{"title":"Interdental papilla recession and reconstruction of the lost triangle: a review of the current literature.","authors":"Sanabel O Barakat","doi":"10.3389/fdmed.2024.1537452","DOIUrl":"10.3389/fdmed.2024.1537452","url":null,"abstract":"<p><p>Interdental papilla (IDP) deficiency and the presence of gingival black triangles (GBT) are major concerns for both patients and dentists, as the IDP plays an important role in esthetics due to its strong association with the patient's smile. Interdental papilla deficiency is frequent among different populations, with a tendency to increase with age and in patients with periodontal disease. In addition, GBT causes phonetic problems, food impaction, plaque accumulation, and increased risk for root caries. The small dimensions of the IDP and the limited vascular supply to the interproximal space render treatment modalities of receded papillae unpredictable. Still, and based on the etiological factors, several non-surgical treatment options, including correction of traumatic oral hygiene practices, restorative interventions, papilla priming, papilla enhancement with either autologous fibroblast injection or hyaluronic acid, and orthodontic therapy, have been proposed to fill the GBT. In addition, different surgical techniques-with or without grafting biomaterials-have also been introduced to reconstruct the lost papilla. Nonetheless, there is no gold standard set yet. Further, systematic reviews evaluating the efficacy of surgical reconstruction of deficient IDP are still lacking due to the scarcity of large-scale clinical trials and the absence of long-term clinical outcomes. The aim of this review was to identify various causes of IDP recession as well as to explore the available treatment modalities to reconstruct the lost papilla.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1537452"},"PeriodicalIF":1.5,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797962/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143365545","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}
Benas Jakubauskas, Sarah Pagni, Andrea G Ferreira Zandona
{"title":"An updated look at the use of silver diamine fluoride in U.S. dental schools' predoctoral curriculum-a survey.","authors":"Benas Jakubauskas, Sarah Pagni, Andrea G Ferreira Zandona","doi":"10.3389/fdmed.2024.1466962","DOIUrl":"10.3389/fdmed.2024.1466962","url":null,"abstract":"<p><p>This survey aimed to update Silver Diamine Fluoride (SDF) use/teaching in U.S. predoctoral dental education programs in comparison to a 2016 survey, considering the COVID-19 pandemic. An online survey via email was sent to all accredited U.S. predoctoral dental education programs (<i>n</i> = 68) in January 2022. A total of 39 schools (57% response rate) responded to the survey, and all 39 of them reported that SDF was now part of their curriculum, significantly different (<i>p</i> < 0.001) from 2016 (68% of schools). Significant changes (<i>p</i> < 0.001) were reported in the survey responses from 2016 to 2022, particularly in how SDF was being taught (97% teaching didactically and clinically vs. 48% in 2016), but were not necessarily a response to the COVID pandemic. Schools report teaching more indications for the use of SDF and using more specific protocols with more schools teaching arresting caries in permanent teeth (97% vs. 78% in 2016). Since 2016, the use and teaching of SDF have been increasingly adopted across U.S. dental schools, though there remains room for improvement in terms of consistent implementation, specific clinical protocols, and comprehensive training.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1466962"},"PeriodicalIF":1.5,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797966/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366223","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":"Management of a pediatric patient with dental anomalies and its effect on psychosocial status: a case report.","authors":"Wesam Damanhouri, Kholoud Moussa, Joudi Bathallath, Zohour Alsomali, Abeer Bakor, Moaz Attar","doi":"10.3389/fdmed.2024.1502195","DOIUrl":"10.3389/fdmed.2024.1502195","url":null,"abstract":"<p><p>Managing multiple dental anomalies in the anterior region of the dental arch presents unique and complex challenges. This case report describes using a multidisciplinary approach to manage a child with not only a fused tooth with a supernumerary but also the presence of other supernumerary teeth in the same place. In this case, deviation from the standard management of a fused permanent anterior tooth, an anchor for aesthetics, by extracting it because of crown root complexity and allowing a supernumerary to erupt into its place made the difference in the successful outcome. However, this condition required multidisciplinary management that necessitated the involvement of the psychiatric department. Continuous assessment of the patient's psychosocial function using the Social Avoidance and Distress Scale (SADS) allowed appropriate guidance to manage the patient's behavior. This case report added a different perspective on managing a fused tooth with a supernumerary to the literature. It showed how dental aesthetics can have an adverse effect on children's psychology.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1502195"},"PeriodicalIF":1.5,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366424","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}
Alexander Jon Cresswell-Boyes, Graham Roy Davis, Aylin Baysan
{"title":"Corrigendum: Students' perceptions of endodontic typodont teeth with simulated canals printed from novel materials.","authors":"Alexander Jon Cresswell-Boyes, Graham Roy Davis, Aylin Baysan","doi":"10.3389/fdmed.2024.1547849","DOIUrl":"https://doi.org/10.3389/fdmed.2024.1547849","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.3389/fdmed.2024.1373922.].</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1547849"},"PeriodicalIF":1.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797848/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366843","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}
Benedetta Vidi, Ana María Gil-Valcarcel, Cristina Obispo-Diaz, Isabel Sanchez-Jorge, Jesús Mena-Álvarez, Juan Manuel Aragoneses-Lamas, Cristina Rico-Romano
{"title":"Description of the root anatomy of the primary molars using high resolution computed microtomography (Micro-CT). An analysis of three-dimensional root canal system.","authors":"Benedetta Vidi, Ana María Gil-Valcarcel, Cristina Obispo-Diaz, Isabel Sanchez-Jorge, Jesús Mena-Álvarez, Juan Manuel Aragoneses-Lamas, Cristina Rico-Romano","doi":"10.3389/fdmed.2024.1522414","DOIUrl":"10.3389/fdmed.2024.1522414","url":null,"abstract":"<p><strong>Background/purpose: </strong>This study aimed to describe the root canal morphology of primary molars using Micro-CT and analyse the three-dimensional images of the internal root canal system.</p><p><strong>Material and methods: </strong>One hundred and twenty extracted primary molars with one or more completed roots were scanned with Micro-CT. Three fixed heights of the roots were determined at axial level and the analysed criteria were: dentine thickness, diameter of roots canals, presence of lateral canals, isthmus and number of foramina. Vertucci's classification was also studied.</p><p><strong>Results: </strong>Vertucci Type I was more prevalent in palatal and mesio-buccal root of superior molar and distal root of inferior molars. Type IV was more frequent in the mesial root. Dentine thickness was studied at three levels and for all the surfaces of the root canal. In the mesiobuccal root, in the middle and apical third, the mean in the upper molars is significantly higher than in the lower molars. The mesio-lingual canal has the major mean in mesio-distal and bucco-lingual diameter at coronal third. Isthmus were found mostly in the mesial root in all three levels. The high number of foramina and lateral canals were located at apical third of the mesial and mesio-buccal roots.</p><p><strong>Conclusion: </strong>This study showed the complexity and variability of the root canal morphology of primary molars. The Micro-CT images gave important information about the internal anatomy of the primary molars.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1522414"},"PeriodicalIF":1.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797784/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366866","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":"Transforming dental diagnostics with artificial intelligence: advanced integration of ChatGPT and large language models for patient care.","authors":"Masoumeh Farhadi Nia, Mohsen Ahmadi, Elyas Irankhah","doi":"10.3389/fdmed.2024.1456208","DOIUrl":"10.3389/fdmed.2024.1456208","url":null,"abstract":"<p><p>Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This study delves into the impact of cutting-edge LLMs, notably OpenAI's ChatGPT, on medical diagnostics, with a keen focus on the dental sector. Leveraging publicly accessible datasets, these models augment the diagnostic capabilities of medical professionals, streamline communication between patients and healthcare providers, and enhance the efficiency of clinical procedures. The advent of ChatGPT-4 is poised to make substantial inroads into dental practices, especially in the realm of oral surgery. This paper sheds light on the current landscape and explores potential future research directions in the burgeoning field of LLMs, offering valuable insights for both practitioners and developers. Furthermore, it critically assesses the broad implications and challenges within various sectors, including academia and healthcare, thus mapping out an overview of AI's role in transforming dental diagnostics for enhanced patient care.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1456208"},"PeriodicalIF":1.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797834/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366933","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":"Nanosystems for modulation of immune responses in periodontal therapy: a mini-review.","authors":"Anirudh B Acharya, Usha Hegde, Swetha Acharya","doi":"10.3389/fdmed.2024.1509775","DOIUrl":"10.3389/fdmed.2024.1509775","url":null,"abstract":"<p><p>Periodontitis is one of the most common oral diseases. It is generally treated by non-surgical and/or surgical therapy with adjunctive approaches for prevention and control. The current understanding of the pathogenesis of periodontitis has unraveled the importance of the inflammatory and immune reactions to combat periodontitis whose etiology is an overlap of microbial, genetic, and environmental factors in a susceptible host. Based on this premise, many therapeutic modalities have been investigated or attempted to resolve this inflammatory disease. Amongst these, nanomedicine has been shown to have therapeutic applications in periodontitis, especially focused on immunomodulation because periodontitis is characterized by over-reactive immune response. This mini-review explores the potential of nanosystems in treating periodontitis by providing an overview of the research efforts in this field of therapeutics. The unique physicochemical and targeting properties of nanosystems seem to be potentially effective platforms for treating periodontitis.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1509775"},"PeriodicalIF":1.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797770/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366723","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":"Advanced AI-assisted panoramic radiograph analysis for periodontal prognostication and alveolar bone loss detection.","authors":"Jarupat Jundaeng, Rapeeporn Chamchong, Choosak Nithikathkul","doi":"10.3389/fdmed.2024.1509361","DOIUrl":"10.3389/fdmed.2024.1509361","url":null,"abstract":"<p><strong>Background: </strong>Periodontitis is a chronic inflammatory disease affecting the gingival tissues and supporting structures of the teeth, often leading to tooth loss. The condition begins with the accumulation of dental plaque, which initiates an immune response. Current radiographic methods for assessing alveolar bone loss are subjective, time-consuming, and labor-intensive. This study aims to develop an AI-driven model using Convolutional Neural Networks (CNNs) to accurately assess alveolar bone loss and provide individualized periodontal prognoses from panoramic radiographs.</p><p><strong>Methods: </strong>A total of 2,000 panoramic radiographs were collected using the same device, based on the periodontal diagnosis codes from the HOSxP Program. Image enhancement techniques were applied, and an AI model based on YOLOv8 was developed to segment teeth, identify the cemento-enamel junction (CEJ), and assess alveolar bone levels. The model quantified bone loss and classified prognoses for each tooth.</p><p><strong>Results: </strong>The teeth segmentation model achieved 97% accuracy, 90% sensitivity, 96% specificity, and an F1 score of 0.80. The CEJ and bone level segmentation model showed superior results with 98% accuracy, 100% sensitivity, 98% specificity, and an F1 score of 0.90. These findings confirm the models' effectiveness in analyzing panoramic radiographs for periodontal bone loss detection and prognostication.</p><p><strong>Conclusion: </strong>This AI model offers a state-of-the-art approach for assessing alveolar bone loss and predicting individualized periodontal prognoses. It provides a faster, more accurate, and less labor-intensive alternative to current methods, demonstrating its potential for improving periodontal diagnosis and patient outcomes.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1509361"},"PeriodicalIF":1.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797906/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143365469","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":"Comparison of volumetric analysis between conventional and rotary files in the preparation of root canals in primary molars-an <i>in vitro</i> study.","authors":"Satish Vishwanathaiah","doi":"10.3389/fdmed.2024.1489074","DOIUrl":"10.3389/fdmed.2024.1489074","url":null,"abstract":"<p><strong>Background: </strong>To compare and evaluate the efficacy of canal preparation and volumetric filling of primary molars instrumented by conventional hand K-file, ProAF baby rotary file and Kedo-S square file using cone beam computed tomography.</p><p><strong>Materials and methods: </strong>Thirty freshly extracted human primary second molars were randomly divided into 3 groups of 10 teeth each. After access opening and working length determination, preoperative volume analysis was done using cone beam computed tomography (CBCT). The canals were then instrumented by either hand K-files, Pro AF Baby rotary files and Kedo-S square rotary files. Post operative volume analysis was performed using CBCT. All the canals were obturated using Metapex and scanned again using CBCT. Mean values of the pre- and post-operative canal volumes were analyzed using one-way ANOVA. Inter- and intra- group volumetric changes were analyzed statistically by <i>post hoc</i> test.</p><p><strong>Results: </strong>The mean difference in volume after canal preparation and obturation was the highest in the hand K-file group, followed by Pro AF Baby Gold group and the least in the Kedo-S square group. Inter and intra group comparison showed statistically significant differences for all the file groups used.</p><p><strong>Conclusion: </strong>Kedo- S square showed the least difference in preparation volume and better obturating volume compared to Pro AF baby gold file systems.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1489074"},"PeriodicalIF":1.5,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366839","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}
Dinesh Rokaya, Ahmad Al Jaghsi, Rohan Jagtap, Viritpon Srimaneepong
{"title":"Artificial intelligence in dentistry and dental biomaterials.","authors":"Dinesh Rokaya, Ahmad Al Jaghsi, Rohan Jagtap, Viritpon Srimaneepong","doi":"10.3389/fdmed.2024.1525505","DOIUrl":"10.3389/fdmed.2024.1525505","url":null,"abstract":"<p><p>Artificial intelligence (AI) technology is being used in various fields and its use is increasingly expanding in dentistry. The key aspects of AI include machine learning (ML), deep learning (DL), and neural networks (NNs). The aim of this review is to present an overview of AI, its various aspects, and its application in biomedicine, dentistry, and dental biomaterials focusing on restorative dentistry and prosthodontics. AI-based systems can be a complementary tool in diagnosis and treatment planning, result prediction, and patient-centered care. AI software can be used to detect restorations, prosthetic crowns, periodontal bone loss, and root canal segmentation from the periapical radiographs. The integration of AI, digital imaging, and 3D printing can provide more precise, durable, and patient-oriented outcomes. AI can be also used for the automatic segmentation of panoramic radiographs showing normal anatomy of the oral and maxillofacial area. Recent advancement in AI in medical and dental sciences includes multimodal deep learning fusion, speech data detection, and neuromorphic computing. Hence, AI has helped dentists in diagnosis, planning, and aid in providing high-quality dental treatments in less time.</p>","PeriodicalId":73077,"journal":{"name":"Frontiers in dental medicine","volume":"5 ","pages":"1525505"},"PeriodicalIF":1.5,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11797767/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143366717","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}