Journal of the World Federation of Orthodontists最新文献

{"title":"Dr. Lawrence F. Andrews (1929–2024)","authors":"Will A. Andrews DDS","doi":"10.1016/j.ejwf.2024.11.004","DOIUrl":"10.1016/j.ejwf.2024.11.004","url":null,"abstract":"","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 310-311"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757532","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring the potential applications of intraoral scanners in the treatment of cleft lip and palate deformity—A scoping review of literature","authors":"Karthik Sennimalai ,&nbsp;Madhanraj Selvaraj ,&nbsp;Hamza Parvez Siddiqui ,&nbsp;Nitika Monga ,&nbsp;Kathijathul Hidhaya Sameemullah","doi":"10.1016/j.ejwf.2024.06.001","DOIUrl":"10.1016/j.ejwf.2024.06.001","url":null,"abstract":"<div><h3>Background</h3><div>In the realm of cleft lip and palate (CLP) care, the integration of intraoral scanners (IOS) may offer a promising avenue, enabling precise digital imaging, record-keeping, treatment planning and execution. This scoping review aimed to explore the current applications of IOS in CLP patients and discuss potential future directions for optimizing the utilization of IOS in cleft care.</div></div><div><h3>Material and methods</h3><div>The review was registered apriori in the Open Science Framework (OSF) Registries (<span><span>https://doi.org/10.17605/OSF.IO/KPD34</span><svg><path></path></svg></span>). A systematic search was conducted across various databases like Ovid MEDLINE, PubMed, Cochrane Library, Embase, Web of Science, Scopus, Google Scholar, Grey literature, and Trial registries using a broad search strategy. The articles published in any language till December 20, 2023 were considered. Studies that demonstrated the application of intraoral scanning in nonsyndromic CLP patients were included. A validated sixteen-item content assessment tool was used to evaluate the included studies. Two independent reviewers performed data extraction and content assessment.</div></div><div><h3>Results</h3><div>Fifteen research studies and thirteen case reports/series were included in the final analysis. Various applications included capturing intraoral and extraoral images, scanning orthodontic study models, assessing dental changes, monitoring treatment changes related to nasoalveolar molding therapy, and fabricating appliances. The content assessment showed below-average mean scores of 34.79 ± 9.37% for research studies and 39.7 ± 0.14% for case reports/series. This can be attributed to insufficient information on scanning parameters, methodology, accuracy, patient outcomes, limitations, and potential solutions. The reproducibility of landmark identification in IOS was within 0.2 mm. Patients and caregivers preferred digital impressions over traditional alginate methods, reporting positive experiences in 84.8% of cases.</div></div><div><h3>Conclusion</h3><div>Intraoral scanners offer good clinical accuracy and validity in assessing dentofacial and nasolabial morphology in cleft patients. Adopting IOS can streamline clinical workflows, enhance treatment accuracy, and improve patient outcomes in managing cleft lip and palate.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 265-278"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141856779","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microplastics and orthodontic aligners: The concerns arising from the modernization of practice through polymers and plastics","authors":"Nearchos Panayi ,&nbsp;Spyridon N. Papageorgiou ,&nbsp;George Eliades ,&nbsp;Theodore Eliades","doi":"10.1016/j.ejwf.2024.10.001","DOIUrl":"10.1016/j.ejwf.2024.10.001","url":null,"abstract":"<div><div>Plastic aligners have transformed orthodontics, offering a discreet, comfortable, and aesthetically pleasing alternative to traditional fixed appliances. While they have advantages over fixed appliances, they come with environmental and health concerns due to the use of nonbiodegradable plastics, such as the leaching of Bisphenol-A (BPA) and microplastics that can impact human health directly through ingestion. Studies have shown that plastic aligners release microplastics during use, raising concerns about their potential health effects and environmental pollution. The potential health effects of ingested microplastics extend beyond gut microbiota disruption to impact various systems in the body. Research suggests that microplastic exposure can lead to respiratory complications, cardiovascular risks, and implications for brain health and cognitive function. The mechanisms of microplastic uptake into the body through inhalation, ingestion, and skin contact are essential for understanding how these particles interact with human tissues and organs. By prioritizing patient safety, responsible practices, and advancing scientific knowledge the orthodontic community can work towards mitigating the potential health impacts associated with microplastic exposure from aligners.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 259-264"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142682224","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 orthodontic care: Integrating the biopsychosocial model for optimal patient outcomes","authors":"Vinod Krishnan (Editor-in-Chief)","doi":"10.1016/j.ejwf.2024.11.002","DOIUrl":"10.1016/j.ejwf.2024.11.002","url":null,"abstract":"","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 257-258"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of patient cooperation before orthodontic treatment: Handwriting and artificial intelligence","authors":"Farhad Salmanpour,&nbsp;Hasan Camcı","doi":"10.1016/j.ejwf.2024.07.004","DOIUrl":"10.1016/j.ejwf.2024.07.004","url":null,"abstract":"<div><h3>Background</h3><div>The purpose of this study was to compare the success of various convolutional neural network (CNN) models trained with handwriting samples in predicting patient cooperation.</div></div><div><h3>Methods</h3><div>A total of 237 (147 female and 90 male, mean age 14.94 ± 2.4) patients undergoing fixed orthodontic treatment were included in the study. In the 12th month of treatment, participants were divided into two groups based on the patient cooperation scale: cooperative or noncooperative. Then, for each patient, handwriting samples were obtained. Artificial neural network models were used to classify the patients as cooperative or noncooperative using the collected data. The accuracy, precision, recall, and F1-score values of nine different CNN models were compared.</div></div><div><h3>Results</h3><div>By overall success rate, InceptionResNetV2 (Accuracy: 72.0%, F1-score: 0.649) and NasNetMobil (Accuracy: 70.0%, F1-score: 0.417) were the two most effective CNN models. The two models with the lowest success rate were DenseNet121 (Accuracy: 59.0%, F1-score: 0.424) and ResNet50V2 (Accuracy: 46.0%, F1-score: 0.286). The success rates of the other five models were comparable.</div></div><div><h3>Conclusions</h3><div>The artificial intelligence models trained with handwriting samples are not sufficiently accurate for clinical application in cooperation prediction.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 303-309"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134132","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trends and insights in animal and biomedical research: A 5-year scientometric analysis of orthodontic peer-reviewed journals","authors":"Hams H. Abdelrahman ,&nbsp;Yomna M. Yacout ,&nbsp;Dina G. Hassan ,&nbsp;Mohamed G. Hassan ,&nbsp;Gamal A. Hassan","doi":"10.1016/j.ejwf.2024.08.003","DOIUrl":"10.1016/j.ejwf.2024.08.003","url":null,"abstract":"<div><h3>Background</h3><div>Biomedical research plays a critical role in advancing orthodontic innovations by identifying new targets for therapeutic interventions and developing more effective, personalized orthodontic treatment. This study evaluates the major contributors and trends in animal-related orthodontic research over the past 5 years (2017–2023).</div></div><div><h3>Methods</h3><div>All animal-related studies published in the eight orthodontic journals listed in the 2022 Journal Citation Reports between January 2017 and June 2023 were retrieved from the Web of Science Core Collection. After examination, the following bibliometric data were extracted from each article: title, authors, affiliations, geographic origin, year of publication, journal name, and keywords. Multiple bibliometric software packages including Biblioshiny R-package software, Datawrapper, and Datasmith were used to analyze different bibliometric outcomes.</div></div><div><h3>Results</h3><div>A total of 3669 articles were screened from which 266 were selected and included in the analysis. The annual growth rate of production exhibited a decline of 11.18%. Most of the included studies focused on orthodontic tooth movement (32.3%), mainly utilizing rat models (50%). Although the United States accounted for the highest number of publications (n = 236), the trend in funded research showed a decreasing trajectory over time, with notably limited funding from the National Institutes of Health.</div></div><div><h3>Conclusion</h3><div>This study reveals a declining trend in overall animal-related orthodontic research, highlighted by a significant decrease in National Institutes of Health funding over time. To address this gap, academic institutions and professional organizations should support initiatives fostering biomedical orthodontic research.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 6","pages":"Pages 279-287"},"PeriodicalIF":2.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142297900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of incipient enamel-carious–like lesion treated with hydroxyapatite-chitosan nanocomposite hydrogel","authors":"","doi":"10.1016/j.ejwf.2024.04.001","DOIUrl":"10.1016/j.ejwf.2024.04.001","url":null,"abstract":"<div><h3>Background</h3><div>Non-invasive restoration of tooth enamel is a topic of high relevance in dental material science. Multiple approaches have been proposed to reach optimum reconstruction results. The current study was performed to evaluate the cross-sectional microhardness besides mineral quality and content in artificially induced carious enamel after treatment with hydroxyapatite-chitosan (HAp-CS) nanocomposite gel.</div></div><div><h3>Methods</h3><div>Artificially carious lesions were induced by immersion of teeth in acidic carboxymethyl cellulose gel (pH 4.95–5) for 24- and 72-hours periods. Two different compositions of HAp-CS nanocomposite hydrogel were prepared with two different ratios 50/50 (%) and 70/30 (%), respectively. Additionally, sodium fluoride gel (1000 ppm concentration) was prepared and used as reference. Gels were applied to carious lesions twice/day for 3 min/each. After 45 days of application, surface morphology, energy dispersive x-ray spectroscopy, micro-Raman analysis in addition to cross-sectional microhardness were evaluated. Statistical analysis was performed using two-way ANOVA and <em>Tukey's</em> post hoc statistical tests.</div></div><div><h3>Results</h3><div>Surface morphological evaluation of treated surfaces showed obliteration of surface irregularities. Groups demineralized for 24 hours and treated with 70/30 (HAp-CS) showed highest significant cross-sectional-microhardness (<em>P</em> ≤ 0.05). Evaluated subsurface cross-sectional microhardness showed better mineral quality for groups demineralized for 24 hours and treated with HAp-CS nanocomposite gels.</div></div><div><h3>Conclusions</h3><div>Nanocomposite gel with 70/30 (HAp-CS) could efficiently improve cross-sectional microhardness and both minerals composition and quality for lesions demineralized for 24 hours. More severely induced lesions, as demineralized for 72 hours, need more powerful agent compositions and/or prolonged application protocols for improvement.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 5","pages":"Pages 211-220"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141028207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validity of digital analysis versus manual analysis on orthodontic casts","authors":"","doi":"10.1016/j.ejwf.2024.04.002","DOIUrl":"10.1016/j.ejwf.2024.04.002","url":null,"abstract":"<div><h3>Background</h3><div>As artificial intelligence within digital processes continues to advance and replace conventional manual workflows, it is crucial that digital data are consistent with analog data. The aim was to evaluate the validity and time efficiency of digital cast analysis on digital models in comparison with the manual, gold standard, cast analysis on plaster models.</div></div><div><h3>Methods</h3><div>Cast analysis was performed on 30 patients in three various methods: manually measured variables on plaster models (MP), manually measured variables on digital three-dimensional models (MD), and automatically measured variables on digital three-dimensional models (AD) on digital models. Digital cast analysis was performed in CS Model+. Analyses included metrical and categorical variables and the required work time. Measurements in MD and AD were validated to MP. Validity of the metrical variables was analyzed with Bland-Altman, Dahlberg's formula, and paired sample <em>t</em> test. Categorical variables were validated by Cohen's Kappa. Work time was analyzed with Wilcoxon signed-rank test.</div></div><div><h3>Results</h3><div>Metrical variables had measurement errors ranging 0.4 to 1.4 mm between MP-MD, and 0.6 to 3.2 mm between MP-AD. Observations of categorical variables had a moderate to strong (0.65 to 0.9) level of agreement between MP-MD, and a weak to moderate (0.4 to 0.68) level of agreement between MP-AD. Data for dental stage, vertical, and transversal relation was not provided in AD. Cast analysis was performed quicker digitally, <em>P ≤</em> 0.05.</div></div><div><h3>Conclusions</h3><div>Digital cast analysis is consistent with manual cast analysis for metrical variables. Analyses of categorical variables show a weak level of agreement with automatic digital analysis, such as space conditions and midline assessments. Digital cast analysis optimizes time compared with manual cast analysis, with automatic analysis being the fastest.</div></div>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 5","pages":"Pages 221-228"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141200720","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":"Evaluation of incipient enamel-carious-like lesion treated with hydroxyapatite-chitosan nanocomposite hydrogel.","authors":"Salma M Fathy, Alsayed Abdelhafez, Fawzy A Darwesh, Tarek A Elkhooly","doi":"10.1016/j.ejwf.2024.04.001","DOIUrl":"10.1016/j.ejwf.2024.04.001","url":null,"abstract":"<p><strong>Background: </strong>Non-invasive restoration of tooth enamel is a topic of high relevance in dental material science. Multiple approaches have been proposed to reach optimum reconstruction results. The current study was performed to evaluate the cross-sectional microhardness besides mineral quality and content in artificially induced carious enamel after treatment with hydroxyapatite-chitosan (HAp-CS) nanocomposite gel.</p><p><strong>Methods: </strong>Artificially carious lesions were induced by immersion of teeth in acidic carboxymethyl cellulose gel (pH 4.95-5) for 24- and 72-hours periods. Two different compositions of HAp-CS nanocomposite hydrogel were prepared with two different ratios 50/50 (%) and 70/30 (%), respectively. Additionally, sodium fluoride gel (1000 ppm concentration) was prepared and used as reference. Gels were applied to carious lesions twice/day for 3 min/each. After 45 days of application, surface morphology, energy dispersive x-ray spectroscopy, micro-Raman analysis in addition to cross-sectional microhardness were evaluated. Statistical analysis was performed using two-way ANOVA and Tukey's post hoc statistical tests.</p><p><strong>Results: </strong>Surface morphological evaluation of treated surfaces showed obliteration of surface irregularities. Groups demineralized for 24 hours and treated with 70/30 (HAp-CS) showed highest significant cross-sectional-microhardness (P ≤ 0.05). Evaluated subsurface cross-sectional microhardness showed better mineral quality for groups demineralized for 24 hours and treated with HAp-CS nanocomposite gels.</p><p><strong>Conclusions: </strong>Nanocomposite gel with 70/30 (HAp-CS) could efficiently improve cross-sectional microhardness and both minerals composition and quality for lesions demineralized for 24 hours. More severely induced lesions, as demineralized for 72 hours, need more powerful agent compositions and/or prolonged application protocols for improvement.</p>","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":" ","pages":"211-220"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140960131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are you stressed at work?","authors":"Vinod Krishnan","doi":"10.1016/j.ejwf.2024.09.002","DOIUrl":"10.1016/j.ejwf.2024.09.002","url":null,"abstract":"","PeriodicalId":43456,"journal":{"name":"Journal of the World Federation of Orthodontists","volume":"13 5","pages":"Pages 197-198"},"PeriodicalIF":2.6,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142357624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}