Int J Stomatol ›› 2025, Vol. 52 ›› Issue (1): 11-17.doi: 10.7518/gjkq.2025023

• Digitization • Previous Articles     Next Articles

Research progress and trends on digital prosthetic technology for removable dentures

Aimin Cui(),Qi Wang()   

  1. State Key Laboratory of Oral Diseases & National Center for Stomatology & National Clinical Research Center for Oral Diseases & Dept. of Prosthodontics Ⅱ, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
  • Received:2024-03-06 Revised:2024-09-27 Online:2025-01-01 Published:2025-01-11
  • Contact: Qi Wang E-mail:cuiam99@163.com;wqinno8751@gmail.com
  • Supported by:
    National Natural Science Foundation of China(82470985);Natural Science Foundation of Sichuan Pro-vince(2024NSFSC0548)

Abstract:

The production of dentures using traditional methods is a complex process influenced by many factors. For example, the theoretical background, clinical experience, and operational skills of dental technicians and clinicians in-fluence the accuracy of denture design, the efficiency of production, and the stability of quality. With digital technology bringing innovation from theory to practice, the future trend in removable denture prosthetics is digitalization, which can produce high-quality restorations with good retention and stability and high patient satisfaction and shorten the time of a single visit and number of follow-up visits. By reviewing the literature on digital technology in the field of removable dentures, this work presents an overview of the trends and characteristics of applications of digital technology and the advancement of research in the design, production, and wearing of removable dentures.

Key words: removable prosthodontics, digital technology, prosthetics, intelligence

CLC Number: 

  • R783.2

TrendMD: 

Fig1

Flowchart for digital technology applications"

Fig2

Diagram of the digital communication model “patient-doctor-processor”"

1 Branco AC, Silva R, Santos T, et al. Suitability of 3D printed pieces of nanocrystalline zirconia for dental applications[J]. Dent Mater, 2020, 36(3): 442-455.
2 Wöstmann B, Budtz-Jørgensen E, Jepson N, et al. Indications for removable partial dentures: a literature review[J]. Int J Prosthodont, 2005, 18(2): 139-145.
3 Miyazaki T, Hotta Y, Kunii J, et al. A review of dental CAD/CAM: current status and future perspectives from 20 years of experience[J]. Dent Mater J, 2009, 28(1): 44-56.
4 Su TS, Sun J. Comparison of repeatability between intraoral digital scanner and extraoral digital scanner: an in-vitro study[J]. J Prosthodont Res, 2015, 59(4): 236-242.
5 苏庭舒, 孙健, 陈丽萍. 口内数字化印模扫描重复性的研究[J]. 口腔颌面修复学杂志, 2014, 15(5): 291-296.
Su TS, Sun J, Chen LP. Study of scanning repea-tability of intraoral digital impressions[J]. Chin J Prosthodont, 2014, 15(5): 291-296.
6 Flügge TV, Schlager S, Nelson K, et al. Precision of intraoral digital dental impressions with iTero and extraoral digitization with the iTero and a model scanner[J]. Am J Orthod Dentofacial Orthop, 2013, 144(3): 471-478.
7 Han J, Wang Y, Lü PJ. A preliminary report of designing removable partial denture frameworks using a specifically developed software package[J]. Int J Prosthodont, 2010, 23(4): 370-375.
8 Revilla-León M, Gómez-Polo M, Vyas S, et al. Artificial intelligence models for tooth-supported fixed and removable prosthodontics: a systematic review[J]. J Prosthet Dent, 2023, 129(2): 276-292.
9 Thurzo A, Urbanová W, Novák B, et al. Where is the artificial intelligence applied in dentistry? Systematic review and literature analysis[J]. Healthcare, 2022, 10(7): 1269.
10 Davenport JC, Hammond P, Hazlehurst P. Know-ledge-based systems, removable partial denture design and the development of RaPiD[J]. Dent Update, 1997, 24(6): 227-233.
11 Chen QX, Lin SJ, Wu J, et al. Automatic drawing of customized removable partial denture diagrams based on textual design for the clinical decision support system[J]. J Oral Sci, 2020, 62(2): 236-238.
12 Chen QX, Wu J, Li SS, et al. An ontology-driven, case-based clinical decision support model for remo-vable partial denture design[J]. Sci Rep, 2016, 6: 27855.
13 钱飞, 吴玉禄, 刁晓鸥, 等. 数字化可摘局部义齿支架模型的建立与结构强度的有限元分析[J]. 实用口腔医学杂志, 2022, 38(1): 97-101.
Qian F, Wu YL, Diao XO, et al. The structural strength analysis of the digital framework for removable partial denture using finite element method[J]. J Pract Stomatol, 2022, 38(1): 97-101.
14 吴琳. 可摘局部义齿支架计算机辅助设计与制作的初步研究[D]. 沈阳: 中国医科大学, 2006.
Wu L. Preliminary study on computer-aided design and manufacture of removable partial denture bra-cket[D]. Shenyang: China Medical University, 2006.
15 刘一帆, 王伟娜, 于海, 等. 选择性激光熔覆(SLM)钛合金可摘局部义齿支架的适合性研究[J]. 实用口腔医学杂志, 2017, 33(3): 302-305.
Liu YF, Wang WN, Yu H, et al. Study on the fit of titanium alloy removable partial denture framework fabricated by selective laser melting[J]. J Pract Stomatol, 2017, 33(3): 302-305.
16 Sun YC, Lü PJ, Wang Y. Study on CAD&RP for removable complete denture[J]. Comput Methods Programs Biomed, 2009, 93(3): 266-272.
17 Stawarczyk B, Dinse L, Eichberger M, et al. Flexu-ral strength, fracture toughness, three-body wear, and Martens parameters of pressable lithium-X-silicate ceramics[J]. Dent Mater, 2020, 36(3): 420-430.
18 Schweiger J, Güth JF, Edelhoff D, et al. Virtual eva-luation for CAD-CAM-fabricated complete dentures[J]. J Prosthet Dent, 2017, 117(1): 28-33.
19 Sun YC, Yuan FS, Li H, et al. Evaluation of the accuracy of a common regional registration method for three-dimensional reconstruction of edentulous jaw relation by a 7-axis three-dimensional measuring system[J]. Biomed Mater Eng, 2014, 24(1): 1275-1287.
20 Steinmassl PA, Klaunzer F, Steinmassl O, et al. Evaluation of currently available CAD/CAM denture systems[J]. Int J Prosthodont, 2017, 30(2): 116-122.
21 Barazanchi A, Li KC, Al-Amleh B, et al. Additive technology: update on current materials and applications in dentistry[J]. J Prosthodont, 2017, 26(2): 156-163.
22 Zoidis P, Papathanasiou I, Polyzois G. The use of a modified poly-ether-ether-ketone (PEEK) as an alternative framework material for removable dental prostheses. A clinical report[J]. J Prosthodont, 2016, 25(7): 580-584.
23 Harb IE, Abdel-Khalek EA, Hegazy SA. CAD/CAM constructed poly(etheretherketone) (PEEK) framework of Kennedy Class Ⅰ removable partial denture: a clinical report[J]. J Prosthodont, 2019, 28(2): e595-e598.
24 Wu Q, Zhang N, Dong B, et al. Esthetic rehabilitation for a Kennedy Class Ⅳ patient using detacha-ble 3D printing diagnostic denture and removable partial denture with polyetheretherketone framework[J]. Heliyon, 2022, 8(10): e10834.
25 Vaddamanu SK, Alhamoudi FH, Chaturvedi S, et al. Retentive forces and deformation of fitting surface in RPD clasp made of polyether-ether-ketone (PEEK)[J]. Polymers, 2023, 15(4): 956.
26 Tribst JPM, Dal Piva AMO, Borges ALS, et al. Effect of different materials and undercut on the remo-val force and stress distribution in circumferential clasps during direct retainer action in removable partial dentures[J]. Dent Mater, 2020, 36(2): 179-186.
27 Carneiro Pereira AL, Bezerra de Medeiros AK, de Sousa Santos K, et al. Accuracy of CAD-CAM systems for removable partial denture framework fabrication: a systematic review[J]. J Prosthet Dent, 2021, 125(2): 241-248.
28 Williams RJ, Bibb R, Eggbeer D, et al. Use of CAD/CAM technology to fabricate a removable partial denture framework[J]. J Prosthet Dent, 2006, 96(2): 96-99.
29 Chia VAP, See Toh YL, Quek HC, et al. Comparative clinical evaluation of removable partial denture frameworks fabricated traditionally or with selective laser melting: a randomized controlled trial[J]. J Prosthet Dent, 2024, 131(1): 42-49.
30 Rues S, Tasaka A, Fleckenstein I, et al. Fit and retention of cobalt-chromium removable partial denture frameworks fabricated with selective laser melting[J]. J Funct Biomater, 2023, 14(8): 416.
31 Akiyama Y, Kanazawa M, Iwaki M, et al. Fabrication of milled removable partial dentures using a custom plate with prefabricated artificial teeth[J]. J Prosthodont Res, 2023, 67(4): 647-651.
32 Wu JC, Wang ZY, Zhang N, et al. A digital workflow for complete arch rehabilitation with zirconia crowns on restored posterior teeth and a polyetheretherketone framework denture[J]. J Prosthet Dent, 2023: S0022-S3913(23)00118-X.
33 王莉莉, 刘洪臣. 三维数字化技术在全口义齿修复中的应用进展[J]. 中华老年口腔医学杂志, 2019, 17(1): 59-62.
Wang LL, Liu HC. Application progress of three-dimensional digital technology in prosthodontics of complete denture[J]. Chin J Geriatr Dent, 2019, 17(1): 59-62.
34 Grischke J, Johannsmeier L, Eich L, et al. Dentro-nics: towards robotics and artificial intelligence in dentistry[J]. Dent Mater, 2020, 36(6): 765-778.
35 吕培军, 李国珍, 王勇, 等. 人工智能专家系统在口腔修复中的应用[J]. 中华口腔医学杂志, 1996, 31(6): 367-369.
Lü PJ, Li GZ, Wang Y, et al. The application of the expert system in prosthedontics[J]. Chin J Stomatol, 1996, 31(6): 367-369.
36 吕培军, 王勇, 李国珍, 等. 机器人辅助全口义齿排牙系统的初步研究[J]. 中华口腔医学杂志, 2001, 36(2): 139-142.
Lü PJ, Wang Y, Li GZ, et al. Development of a system for robot aided teeth alignment of complete denture[J]. Chin J Stomatol, 2001, 36(2): 139-142.
37 张永德, 彭景春, 姜金刚. 多操作机排牙机器人的高精度运动控制[J]. 机器人, 2008, 30(6): 542-547.
Zhang YD, Peng JC, Jiang JG. High precision motion control for multi-manipulator tooth arrangement robot[J]. Robot, 2008, 30(6): 542-547.
38 Zhang YD, Jiang JG, Liang T, et al. Kinematics modeling and experimentation of the multi-manipulator tooth-arrangement robot for full denture manufacturing[J]. J Med Syst, 2011, 35(6): 1421-1429.
39 张伟亮. SCARA型排牙机器人结构设计与仿真分析[D]. 哈尔滨: 哈尔滨理工大学, 2013.
Zhang WL. Structural design and simulation analysis of SCARA tooth arrangement robot[D]. Harbin: Harbin University of Science and Technology, 2013.
40 Feng Y, Ma S, Zhong S, et al. A method to improve positioning of denture teeth on denture bases for CAD-CAM complete dentures: a dental technique[J]. J Prosthet Dent, 2024, 132(1): 46-50.
41 Anadioti E, Musharbash L, Blatz MB, et al. 3D printed complete removable dental prostheses: a narrative review[J]. BMC Oral Health, 2020, 20(1): 343.
42 Peroz S, Peroz I, Beuer F, et al. Digital versus conventional complete dentures: a randomized, controlled, double-blinded crossover trial[J]. J Prosthet Dent, 2024, 132(1): 132-138.
[1] Liangjun Zhong. Application of digital technology in the treatment of advanced periodontitis [J]. Int J Stomatol, 2025, 52(1): 1-10.
[2] Yunyi Wang,Zhu Zhu,Feng Zhang. Progress of research on using artificial intelligence for cephalometric automatic-landmarking algorithms [J]. Int J Stomatol, 2024, 51(5): 630-641.
[3] Yuze Yang,Luying Ai,Ziliang Zhang,Kang Xiao,Yudian Mao,Yun Wu,Ling Chen. Application of fragment reattachment with digital veneers in complex crown fractures of the upper anterior teeth: a case report [J]. Int J Stomatol, 2024, 51(2): 172-175.
[4] Zhu Keshi,Liao Anqi,Yu Youcheng.. Research progress on the application of machine learning in dental implantology [J]. Int J Stomatol, 2023, 50(4): 491-498.
[5] Lin Huiping,Xu Ting,Lin Jun.. Research progress on artificial intelligence techniques in diagnosis of oral cancer and potentially malignant disorders [J]. Int J Stomatol, 2023, 50(2): 138-145.
[6] Tang Yueting,Dai Jiaqi,Dong Wenxuan,Wang Hu,Guo Jixiang,You Meng. Research progress of dental age evaluation based on machine learning methods [J]. Int J Stomatol, 2023, 50(2): 146-151.
[7] Luo En. Exploration and clinical application of artificial intelligence in orthognathic surgery [J]. Int J Stomatol, 2022, 49(2): 125-131.
[8] Tian Erkang,Xiang Qianrong,Zhao Xinran,Peng Jiahan,Shu Rui. Application of artificial intelligence in oral diagnosis and treatment [J]. Int J Stomatol, 2021, 48(4): 475-484.
[9] Zhao Zhihe. Comparison of anterior tooth torque design in digital orthodontics [J]. Int J Stomatol, 2021, 48(1): 1-6.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!