Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2025.105558
Mustafa Borga Dönmez , Gülce Çakmak , Martin Schimmel , Morse Bayadse , Burak Yilmaz , Samir Abou-Ayash
Objective
To compare the in vitro scan accuracy (trueness and precision) of recently introduced wireless intraoral scanners (IOSs) to commonly used wired IOSs in different fixed partial denture (FPD) situations.
Methods
Three partially edentulous maxillary models with implants located at different sites (lateral incisors [Model 1]; right canine and first molar [Model 2]; right first premolar and first molar [Model 3]) were digitized with wireless (Primescan 2 [P2] and TRIOS 5 [T5]) and wired (Primescan [P1] and TRIOS 3 [T3]) IOSs (n = 14 per IOS-model pair). The models were also digitized with an industrial-grade optical scanner for their reference scans. The IOS scans were superimposed over the reference scans to evaluate the 3D distance, angular, and 2D interimplant distance deviations (trueness). The variance of measured deviations was defined as the precision and all data were analyzed with bootstrap analysis of variance and Holm-corrected Welch tests (α = 0.05).
Results
The IOS, FPD situation, and their interaction affected the scan accuracy (P < 0.001). P2 scans mostly had the highest and the scans of Model 2 mostly had the lowest 3D distance accuracy (P ≤ 0.030). P1 scans had the highest angular accuracy within each model, followed by the P2 scans in Models 1 and 2 (P ≤ 0.002). P1 scans mostly had higher 2D interimplant distance accuracy (P ≤ 0.047).
Conclusions
Digital impressions of tested FPD situations had high accuracy mostly with P1 and P2. The scans for a posterior 4-unit FPD might have higher inaccuracies, regardless of the tested IOSs.
{"title":"Scan accuracy of recently introduced wireless intraoral scanners in different fixed partial denture situations","authors":"Mustafa Borga Dönmez , Gülce Çakmak , Martin Schimmel , Morse Bayadse , Burak Yilmaz , Samir Abou-Ayash","doi":"10.1016/j.jdent.2025.105558","DOIUrl":"10.1016/j.jdent.2025.105558","url":null,"abstract":"<div><h3>Objective</h3><div>To compare the in vitro scan accuracy (trueness and precision) of recently introduced wireless intraoral scanners (IOSs) to commonly used wired IOSs in different fixed partial denture (FPD) situations.</div></div><div><h3>Methods</h3><div>Three partially edentulous maxillary models with implants located at different sites (lateral incisors [Model 1]; right canine and first molar [Model 2]; right first premolar and first molar [Model 3]) were digitized with wireless (Primescan 2 [P2] and TRIOS 5 [T5]) and wired (Primescan [P1] and TRIOS 3 [T3]) IOSs (<em>n</em> = 14 per IOS-model pair). The models were also digitized with an industrial-grade optical scanner for their reference scans. The IOS scans were superimposed over the reference scans to evaluate the 3D distance, angular, and 2D interimplant distance deviations (trueness). The variance of measured deviations was defined as the precision and all data were analyzed with bootstrap analysis of variance and Holm-corrected Welch tests (α = 0.05).</div></div><div><h3>Results</h3><div>The IOS, FPD situation, and their interaction affected the scan accuracy (<em>P</em> < 0.001). P2 scans mostly had the highest and the scans of Model 2 mostly had the lowest 3D distance accuracy (<em>P</em> ≤ 0.030). P1 scans had the highest angular accuracy within each model, followed by the P2 scans in Models 1 and 2 (<em>P</em> ≤ 0.002). P1 scans mostly had higher 2D interimplant distance accuracy (<em>P</em> ≤ 0.047).</div></div><div><h3>Conclusions</h3><div>Digital impressions of tested FPD situations had high accuracy mostly with P1 and P2. The scans for a posterior 4-unit FPD might have higher inaccuracies, regardless of the tested IOSs.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105558"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142931997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105462
Yumin Wu , Lumei Huang , Bing Ge , Yuhang Zhang , Juan Zhang , Haifeng Xie , Ye Zhu , Chen Chen
Objective
To evaluate the digital guide technique for removing fiber posts from molars and compare it with the conventional microscope-assisted ultrasound method.
Methods
Two mandibular dentition models, each comprising six extracted molars, were prepared. Two thick and straight canals distributed separately in the distal and mesial roots of each molar were selected for placing the fiber posts. The 24 posts in the two dentition models were removed using 3D-printed resin guides, or a microscope and an ultrasonic device. The time taken to remove the fiber post from each tooth was recorded. The volume loss, deviation values (angular deviation and horizontal and vertical deviations of the tip), and formation of microcracks before and after fiber post removal were determined using micro-computed tomography images.
Results
The digital guide technique took significantly less time than the microscope-assisted ultrasound technique (p < 0.05). No significant differences in horizontal and vertical tip deviations were observed between the two groups. The angular deviation and volume loss in the guide group were significantly lower than those in the ultrasound group (p < 0.05). New dentin microcracks were formed in the ultrasound group but not in the digital guide group.
Conclusion
Using a 3D-printed resin guide plate can shorten the fiber post removal time and improve the stability and safety compared to the microscope-assisted ultrasound technique.
Clinical significance
3D-printed resin guides can reduce the fiber post removal time and provide better stability and safety than the conventional method.
目的评估拔除磨牙纤维桩的数字引导技术，并与传统的显微镜辅助超声波方法进行比较：方法：制备两个下颌牙模型，每个模型包括六颗拔出的磨牙。每个臼齿的远端和中端牙根上分别分布着两个粗而直的根管，用于放置纤维桩。使用 3D 打印的树脂导板或显微镜和超声波装置拔除两个牙体模型中的 24 根纤维桩。记录从每颗牙齿上拔除纤维桩所需的时间。使用微型计算机断层扫描图像确定了拔除纤维桩前后的体积损失、偏差值（尖端的角度偏差、水平偏差和垂直偏差）以及微裂缝的形成：结果：数字引导技术所需的时间明显少于显微镜辅助超声技术（P < 0.05）。两组之间的水平和垂直尖端偏差无明显差异。导板组的角度偏差和体积损失明显低于超声组（P < 0.05）。结论：结论：与显微镜辅助超声技术相比，使用三维打印树脂导板可以缩短纤维桩去除时间，提高稳定性和安全性：临床意义：与传统方法相比，三维打印树脂导板可以缩短纤维后切除时间，并提供更好的稳定性和安全性。
{"title":"Application of 3D-printed resin guides for the removal of molar fiber posts","authors":"Yumin Wu , Lumei Huang , Bing Ge , Yuhang Zhang , Juan Zhang , Haifeng Xie , Ye Zhu , Chen Chen","doi":"10.1016/j.jdent.2024.105462","DOIUrl":"10.1016/j.jdent.2024.105462","url":null,"abstract":"<div><h3>Objective</h3><div>To evaluate the digital guide technique for removing fiber posts from molars and compare it with the conventional microscope-assisted ultrasound method.</div></div><div><h3>Methods</h3><div>Two mandibular dentition models, each comprising six extracted molars, were prepared. Two thick and straight canals distributed separately in the distal and mesial roots of each molar were selected for placing the fiber posts. The 24 posts in the two dentition models were removed using 3D-printed resin guides, or a microscope and an ultrasonic device. The time taken to remove the fiber post from each tooth was recorded. The volume loss, deviation values (angular deviation and horizontal and vertical deviations of the tip), and formation of microcracks before and after fiber post removal were determined using micro-computed tomography images.</div></div><div><h3>Results</h3><div>The digital guide technique took significantly less time than the microscope-assisted ultrasound technique (<em>p</em> < 0.05). No significant differences in horizontal and vertical tip deviations were observed between the two groups. The angular deviation and volume loss in the guide group were significantly lower than those in the ultrasound group (<em>p</em> < 0.05). New dentin microcracks were formed in the ultrasound group but not in the digital guide group.</div></div><div><h3>Conclusion</h3><div>Using a 3D-printed resin guide plate can shorten the fiber post removal time and improve the stability and safety compared to the microscope-assisted ultrasound technique.</div></div><div><h3>Clinical significance</h3><div>3D-printed resin guides can reduce the fiber post removal time and provide better stability and safety than the conventional method.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105462"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142621816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105526
Ka-Kei Chau , Meilu Zhu , Abeer AlHadidi , Cheng Wang , Kuofeng Hung , Pierre Wohlgemuth , Walter Yu Hang Lam , Weicai Liu , Yixuan Yuan , Hui Chen
Objectives
Periapical lesions are not always evident on radiographic scans. Sometimes, asymptomatic or initial periapical lesions on cone-beam computed tomography (CBCT) could be missed by inexperienced dentists, especially when the scan has a large field of view and is not for endodontic treatment purposes. Previously, numerous algorithms have been introduced to assist radiographic assessment and diagnosis in the field of endodontics. This study aims to investigate the efficacy of CBCT-SAM, a new artificial intelligence (AI) model, in identifying periapical lesions on CBCT.
Methods
Model training and validation in this study was performed using 185 CBCT scans with confirmed periapical lesions. Manual segmentation labels were prepared by a trained operator and validated by a maxillofacial radiologist. The diagnostic and segmentation performances of four AI models were evaluated and compared: CBCT-SAM, CBCT-SAM without progressive Prediction Refinement Module (PPR), and two previously developed models: Modified U-Net and PAL-Net. Accuracy was used to evaluated the diagnostic performance of the models, and accuracy, sensitivity, specificity, precision and Dice Similarity Coefficient (DSC) were used to evaluate the models’ segmentation performance.
Results
CBCT-SAM achieved an average diagnostic accuracy of 98.92% ± 010.37% and an average segmentation accuracy of 99.65% ± 0.66%. The average sensitivity, specificity, precision and DSC were 72.36 ± 21.61%, 99.87% ± 0.11%, 0.73 ± 0.21 and 0.70 ± 0.19. CBCT-SAM and PAL-Net performed significantly better than Modified U-Net in segmentation accuracy (p = 0.023, p = 0.041), sensitivity (p = 0.000, p = 0.002), and DSC (p= 0.001, p= 0.004). There is no significant difference between CBCT-SAM, CBCT-SAM without PPR and PAL-Net. However, with PPR incorporated into the model, CBCT-SAM slightly surpassed PAL-Net in the diagnostic and segmentation tasks.
Conclusions
CBCT-SAM is capable of providing expert-level assistance in the identification of periapical lesions on CBCT.
Clinical significance
The application of artificial intelligence could increase dentists' chairside diagnostic accuracy and efficiency. By assisting radiographic assessment, such as periapical lesions on CBCT, it helps reduce the chance of missed diagnosis by human errors and facilitates early detection and treatment of dental pathologies at the early stage.
{"title":"A novel AI model for detecting periapical lesion on CBCT: CBCT-SAM","authors":"Ka-Kei Chau , Meilu Zhu , Abeer AlHadidi , Cheng Wang , Kuofeng Hung , Pierre Wohlgemuth , Walter Yu Hang Lam , Weicai Liu , Yixuan Yuan , Hui Chen","doi":"10.1016/j.jdent.2024.105526","DOIUrl":"10.1016/j.jdent.2024.105526","url":null,"abstract":"<div><h3>Objectives</h3><div>Periapical lesions are not always evident on radiographic scans. Sometimes, asymptomatic or initial periapical lesions on cone-beam computed tomography (CBCT) could be missed by inexperienced dentists, especially when the scan has a large field of view and is not for endodontic treatment purposes. Previously, numerous algorithms have been introduced to assist radiographic assessment and diagnosis in the field of endodontics. This study aims to investigate the efficacy of CBCT-SAM, a new artificial intelligence (AI) model, in identifying periapical lesions on CBCT.</div></div><div><h3>Methods</h3><div>Model training and validation in this study was performed using 185 CBCT scans with confirmed periapical lesions. Manual segmentation labels were prepared by a trained operator and validated by a maxillofacial radiologist. The diagnostic and segmentation performances of four AI models were evaluated and compared: CBCT-SAM, CBCT-SAM without progressive Prediction Refinement Module (PPR), and two previously developed models: Modified U-Net and PAL-Net. Accuracy was used to evaluated the diagnostic performance of the models, and accuracy, sensitivity, specificity, precision and Dice Similarity Coefficient (DSC) were used to evaluate the models’ segmentation performance.</div></div><div><h3>Results</h3><div>CBCT-SAM achieved an average diagnostic accuracy of 98.92% ± 010.37% and an average segmentation accuracy of 99.65% ± 0.66%. The average sensitivity, specificity, precision and DSC were 72.36 ± 21.61%, 99.87% ± 0.11%, 0.73 ± 0.21 and 0.70 ± 0.19. CBCT-SAM and PAL-Net performed significantly better than Modified U-Net in segmentation accuracy (<em>p</em> = 0.023, <em>p</em> = 0.041), sensitivity (<em>p</em> = 0.000, <em>p</em> = 0.002), and DSC (<em>p</em> <em>=</em> 0.001, <em>p</em> <em>=</em> 0.004). There is no significant difference between CBCT-SAM, CBCT-SAM without PPR and PAL-Net. However, with PPR incorporated into the model, CBCT-SAM slightly surpassed PAL-Net in the diagnostic and segmentation tasks.</div></div><div><h3>Conclusions</h3><div>CBCT-SAM is capable of providing expert-level assistance in the identification of periapical lesions on CBCT.</div></div><div><h3>Clinical significance</h3><div>The application of artificial intelligence could increase dentists' chairside diagnostic accuracy and efficiency. By assisting radiographic assessment, such as periapical lesions on CBCT, it helps reduce the chance of missed diagnosis by human errors and facilitates early detection and treatment of dental pathologies at the early stage.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105526"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142818414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105530
Trishnika Chakraborty , Marise S Kaper , Josue Almansa , Annemarie A Schuller , Sijmen A Reijneveld
Objective
Health literacy (HL), the ability to deal with information related to one's health, may affect oral health via several routes. Therefore, this study aimed to examine the association of HL with oral diseases, and whether this association is mediated by oral health behaviour and dental care utilisation.
Methods
We included 26,983 participants from the prospective multigenerational Dutch Lifelines Cohort Study to estimate the association between limited health literacy, and self-reported oral health outcomes (edentulism and gingivitis), and mediation by oral health behaviour and dental care utilisation. Structural equation modelling was used to assess HL's direct, indirect, and total effects on oral health outcomes.
Results
Limited health-literate participants had increased odds of having poor oral health outcomes, i.e. edentulism (odds ratio: 1.41; 95 %-confidence interval: 1.24 to 1.58) and gingivitis (1.22; 1.14 to 1.30). After adjustment for age, income, and education, brushing behaviour and dental care utilization showed a significant mediation effect. Brushing behaviour mediated 7.4 % of the association between HL and edentulism and 6.7 % for gingivitis. Dental visits accounted for 38.0 % of the association between HL and edentulism and 16.4 % for gingivitis.
Conclusions
Limited HL makes edentulism and gingivitis more likely, with poor oral health behaviour and inadequate dental care utilisation being important mediators. The findings suggest that interventions should focus on helping dental professionals recognize patients with limited HL and providing training in patient-centered communication to improve oral health outcomes.
Clinical Significance
This study demonstrates that limited health literacy significantly increases the risk of edentulism and gingivitis, mediated by inadequate oral health behaviours and dental care utilization. These findings highlight the need for targeted interventions to improve HL, thereby enhancing oral health outcomes and reducing disparities in clinical dental practice.
{"title":"Health literacy, oral diseases, and contributing pathways: results from the Lifelines Cohort Study","authors":"Trishnika Chakraborty , Marise S Kaper , Josue Almansa , Annemarie A Schuller , Sijmen A Reijneveld","doi":"10.1016/j.jdent.2024.105530","DOIUrl":"10.1016/j.jdent.2024.105530","url":null,"abstract":"<div><h3>Objective</h3><div>Health literacy (HL), the ability to deal with information related to one's health, may affect oral health via several routes. Therefore, this study aimed to examine the association of HL with oral diseases, and whether this association is mediated by oral health behaviour and dental care utilisation.</div></div><div><h3>Methods</h3><div>We included 26,983 participants from the prospective multigenerational Dutch Lifelines Cohort Study to estimate the association between limited health literacy, and self-reported oral health outcomes (edentulism and gingivitis), and mediation by oral health behaviour and dental care utilisation. Structural equation modelling was used to assess HL's direct, indirect, and total effects on oral health outcomes.</div></div><div><h3>Results</h3><div>Limited health-literate participants had increased odds of having poor oral health outcomes, i.e. edentulism (odds ratio: 1.41; 95 %-confidence interval: 1.24 to 1.58) and gingivitis (1.22; 1.14 to 1.30). After adjustment for age, income, and education, brushing behaviour and dental care utilization showed a significant mediation effect. Brushing behaviour mediated 7.4 % of the association between HL and edentulism and 6.7 % for gingivitis. Dental visits accounted for 38.0 % of the association between HL and edentulism and 16.4 % for gingivitis.</div></div><div><h3>Conclusions</h3><div>Limited HL makes edentulism and gingivitis more likely, with poor oral health behaviour and inadequate dental care utilisation being important mediators<em>.</em> The findings suggest that interventions should focus on helping dental professionals recognize patients with limited HL and providing training in patient-centered communication to improve oral health outcomes.</div></div><div><h3>Clinical Significance</h3><div>This study demonstrates that limited health literacy significantly increases the risk of edentulism and gingivitis, mediated by inadequate oral health behaviours and dental care utilization. These findings highlight the need for targeted interventions to improve HL, thereby enhancing oral health outcomes and reducing disparities in clinical dental practice.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105530"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105517
Michael Willian Favoreto , Thalita de Paris Matos , Kaliane Rodrigues da Cruz , Aline Xavier Ferraz , Taynara de Souza Carneiro , Alessandra Reis , Alessandro D. Loguercio , Cristiano Miranda de Araujo
Objective
To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models.
Materials and methods
Retrospective data from 458 patients were analyzed, including variables such as the occurrence and intensity of TS, basal tooth color, bleaching material characteristics (concentration and pH), intervention details (number and duration of applications), and patient age. Classification and regression models were evaluated using 5-fold cross-validation and assessed based on various performance parameters.
Results
For the predictive classification task (occurrence of TS), the developed models achieved a maximum area under the receiver operating characteristic curve (AUC) of 0.76 [0.62–0.88] on the test data, with an F1-score of 0.80 [0.71–0.87]. In cross-validation, the highest AUC reached 0.86 [0.84–0.88], and the highest F1-score was 0.78 [0.75–0.83]. For predicting TS intensity, the regression models demonstrated a minimum mean absolute error (MAE) of 1.76 [1.45–2.06] and a root mean square error (RMSE) of 2.38 [2.06–2.69] on the test set. During cross-validation, the lowest MAE was 1.84 [1.67–2.03], with an RMSE of 2.39 [2.20–2.58].
Conclusions
The supervised machine learning model for estimating the occurrence and intensity of TS in patients undergoing in-office bleaching demonstrated good predictive power. The Gradient Boosting Classifier and Support Vector Machine Regressor algorithms stood out as having the greatest predictive power among those tested.
Clinical relevance
These models can serve as valuable tools for anticipating tooth sensitivity in this patient population, facilitating better post-treatment management and control.
{"title":"Prediction based on machine learning of tooth sensitivity for in-office dental bleaching","authors":"Michael Willian Favoreto , Thalita de Paris Matos , Kaliane Rodrigues da Cruz , Aline Xavier Ferraz , Taynara de Souza Carneiro , Alessandra Reis , Alessandro D. Loguercio , Cristiano Miranda de Araujo","doi":"10.1016/j.jdent.2024.105517","DOIUrl":"10.1016/j.jdent.2024.105517","url":null,"abstract":"<div><h3>Objective</h3><div>To develop a supervised machine learning model to predict the occurrence and intensity of tooth sensitivity (TS) in patients undergoing in-office dental bleaching testing various algorithm models.</div></div><div><h3>Materials and methods</h3><div>Retrospective data from 458 patients were analyzed, including variables such as the occurrence and intensity of TS, basal tooth color, bleaching material characteristics (concentration and pH), intervention details (number and duration of applications), and patient age. Classification and regression models were evaluated using 5-fold cross-validation and assessed based on various performance parameters.</div></div><div><h3>Results</h3><div>For the predictive classification task (occurrence of TS), the developed models achieved a maximum area under the receiver operating characteristic curve (AUC) of 0.76 [0.62–0.88] on the test data, with an F1-score of 0.80 [0.71–0.87]. In cross-validation, the highest AUC reached 0.86 [0.84–0.88], and the highest F1-score was 0.78 [0.75–0.83]. For predicting TS intensity, the regression models demonstrated a minimum mean absolute error (MAE) of 1.76 [1.45–2.06] and a root mean square error (RMSE) of 2.38 [2.06–2.69] on the test set. During cross-validation, the lowest MAE was 1.84 [1.67–2.03], with an RMSE of 2.39 [2.20–2.58].</div></div><div><h3>Conclusions</h3><div>The supervised machine learning model for estimating the occurrence and intensity of TS in patients undergoing in-office bleaching demonstrated good predictive power. The Gradient Boosting Classifier and Support Vector Machine Regressor algorithms stood out as having the greatest predictive power among those tested.</div></div><div><h3>Clinical relevance</h3><div>These models can serve as valuable tools for anticipating tooth sensitivity in this patient population, facilitating better post-treatment management and control.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105517"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142791933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105520
N.F. Nordblom , K. Hertrampf , S. Habig , S. Gabelmann , P. Schlattmann , H. Orawa , G. Meyer , G. Gaßmann , J. Abraham , L.M. Wobst , F. Schwendicke
Objectives
We conducted a cluster-randomized-controlled trial (cRCT) in 18 German nursing homes (NH) to evaluate the cost-effectiveness of reinstruction and remotivation of nursing staff by dental assistants (DAs) over 13 months.
Methods
In the intervention arm, dentists examined NH residents, identified oral health conditions, and prescribed individualized oral care interventions. Nursing staff delivered these interventions, with regular follow-up support from DAs (reinstruction and remotivation). In the control group, similar interventions were prescribed via a standardized form, without reinstruction and remotivation (standard of care). The primary outcome was Oral-Health-related Quality-of-Life (OHrQoL) using the Geriatric/General Oral Health Assessment Index (ADD-GOHAI). Secondary outcomes included Health-related Quality-of-Life (HrQoL) using the EQ-5D summary index and caries experience (DMFT index). Costs, including those for staff, materials, and travel, were assessed in Euro 2022. Cost-effectiveness ratios and bootstrapping simulations assessed cost-effectiveness-acceptability at different willingness-to-pay thresholds.
Results
Of 358 recruited participants, 68 and 63 in the intervention and control group completed the study. No significant differences existed between groups in demographics or baseline health measures. After 13 months, changes in ADD-GOHAI and DMFT scores were minimal and non-significant, while EQ-5D scores decreased in the intervention group (p < 0.001). Total costs were higher in the intervention arm (median 121.10 Euro) versus the control (median 0 Euro, p < 0.001), mainly due to travel expenses. The intervention increased dental service use but demonstrated lower cost-effectiveness acceptability.
Conclusions
DA-led reinstruction did not improve OHrQoL, negatively impacted HrQoL, and increased costs. Notably, our study was suffering from significant attrition, impacting on statistical power.
Clinical significance
Reinstruction and remotivation by dental assistants did not improve OHrQoL, but generated significant costs, mainly due to an uptake of dental services.
Trial registration
: ClinicalTrials.gov (Trial registration number NCT04140929)
{"title":"Cost-effectiveness-analysis of oral health remotivation and reinstruction in nursing homes in a cluster-randomized controlled trial","authors":"N.F. Nordblom , K. Hertrampf , S. Habig , S. Gabelmann , P. Schlattmann , H. Orawa , G. Meyer , G. Gaßmann , J. Abraham , L.M. Wobst , F. Schwendicke","doi":"10.1016/j.jdent.2024.105520","DOIUrl":"10.1016/j.jdent.2024.105520","url":null,"abstract":"<div><h3>Objectives</h3><div>We conducted a cluster-randomized-controlled trial (cRCT) in 18 German nursing homes (NH) to evaluate the cost-effectiveness of reinstruction and remotivation of nursing staff by dental assistants (DAs) over 13 months.</div></div><div><h3>Methods</h3><div>In the intervention arm, dentists examined NH residents, identified oral health conditions, and prescribed individualized oral care interventions. Nursing staff delivered these interventions, with regular follow-up support from DAs (reinstruction and remotivation). In the control group, similar interventions were prescribed via a standardized form, without reinstruction and remotivation (standard of care). The primary outcome was Oral-Health-related Quality-of-Life (OHrQoL) using the Geriatric/General Oral Health Assessment Index (ADD-GOHAI). Secondary outcomes included Health-related Quality-of-Life (HrQoL) using the EQ-5D summary index and caries experience (DMFT index). Costs, including those for staff, materials, and travel, were assessed in Euro 2022. Cost-effectiveness ratios and bootstrapping simulations assessed cost-effectiveness-acceptability at different willingness-to-pay thresholds.</div></div><div><h3>Results</h3><div>Of 358 recruited participants, 68 and 63 in the intervention and control group completed the study. No significant differences existed between groups in demographics or baseline health measures. After 13 months, changes in ADD-GOHAI and DMFT scores were minimal and non-significant, while EQ-5D scores decreased in the intervention group (<em>p</em> < 0.001). Total costs were higher in the intervention arm (median 121.10 Euro) versus the control (median 0 Euro, <em>p</em> < 0.001), mainly due to travel expenses. The intervention increased dental service use but demonstrated lower cost-effectiveness acceptability.</div></div><div><h3>Conclusions</h3><div>DA-led reinstruction did not improve OHrQoL, negatively impacted HrQoL, and increased costs. Notably, our study was suffering from significant attrition, impacting on statistical power.</div></div><div><h3>Clinical significance</h3><div>Reinstruction and remotivation by dental assistants did not improve OHrQoL, but generated significant costs, mainly due to an uptake of dental services.</div></div><div><h3>Trial registration</h3><div>: ClinicalTrials.gov (Trial registration number NCT04140929)</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105520"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105532
Romina Ñaupari-Villasante , Byron Carpio-Salvatierra , Thalita P. Matos , André de Freitas , Romina Aliaga-Galvez , Mario F. Gutiérrez , María Cristina Binz-Ordonez , Alessandra Reis , Alessandro D. Loguercio
Objectives
To evaluate the clinical performance of a universal adhesive system containing 0.1 % copper nanoparticles (CuNp) in non-carious cervical lesions (NCCLs) after 6 years.
Material and methods
Two hundred and sixteen restorations (n = 54) were randomly placed in 36 participants with at least four NCCLs. Groups included: ER-Cu (adhesive in etch-and-rinse strategy with CuNp), ER-Ct (etch-and-rinse without CuNp), SE-Cu (self-etch with CuNp), and SE-Ct (self-etch without CuNp). Restorations were evaluated at baseline and after 1, 3, 4, and 6 years using the FDI and USPHS criteria. Primary outcome: fracture of material and retention. Examiners and patients were blinded to group assignment.
Results
After 6 years, 104 restorations were analyzed (ER-Cu 24, ER-Ct 29, SE-Cu 27, SE-Ct 24). Fourteen restorations loss retention (ER-Cu 6, ER-Ct 1, SE-Cu 2, SE-Ct 7). Retention rates (95 % confidence interval) were 79.3 % (61.6 – 90.1) for ER-Cu; 97.0 % (83.3 – 99.4) for ER-Ct; 93.1 % (78.1 – 98.1) for SE-Cu; and 76.7 % (59.1 – 88.2) for SE-Ct, with statistical differences between SE-Cu vs. ER-Ct, and SE-Ct vs. ER-Ct (p < 0.05). Thirty-one restorations (ER-Cu 6, ER-Ct 5, SE-Cu 9, SE-Ct 11) showed minor marginal staining, and forty-one restorations (ER-Cu 8, ER-Ct 10, SE-Cu 11, SE-Ct 12) presented minimal marginal adaptation defects (p > 0.05). No significant differences were found for other secondary parameters (p > 0.05).
Conclusion
This is the first 6-year clinical trial showing the long-term behavior of a universal adhesive system in NCCLs. The addition of CuNp does not affect the clinical performance of the universal adhesive.
{"title":"Six-year clinical evaluation of a copper-containing universal adhesive in non-carious cervical lesions: A split-mouth double-blind randomized clinical trial","authors":"Romina Ñaupari-Villasante , Byron Carpio-Salvatierra , Thalita P. Matos , André de Freitas , Romina Aliaga-Galvez , Mario F. Gutiérrez , María Cristina Binz-Ordonez , Alessandra Reis , Alessandro D. Loguercio","doi":"10.1016/j.jdent.2024.105532","DOIUrl":"10.1016/j.jdent.2024.105532","url":null,"abstract":"<div><h3>Objectives</h3><div>To evaluate the clinical performance of a universal adhesive system containing 0.1 % copper nanoparticles (CuNp) in non-carious cervical lesions (NCCLs) after 6 years.</div></div><div><h3>Material and methods</h3><div>Two hundred and sixteen restorations (<em>n</em> = 54) were randomly placed in 36 participants with at least four NCCLs. Groups included: ER-Cu (adhesive in etch-and-rinse strategy with CuNp), ER-Ct (etch-and-rinse without CuNp), SE-Cu (self-etch with CuNp), and SE-Ct (self-etch without CuNp). Restorations were evaluated at baseline and after 1, 3, 4, and 6 years using the FDI and USPHS criteria. Primary outcome: fracture of material and retention. Examiners and patients were blinded to group assignment.</div></div><div><h3>Results</h3><div>After 6 years, 104 restorations were analyzed (ER-Cu 24, ER-Ct 29, SE-Cu 27, SE-Ct 24). Fourteen restorations loss retention (ER-Cu 6, ER-Ct 1, SE-Cu 2, SE-Ct 7). Retention rates (95 % confidence interval) were 79.3 % (61.6 – 90.1) for ER-Cu; 97.0 % (83.3 – 99.4) for ER-Ct; 93.1 % (78.1 – 98.1) for SE-Cu; and 76.7 % (59.1 – 88.2) for SE-Ct, with statistical differences between SE-Cu vs. ER-Ct, and SE-Ct vs. ER-Ct (<em>p</em> < 0.05). Thirty-one restorations (ER-Cu 6, ER-Ct 5, SE-Cu 9, SE-Ct 11) showed minor marginal staining, and forty-one restorations (ER-Cu 8, ER-Ct 10, SE-Cu 11, SE-Ct 12) presented minimal marginal adaptation defects (<em>p</em> > 0.05). No significant differences were found for other secondary parameters (<em>p</em> > 0.05).</div></div><div><h3>Conclusion</h3><div>This is the first 6-year clinical trial showing the long-term behavior of a universal adhesive system in NCCLs. The addition of CuNp does not affect the clinical performance of the universal adhesive.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105532"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142828711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105536
Yuchen Liu , Nannan Wang , Danchen Qin , Xiaohui Chen , Hongye Yang , Fang Hua
Objectives
To present an overview of quantum dots’ (QDs) applications in dental and oral medicine, identify research gaps in existing relevant research, and provide insights into future research.
Data and sources
An extensive electronic search was conducted across five databases from their inception to April 2024, complemented by a manual search. There were no restrictions regarding language or publication year.
Study selection
Out of 2,483 records identified, 87 studies were included for analysis. The first application of QDs in dentistry was to use their bioimaging capabilities, which is their most well-known functionalities in the biomedical area. In the last 5 years, the number of studies has increased (n = 52), while the study areas have gradually broadened, demonstrating its unique form of application in dentistry. Included studies span seven key areas: bioimaging (n = 21), antibacterial effect (n = 20), tooth restoration (n = 15), oral cancer therapy (n = 12), tissue engineering (n = 10), biosensing (n = 6), and anti-inflammation (n = 3). Amongst the included studies, carbon-based QDs received the greatest attention (n = 54), owing to their excellent biocompatibility and readily functionalizable surface.
Conclusions/Clinical significance
This review emphasizes the great potential of QDs in enhancing the quality and efficiency of dental clinical diagnosis and treatment. They not only show the possibility of applications beyond the traditional function, but also provide a completely new concept for improving oral disease diagnosis and treatment technology. However, successful clinical translation requires ongoing research and optimization, which is a critical process.
{"title":"The application of quantum dots in dental and oral medicine: A scoping review","authors":"Yuchen Liu , Nannan Wang , Danchen Qin , Xiaohui Chen , Hongye Yang , Fang Hua","doi":"10.1016/j.jdent.2024.105536","DOIUrl":"10.1016/j.jdent.2024.105536","url":null,"abstract":"<div><h3>Objectives</h3><div>To present an overview of quantum dots’ (QDs) applications in dental and oral medicine, identify research gaps in existing relevant research, and provide insights into future research.</div></div><div><h3>Data and sources</h3><div>An extensive electronic search was conducted across five databases from their inception to April 2024, complemented by a manual search. There were no restrictions regarding language or publication year.</div></div><div><h3>Study selection</h3><div>Out of 2,483 records identified, 87 studies were included for analysis. The first application of QDs in dentistry was to use their bioimaging capabilities, which is their most well-known functionalities in the biomedical area. In the last 5 years, the number of studies has increased (<em>n</em> = 52), while the study areas have gradually broadened, demonstrating its unique form of application in dentistry. Included studies span seven key areas: bioimaging (<em>n</em> = 21), antibacterial effect (<em>n</em> = 20), tooth restoration (<em>n</em> = 15), oral cancer therapy (<em>n</em> = 12), tissue engineering (<em>n</em> = 10), biosensing (<em>n</em> = 6), and anti-inflammation (<em>n</em> = 3). Amongst the included studies, carbon-based QDs received the greatest attention (<em>n</em> = 54), owing to their excellent biocompatibility and readily functionalizable surface.</div></div><div><h3>Conclusions/Clinical significance</h3><div>This review emphasizes the great potential of QDs in enhancing the quality and efficiency of dental clinical diagnosis and treatment. They not only show the possibility of applications beyond the traditional function, but also provide a completely new concept for improving oral disease diagnosis and treatment technology. However, successful clinical translation requires ongoing research and optimization, which is a critical process.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105536"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142881824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2025.105608
Andrija Nedeljkovic, Marko Milosavljevic, Kristina Mladenovic, Vladimir Janjic, Martin Schimmel, Rasa Mladenovic
Objective: Since passive fixed space maintainers do not restore the lost tooth or provide chewing function, this study seeks to assess the effectiveness of an innovative approach for maintaining space following the premature extraction of first primary molars, utilizing functional space maintainers designed with CAD/CAM.
Methods: This randomized controlled trial included 28 patients into two groups, 15 in 3D Print and 13 in Milling. The inclusion criteria required extraction or loss of the first primary molar due to complications of caries, with a prolonged period until eruption of the successor. Space maintainers were fabricated using 3D printing metal (Co 69%, Cr 25%, W 9.5%, Mo 3.5%, Si 1%, Scheftner, Germany) and milling composite (breCAM.HIPC, Bredent, Germany). This study evaluated the efficiency of space maintainers through clinical check-ups at one, three, and six months, maximum occlusal bite force, and masticatory performance assessments.
Results: A positive clinical trend was noted over time, with the "type of space maintainer" factor (Milling vs. 3D Print) influencing the degree of clinical assessment (p < 0.001). There were no significant differences in maximum occlusal bite force between sides for both types of space maintainers (p = 0.270 for 3D Print and p = 0.765 for Milling). Significant improvements were observed in masticatory performance after the placement of both types of space maintainers.
Conclusion: A six-month follow-up showed that 3D-printed metal outperformed milled composite ones, with no significant differences in bite force or masticatory performance, indicating that CAD/CAM technology could set new standards in producing functional space maintainers.
Clinical significance: This study underscores the potential of these technologies to set new standards in pediatric dentistry, particularly for maintaining space following premature tooth loss, while ensuring improved functional outcomes for young patients.
{"title":"Clinical Outcomes of Novel CAD/CAM-Designed Functional Space Maintainers Produced via Additive and Subtractive Methods: A randomized controlled trial.","authors":"Andrija Nedeljkovic, Marko Milosavljevic, Kristina Mladenovic, Vladimir Janjic, Martin Schimmel, Rasa Mladenovic","doi":"10.1016/j.jdent.2025.105608","DOIUrl":"https://doi.org/10.1016/j.jdent.2025.105608","url":null,"abstract":"<p><strong>Objective: </strong>Since passive fixed space maintainers do not restore the lost tooth or provide chewing function, this study seeks to assess the effectiveness of an innovative approach for maintaining space following the premature extraction of first primary molars, utilizing functional space maintainers designed with CAD/CAM.</p><p><strong>Methods: </strong>This randomized controlled trial included 28 patients into two groups, 15 in 3D Print and 13 in Milling. The inclusion criteria required extraction or loss of the first primary molar due to complications of caries, with a prolonged period until eruption of the successor. Space maintainers were fabricated using 3D printing metal (Co 69%, Cr 25%, W 9.5%, Mo 3.5%, Si 1%, Scheftner, Germany) and milling composite (breCAM.HIPC, Bredent, Germany). This study evaluated the efficiency of space maintainers through clinical check-ups at one, three, and six months, maximum occlusal bite force, and masticatory performance assessments.</p><p><strong>Results: </strong>A positive clinical trend was noted over time, with the \"type of space maintainer\" factor (Milling vs. 3D Print) influencing the degree of clinical assessment (p < 0.001). There were no significant differences in maximum occlusal bite force between sides for both types of space maintainers (p = 0.270 for 3D Print and p = 0.765 for Milling). Significant improvements were observed in masticatory performance after the placement of both types of space maintainers.</p><p><strong>Conclusion: </strong>A six-month follow-up showed that 3D-printed metal outperformed milled composite ones, with no significant differences in bite force or masticatory performance, indicating that CAD/CAM technology could set new standards in producing functional space maintainers.</p><p><strong>Clinical significance: </strong>This study underscores the potential of these technologies to set new standards in pediatric dentistry, particularly for maintaining space following premature tooth loss, while ensuring improved functional outcomes for young patients.</p>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":" ","pages":"105608"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.jdent.2024.105443
Zhaokun Zhu , Zhen Liu , Liwei Huang, Hanghang Liu, Yao Liu, En Luo
Objective
This study developed and evaluated a computer-based method for automating the registration of scanned dental models with 3D reconstructed skulls and segmentation of the temporomandibular joint (TMJ).
Methods
A dataset comprising 1274 skull models and corresponding scanned dental models was collected. In total, 1066 cases were used for the development of the computer-based method, while 208 cases were used for validation. Performance was evaluated by comparing the automated results with manual registration and segmentation performed by clinicians, using accuracy and completeness metrics (e.g. intersection of union [IoU] and Dice similarity coefficient [DSC]).
Results
The automated registration achieved a mean absolute error of 0.35 mm for the maxilla and 0.38 mm for the mandible, and a root mean squared error of 0.46 mm and 0.39 mm, respectively. The automatic TMJ segmentation exhibited an accuracy of 97.48 %, a precision of 97.06 %, a IoU of 95.72 %, DSC of 97.3 %, and a Hausdorff value of 1.87 mm, which were sufficient for clinical application.
Conclusion
The proposed method significantly improved the efficiency of orthognathic surgical planning by automating the registration and segmentation processes. The accuracy and precision of the automated results were sufficient for clinical use, reducing the workload on clinicians and facilitating faster and more reliable surgical planning.
Clinical significance
The computer-based method streamlines orthognathic surgical planning, enhancing precision and efficiency without compromising clinical accuracy, ultimately improving patient outcomes and reducing the workload of surgeons.
{"title":"Automated dental registration and TMJ segmentation for virtual surgical planning of orthognathic surgery via three-step computer-based method","authors":"Zhaokun Zhu , Zhen Liu , Liwei Huang, Hanghang Liu, Yao Liu, En Luo","doi":"10.1016/j.jdent.2024.105443","DOIUrl":"10.1016/j.jdent.2024.105443","url":null,"abstract":"<div><h3>Objective</h3><div>This study developed and evaluated a computer-based method for automating the registration of scanned dental models with 3D reconstructed skulls and segmentation of the temporomandibular joint (TMJ).</div></div><div><h3>Methods</h3><div>A dataset comprising 1274 skull models and corresponding scanned dental models was collected. In total, 1066 cases were used for the development of the computer-based method, while 208 cases were used for validation. Performance was evaluated by comparing the automated results with manual registration and segmentation performed by clinicians, using accuracy and completeness metrics (e.g. intersection of union [IoU] and Dice similarity coefficient [DSC]).</div></div><div><h3>Results</h3><div>The automated registration achieved a mean absolute error of 0.35 mm for the maxilla and 0.38 mm for the mandible, and a root mean squared error of 0.46 mm and 0.39 mm, respectively. The automatic TMJ segmentation exhibited an accuracy of 97.48 %, a precision of 97.06 %, a IoU of 95.72 %, DSC of 97.3 %, and a Hausdorff value of 1.87 mm, which were sufficient for clinical application.</div></div><div><h3>Conclusion</h3><div>The proposed method significantly improved the efficiency of orthognathic surgical planning by automating the registration and segmentation processes. The accuracy and precision of the automated results were sufficient for clinical use, reducing the workload on clinicians and facilitating faster and more reliable surgical planning.</div></div><div><h3>Clinical significance</h3><div>The computer-based method streamlines orthognathic surgical planning, enhancing precision and efficiency without compromising clinical accuracy, ultimately improving patient outcomes and reducing the workload of surgeons.</div></div>","PeriodicalId":15585,"journal":{"name":"Journal of dentistry","volume":"153 ","pages":"Article 105443"},"PeriodicalIF":4.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142621817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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