,000 resamples). Two pre-specified checks of robustness were performed: (i) an unadjusted, baseline-naive Mann-Whitney U comparison of raw post-intervention scores, and (ii) a sensitivity analysis re-fitting the adjusted model after excluding two baseline outliers identified by inspection of model residuals. Results There were no significant baseline differences between the intervention and control groups regarding sex distribution (p=0.100), mean age (p=0.479), or pre-intervention BAI scores (Mann-Whitney p=0.215). A significant baseline-by-treatment interaction was detected (p<0.001). In the full sample (n=60), the baseline-adjusted GLM estimated a lower post-intervention BAI mean in the intervention group (22.38) than the control group (23.09), an adjusted difference of -0.71 (bootstrap 95% CI: -1.41 to -0.06; p=0.028). However, this signal was not robust: after excluding two patients identified as outliers in the model residuals (n=58), the adjusted difference attenuated to -0.51 and was no longer statistically significant (bootstrap 95% CI: -1.11 to 0.10; p=0.098). The unadjusted comparison of raw post-intervention scores was likewise not significant in the full sample (Mann-Whitney p=0.754). Conclusions A baseline-adjusted analysis of this trial produced an initial signal suggesting a small anxiolytic effect of inhaled lavender, but this signal was not stable under a pre-specified outlier-exclusion sensitivity analysis and was not supported by the unadjusted comparison of raw scores. Taken together, the totality of evidence from this trial is insufficient to conclude that inhaled lavender aromatherapy produces a reliable reduction in acute preoperative dental anxiety. Beyond its clinical findings, this trial offers a concrete, quantified illustration of how baseline imbalance and a small number of influential observations can generate a fragile, model-dependent treatment signal in a modestly sized randomized trial, a methodological caution directly relevant to the design and analysis of future small RCTs in dental and complementary medicine research.

Orofacial clefts (OFCs), including cleft lip (CL), cleft palate (CP), and cleft lip with cleft palate (CLP), are among the most common craniofacial malformations in humans, with a birth prevalence of approximately 1 in 1,000 live births globally. Non-syndromic forms of OFC are predominantly genetic, with significant variability in prevalence across populations. Understanding the genetic underpinnings of OFCs remains a key public health priority, given the substantial medical and societal burden of these conditions. Recent genome-wide association studies (GWAS) have implicated numerous genetic loci, but challenges remain due to genetic heterogeneity and complex gene-environment interactions. This study aimed to identify sex-specific genetic risk factors for cleft lip with or without cleft palate (CL/P) through a meta-analysis of whole genome sequencing (WGS) data from 1,922 case-parent trios across eight diverse cohorts. Our approach revealed four SNPs in three distinct regions that showed genome-wide significant sex-specific effects. However, despite each of these SNPs passing standard quality control filters, follow-up analyses showed that these signals most likely were technical artifacts caused by sequencing errors, in particular mis-mapped reads due to sequence similarities with the sex chromosomes. These findings highlight the necessity for careful scrutiny when studying differences between the sexes in genetic association studies.

IntroductionTo investigate the effects of chronic hypoxic exposure simulating heavy-industrial environments on the viability, metabolic activity, stemness preservation, and osteogenic differentiation potential of human dental pulp stem cells (hDPSCs). MethodsCommercially available hDPSCs were cultured under controlled oxygen tensions representing surface atmospheric conditions (21% O2), moderate hypoxia (10% O2), deep hypoxia (5% O2), and severe hypoxia (1% O2). Cells were maintained for 1, 3, and 7 days. Cell viability was evaluated using MTT and Live/Dead assays. Reactive oxygen species (ROS) accumulation, mitochondrial membrane potential, and apoptosis were assessed using fluorescent probes and Annexin V/PI staining. Stemness marker expression (SOX2, OCT4, NANOG) and osteogenic markers (RUNX2, ALP, OCN) were analyzed via RT-qPCR. ResultsModerate hypoxia (10% O2) promoted transient increases in stemness marker expression and preserved metabolic activity. Severe hypoxia (1% O2) significantly reduced cell viability, increased ROS accumulation, disrupted mitochondrial integrity, and elevated apoptotic cell populations after prolonged exposure (p < 0.05). Osteogenic differentiation markers were significantly downregulated under severe hypoxic conditions. ConclusionsIndustrial hypoxic environments critically influence pulpal stem cell physiology and regenerative potential. While moderate oxygen reduction may transiently preserve stemness characteristics, chronic severe hypoxia impairs viability and osteogenic functionality. Chronic low-oxygen occupational environments may alter endogenous dental regenerative mechanisms and influence oral tissue healing responses.

This protocol describes a standardized and reproducible minimally invasive approach for establishing mouse models of bisphosphonate-related osteonecrosis of the jaw (BRONJ) and osteoradionecrosis of the jaw (ORNJ). The method combines a unified low-trauma oral surgical procedure with disease-specific injury induction strategies to generate robust and clinically relevant models of jaw osteonecrosis. For BRONJ, systemic zoledronic acid administration is coupled with mandibular first molar extraction using tape-assisted mouth opening and customized bent micro-forceps, minimizing soft tissue damage and reducing procedural variability. For ORNJ, a customized lead-shielding platform enables precise, noninvasive mandible-targeted irradiation, producing reproducible bone injury while limiting off-target radiation exposure. Together, these complementary models provide a consistent and minimally invasive framework for investigating jaw osteonecrosis arising from distinct etiologies. The protocol supports comprehensive downstream analyses, including micro-computed tomography, histology, and immunofluorescence, and facilitates mechanistic studies of disease pathogenesis, bone regeneration, and therapeutic intervention.