Frontiers in dental medicine最新文献

{"title":"Retrospective analysis of common diseases in pediatric oral emergency patients of Ningbo.","authors":"Jun-Ji Xu, Lan-Qiu Lv, Shanshan Guo","doi":"10.3389/fdmed.2025.1533546","DOIUrl":"10.3389/fdmed.2025.1533546","url":null,"abstract":"<p><strong>Background: </strong>With the increase in the resident population and the number of children in Ningbo, as well as the growing demand for oral health care, the number of children's dental emergencies has been increasing year by year. This trend not only increases the pressure on medical resources, but also puts higher demands on the level of children's oral emergency care. In order to better guide the diagnosis and treatment of common and frequent diseases in paediatric oral emergency care, and to improve the efficiency of the use of medical resources. A retrospective report is needed to provide a valuable reference for improving the level of paediatric oral emergency care.</p><p><strong>Objective: </strong>To study the morbidity characteristics of children's oral emergencies. Through the clinical data of children's oral emergency cases in our hospital during the period of 2015-2021, we analysed the types of oral emergency cases, gender, age, and time of injury visits, so as to better guide the diagnosis and treatment of common and frequent diseases in children's oral emergency.</p><p><strong>Methods: </strong>A total of 4,946 cases of dental emergencies attended between January 1, 2015 and December 31, 2021 were collected and statistically analyzed in a retrospective cohort with respect to gender, age, time of visit and diagnosis of the patients. SPSS 19.0 software was applied to test and analyze the results.</p><p><strong>Results: </strong>There were 3,096 males and 1,850 females in 4,946 children's oral emergency patients, with a male to female ratio of 1.67:1; The average age was 3.9 years old. The highest number of children's oral emergency visits was October, the lowest was January, and the highest time was 20:00-21:00; The first three diseases in emergency diagnosis were maxillofacial trauma (60.17%),dental trauma (17.19%) and acute periapical periodontitis (13.26%).</p><p><strong>Conclusion: </strong>The number of pediatric dental emergencies has been increasing year by year, from 298 cases in 2015 to 1,827 cases in 2021, with a relatively high concentration of visits and a wide range of emergencies, including: maxillofacial trauma, dental trauma, acute periapical inflammation, acute endodontitis, and oral aphthous ulcers, but with a major focus on maxillofacial trauma (60.17%) and dental trauma (17.19%). Therefore, emergency management of maxillofacial trauma by pediatric emergency dentists is a clinical priority in pediatric emergency dentistry.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1533546"},"PeriodicalIF":1.8,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12414939/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145031270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical-oriented 3D visualization and quantitative analysis of gingival thickness using convolutional neural networks and CBCT.","authors":"Lan Yang, ZiCheng Zhu, Yongshan Li, Jieying Huang, Xiaoli Wang, Haoran Zheng, Jiang Chen","doi":"10.3389/fdmed.2025.1635155","DOIUrl":"10.3389/fdmed.2025.1635155","url":null,"abstract":"<p><strong>Objective: </strong>Traditional gingival thickness (GT) assessment methods provide only point measurements or simple classifications, lacking spatial distribution information. This study aimed to develop a CBCT-based 3D visualization system for gingival thickness using deep learning, providing a novel spatial assessment tool for implant surgery planning.</p><p><strong>Methods: </strong>CBCT and intraoral scanning (IOS) data from 50 patients with tooth loss were collected to establish a standardized dataset. DeepLabV3+ architecture was employed for semantic segmentation of gingival and bone tissues. A 3D visualization algorithm incorporating vertical scanning strategy, triangular mesh construction, and gradient color mapping was innovatively developed to transform 2D slices into continuous 3D surfaces.</p><p><strong>Results: </strong>The semantic segmentation model achieved a mIoU of 85.92 ± 0.43%. The 3D visualization system successfully constructed a comprehensive spatial distribution model of gingival thickness, clearly demonstrating GT variations from alveolar ridge to labial aspect through gradient coloration. The 3D model enabled millimeter-precision quantification, supporting multi-angle and multi-level GT assessment that overcame the limitations of traditional 2D measurements.</p><p><strong>Conclusion: </strong>This system represents a methodological advancement from qualitative to spatial quantitative GT assessment. The intuitive 3D visualization serves as an innovative preoperative tool that identifies high-risk areas and guides personalized surgical planning, enhancing predictability for aesthetic and complex implant cases.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1635155"},"PeriodicalIF":1.8,"publicationDate":"2025-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12399636/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144994640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CAD-CAM vs. conventional denture bases: a systematic review with network meta-analysis of <i>in vitro</i> studies comparing strength, hardness, toughness, and elastic properties.","authors":"Rohit Kunnath Menon, Hui Xin Yew, Benjamin Chen Tze Wei, Farah Mohammed Ramadan, Afraa Ibrahim Soliman, Sajesh Veettil","doi":"10.3389/fdmed.2025.1638794","DOIUrl":"10.3389/fdmed.2025.1638794","url":null,"abstract":"<p><strong>Background: </strong>Scientific evidence from <i>in vitro</i> studies comparing the mechanical properties of dentures fabricated with computer-aided design-computer-aided manufacturing (CAD-CAM) and conventional techniques is inconclusive. This systematic review with meta-analysis was conducted to analyze the current evidence comparing the mechanical properties of conventional and digitally fabricated denture bases from <i>in vitro</i> studies.</p><p><strong>Materials and methods: </strong>A systematic search was conducted in PubMed, Scopus, and Medline for <i>in vitro</i> studies from inception until 16 January 2025. The review had been registered with the International Prospective Register of Systematic Reviews PROSPERO: CRD42024531425). A network meta-analysis compared conventional and digitally fabricated denture bases' flexural strength, hardness, flexural modulus, elastic modulus, impact strength, fracture toughness, yield point, and toughness. Risk of bias was assessed by using RoBDEMAT (RoB 2.0).</p><p><strong>Results: </strong>4,994 articles were identified, 966 duplicates were removed, 3,971 were excluded by title and abstract screening, 57 were assessed by full-text reading, and 42 were included in the quantitative synthesis. As per the sensitivity analysis performed after excluding low-quality studies, the network meta-analysis results indicate that milled digital denture bases exhibit higher flexural strength [SMD = 2.13 (95% CI: 0.21, 4.05)] compared to 3D-printed digitally fabricated denture bases. Bias incorporated from higher values from one study diminishes the quality of evidence for impact strength and flexural modulus.</p><p><strong>Conclusion: </strong>Milled digital denture bases exhibit superior flexural strength to 3D-printed and conventionally fabricated denture bases under laboratory conditions. High-quality <i>in vitro</i> studies are recommended to provide conclusive evidence for other mechanical properties.</p><p><strong>Systematic review registration: </strong>PROSPERO CRD42024531425.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1638794"},"PeriodicalIF":1.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12375453/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Orthodontic considerations for managing patients with functional movement disorders: a narrative review and clinical guide.","authors":"Thikriat Al-Jewair, Ajola Zylalaj, Arash Poursattar Bejehmir","doi":"10.3389/fdmed.2025.1628802","DOIUrl":"10.3389/fdmed.2025.1628802","url":null,"abstract":"<p><strong>Background: </strong>Functional Movement Disorder (FMD) is a neurological condition involving involuntary movements without structural brain or nerve damage. It can significantly affect the craniofacial region, disrupting facial and oral motor functions and complicating dental and orthodontic care. This narrative review outlines the clinical presentation of FMD, emphasizing its relevance in orthodontics and offering a clinical management guide.</p><p><strong>Findings: </strong>A systematic approach is proposed, detailing strategies from the initial screening visit through active treatment, retention, and post-retention stages. Key strategies include using fixed appliances for better control, scheduling shorter visits to reduce symptom aggravation, and incorporating distraction techniques. Collaborative care with neurologists, psychiatrists, psychologists, physical therapists, and dental professionals is vital, addressing both motor and psychological factors.</p><p><strong>Conclusion and relevance: </strong>Specialized training, improved diagnostic methods, and customized treatment plans are crucial for managing FMD in orthodontics. These efforts are necessary to optimize care and outcomes for affected patients.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1628802"},"PeriodicalIF":1.8,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12367745/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Expression profiles of SGK-1 and α-ENaC in minor salivary glands of subjects with xerostomia.","authors":"Mahmood S Mozaffari, Rafik Abdelsayed","doi":"10.3389/fdmed.2025.1585554","DOIUrl":"10.3389/fdmed.2025.1585554","url":null,"abstract":"<p><strong>Introduction: </strong>Epithelial sodium channel (ENaC) is a major conduit for sodium transport across the cell membrane, and its activity is regulated by multiple factors/mechanisms, including the serum and glucocorticoid-regulated kinase-1 (SGK-1). Saliva production and secretion are complex processes, with ENaC regulation of the ionic composition of saliva being an essential event prior to the ultimate secretion of hypotonic saliva into the oral cavity. However, the status of salivary gland SGK-1, in the context of ENaC, remains to be determined. We tested the hypothesis that lower lip minor salivary gland expressions of SGK-1 and ENaC are affected in subjects reporting xerostomia.</p><p><strong>Methods: </strong>Accordingly, archived biopsy specimens of subjects with a diagnosis of mucocele (control; <i>n</i> = 7) and those of subjects complaining of dry mouth (experimental; <i>n</i> = 12) were subjected to histopathological and immunohistochemical assessments for SGK-1, its phosphorylated (active) form (pSGK-1), and the alpha subunit of ENaC (α-ENaC).</p><p><strong>Results: </strong>Control specimens displayed extravasated mucus surrounded by a capsule of inflamed granulation tissue, while experimental specimens showed patchy periductal, predominantly lymphocytic, infiltrates. Control specimens showed variable degrees of SGK-1 and pSGK-1 immunolabeling of ductal epithelial cells. In contrast, experimental specimens displayed patchy and strong SGK-1 but variable degrees of pSGK-1 immunolabeling of ductal epithelial cells. While control specimens showed variable ductal α-ENaC immunolabeling, those of the experimental group displayed primarily diffuse cytoplasmic, with some membrane, immunolabeling in ductal cells. Semi-quantitative analyses, using ImageJ Fiji, showed increased normalized staining for α-ENaC and SGK-1, but not pSGK-1, for experimental compared to control cases.</p><p><strong>Discussion: </strong>Collectively, the data suggest a difference between the active form of the kinase and α-ENaC in minor salivary glands in xerostomia and that higher SGK-1 and α-ENaC may serve as diagnostic markers for this condition.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1585554"},"PeriodicalIF":1.8,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12361188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-driven dynamic orthodontic treatment management: personalized progress tracking and adjustments-a narrative review.","authors":"Xuanchi Guo, Yuhan Shao","doi":"10.3389/fdmed.2025.1612441","DOIUrl":"10.3389/fdmed.2025.1612441","url":null,"abstract":"<p><p>Artificial intelligence (AI) is reconfiguring the orthodontic treatment paradigm through dynamic data-driven strategies. In this paper, we systematically review the multidimensional applications of AI in personalized treatment tracking, real-time decision support, and risk prediction, and reveal its core mechanisms to enhance clinical efficacy and patient experience. This review will focus on the fusion of AI-driven multimodal data analysis (e.g., cone-beam CT, intraoral scanning, and 3D facial images) and deep learning algorithms (e.g., convolutional neural networks) to elucidate the technological breakthroughs in key aspects such as tooth movement trajectory prediction and early detection of root resorption. Clinical practice has shown that AI has formed a complete closed loop of clinical application by optimizing the process of treatment plan development, realizing dynamic adjustment mechanisms, and enhancing patient compliance based on mobile medical platforms. Current research still needs to address core issues such as data privacy protection framework, algorithm interpretability enhancement, and multi-center validation. With the integration of interdisciplinary technology and the deepening of the research and development of intelligent orthodontic systems, AI will promote orthodontic diagnosis and treatment in the direction of more accuracy and personalization and ultimately realize the dual innovation of clinical decision-making mode and patient management strategy.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1612441"},"PeriodicalIF":1.8,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12354369/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144877046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating the accuracy of generative artificial intelligence models in dental age estimation based on the Demirjian's method.","authors":"Allan Abuabara, Thais Vilalba Paniagua Machado do Nascimento, Seandra Maria Trentini, Angela Mairane Costa Gonçalves, Maria Angélica Hueb de Menezes-Oliveira, Isabela Ribeiro Madalena, Svenja Beisel-Memmert, Christian Kirschneck, Livia Azeredo Alves Antunes, Cristiano Miranda de Araujo, Flares Baratto-Filho, Erika Calvano Küchler","doi":"10.3389/fdmed.2025.1634006","DOIUrl":"10.3389/fdmed.2025.1634006","url":null,"abstract":"<p><strong>Introduction: </strong>Dental age estimation plays a key role in forensic identification, clinical diagnosis, treatment planning, and prognosis in fields such as pediatric dentistry and orthodontics. Large language models (LLM) are increasingly being recognized for their potential applications in Dentistry. This study aimed to compare the performance of currently available generative artificial intelligence LLM technologies in estimating dental age using the Demirjian's scores.</p><p><strong>Methods: </strong>Panoramic radiographs were analyzed using Demirjian's method (1973), with each left permanent mandibular tooth classified from stage A to H. Untrained LLM, ChatGPT (GPT-4-turbo), Gemini 2.0 Flash, and DeepSeek-V3 were tasked with estimating dental age based on the patient's Demirjian score for each tooth. Due to the probabilistic nature of ChatGPT, Gemini, and DeepSeek, which can produce varying responses to the same question, three responses were collected per case per day (three different computers) from each model on three separate days. The age estimates obtained from LLM were compared to the individuals' chronological ages. Intra- and inter-examiner reliability was assessed using the Intraclass Correlation Coefficient (ICC). Model performance was evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Coefficient of Determination (<i>R</i> ²), and Bias.</p><p><strong>Results: </strong>Thirty panoramic radiographs (40% female, 60% male; mean age 10.4 ± 2.32 years) were included. Both intra- and inter-examiner ICC values exceeded 0.85. ChatGPT and DeepSeek exhibited comparable but suboptimal performance, with higher errors (MAE: 1.98-2.05 years; RMSE: 2.33-2.35 years), negative <i>R</i> ² values (-0.069 to -0.049), and substantial overestimation biases (1.90-1.91 years), indicating poor model fit and systematic flaws. Gemini demonstrated intermediate results, with a moderate MAE (1.57 years) and RMSE (1.81 years), a positive <i>R</i> ² (0.367), and a lower bias (1.32 years).</p><p><strong>Discussion: </strong>This study demonstrated that, although LLM like ChatGPT, Gemini, and DeepSeek can estimate dental age using Demirjian's scores, their performance remains inferior to the traditional method. Among them, DeepSeek-V3 showed the best results, but all models require task-specific training and validation before clinical application.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1634006"},"PeriodicalIF":1.8,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339434/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the association between angiogenic imbalance in the gingival crevicular fluid in maternal periodontitis and spontaneous preterm birth.","authors":"Daniela Albers, María José Bendek, Marcela Hernández, Diego Prieto, Carolina Rojas, María Luisa Mizgier, Patricia Hernández, Sebastián E Illanes, Alejandra Chaparro","doi":"10.3389/fdmed.2025.1625995","DOIUrl":"10.3389/fdmed.2025.1625995","url":null,"abstract":"<p><strong>Background: </strong>Emerging evidence suggests that abnormal angiogenesis and imbalanced angiogenic factors may contribute to the development of spontaneous preterm birth (sPTB). In addition, pregnancy-related angiogenic changes and increased vascular permeability in periodontal tissues could amplify periodontal inflammation under hormonal influence.</p><p><strong>Objectives: </strong>This study aimed to evaluate the association between gingival crevicular fluid (GCF) levels of placental growth factor (PlGF) and soluble fms-like tyrosine kinase-1 (sFlt-1) and sPTB risk and to assess their correlation with periodontal disease severity during early pregnancy.</p><p><strong>Materials and methods: </strong>A prospective cohort study was conducted involving 348 pregnant women, with obstetric, clinical, and periodontal parameter assessments performed at 11-14 weeks of gestation, including probing depth (PD), clinical attachment loss (CAL), bleeding on probing (BOP), periodontal inflamed surface area (PISA), and plaque index score (PI). GCF samples were collected, and PlGF and sFlt-1 levels were measured using Magpix-Luminex® multiplex technology.</p><p><strong>Results: </strong>sPTB occurred in 3.45% (<i>n</i> = 12) of the participants. The women who had a sPTB had a significantly higher GCF PlGF/sFlt-1 ratio (<i>p</i> = 0.017) and lower sFlt-1 levels (<i>p</i> = 0.003) compared to those who had term pregnancies. A multivariate regression model combining the PlGF/sFlt-1 ratio, PI score, and first-trimester arterial blood pressure showed a predictive area under the curve of 0.78 (odds ratio 3.36, <i>p</i> = 0.008) for sPTB risk. Periodontal parameters, including PD sites >3 mm and PISA, were significantly worse in those with sPTB pregnancies (<i>p</i> = 0.032 and <i>p</i> = 0.047, respectively). Both PlGF and sFlt-1 levels were elevated in pregnant women with moderate to severe periodontitis compared to those with gingivitis or a healthy status (<i>p</i> < 0.0001), with significant positive correlations with inflammatory periodontal clinical parameters (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>An early pregnancy imbalance of angiogenic and antiangiogenic factors in the GCF is associated with increased sPTB risk and greater periodontal inflammation. These findings suggest that angiogenic factors in the GCF may serve as promising non-invasive biomarkers for identifying women at elevated risk for sPTB.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1625995"},"PeriodicalIF":1.8,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12339542/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144838745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Motors vs. operators in simulated root canal shaping.","authors":"Kevin Hofpeter, Matthias Zehnder, Shengjile Deari","doi":"10.3389/fdmed.2025.1617425","DOIUrl":"10.3389/fdmed.2025.1617425","url":null,"abstract":"<p><strong>Introduction: </strong>The impact of contemporary endodontic motors on shaping outcomes has not been weighed against that of the motor operators.</p><p><strong>Materials and methods: </strong>One motor (X-Smart Pro+) specifically developed for the reciprocating files that were used (Reciproc Blue R25) was compared to three cordless counterparts, two of which lacked a designated reciprocation mode. Standardized J-shaped canals in bovine incisor roots were instrumented by four different operators, who were residents with similar levels of education and clinical experience. One reciprocating file per simulated root canal was used. The root canal models were pre-warmed and kept in a vice at 37°C in a water bath. The operators were instructed to instrument two simulated canals per motor in a random sequence, applying three pecking motions and alternating with 3% NaOCl irrigation. Instrumentation time was measured. Pre- and postoperative images obtained using a digital microscope were superimposed to assess canal transportation. Parametric tests (two-way ANOVA) were applied to weigh the overall effects of the motor and operator on instrumentation time and canal transportation. The impact of the motor and operator on the number of unwound flutes was explored using likelihood ratio tests. The level of significance was set at 5% (<i>P</i> < 0.05).</p><p><strong>Results: </strong>Operators had a highly significant (<i>P</i> < 0.001) impact on instrumentation time and file unwinding, while motors did not (<i>P</i> > 0.05). File unwinding was negatively correlated with instrumentation time (<i>P</i> < 0.001). There was no effect of either the motor or the operator on canal transportation (<i>P</i> > 0.05).</p><p><strong>Conclusion: </strong>Technological advancements in endodontic motors do not necessarily compensate for operator variability.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1617425"},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12331665/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144818397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Current insights on the genetics and mechanisms of MSX1-associated cleft palate.","authors":"A C Myo, R Raju, J O Piña, P Chattaraj, M Furukawa","doi":"10.3389/fdmed.2025.1662124","DOIUrl":"10.3389/fdmed.2025.1662124","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fdmed.2025.1610223.].</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1662124"},"PeriodicalIF":1.8,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12332978/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144818396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}