Lack of basic knowledge about the external and internal anatomies of the root canal system and common variations in teeth may lead to various procedural errors or treatment failure. In this study, the root canal configurations of mandibular incisors and the symmetry of the contralateral incisors of Saudi Arabian subpopulations were analyzed and determined using cone beam computed tomography (CBCT). A retrospective evaluation of 700 patients was conducted, and 1260 fully developed permanent mandibular central incisors were assessed. The number of root canals was determined, and the internal root canal anatomies were categorized based on Ahmed et al.’s criteria. The CBCT images were independently evaluated by 2 trained dentists and an endodontist. The data were assessed using the chi-square and one-way analysis of variance tests. All the mandibular central incisors included in the study were single-rooted. According to Ahmed et al’s classification system, the most common classification (82.6%) was ¹ManA¹ (Vertucci type I), followed by ¹ManA^1-2-1 (Vertucci type III; 13%). Second canals were more frequently recorded in the male participants than in the female participants. The root canal configuration between contralateral incisors was largely symmetrical. Most of the mandibular incisors in the examined Saudi Arabian population had a single canal. Nevertheless, a substantial number of patients had a complex root morphology. Hence, CBCT can be utilized as a potential supplementary tool during root canal treatment.

Porphyromonas gingivalis is associated with endodontic pulpitis, causing damage to the dental pulp, leading to severe pain and a decline in quality of life. Regenerative pulp treatments using dental pulp stem cells (DPSCs) can be hindered by interactions between DPSCs and the infecting bacteria. The protein WNT family member 4 (Wnt4) plays a critical role in the differentiation of DPSCs and the regeneration of odontogenic tissue. However, the specific influence of P. gingivalis on Wnt4 remains unclear. In this study, we employed a computational approach to investigate the underlying mechanisms through which P. gingivalis-produced metabolites inhibit the Wnt4 protein, thereby diminishing the regenerative potential and therapeutic efficacy of odontogenic tissue. Among the metabolites examined, C₂₉H₄₆N₇O₁₈P₃S⁻⁴ exhibited the strongest inhibitory effect on the Wnt4 protein, as evidenced by the lowest binding energy score of −6782 kcal/mol. Molecular dynamic simulation trajectories revealed that the binding of C₂₉H₄₆N₇O₁₈P₃S⁻⁴ significantly altered the structural dynamics and stability of the Wnt4 protein. These alterations in protein trajectories may have implications for the molecular function of Wnt4 and its associated pathways. Overall, our findings shed light on the inhibitory impact of P. gingivalis-produced metabolites on the Wnt4 protein. Further in vitro, in vivo, and clinical studies are necessary to validate and expand upon our findings.

Accreditation processes are extensively employed to guarantee the quality of higher education institutions. However, this process can potentially generate a stressful atmosphere for staff, thus impacting their ability to perform optimally under pressure. To examine the knowledge of the National Commission for Academic Assessment and Accreditation (NCAAA) and its effects on perceived stress among dental college staff before and after the program accreditation process. The present cross-sectional questionnaire-based study included 300 employees from three dental colleges. The same employees had to fill out the questionnaire 1 mo after the NCAAA process. Approximately 51.33% of the included employees believed that NCAAA is essential to attract quality students to join the program before and after the program. A total of 44.67% felt that their stress was high before, and 31.33% had low stress levels before and after NCAAA. These findings were statistically significant (P ≤ 0.05). NCAAA raised the prestige of the institution and specific programmes and increased prospects to attract better students, staff, and money, according to the employees. In addition to their needed teaching, research, and other service responsibilities, this work requires a tremendous amount of faculty effort and may cause them stress.

Background: An understanding of root canal morphology is vital for successful endodontic treatment. However, variations in the root canal system of permanent canines, especially in relation to population-based diversity, are not well-documented. This study thus aimed to analyze the root canal numbers, configurations, and bilateral symmetry in 1080 permanent canine teeth among 270 Saudi individuals using cone-beam computed tomography (CBCT), contributing to the existing body of knowledge and aiding clinicians in devising effective treatment strategies. Material/Methods: The CBCT images of 270 participants, encompassing 1080 canines (540 pairs of upper and lower canines), were scrutinized for root and canal counts. Canal configurations were assessed based on Ahmed's and Vertucci's classifications. Bilateral symmetry in these parameters was recorded and the data were statistically analyzed. Results: The study revealed variable prevalence of multiple roots and canals in maxillary and mandibular canines. Ahmed's and Vertucci's type I canal configuration was predominantly observed. Notably, significant bilateral symmetry was noted in root and canal numbers, and canal configurations. Conclusions: The most common configuration of permanent canines was a single root and canal, usually adhering to Ahmed's and Vertucci's type I classification. Mandibular canines showed a higher incidence of two canals than two roots. The extent of bilateral symmetry, especially in mandibular canines, could provide valuable insights for better contralateral tooth treatment planning.

Background/Objectives: Vertical root fractures (VRFs) present significant diagnostic challenges due to their subtle radiographic features and variability across imaging modalities. Artificial intelligence (AI) offers potential to improve detection accuracy, yet evidence regarding its performance across different imaging systems remains fragmented. To critically evaluate current evidence on AI-assisted detection of VRFs across periapical radiography, panoramic radiography, and cone-beam computed tomography (CBCT) and to compare diagnostic performance, methodological strengths, and limitations. Methods: A systematic review of literature up to January 2025 was carried out using databases such as PubMed, Scopus, Web of Science, and the Cochrane Library. The studies included in this review utilized AI-based techniques for detecting VRF through periapical, panoramic, or CBCT imaging. Extracted data encompassed study design, AI models, dataset sizes, preprocessing methods, imaging parameters, validation techniques, and diagnostic metrics. The risk of bias in these studies was evaluated using the QUADAS-2 tool. Results: Ten studies met inclusion criteria; CNN-based models predominated, with performance highly dependent on imaging modality. CBCT-based AI systems achieved the highest diagnostic accuracy (91.4–97.8%) and specificity (90.7–100%), followed by periapical radiography models with accuracies up to 95.7% in controlled settings. Panoramic radiography models demonstrated lower sensitivity (0.45–0.75) but maintained high precision (0.93) in certain contexts. Most studies reported improvements over human performance, yet limitations included small datasets, heterogeneous methodologies, and risk of overfitting. Conclusions: AI-assisted VRF detection shows promising accuracy, particularly with CBCT imaging, but current evidence is constrained by methodological variability and limited clinical validation.