Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry最新文献_第7页

Automated reconstruction of missing tooth morphology using a transformer-based implicit neural network: A multi-tooth position evaluation 使用基于变压器的隐式神经网络的缺失牙齿形态自动重建：多牙齿位置评估。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-19 DOI: 10.1111/jopr.70084

Yiqing Wang BDS, Yuze Shi BEng, Nan Li PhD, Wei-Shao Lin DDS, PhD, MBA, Jianguo Tan DDS, PhD, Li Chen DDS, PhD

Purpose

This study aimed to develop a novel transformer-based model for automated tooth morphology reconstruction and evaluate its accuracy and generalizability across multiple tooth positions.

Materials and Methods

Digital full-arch casts with intact target and adjacent teeth were collected, comprising 500 first molars, 600 first premolars, and 700 central incisors after data augmentation. A transformer-based implicit neural network (INN) model was developed by incorporating a self-structure enhancement module and multi-view 2D depth maps. The model was trained with either 12,000 or 50,000 sampling points. Performance was assessed using chamfer distance (CD), F-score, and volumetric intersection over union (IoU). Reconstructed generated crowns (GC) were compared with original crowns (OC) and technician-designed crowns (TC) in terms of 3D morphological deviations, measured by the root mean square (RMS, mm), and dimensional differences. Statistical analysis was performed using a linear mixed-effects model, repeated measures ANOVA or nonparametric tests (α = 0.05).

Results

The model trained with 50,000 sampling points exhibited superior reconstruction performance, with high similarity to natural tooth morphology. Central incisors showed the best accuracy (CD = 0.0028 × 10⁻², F-score = 0.9670, and IoU = 0.9716). In molars, GC presented comparable surface deviations to TC, with no significant difference. For premolars, GC exhibited higher deviations compared to TC (0.2255 ± 0.0285 mm vs. 0.1557 ± 0.0422 mm, p = 0.002). Similarly, in the incisor, GC exhibited higher deviations compared to TC (0.2155 ± 0.0272 mm vs. 0.1643 ± 0.0295 mm, p = 0.014). In dimensional analysis, GC achieved a close match to OC across all tooth types (p > 0.05). At the same time, TC showed significantly greater mesiodistal width in molars and inciso-gingival height in incisors.

Conclusions

The proposed transformer-based model effectively achieved automated reconstruction of missing single-tooth morphology with acceptable accuracy and adaptability across different tooth positions. Its high fidelity and dimensional consistency highlight its potential for improving efficiency in digital dental restoration workflows. Further studies are warranted to expand dataset diversity, refine the model architecture, and incorporate clinical and functional validations.

目的：本研究旨在建立一种新的基于变压器的牙齿形态自动重建模型，并评估其在多个牙齿位置上的准确性和泛化性。材料和方法：收集完整的目标牙和邻牙数字全弓铸型，包括500颗第一磨牙、600颗第一前磨牙和700颗中切牙。结合自结构增强模块和多视图二维深度图，建立了基于变压器的隐式神经网络（INN）模型。该模型用12,000或50,000个采样点进行训练。使用倒角距离（CD）、F-score和体积交叉愈合（IoU）来评估性能。重建生成的冠（GC）与原始冠（OC）和技术人员设计的冠（TC）在三维形态偏差(均方根（RMS, mm）和尺寸差异方面进行了比较。统计学分析采用线性混合效应模型、重复测量方差分析或非参数检验（α = 0.05）。结果：5万个采样点训练后的模型具有较好的重建性能，与自然牙形态具有较高的相似性。中切牙的准确率最高（CD = 0.0028 × 10-2, F-score = 0.9670, IoU = 0.9716）。在磨牙上，GC与TC的表面偏差相当，无显著差异。对于前磨牙，GC与TC的偏差较大（0.2255±0.0285 mm vs. 0.1557±0.0422 mm, p = 0.002）。同样，在切牙中，GC比TC表现出更高的偏差（0.2155±0.0272 mm比0.1643±0.0295 mm, p = 0.014）。在量纲分析中，GC与OC在所有牙型中均接近匹配（p > 0.05）。与此同时，TC在磨牙的中远端宽度和门牙的切龈高度上均有显著性差异。结论：基于变压器的模型有效地实现了缺失单牙形态的自动重建，在不同牙位上具有可接受的精度和适应性。它的高保真度和尺寸一致性突出了它在提高数字牙科修复工作流程效率方面的潜力。进一步的研究需要扩大数据集的多样性，完善模型架构，并纳入临床和功能验证。

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引用次数: 0

3D evaluation of fit accuracy of different ceramic inlays using two digital measurement methods. 采用两种数字测量方法对不同陶瓷镶嵌体的配合精度进行三维评价。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70079

Sining Huang, Haixia Li, Jing Liang, Wenjie Cheng, Linglu Zhan, Qiong Li

Purpose: Adaptation of inlays is crucial for clinical success. While various methods are currently available for measuring the marginal and internal fit of restorations, studies evaluating novel measurement techniques are scarce. This in vitro study aimed to evaluate two new digital methods and compare the marginal and internal fit of computer-aided design and computer-aided manufacturing (CAD-CAM) inlays fabricated with three different materials by using the two methods.

Materials and methods: A standardized inlay preparation was performed on a typodont right first molar and optically scanned. Three different material groups of inlays (n = 15) were designed and fabricated based on the scanned preparations: (a) LD: lithium disilicate ceramic, (b) ZLS: zirconia reinforced lithium silicate ceramic, (c) RNC: resin nano-ceramic. Digital silicone replica technique (DSRT) and triple-scan technique (TST) were both used to measure the marginal gap (MG) at 250 ± points and the internal gap (IG) at 1300 ± points. Repeated measurement ANOVA was used to assess gap differences related to the materials. The reliability of measurement methods was tested by the coefficient of variation (CV), while paired t-tests and the Bland-Altman diagram were used to compare the differences in marginal fit values (α = 0.05).

Results: The CV showed that the DSRT method had better repeatability. The MG and IG values measured by the DSRT were smaller than all samples. The RNC group demonstrated a significantly lower mean MG (27.46 ± 2.33 µm and 46.27 ± 5.65 µm, p < 0.05) than the other two groups with both methods. However, no statistically significant inter-group differences were found in IG.

Conclusion: Both DSRT and TST are reliable for assessing the marginal and internal gap of inlays. TST is a new method for assessing the marginal and internal gap. As a reliable method widely used in marginal fit measurement, the reliability and stability of DSRT is better than TST, although their results are consistent. The marginal fit of CAD-CAM inlays is influenced by the restorative materials, with RNC providing the best marginal fit.

目的：嵌体的适应性是临床成功的关键。虽然目前有多种方法可以测量修复体的边缘拟合和内部拟合，但评估新测量技术的研究很少。本体外研究旨在评估两种新的数字方法，并比较使用三种不同材料制作的计算机辅助设计和计算机辅助制造（CAD-CAM）镶嵌体的边缘和内部配合。材料和方法：在右第一磨牙上进行标准化嵌体制备并进行光学扫描。在扫描制备的基础上，设计并制备了3组不同嵌体材料（n = 15）：(a) LD：二硅酸锂陶瓷，(b) ZLS：氧化锆增强硅酸锂陶瓷，(c) RNC：树脂纳米陶瓷。采用数字硅胶复制技术（DSRT）和三扫描技术（TST）分别测量250±点的边缘间隙（MG）和1300±点的内部间隙（IG）。使用重复测量方差分析来评估与材料相关的差距差异。采用变异系数（CV）检验测量方法的信度，采用配对t检验和Bland-Altman图比较边际拟合值的差异（α = 0.05）。结果：CV表明DSRT法具有较好的重复性。DSRT测量的MG和IG值均小于RNC组的IG值。RNC组的平均MG值（27.47±2.54µm和46.43±5.79µm, p < 0.05）均低于其他两组。IG组间差异无统计学意义。结论：DSRT和TST是评估嵌体边缘和内部间隙的可靠方法。TST是一种评估边缘和内部间隙的新方法。作为一种广泛应用于边际拟合测量的可靠方法，DSRT的可靠性和稳定性优于TST，尽管两者的结果一致。CAD-CAM嵌体的边缘配合受修复材料的影响，RNC提供了最佳的边缘配合。

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引用次数: 0

Expanded die technique: A novel approach to fabricate zirconia restorations 扩展模技术：一种制造氧化锆修复体的新方法。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70077

Erick A. Eklin MA, DMD, Dong (Tony) S. Lee DMD, FACP, Sloan D. McLaughlin DMD, FACP, Steven E. Handel DMD, FAGD, FAAMP, FACP, Jennifer V. Sabol DDS, FACP

The purpose of this article is to describe a technique to assess fit and modify zirconia in its pre-sintered state, resulting in an ideally contoured restoration. A zirconia crown and an associated die were digitally designed. A secondary die was formed by using the exact shrinkage factor of the milled zirconia crown to uniformly expand the die to evaluate the pre-sintered zirconia. The pre-sintered zirconia crown was placed on the expanded die to confirm marginal fit and adjust the safety zone. The crown was sintered and placed on the unaltered die to confirm accuracy of adjustments. This article describes a reproducible technique that aims to idealize marginal contours in zirconia restorations in the pre-sintered state and reduce post-sintered adjustments.

本文的目的是描述一种技术，以评估适合和修改氧化锆在其预烧结状态，导致理想的轮廓恢复。一个氧化锆王冠和一个相关的模具是数字化设计的。利用精确的氧化锆冠收缩系数形成二次模具，均匀展开模具，评价预烧结氧化锆。将预烧结的氧化锆冠置于膨胀模上，确认边缘配合，调整安全区域。皇冠是烧结和放置在不变的模具，以确认调整的准确性。本文描述了一种可重复的技术，旨在理想化氧化锆在预烧结状态下的边缘轮廓，并减少烧结后的调整。

引用次数: 0

Response to the letter to the editor: “Beyond readability scores: Reconsidering the evaluation of large language models in prosthodontic patient education” 回复给编辑的信：“超越可读性分数：重新考虑修复病人教育中大型语言模型的评估”。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70075

Soni Prasad BDS, MS, MBA, Merve Koseoglu DDS, Ph.D, Stavroula Antonopoulou DDS, MS, Heidi Marie Huber DMD, MS, Atousa Azarbal DMD, MDS, Sri Kurniawan PhD, Cortino Sukotjo DDS, PhD, MMSc, MHPE

引用次数: 0

A deep learning system on monolithic implant-supported crown design: Evaluating AI-generated models against conventional software outputs. 单片种植体支持冠设计的深度学习系统：评估人工智能生成的模型与传统软件输出。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70067

Shuxin Ren, Tao Wu, Dong Zhou, Xi Jiang, Ping Di

Purpose: To investigate the effectiveness of a novel transformer-based deep learning model for generating monolithic implant-supported crowns (ISCs), comparing its performance to traditional software-generated crowns.

Materials and methods: A total of 311 patients who received single implant placements in the posterior first molar area were included. Digital impressions as well as technician-designed crowns were imported into the AI model. The PoinTr architecture-based AI model was trained on 291 cases and validated using 20 additional cases. Four groups of ISC designs were evaluated: Group 1, Software1-generated crowns; Group 2, Software 2-generated crowns; Group 3, AI-generated crowns; and Group 4, technician-designed crowns. Accuracy was evaluated through overall contour deviation, occlusal morphology, proximal contact, and emergence profile.

Results: Relative to the reference (Group 4), AI-generated crowns (Group 3) demonstrated significantly lower overall contour deviation (438.6 ± 169.4 µm) compared with both software-generated crowns (Groups 1-2: 679.5-705.1 µm, p < 0.01). Occlusal discrepancies were smaller and contact distributions more comparable to technician-designed crowns in the AI group, while software-generated crowns showed higher frequencies of premature contacts. For emergence profile, AI crowns predominantly reproduced concave contours and angles approximating technician-designed crowns, whereas software groups often produced convex forms. Across all automated groups (1-3), proximal contact adaptation remained less accurate than in technician-designed crowns.

Conclusions: Within the limitations of this proof-of-concept study, AI-generated implant-supported crowns achieved closer approximation to technician designs than software-generated crowns, particularly in contour, occlusal morphology, and emergence profile.

目的：研究一种新的基于变压器的深度学习模型用于生成整体种植支撑冠（ISCs）的有效性，并将其性能与传统的软件生成冠进行比较。材料与方法：311例在后第一磨牙区单种植的患者。人工智能模型中导入了数字印象和技术人员设计的冠。基于PoinTr架构的AI模型在291个案例中进行了训练，并使用另外20个案例进行了验证。评估四组ISC设计：第一组，软件生成冠；第2组，软件2生成冠；第3组，人工智能生成冠；第四组，技师设计的冠。通过总体轮廓偏差、咬合形态、近端接触和出现轮廓来评估准确性。结果：与参考文献（第4组）相比，人工智能生成的冠（第3组）的总体轮廓偏差（438.6±169.4µm）明显低于两种软件生成的冠（第1-2组：679.5-705.1µm, p < 0.01）。人工智能组的咬合差异较小，接触分布与技术人员设计的冠更相似，而软件生成的冠显示出更高的过早接触频率。对于突现轮廓，人工智能冠主要再现凹轮廓和角度，接近技术人员设计的冠，而软件组通常产生凸形式。在所有自动化组（1-3）中，近端接触适应仍然不如技术人员设计的冠准确。结论：在这项概念验证研究的局限性内，人工智能生成的种植体支撑冠比软件生成的冠更接近技术人员的设计，特别是在轮廓、咬合形态和出现轮廓方面。

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引用次数: 0

Leveraging large language models for patient instructions in dentistry-A systematic review and meta-analysis. 利用大型语言模型对牙科患者进行指导——一项系统回顾和荟萃分析。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70068

Rui Zhang, Yu Pan, Yushu Liu, Yinlong Deng, Edmond Ho Nang Pow

Purpose: This systematic review evaluated the application of ChatGPT and other large language models in answering dental patient inquiries and explored their accuracy.

Methods: Following PRISMA guidelines, seven databases, including PubMed, Scopus, and Cochrane, were searched for studies published between November 2022 and June 2024. The review focused on publications addressing large language models' performance in responding to patients' questions, with studies evaluated for quality using the modified QUADAS-2 framework. Data on accuracy were extracted, and a meta-analysis was conducted. Subgroup and sensitivity analyses were performed to explore variations in performance and ensure robustness.

Results: A total of 25 studies were included, evaluating ChatGPT and other large language models. The pooled accuracy score for all large language models included was 81.87% (95% CI: 77.24%-86.51%), and 69.9% (95% CI: 57.3%-82.6%) of responses were considered clinically acceptable. Subgroup analysis revealed that the accuracy score of responses from ChatGPT-3.5 was significantly higher than Microsoft Bing but not different from ChatGPT-4.0 and Google Bard.

Conclusion: ChatGPT and other LLMs are promising alternatives for addressing patient inquiries and providing oral health education. However, challenges remain regarding accuracy, variability, and their ability to handle complex clinical scenarios, and further research is needed.

目的：本系统评价ChatGPT和其他大型语言模型在回答牙科患者问询中的应用，并探讨其准确性。方法：按照PRISMA指南，检索了PubMed、Scopus和Cochrane等7个数据库，检索了2022年11月至2024年6月间发表的研究。本综述重点关注大型语言模型在回答患者问题方面的表现，并使用改进的QUADAS-2框架评估研究的质量。提取准确性数据，并进行meta分析。进行亚组和敏感性分析，以探索性能的变化并确保稳健性。结果：共纳入25项研究，对ChatGPT等大型语言模型进行了评价。纳入的所有大型语言模型的汇总准确率评分为81.87% (95% CI: 77.24%-86.51%), 69.9% （95% CI: 57.3%-82.6%）的反应被认为是临床可接受的。亚组分析显示，ChatGPT-3.5回答的准确性得分显著高于微软必应，但与ChatGPT-4.0和b谷歌Bard没有差异。结论：ChatGPT和其他llm是解决患者咨询和提供口腔健康教育的有希望的替代方案。然而，在准确性、可变性和处理复杂临床情况的能力方面仍然存在挑战，需要进一步的研究。

{"title":"Leveraging large language models for patient instructions in dentistry-A systematic review and meta-analysis.","authors":"Rui Zhang, Yu Pan, Yushu Liu, Yinlong Deng, Edmond Ho Nang Pow","doi":"10.1111/jopr.70068","DOIUrl":"https://doi.org/10.1111/jopr.70068","url":null,"abstract":"Purpose: This systematic review evaluated the application of ChatGPT and other large language models in answering dental patient inquiries and explored their accuracy.Methods: Following PRISMA guidelines, seven databases, including PubMed, Scopus, and Cochrane, were searched for studies published between November 2022 and June 2024. The review focused on publications addressing large language models' performance in responding to patients' questions, with studies evaluated for quality using the modified QUADAS-2 framework. Data on accuracy were extracted, and a meta-analysis was conducted. Subgroup and sensitivity analyses were performed to explore variations in performance and ensure robustness.Results: A total of 25 studies were included, evaluating ChatGPT and other large language models. The pooled accuracy score for all large language models included was 81.87% (95% CI: 77.24%-86.51%), and 69.9% (95% CI: 57.3%-82.6%) of responses were considered clinically acceptable. Subgroup analysis revealed that the accuracy score of responses from ChatGPT-3.5 was significantly higher than Microsoft Bing but not different from ChatGPT-4.0 and Google Bard.Conclusion: ChatGPT and other LLMs are promising alternatives for addressing patient inquiries and providing oral health education. However, challenges remain regarding accuracy, variability, and their ability to handle complex clinical scenarios, and further research is needed.","PeriodicalId":49152,"journal":{"name":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145716520","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}

引用次数: 0

The factors affecting the accuracy of autonomous dental implant robotic system-assisted implant surgery: A retrospective study. 影响自主种植机器人系统辅助种植手术准确性的因素：回顾性研究。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70076

Qinmeng Zhang, Ling Hu, Rui Pu, Yue Xi, Danji Zhu, Guoli Yang, Zhiwei Jiang

Purpose: To investigate the relevant factors affecting the accuracy of the autonomous dental implant robotic system (ADIR)-assisted implant surgery, providing the foundation for the clinical application of ADIR.

Materials and methods: This retrospective study involved 85 patients with 138 implants who underwent ADIR-assisted implant surgery between March 2022 and May 2024. Drilling plans and virtual preoperative implant placement were designed preoperatively. Cone-beam computed tomography (CBCT) was used immediately after surgery to assess the linear and angular deviations in two-dimensional (2D) and three-dimensional (3D) space between planned and actual implants. Generalized estimation equations (GEE) were applied to analyze the relevant factors affecting the accuracy of ADIR-assisted implant surgery.

Results: The GEE showed a significant correlation between relevant factors (implant position and length) and the linear deviations at both the 2D platform and apex in ADIR-assisted implant surgery (p < 0.05). The platform and apex are more deviated linearly in the anterior region than in the posterior region. Compared to 8 mm implants, 12 and 16 mm implants exhibited larger linear deviation. Sex and age were relevant factors influencing implant 3D positional deviation. Females and patients over 40 years of age showed increased 3D linear deviation of the platform (p < 0.05), but there was no statistical difference in angular deviation. Implant shape, diameter, bone classification, side of arch, guided bone regeneration (GBR), and flap procedure had statistically nonsignificant effects on ADIR-assisted implant surgical accuracy.

Conclusions: The relevant factors (implant length, implant position, age, and sex of the patient) may affect the accuracy of ADIR-assisted implant surgery. This study is of clinical interest and helps surgeons make clinical decisions to improve the precision of implant surgery.

目的：探讨影响自主种植机器人系统（autonomous dental implant robotic system， ADIR）辅助种植手术准确性的相关因素，为ADIR的临床应用提供基础。材料和方法：本回顾性研究包括85例患者138个种植体，这些患者在2022年3月至2024年5月期间接受了adir辅助种植体手术。术前设计钻孔计划和虚拟术前种植体放置。手术后立即使用锥束计算机断层扫描（CBCT）评估计划种植体和实际种植体之间二维（2D）和三维（3D）空间的线性和角度偏差。应用广义估计方程（Generalized estimation equation， GEE）分析影响adir辅助种植体手术精度的相关因素。结果：adir辅助种植术中相关因素（种植体位置和长度）与2D平台和尖端的线性偏差具有显著相关性（p < 0.05）。平台和尖端在前区比在后区更线性地偏离。与8mm种植体相比，12mm和16mm种植体表现出更大的线性偏差。性别和年龄是影响种植体三维定位偏差的相关因素。女性与40岁以上患者平台三维线性偏差增加（p < 0.05），但角度偏差无统计学差异。种植体形状、直径、骨分类、弓侧、引导骨再生（GBR）和皮瓣手术对adir辅助种植体手术准确性的影响无统计学意义。结论：相关因素（种植体长度、种植体位置、患者年龄、性别）可能影响adir辅助种植手术的准确性。本研究具有临床意义，有助于外科医生做出临床决策，以提高种植体手术的精度。

{"title":"The factors affecting the accuracy of autonomous dental implant robotic system-assisted implant surgery: A retrospective study.","authors":"Qinmeng Zhang, Ling Hu, Rui Pu, Yue Xi, Danji Zhu, Guoli Yang, Zhiwei Jiang","doi":"10.1111/jopr.70076","DOIUrl":"https://doi.org/10.1111/jopr.70076","url":null,"abstract":"Purpose: To investigate the relevant factors affecting the accuracy of the autonomous dental implant robotic system (ADIR)-assisted implant surgery, providing the foundation for the clinical application of ADIR.Materials and methods: This retrospective study involved 85 patients with 138 implants who underwent ADIR-assisted implant surgery between March 2022 and May 2024. Drilling plans and virtual preoperative implant placement were designed preoperatively. Cone-beam computed tomography (CBCT) was used immediately after surgery to assess the linear and angular deviations in two-dimensional (2D) and three-dimensional (3D) space between planned and actual implants. Generalized estimation equations (GEE) were applied to analyze the relevant factors affecting the accuracy of ADIR-assisted implant surgery.Results: The GEE showed a significant correlation between relevant factors (implant position and length) and the linear deviations at both the 2D platform and apex in ADIR-assisted implant surgery (p < 0.05). The platform and apex are more deviated linearly in the anterior region than in the posterior region. Compared to 8 mm implants, 12 and 16 mm implants exhibited larger linear deviation. Sex and age were relevant factors influencing implant 3D positional deviation. Females and patients over 40 years of age showed increased 3D linear deviation of the platform (p < 0.05), but there was no statistical difference in angular deviation. Implant shape, diameter, bone classification, side of arch, guided bone regeneration (GBR), and flap procedure had statistically nonsignificant effects on ADIR-assisted implant surgical accuracy.Conclusions: The relevant factors (implant length, implant position, age, and sex of the patient) may affect the accuracy of ADIR-assisted implant surgery. This study is of clinical interest and helps surgeons make clinical decisions to improve the precision of implant surgery.","PeriodicalId":49152,"journal":{"name":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145716562","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}

引用次数: 0

Internal fit and fracture resistance of different CAD-CAM surveyed ceramic crowns: In vitro comparative analysis. 不同CAD-CAM测量陶瓷冠的内配合度和抗折断性：体外比较分析。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70066

Faris A Alshahrani, Haidar Alalawi, Ahmad M Al-Thobity, Abdulmohsen S Ibn Shamsah, Moath I Almusallam, Amal Alfaraj, Fawaz Alzoubi, Hamad S AlRumaih, Mohammed M Gad, Nadim Z Baba

Purpose: The success of removable partial dentures (RPDs) depends on well-designed abutments or surveyed crowns. Advances in computer-aided design and computer-aided manufacturing (CAD-CAM) technology have made all-ceramic materials viable alternatives to traditional ceramo-metal surveyed crowns, but their performance, particularly regarding internal fit and fracture resistance, requires further studies, especially with different rest seat preparations simulated on the abutment dies. This study evaluated the internal fit and fracture resistance of CAD-CAM ceramic crowns with wide and narrow rest seat designs to assess their potential as surveyed crowns for RPDs.

Materials and methods: Sixty mandibular premolar abutment dies were modified to simulate narrow and wide occlusal relief designs and were divided into six groups based on the design (wide/narrow) and material type: force-absorbed hybrid ceramics (HC), zirconium lithium silicate (ZLS), and lithium disilicate glass-ceramic (LDC). CAD-CAM ceramic crowns were fabricated, milled, and analyzed for internal fit using Geomagic Control X software. Fracture resistance in newton (N) was tested using a universal testing machine. Scanning electron microscopy (SEM) was employed to examine fracture morphology. Statistical analyses included two-way analysis of variance (ANOVA) and post hoc Tukey's test (α = 0.05).

Results: The LDC group had the highest fracture resistance, while ZLS and HC showed no significant difference [F(2) = 10.523, p < 0.001]. Internal fit did not significantly differ between materials [F(2) = 0.381, p = 0.686], though LDC had a slightly larger internal gap. Rest seat design significantly affected both fracture resistance and internal fit [F(1) = 68.581, p < 0.001; F(1) = 11.185, p = 0.002], with wide designs showing higher fracture resistance and narrow designs having larger internal gaps. SEM revealed crack propagation originating from rest seat bases, with longer crack lines observed in wide rest designs.

Conclusion: Rest seat design significantly influences the fracture resistance and internal fit of CAD-CAM ceramic crowns. Wide rest seat designs provide superior fracture resistance compared to narrow designs, while narrow seats exhibit larger internal gaps, potentially compromising restoration longevity.

目的：可摘局部义齿的成功与否取决于基台的设计或冠的测量。计算机辅助设计和计算机辅助制造（CAD-CAM）技术的进步使全陶瓷材料成为传统陶瓷金属测量冠的可行替代品，但其性能，特别是在内部配合和抗断裂方面，需要进一步研究，特别是在基台模具上模拟不同的休息座制备。本研究评估了宽座和窄座设计的CAD-CAM陶瓷冠的内部配合和抗断裂性，以评估其作为rpd调查冠的潜力。材料与方法：对60个下颌前磨牙基模进行改良，模拟窄/宽咬合凸度设计，并根据设计（宽/窄）和材料类型分为力吸收混合陶瓷（HC）、硅酸锂锆（ZLS）和二硅酸锂玻璃陶瓷（LDC） 6组。使用Geomagic Control X软件制造、铣削和分析CAD-CAM陶瓷冠的内部配合。采用万能试验机测试牛顿(N)的抗断裂性能。采用扫描电镜（SEM）观察断口形貌。统计分析采用双因素方差分析（ANOVA）和事后Tukey检验（α = 0.05）。结果：LDC组抗骨折性最高，ZLS组与HC组无显著性差异[F(2) = 10.523, p < 0.001]。材料间的内部拟合无显著差异[F(2) = 0.381, p = 0.686]，但LDC的内部间隙略大。休息座设计对抗断裂性和内配合均有显著影响[F(1) = 68.581, p < 0.001；F(1) = 11.185, p = 0.002]，宽的设计具有更高的抗断裂性，窄的设计具有更大的内部间隙。扫描电镜显示，裂纹扩展起源于休息座底部，在宽休息设计中观察到更长的裂纹线。结论：休息座设计对CAD-CAM陶瓷冠的抗断裂性和内配合有显著影响。与窄阀座设计相比，宽阀座设计具有更好的抗断裂性能，而窄阀座具有更大的内部间隙，可能会影响修复的使用寿命。

{"title":"Internal fit and fracture resistance of different CAD-CAM surveyed ceramic crowns: In vitro comparative analysis.","authors":"Faris A Alshahrani, Haidar Alalawi, Ahmad M Al-Thobity, Abdulmohsen S Ibn Shamsah, Moath I Almusallam, Amal Alfaraj, Fawaz Alzoubi, Hamad S AlRumaih, Mohammed M Gad, Nadim Z Baba","doi":"10.1111/jopr.70066","DOIUrl":"https://doi.org/10.1111/jopr.70066","url":null,"abstract":"Purpose: The success of removable partial dentures (RPDs) depends on well-designed abutments or surveyed crowns. Advances in computer-aided design and computer-aided manufacturing (CAD-CAM) technology have made all-ceramic materials viable alternatives to traditional ceramo-metal surveyed crowns, but their performance, particularly regarding internal fit and fracture resistance, requires further studies, especially with different rest seat preparations simulated on the abutment dies. This study evaluated the internal fit and fracture resistance of CAD-CAM ceramic crowns with wide and narrow rest seat designs to assess their potential as surveyed crowns for RPDs.Materials and methods: Sixty mandibular premolar abutment dies were modified to simulate narrow and wide occlusal relief designs and were divided into six groups based on the design (wide/narrow) and material type: force-absorbed hybrid ceramics (HC), zirconium lithium silicate (ZLS), and lithium disilicate glass-ceramic (LDC). CAD-CAM ceramic crowns were fabricated, milled, and analyzed for internal fit using Geomagic Control X software. Fracture resistance in newton (N) was tested using a universal testing machine. Scanning electron microscopy (SEM) was employed to examine fracture morphology. Statistical analyses included two-way analysis of variance (ANOVA) and post hoc Tukey's test (α = 0.05).Results: The LDC group had the highest fracture resistance, while ZLS and HC showed no significant difference [F(2) = 10.523, p < 0.001]. Internal fit did not significantly differ between materials [F(2) = 0.381, p = 0.686], though LDC had a slightly larger internal gap. Rest seat design significantly affected both fracture resistance and internal fit [F(1) = 68.581, p < 0.001; F(1) = 11.185, p = 0.002], with wide designs showing higher fracture resistance and narrow designs having larger internal gaps. SEM revealed crack propagation originating from rest seat bases, with longer crack lines observed in wide rest designs.Conclusion: Rest seat design significantly influences the fracture resistance and internal fit of CAD-CAM ceramic crowns. Wide rest seat designs provide superior fracture resistance compared to narrow designs, while narrow seats exhibit larger internal gaps, potentially compromising restoration longevity.","PeriodicalId":49152,"journal":{"name":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145716416","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}

引用次数: 0

Beyond readability scores: Reconsidering the evaluation of large language models in prosthodontic patient education 超越可读性分数：重新考虑修复病人教育中大语言模型的评估。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-10 DOI: 10.1111/jopr.70072

Carlos M. Ardila PhD

引用次数: 0

The accuracy of static computer-aided implant surgery in four central incisor post-extraction morphologies: An in vitro study. 四种中切牙拔除后形态的静态计算机辅助种植手术的准确性：一项体外研究。

IF 3.4 2区医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE

Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry

Pub Date : 2025-12-09 DOI: 10.1111/jopr.70070

Dhafer Saleh Alqahtani, Vinicius Dutra, Waldemar D Polido, Wei-Shao Lin, Chao-Chieh Yang

Purpose: To evaluate the accuracy of guided surgery in a healed ridge and various maxillary anterior extraction sockets.

Materials and methods: Forty radiopaque urethane resin bone models simulating the maxillary right central incisor were fabricated and divided into four groups (n = 10 each). Group H (healed ridge), Group L (socket adjacent to labial cortex), Group C (centralized socket), and Group P (socket adjacent to palatal cortex). Models were scanned using a TRIOS 4 intraoral scanner, and CBCT scans were acquired. Implant planning was performed using software (Codiagnostix), and implants were placed with a fully guided static computer-aided implant surgery (s-CAIS) protocol. Deviations between planned and actual implant positions were measured in global, bucco-lingual, and mesio-distal deviations at the crest and apex.

Results: Group C showed the greatest global deviation at both the crest (0.83 ± 0.34 mm) and apex (0.98 ± 0.29 mm), whereas Group L showed the lowest global deviations at the crest (0.38 ± 0.17 mm) and apex (0.49 ± 0.26 mm). Angular deviation was highest in Group H (2.91° ± 1.37°) and lowest in Group C (1.87° ± 1.11°). Depth deviations were not statistically different. One-way ANOVA revealed socket morphology significantly influenced global, labial-palatal, and mesial-distal deviations at both crest and apex levels (p < 0.05), with Group L showing superior apical accuracy (p < 0.001).

Conclusions: Socket morphology significantly affects s-CAIS accuracy. Centralized sockets showed greater positional deviations, particularly at the crest. Socket morphology should be carefully considered during virtual treatment planning for immediate implant placement.

目的：评价上颌前拔牙槽槽愈合后引导手术的准确性。材料与方法：制作40个不透射线的聚氨酯树脂模拟上颌右中切牙骨模型，分为4组，每组10个。H组（愈合脊）、L组（唇皮层附近的窝）、C组（集中窝）、P组（腭皮层附近的窝）。使用TRIOS 4口内扫描仪对模型进行扫描，并获得CBCT扫描。使用软件（Codiagnostix）进行种植计划，并按照完全引导的静态计算机辅助种植手术（s-CAIS）方案放置种植体。计划和实际种植体位置之间的偏差测量了总体、颊-舌和中-远端嵴和尖的偏差。结果：C组在冠部（0.83±0.34 mm）和尖部（0.98±0.29 mm）的整体偏差最大，L组在冠部（0.38±0.17 mm）和尖部（0.49±0.26 mm）的整体偏差最小。角偏差H组最大（2.91°±1.37°），C组最小（1.87°±1.11°）。深度偏差无统计学差异。单因素方差分析显示，窝窝形态对嵴和尖水平的整体、唇腭和中远端偏差均有显著影响（p < 0.05），其中L组的根尖准确性更高（p < 0.001）。结论：窝窝形态对s-CAIS精度有显著影响。集中窝的位置偏差较大，尤其是在嵴处。在进行虚拟治疗计划时，应仔细考虑种植槽形态。

{"title":"The accuracy of static computer-aided implant surgery in four central incisor post-extraction morphologies: An in vitro study.","authors":"Dhafer Saleh Alqahtani, Vinicius Dutra, Waldemar D Polido, Wei-Shao Lin, Chao-Chieh Yang","doi":"10.1111/jopr.70070","DOIUrl":"https://doi.org/10.1111/jopr.70070","url":null,"abstract":"Purpose: To evaluate the accuracy of guided surgery in a healed ridge and various maxillary anterior extraction sockets.Materials and methods: Forty radiopaque urethane resin bone models simulating the maxillary right central incisor were fabricated and divided into four groups (n = 10 each). Group H (healed ridge), Group L (socket adjacent to labial cortex), Group C (centralized socket), and Group P (socket adjacent to palatal cortex). Models were scanned using a TRIOS 4 intraoral scanner, and CBCT scans were acquired. Implant planning was performed using software (Codiagnostix), and implants were placed with a fully guided static computer-aided implant surgery (s-CAIS) protocol. Deviations between planned and actual implant positions were measured in global, bucco-lingual, and mesio-distal deviations at the crest and apex.Results: Group C showed the greatest global deviation at both the crest (0.83 ± 0.34 mm) and apex (0.98 ± 0.29 mm), whereas Group L showed the lowest global deviations at the crest (0.38 ± 0.17 mm) and apex (0.49 ± 0.26 mm). Angular deviation was highest in Group H (2.91° ± 1.37°) and lowest in Group C (1.87° ± 1.11°). Depth deviations were not statistically different. One-way ANOVA revealed socket morphology significantly influenced global, labial-palatal, and mesial-distal deviations at both crest and apex levels (p < 0.05), with Group L showing superior apical accuracy (p < 0.001).Conclusions: Socket morphology significantly affects s-CAIS accuracy. Centralized sockets showed greater positional deviations, particularly at the crest. Socket morphology should be carefully considered during virtual treatment planning for immediate implant placement.","PeriodicalId":49152,"journal":{"name":"Journal of Prosthodontics-Implant Esthetic and Reconstructive Dentistry","volume":" ","pages":""},"PeriodicalIF":3.4,"publicationDate":"2025-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145710082","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}

引用次数: 0