Frontiers in dental medicine最新文献

{"title":"Automatic dental age estimation in adolescents via oral panoramic imaging.","authors":"Ze Li, Ning Xiao, Xiaoru Nan, Kejian Chen, Yingjiao Zhao, Shaobo Wang, Xiangjie Guo, Cairong Gao","doi":"10.3389/fdmed.2025.1618246","DOIUrl":"10.3389/fdmed.2025.1618246","url":null,"abstract":"<p><strong>Object: </strong>In forensic dentistry, dental age estimation assists experts in determining the age of victims or suspects, which is vital for legal responsibility and sentencing. The traditional Demirjian method assesses the development of seven mandibular teeth in pediatric dentistry, but it is time-consuming and relies heavily on subjective judgment.</p><p><strong>Methods: </strong>This study constructed a largescale panoramic dental image dataset and applied various convolutional neural network (CNN) models for automated age estimation.</p><p><strong>Results: </strong>Model performance was evaluated using loss curves, residual histograms, and normal PP plots. Age prediction models were built separately for the total, female, and male samples. The best models yielded mean absolute errors of 1.24, 1.28, and 1.15 years, respectively.</p><p><strong>Discussion: </strong>These findings confirm the effectiveness of deep learning models in dental age estimation, particularly among northern Chinese adolescents.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1618246"},"PeriodicalIF":1.5,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12241049/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610388","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":"Case Report: A comprehensive digital workflow to enhance predictability and precision with fixed dental prostheses in the posterior region.","authors":"Isabela Toser, Andrei-Bogdan Faur, Anca-Elena Anghel-Lorinți, Anca Jivănescu","doi":"10.3389/fdmed.2025.1625405","DOIUrl":"10.3389/fdmed.2025.1625405","url":null,"abstract":"<p><p>This clinical report presents a full digital protocol for prosthetic rehabilitation following the bilateral loss of maxillary first molars. The aim of the study was to explore the integration of advanced digital technologies, including intraoral scanning, facial scanning, cone-beam computed tomography (CBCT), and digital occlusal analysis, into a comprehensive treatment protocol for the fabrication of fixed partial dental prostheses. A key focus was on evaluating the precision of occlusal equilibration using digital occlusal analysers in conjunction with conventional articulating paper. While the design was sent to a dental laboratory for fabrication, the workflow demonstrated efficiency, minimal invasiveness, and a high degree of predictability in achieving both functional and aesthetic outcomes, mostly manageable in a chair-side manner. The results showed that most occlusal contacts translated successfully from virtual planning to the intraoral environment; however, some discrepancies were noted, which could be attributed to the absence of certain motion data in the digital workflow. The integration of digital occlusal analysis was essential in identifying and adjusting premature contacts, contributing to improved patient comfort and occlusal stability. The study highlights the potential of a fully digital workflow in modern prosthodontics, emphasizing its role in achieving more predictable outcomes, enhancing clinical efficiency, and reducing the need for post-cementation adjustments. Future research should explore.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1625405"},"PeriodicalIF":1.5,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12234521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144593083","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":"Assessment of pulpal changes in periodontitis patients using CBCT: a volumetric analysis.","authors":"Ammar Almarghlani, Reem A Alsahafi, Fatimah K Alqahtani, Yousef Alnowailaty, Mohammed Barayan, Ameerah Aladwani, Amr Bokhari","doi":"10.3389/fdmed.2025.1549281","DOIUrl":"10.3389/fdmed.2025.1549281","url":null,"abstract":"<p><strong>Introduction: </strong>Evidence suggests that periodontal disease can lead to inflammation and degeneration within dental pulp, highlighting the need for dental professionals to understand this association better.</p><p><strong>Objective: </strong>The objective for this study was to establish a correlation between pulp volume and periodontal disease using Cone-Beam Computed Tomography (CBCT) imaging.</p><p><strong>Methods: </strong>A cross-sectional study design was employed for the collected data from 148 patients aged 39.51 years using dental images obtained by CBCT and analyzed by medical software to create three-dimensional (3D) images. Pulp-volume analysis was performed using Amira software and measurements were derived using bio-models generated from CBCT images. Obtained data was analyzed using SPSS-27 statistical software.</p><p><strong>Results: </strong>The mean pulp volume between healthy and teeth with periodontitis showed certain differences. The mean low and largest pulp volumes of 9.15 ± 3.3 mm³ and 15.24 ± 4.2 mm³ were observed involving teeth # 41 and teeth # 13, respectively. Furthermore, a higher mean of pulp volume was observed in healthy teeth than in periodontitis-diagnosed teeth except for teeth # 33 and 43. The significant difference (<i>p</i> < 0.05) was easily detected involving teeth # 22, 23, 11, and 13. However, the lowest difference, with non-significant difference (<i>p</i> > 0.05), involving teeth # 43, 31, and 33 was observed.</p><p><strong>Discussion: </strong>The study's findings underscore a significant correlation between periodontitis and reduced pulp volume, suggesting that periodontal inflammation may influence pupal remodeling.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1549281"},"PeriodicalIF":1.5,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12222284/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144562234","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":"Editorial: Digital technology for oral health care and dental education.","authors":"Kunaal Dhingra, Prabhat Kumar Chaudhari, Jitendra Sharan, Anand Marya, Dian Jing","doi":"10.3389/fdmed.2025.1641791","DOIUrl":"https://doi.org/10.3389/fdmed.2025.1641791","url":null,"abstract":"","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1641791"},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12213532/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556072","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":"Editorial: Uncovering a multidisciplinary approach in pediatric dentistry.","authors":"Amal Al-Khotani, Nikolaos Christidis, Essam Ahmed Al-Moraissi","doi":"10.3389/fdmed.2025.1639267","DOIUrl":"10.3389/fdmed.2025.1639267","url":null,"abstract":"","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1639267"},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12213857/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556073","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":"Socioeconomic factors and feeding in the first two years of life associated with molar incisor hypomineralisation.","authors":"Sara Ortega-Luengo, María Nieves Ábalos-Sanfrutos, María Isabel Calama-Fraile, Verónica Carballo-Tejeda, María Trinidad García-Vázquez, Antonia M Caleya-Zambrano","doi":"10.3389/fdmed.2025.1573208","DOIUrl":"10.3389/fdmed.2025.1573208","url":null,"abstract":"<p><strong>Purpose: </strong>The main objective of this study was to evaluate the relationship between Molar Incisor Hypomineralisation (MIH) and socioeconomic factors in a sample of children in the Community of Madrid.</p><p><strong>Methods: </strong>An observational, descriptive, cross-sectional, and multicentre study was designed. After a previous calibration of all the examiners and following the diagnostic criteria of the European Academy of Paediatric Dentistry (EAPD), children between 8 and 16 years old were included from among the users of the dental services of eight primary care oral health units of the Madrid Health Service. The children underwent a dental examination, and the parents were asked to complete a questionnaire on possible socioeconomic factors related to the appearance of MIH. Factors such as sex, race, parental education, area of residence, exposure to tobacco and diet in the first two years of life were analysed. With MIH (yes/no) as the dependent variable, the <i>χ</i>2 test was used to compare categorical variables between MIH and non-MIH children. A logistic regression model was made with MIH (yes/no) as the dependent variable and the independent variables being those that were clinically relevant or significant in the bivariate analysis. Their associations are expressed as odds ratios (ORs).</p><p><strong>Results: </strong>Females were significantly more likely to have MIH. The prevalence of MIH decreased with age. Residents in Parla had MIH more often than residents of other municipalities of the Community of Madrid. No other socioeconomic factor studied was associated with MIH.</p><p><strong>Conclusions: </strong>Residents in the municipality of Parla had a higher frequency of MIH, which was a municipality with a low per capita income. When comparing the presence of MIH in breastfed children, statistically significant differences were observed. Logistic regression, however, did not suggest that breastfeeding could influence the presence of MIH. Further study is warranted on possible socioeconomic risk factors for MIH, such as household income, to lower the incidence of this pathology.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1573208"},"PeriodicalIF":1.5,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12213567/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144556074","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":"Impact of knowledge of the 2017 classification for periodontal and peri-implant diseases on diagnostic accuracy among dental students.","authors":"Shatha Bamashmous, Abdullaziz Farahat, Waleed Alharbi, Arwa Banjar, Amal Jamjoom, Arwa Badahdah","doi":"10.3389/fdmed.2025.1558380","DOIUrl":"10.3389/fdmed.2025.1558380","url":null,"abstract":"<p><strong>Background: </strong>Periodontal diseases are a significant global health problem and have been associated with various systemic diseases. The American Academy of Periodontology (AAP) and the European Federation of Periodontology (EFP) introduced a new classification system for periodontal and peri-implant diseases in 2017. However, the complexity of this new classification has presented some challenges in its implementation compared to the 1999 classification system. This study evaluates the impact of dental students' knowledge of the 2017 classification on their ability to diagnose periodontal diseases accurately.</p><p><strong>Materials and methods: </strong>This cross-sectional study enrolled 146 fifth- and sixth-year dental students from King Abdulaziz University in Jeddah, Saudi Arabia. A self-reported questionnaire was employed to assess students' knowledge of the 2017 periodontal classification system and their diagnostic abilities across five clinical cases. Students were classified into low, moderate, and high knowledge groups based on their knowledge questionnaire scores. Statistical analyses assessed the relationship between classification knowledge and diagnostic accuracy and compared these measures across different groups.</p><p><strong>Results: </strong>In the study, 41.10% of participants achieved high knowledge scores (14-16 correct answers), while 32.88% and 26.03% were categorized into moderate and low knowledge groups, respectively. There was no significant association between knowledge levels and diagnostic accuracy, except for one specific clinical case. While sixth-year students scored significantly higher in the knowledge assessment than fifth-year students (<i>p</i> = 0.005), their diagnostic accuracy did not significantly differ. The main challenge, as reported by students, was the discrepancy between case complexity and their clinical experience (28.1%).</p><p><strong>Conclusion: </strong>This study found no significant impact of dental students' knowledge of the 2017 periodontal classification system on diagnostic accuracy. Challenges such as discrepancies between case complexity and clinical experience and teaching inconsistencies underscore the need for enhanced clinical simulations, case-based learning, and targeted educational training to improve diagnostic accuracy and clinical competence.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1558380"},"PeriodicalIF":1.5,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209212/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546366","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":"Retention of skull anatomy knowledge in dental education: a comparative study.","authors":"Noora Helene Thune, Anna Tostrup Kristensen, Qalbi Khan, Tor Paaske Utheim, Hugo Lewi Hammer, Amer Sehic","doi":"10.3389/fdmed.2025.1596610","DOIUrl":"10.3389/fdmed.2025.1596610","url":null,"abstract":"<p><p>There is limited evidence regarding the retention of essential basic science knowledge among dental students and professionals. Understanding the anatomy of the skull, osteology, is crucial as it provides the structural framework essential for comprehending head anatomy, where various soft tissue components are organized. This study aims to evaluate and compare the retention of osteological knowledge across different stages of dental education and professional practice. Specific anatomical structures on selected skull bones and the complete cranium, taught at the pre-clinical level and including clinically and radiographically significant landmarks, were marked for assessment. The study evaluated the ability of second year and fifth year undergraduate dental students, as well as postgraduate students at various stages of specialist training in different dental fields, to independently identify these marked anatomical structures. The study demonstrated significantly higher identification accuracy among second year students compared to fifth year and postgraduate students (<i>p</i> < 0.05). Second year students achieved over 90% accuracy for individual skull bones, with slightly lower accuracy for the entire cranium (85.9%). Fifth year students showed markedly lower retention, with accuracy below 50%, ranging from 20.8% (cranium) to 48.3% (mandible). Postgraduate students performed similarly to fifth year students, notably with only 11.8% accuracy for the sphenoid bone. Significant differences in accuracy were observed among postgraduate specialties (<i>p</i> < 0.05), with oral surgery and oral medicine specialists achieving the highest accuracy (81.2% for the mandible). However, no significant correlation between years of experience and accuracy was observed among the postgraduate groups (<i>p</i> = 0.45). Our results indicate that clinically and radiologically relevant anatomical knowledge is better retained over time, while overall osteological knowledge significantly declines. This highlights the need for strategies beyond initial learning to enhance long-term retention. Integrating clinical, radiological, and surface anatomy into continuing dental education could substantially improve knowledge retention. Furthermore, our findings suggest potential benefits from increased vertical integration and encourage broader discussion regarding the traditional separation between pre-clinical and clinical training phases.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1596610"},"PeriodicalIF":1.5,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12209205/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144546367","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":"Case Report: Dental autotransplantation for the resolution of odontogenic sinusitis using 3D replication.","authors":"Henry Paul Valverde Haro, Adriana Denisse Erazo Conde","doi":"10.3389/fdmed.2025.1607035","DOIUrl":"10.3389/fdmed.2025.1607035","url":null,"abstract":"<p><p>This case report presents the use of dental autotransplantation, a procedure in which a donor tooth is transferred to a recipient site in the same patient, improving functional and esthetic characteristics. The advantages of this technique compared to conventional prostheses and surgical treatments, such as dental implants, are discussed. A 27-year-old patient with no relevant medical history was evaluated for pain and discomfort in fractured teeth with previous endodontic treatments and odontogenic sinusitis. A non-restorable maxillary first molar was diagnosed and extracted and replaced with a previously endodontically treated maxillary third molar, for which a 3D-printed replica was used to reshape the alveolar site. The intervention was successful, after which an adequate clinical and radiographic follow-up was carried out for 3 years, showing good bone formation and continuity of the periodontal ligament, with no signs of pathological resorption. This case demonstrates that, when properly planned and executed, dental autotransplantation can be an effective and biological alternative for dental rehabilitation, especially with the use of advanced technologies, such as cone beam computed tomography and 3D-printed replicas of donor teeth.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1607035"},"PeriodicalIF":1.5,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12202331/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144531413","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":"Advancing precision dentistry: the integration of multi-omics and cutting-edge imaging technologies-a systematic review.","authors":"Neelam Das","doi":"10.3389/fdmed.2025.1581738","DOIUrl":"10.3389/fdmed.2025.1581738","url":null,"abstract":"<p><strong>Background: </strong>The convergence of multi-omics, advanced imaging technologies, and artificial intelligence (AI) is reshaping diagnostic strategies in precision dentistry. This systematic review critically assesses how the integration of multi-omics (genomics, proteomics, metabolomics), advanced imaging modalities (CBCT, MRI), and AI-based techniques synergistically enhances diagnostic accuracy, clinical decision-making, and personalized care in dentistry.</p><p><strong>Methods: </strong>The review follows PRISMA 2020 guidelines. A total of 50 studies published between 2015 and 2024 were selected using a PICOS framework. Analytical tools included meta-analysis (Forest and Funnel plots), risk of bias assessment, VOS viewer-based bibliometric mapping, and GRADE evidence grading.</p><p><strong>Results: </strong>Multi-omics approaches revealed key biomarkers such as TP53, IL-1, and MMPs in early diagnosis. CBCT reduced diagnostic error by 35% (CI: 30%-40%), while MRI improved soft-tissue evaluation by 25% (CI: 18%-32%). AI tools, including convolutional neural networks and radiomics, led to a 40% reduction in diagnostic time (CI: 33%-45%) and improved lesion classification.</p><p><strong>Conclusion: </strong>Integrating AI with omics and imaging technologies enhances diagnostic precision in dentistry. Future efforts must address data standardization, ethical implementation, and validation through multicenter trials for clinical adoption.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"6 ","pages":"1581738"},"PeriodicalIF":1.5,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12198191/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144509835","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}