Search Results (125)

This critical narrative review presents the concepts and methods that have been or are currently applied in the treatment of periapical tissue changes in mature and immature permanent teeth. Treatment success is defined as the healing of the inflammatory lesion in permanent teeth and, additionally, the completion of root development in immature teeth. Background/Objectives: Endodontics focuses on the prevention and treatment of diseases affecting the dental pulp and periapical tissues. Periapical changes have been managed using various methods depending on factors such as the extent of the lesion and the stage of root and apical development. Conventional root canal treatment, revitalization, and apexification have all been employed. Methods: Three databases (PubMed, Scopus, and Web of Science) were searched for studies discussing different treatment approaches, materials, and the efficacy of techniques used over time in mature and immature permanent teeth. Results: This review includes seven case reports, seven case series, and three cohort studies, each detailing the treatment method, case characteristics, follow-up period, and treatment outcomes. Conclusions: Modern materials have significantly improved the outcomes of revitalization and apexification procedures. These methods can now compete with or even surpass the clinical effectiveness of conventional root canal therapy. Full article

Objectives: The aim of this study was to assess the taxonomic diversity of the microbiota associated with periapical lesions of endodontic origin and to determine whether microbial profiles vary across different populations and clinical characteristics using a unified in silico analysis of next-generation sequencing (NGS) data. Methods: Raw 16S rRNA sequencing data from three published studies were retrieved from the NCBI Sequence Read Archive and reprocessed using a standardized bioinformatics pipeline. Amplicon sequence variants were inferred using DADA2, and taxonomic assignments were performed using BLASTN against a curated 16S rRNA reference database. Alpha and beta diversity analyses were conducted using QIIME 2 and R, and differential abundance was assessed with ANCOM-BC2. Statistical comparisons were made based on population, sex, symptomatology, and other clinical metadata. Results: A total of 38 periapical lesion samples yielded 566,223 high-confidence reads assigned to 347 bacterial species. Significant differences in microbial composition were observed between geographic regions (China vs. Spain), sexes, and symptoms. Core species such as Fretibacterium sp. HMT 360 and Porphyromonas endodontalis were prevalent across datasets. Porphyromonas gingivalis and Fusobacterium nucleatum were found in abundance across all three studies. Beta diversity metrics revealed distinct clustering by study and country. Symptomatic lesions were associated with higher abundance of Alloprevotella tannerae and Prevotella oris. Conclusions: The periapical lesion microbiota is taxonomically diverse and varies significantly by geographic and clinical features. Full article

Background/Objectives: The aim of this study was to identify and assess the independent risk factors and potential predictors for endo-periodontal lesions (EPLs) in endodontically treated teeth with periapical pathology. Methods: The study group included 90 patients (35 men, 55 women; mean age 47.96 ± 13.495 years) with 126 endodontically treated teeth. Following clinical examinations and radiologic evaluation, 50 patients were diagnosed with endo-periodontal lesions (EPLs) in 64 molars (test group); the control group included 62 endodontically treated teeth without EPLs diagnosed in 40 patients. The independent variables were assessed as risk factors for EPLs. The relationship between patients’ demographic and clinical features and endo-periodontal status was assessed using Chi-squared tests for categorical variables and Student’s t- or Mann–Whitney tests for continuous variables, depending on data distribution. The potential risk factors were characterized by calculating Odds Ratios (ORs) with 95% confidence intervals. The variables included in the multivariate logistic regression model were selected based on their clinical relevance and statistical significance in the univariate analysis. To evaluate the combined effect of the identified risk factors, a binary logistic regression model was constructed using the Enter method. Results: Out of the 126 endodontically treated molars with periapical pathology, 64 teeth (50.8%) were diagnosed with endo-periodontal lesions (EPLs). Patients aged ≥60 years were significantly more represented in the EPL group (32.8%) compared to the control group (12.9%) (p = 0.024). Probing pocket depth ≥ 4 mm was present in 85.9% of teeth with EPLs versus only 30.6% in teeth without EPLs (p < 0.001). Probing pocket depth (PPD) ≥ 4 mm was the strongest predictor (OR = 13.830) and remained significant after adjustment in multivariate analysis (OR = 6.585). PPD ≥ 3.625 mm showed a strong association in univariate analysis (OR = 12.587) and preserved significance in the multivariate model (OR = 6.163). Conclusions: This study highlights age ≥ 60 years and PPD ≥ 4 mm as the most significant independent risk factors for EPLs, emphasizing the need for early periodontal assessment in endodontically treated teeth with periapical pathology. While PPD greater than 3.625 mm is a strong indicator of the presence of EPLs, other factors such as MBL (marginal bone loss) and occlusal considerations appear to have indirect roles in EPL development in endodontically treated teeth with periapical lesions. Full article

Objectives: To introduce a novel method for apical lesion sampling using a protected paper point device and to evaluate its effectiveness and robustness during the sampling process in vitro. Methods: A prototype for apical sample collection was developed as an adaptation of the Micro-Apical Placement System—the device features a highly tapered screw head with a thin, hollow, stainless-steel tube and an internal wire piston. Standardized 5 mm paper points (ISO 10; PD Dental, Switzerland) served as carrier material. The prototype was tested using 30 × 3D-printed, single-rooted tooth models inoculated using two bacterial strains (Staphylococcus epidermidis and Escherichia coli) to simulate apical and intraradicular bacterial infections, respectively. The sampling process involved collecting and analyzing samples at specific timepoints, focusing on the presence or absence of E. coli contamination. Following sample collection, cultural detection of bacterial presence was performed by incubating the samples on agar plates to confirm the presence of E. coli. Samples were collected as follows: S0 (sterility control of the prototype), P0 (sterility control of the tooth model), P1 (apical sample collected with the CAPS (controlled apical sampling) device, and P2 (contamination control sample to check for the presence of E. coli inside the root canal). Results: Handling of the CAPS prototype was straightforward and reproducible. No loss of paper points or complications were observed during sample collection. All sterility samples (P0, S0) were negative for tested microorganisms, confirming the sterility of the setup. P2 samples confirmed the presence of E. coli in the root canal in all trials. The P1 samples were free from contamination in 86.67% of trials. Conclusions: The CAPS method for apical sampling demonstrated advances in the successful and precise sample collection of apically located S. epidermidis and will be a useful tool for endodontic microbiological analysis. Its user-friendly design and consistent performance highlight its potential for clinical application, contributing to more accurate microbial diagnostics and later patient-specific therapeutic approaches in endodontic treatments. Full article

Pediatric dentistry continually seeks effective and efficient treatments for young patients, especially within pediatric endodontics, where cooperation can often be challenging. This in vivo study aimed to evaluate the effectiveness of a novel photodynamic therapy (PDT) protocol using a 5-aminolevulinic acid gel (Aladent, ALAD) combined with light irradiation during the endodontic treatment of primary teeth. This study included primary teeth requiring root canal therapy due to carious lesions or trauma, with clinical symptoms suggesting irreversible pulpitis or acute apical periodontitis. Following local anesthesia and isolation with a rubber dam, carious lesions were excavated, and access to the pulp chamber was established. Canal preparation included determining the working length and using a sequence of k-files. Afterward, ALAD gel was applied, and the patients were divided into two groups based on their visit duration (Group A with a single visit, Group B returning after one week). Microbiological analysis was conducted on the samples taken before and after treatment. The findings demonstrated significant antibacterial efficacy of the PDT protocol in reducing root canal bacterial load, suggesting ALAD-based PDT may serve as an alternative to traditional endodontic treatment in cases where retaining primary teeth is essential for orthodontic or strategic reasons. Clinically, improvement in symptoms and fistula resolution were observed. Treatment time, patient compliance, and protocol safety in pediatric applications are also discussed, highlighting the protocol’s potential to enhance clinical outcomes in pediatric endodontics. Full article

Background and Objectives: Periapical healing and bone regeneration are key indicators of endodontic success. This study evaluated the effectiveness of laser-assisted disinfection compared to conventional chemical irrigation in promoting periapical healing across various bone densities (D1–D5), using cone-beam computed tomography (CBCT) over multiple follow-up intervals. Materials and Methods: A total of 120 patients with radiographically confirmed periapical lesions were enrolled and allocated into two groups: an experimental group (n = 60, chemical irrigation + Er,Cr:YSGG laser disinfection) and a control group (n = 60, chemical irrigation only). CBCT scans were obtained at 6 months, 1 year, 2 years, and 2.5 years post-treatment to assess lesion size and CBCT-PAI scores. Lesions were classified radiographically as either well-defined radiolucent lesions or undefined periapical radiolucencies. Paired t-tests and ANOVA were used for statistical comparisons. Results: The experimental group demonstrated significantly greater reductions in lesion size and improvements in CBCT-PAI scores at all time points. Healing was especially enhanced in low-density bone (D4–D5). Complete healing rates were higher in the laser group for well-defined radiolucent (89.5% vs. 68.4%) and undefined lesions (81.8% vs. 59.1%). Post hoc power analysis confirmed statistical reliability (Cohen’s d = 3.48; power > 0.99). Conclusions: Laser-assisted endodontic disinfection significantly accelerates periapical healing and promotes bone regeneration, particularly in low-density bone. CBCT imaging supports its clinical superiority over conventional irrigation methods. Full article

Objectives: The purpose of the study is to evaluate the diagnostic accuracy of artificial intelligence (AI) software in detecting a common set of periodontal and restorative conditions, including marginal bone loss, dental caries, periapical lesions, calculus, endodontic treatment, crowns, restorations, and open crown margins, using intraoral periapical radiographs. Additionally, the study will assess how this AI software influences the diagnostic accuracy of dentists with varying levels of experience in identifying these conditions. Methods: A total of three hundred digital IOPARs representing 1030 teeth were selected based on predetermined selection criteria. The parameters assessed included (a) calculus, (b) periapical radiolucency, (c) caries, (d) marginal bone loss, (e) type of restorative (filling) material, (f) type of crown retainer material, and (g) detection of open crown margins. Two oral radiologists performed the initial diagnosis of the selected radiographs and independently labeled all the predefined parameters for the provided IOPARs under standardized conditions. This data served as reference data. A pre-trained AI-based computer-aided detection (“CADe”) software (Second Opinion^®, version 1.1) was used for the detection of the predefined features. The reports generated by the AI software were compared with the reference data to evaluate the diagnostic accuracy of the AI software. In the second phase of the study, thirty dental interns and thirty dental specialists were randomly selected. Each participant was randomly assigned five IOPARs and was asked to detect and diagnose the predefined conditions. Subsequently, all the participants were requested to reassess the IOPARs, this time with the assistance of the AI software. All the data was recorded using a self-designed Performa. Results: The sensitivity of the AI software in detecting caries, periapical lesions, crowns, open crown margins, restoration, endodontic treatment, calculus, and marginal bone loss was 91.0%, 86.6%, 97.1%, 82.6%, 89.3%, 93.4%, 80.2%, and 91.1%, respectively. The specificity of the AI software in detected caries, periapical lesions, crowns, open crown margins, restoration, endodontic treatment, calculus, and marginal bone loss was 87%, 98.3%, 99.6%, 91.9%, 96.4%, 99.3%, 97.8%, and 93.1%, respectively. The differences between the AI software and radiologist diagnoses of caries, periapical lesions, crowns, open crown margins, restoration, endodontic treatment, calculus, and marginal bone loss were statistically significant (all p values < 0.0001). The results showed that the diagnostic accuracy of operators (interns and specialists) with AI software revealed higher accuracy, sensitivity, and specificity in detecting caries, PA lesions, restoration, endodontic treatment, calculus, and marginal bone loss compared to that without using AI software. There were variations in the improvements in the diagnostic accuracy of interns and dental specialists. Conclusions: Within the limitations of the study, it can be concluded that the tested AI software has high accuracy in detecting the tested dental conditions in IOPARs. The use of AI software enhanced the diagnostic capabilities of dental operators. The present study used AI software to detect a clinically useful set of periodontal and restorative conditions, which can help dental operators in fast and accurate diagnosis and provide high-quality treatment to their patients. Full article

The aim of this study was to explore diabetes mellitus type 2 as a risk factor in the prevalence of chronic apical periodontitis (CAP) in untreated and endodontically treated teeth. The second objective was to describe the correlation between the presence of periapical lesions and blood glucose/glycated hemoglobin levels among diabetic (DM) and non-diabetic patients with endodontically treated or untreated teeth with CAP. Materials and methods: This cross-sectional study was conducted on 90 patients (55 with DM, 35 without DM), admitted to the Oral and Maxillofacial Surgery Department of “St. Spiridon” Hospital in Iași, Romania. Endodontic and perapical status was evaluated using the Periapical Index (PAI) based on clinical and radiological evaluations with blood glucose levels and HbA1c analysis. Statistical analysis included data, correlations and regression analysis, and group comparisons using appropriate parametric or non-parametric tests. DM subjects had a higher mean value of untreated teeth with CAP (2.53 vs. 2.00) compared to the control group (p = 0.010) and a lower mean number of endodontically treated teeth without CAP (1.53 vs. 2.74) compared to the control group (p < 0.001). Diabetic patients also had a higher mean number of root-filled teeth with CAP (3.33 vs. 1.94; p < 0.001). Conclusions: There was a clear association between diabetes and oral pathology, with diabetic patients having fewer teeth, more untreated teeth, and a higher prevalence of periapical lesions. Elevated blood glucose and HbA1c levels indicated that poor metabolic control negatively impacts periapical healing and overall endodontic health. Full article

Interdisciplinary decision-making significantly influences both the therapeutic potential and clinical outcomes, shaping clinical attitudes and management strategies. As the integration between endodontic and restorative-prosthetic considerations becomes increasingly prevalent, it is essential to understand how different dental specialists, particularly general dental practitioners, prosthodontists and endodontists, approach clinical decision-making and collaborate to optimize patient care. Objectives: This study aims to identify practice disparities in post-endodontic crown placement to inform national policy reforms, including standardised timing protocols and interdisciplinary referral criteria. Methods: A structured questionnaire was distributed to dentists practicing in Romania, yielding 238 collected responses. Results: Substantial variability was found in clinical approaches: diagnostic imaging preferences indicated frequent use of periapical radiography (83.49%) and CBCT (53.67%). Over 70% expressed high confidence in CBCT’s diagnostic precision, significantly higher than periapical radiography (Wilcoxon Signed-Rank test, p < 0.00001). A statistically significant majority (69.3%, binomial test, p < 0.001) preferred delaying definitive crown placement until radiographic healing of periapical lesions. Logistic regression analysis showed endodontists were significantly less likely to choose invasive treatments compared to other specialists (p = 0.027). Although clinicians widely recognize the significance of prosthetic planning, its early integration into the overall treatment strategy has been inconsistent. Conclusions: This study points out the necessity for standardised guidelines that clearly integrate prosthetic planning into endodontic decision-making, enhancing predictability and tooth preservation. Full article

Background/Objectives: The aim of this narrative review is to perform an updated literature review of the root canal microbiome in secondary endodontic infections and the bacterial dynamics that govern the processes leading to the development of these persistent endodontic infections and periapical lesions. Methods: A literature search of scientific publications issued in the last 8 years, i.e., 2017–2024, was conducted in PubMed (MEDLINE) and ScienceDirect databases, using the following keywords: endodontic microbiome; endodontic pathogens; periapical lesion; primary endodontic infection; secondary/persistent endodontic infection; functional redundancy. Discussions: Secondary endodontic infections (SEIs) are a highly prevalent pathological condition affecting a minimum of one tooth in more than half of adults worldwide. The transition from primary endodontic infection (PEI) to secondary endodontic infection (SEI) is mainly governed by Enterococus faecalis (EF) that invades and dominates the previous endodontic biofilm initiated by Fusobacterium nucleatum (FN). Conclusions: The findings from different studies indicate that secondary endodontic infections are polymicrobial. In SEIs, the microbial species interactions are crucial in influencing the ecology of infected root canals. The issue of the keynote pathogen is still under debate. Both EF and FN pathogens cooperate with neighboring residents. Functional redundancy of the endodontic microbiome explains how the ecological diversity modulates its pathogenicity. Full article

Objectives: Endodontic microsurgery has become an integral part of daily endodontic practice. However, research on the correlation between the lesion characteristics observed via cone beam computed tomography (CBCT) and pain and swelling after endodontic microsurgery (EMS) is still lacking in the literature. The present study aims to examine the relationship between the radiographic characteristics of preoperative periapical lesions obtained from CBCT images and post-surgical symptoms such as pain and swelling. Materials and Methods: A total of 61 patients undergoing EMS utilizing modern techniques were asked to report their level of pain and swelling at 8, 24, 48, and 72 h after EMS using VAS. Independent variables such as age, gender, tooth location, CBCT periapical index, endodontic diagnosis, cortical bone perforation by the lesion, duration of the EMS, preoperative analgesic consumption, antibiotic prescription, and pre-/postoperative mouthwash were analyzed using the Fisher Exact test. Multivariate regression analysis was also conducted to determine the independent significant factors associated with pain and swelling. A p-value of ≤0.05 was considered statistically significant. Results: The maximum pain score was recorded at 8 h (4.26 ± 3.13), while peak swelling was measured after 24 h (6.46 ± 2.87). The risk of swelling was more likely to decrease by 75.7% for patients with a CBCT index score of >3 than those with a CBCT index score of ≤3 (AOR = 0.243; CI = 0.071–0.831; p = 0.024). The effects of all other factors on pain, including cortical bone perforation by the lesion (p = 0.290), swelling (p = 0.071), postoperative mouthwash use (p = 0.062), and swelling (p = 0.934), did not reach statistical significance. Conclusions: Patients with periapical lesions larger than 4 mm will likely experience less swelling after EMS, while pain is not affected by lesion size, cortical bone perforation, or mouthwash use. Clinical Relevance: This study identified a new predictor of swelling after EMS based on the size of the periapical lesion. These results will improve the management of post-surgical sequelae after EMS and support shared decision making. Full article

Background: Apical surgery can address periapical pathologies when conventional endodontic treatments fail. Advanced platelet-rich fibrin (A-PRF) has emerged as a regenerative material with the potential to enhance healing in periapical surgery. In this study, we evaluated the effect of A-PRF on periapical lesion healing using cone beam computed tomography (CBCT). Methods: A randomized controlled trial at Rīga Stradiņš University Institute of Stomatology included 43 participants (15 males, 28 females; mean age: 44 years) with periradicular lesions. Participants were divided into experimental and control groups. Baseline and follow-up CBCT imaging assessed lesion volumes at 6 and 12 months post-surgery. Results: Mean lesion volumes significantly decreased from 431.4 mm³ at baseline to 102.8 mm³ at 6 months and 49.2 mm³ at 12 months (p < 0.001). A-PRF did not significantly reduce the lesion sizes compared to the controls (p = 0.043), but was associated with reduced inflammation and enhanced soft tissue healing. Key confounders included gender and baseline lesion volume, with males exhibiting smaller lesion sizes postoperatively. Conclusions: The results suggest that A-PRF may not offer a significant advantage in terms of reducing defect size or improving radiographic resolution. Full article

Background/Objectives: Large cystic lesions in the maxillofacial region present a challenge for clinicians due to their impact on the health and functionality of the involved teeth. This longitudinal, ambidirectional cohort study aimed to evaluate the prognosis of vital teeth affected by large cystic lesions following surgical intervention. Methods: Data were gathered from patients at King Abdulaziz University Dental Hospital and King Fahad General Hospital in Jeddah, Saudi Arabia, between July 2021 and August 2022. Seventeen individuals with large jawbone cysts were included in the study. Clinical and radiographic assessments were performed including sensibility testing and the function of teeth. The results indicated a linear relationship between the size of postoperative bony defects and the sensibility testing of teeth. Results: Of the 63 examined teeth, 54% did not receive endodontic treatment, 33% had pre-surgical treatment, and 12.7% had post-surgical treatment. The study revealed a high prevalence of inflammatory cysts, particularly in the maxilla. Surgical enucleation was the primary treatment modality, with few postoperative complications. Conclusions: This study highlights the necessity for standardized follow-up protocols and more extensive research to develop universal guidelines for managing large cystic lesions affecting vital teeth. Understanding the prognosis of cystic lesions is crucial for effective treatment planning and ensuring optimal patient outcomes. Full article

This study aimed to evaluate the effectiveness of two intracanal medications in promoting periapical bone healing following endodontic treatment using radiomics-enabled texture analysis of cone-beam computed tomography (CBCT) images as a novel biosensing technique. By quantifying tissue changes through advanced image analysis, this approach seeks to enhance the monitoring and assessment of endodontic treatment outcomes. Thirty-four single-rooted teeth with pulp necrosis and periapical lesions were allocated to two groups (17 each): calcium hydroxide +2% chlorhexidine gel (CHX) and Ultracal XS^®. CBCT scans were obtained immediately after treatment and three months later. Texture analysis performed using MaZda software extracted 11 parameters based on the gray level co-occurrence matrix (GLCM) across two inter-pixel distances and four directions. Statistical analysis revealed significant differences between medications for S [0,1] inverse difference moment (p = 0.043), S [0,2] difference of variance (p = 0.014), and S [0,2] difference of entropy (p = 0.004). CHX treatment resulted in a more organized bone tissue structure post-treatment, evidenced by reduced entropy and variance parameters, while Ultracal exhibited less homogeneity, indicative of fibrous or immature tissue formation. These findings demonstrate the superior efficacy of CHX in promoting bone healing and underscore the potential of texture analysis as a powerful tool for assessing CBCT images in endodontic research. Full article

Background/Objectives: The role of artificial intelligence (AI) in dentistry is becoming increasingly significant, particularly in diagnosis and treatment planning. This study aimed to assess the sensitivity, specificity, accuracy, and precision of AI-driven software in analyzing dental panoramic radiographs (DPRs) in patients with permanent dentition. Methods: Out of 638 DPRs, 600 fulfilled the inclusion criteria. The radiographs were analyzed by AI software and two researchers. The following variables were assessed: (1) missing tooth, (2) root canal filling, (3) endodontic lesion, (4) implant, (5) abutment, (6) pontic, (7) crown, (8) and sound tooth. Results: The study revealed very high performance metrics for the AI algorithm in detecting missing teeth, root canal fillings, and implant abutment crowns, all greater than 90%. However, it demonstrated moderate sensitivity and precision in identifying endodontic lesions and the lowest precision (65.30%) in detecting crowns. Conclusions: AI software can be a valuable tool in clinical practice for diagnosis and treatment planning but may require additional verification by clinicians, especially for identifying endodontic lesions and crowns. Due to some limitations of the study, further research is recommended. Full article