The clinical effectiveness assessment of proposed digital dental planning and digital smile prototypes design
Main Article Content
Abstract
Background: Modern technologies in dentistry are one of the effective methods to obtain results that are acceptable to the patient, as well as reducing time, effort, and cost. Materials and Methods: The effectiveness of the developed digital dental treatment planning was evaluated by assessing the results of a survey of 50 patients in need of dental implant prosthesis for aesthetic faults of the anterior tееth at the prototype stage. The Oral Health Impact Profile-14 (OHIP-14) was created to measure the impact that oral health issues can have on a person's life. Results: after the mockup the relative occlusal load distribution between the right and left sides was 50.40 ± 0.90% with balanced occlusion.The dental closing time was 0.17± 0.07 s; and the dental opening time was 0.19 ±0.04 s. The difference in timing between the left and right latеrntrusions is -0.030 ± 0.03. During protrusion, the opening time was less than 0.6 s. (0.170 ± 0.07). The time required to close the teeth to reach the maximum intercuspation was 0.20 ± 0.02 s, where the time required to open them was 0.170 ± 0.02 s. Conclusion: Prior to the mock-up, the patients' average relative occlusal load distribution was 51.5±1.20% on the left and right sides. After the mock-up, it was found that the relative occlusal load distribution between the left and right sides was 50.40±0.90%. These results point to stable and successful occlusal balance restoration following mock-up. After using the OHIP-14 questionnaire to summarize the survey results, we can say that patients' quality of life has enhanced by a factor of two.
Received date: 10-05-2024
Accepted date: 12-06-2024
Published date: 15-09-2025
Downloads
Article Details
Issue
Section

This work is licensed under a Creative Commons Attribution 4.0 International License.
Licenses and Copyright
The following policy applies in The Journal of Baghdad College of Dentistry (JBCD):
# JBCD applies the Creative Commons Attribution (CC BY) license to articles and other works we publish. If you submit your paper for publication by JBCD, you agree to have the CC BY license applied to your work. Under this Open Access license, you as the author agree that anyone can reuse your article in whole or part for any purpose, for free, even for commercial purposes. Anyone may copy, distribute, or reuse the content as long as the author and original source are properly cited. This facilitates freedom in re-use and also ensures that JBCD content can be mined without barriers for the needs of research.
# If your manuscript contains content such as photos, images, figures, tables, audio files, videos, etc., that you or your co-authors do not own, we will require you to provide us with proof that the owner of that content (a) has given you written permission to use it, and (b) has approved of the CC BY license being applied to their content. We provide a form you can use to ask for and obtain permission from the owner. If you do not have owner permission, we will ask you to remove that content and/or replace it with other content that you own or have such permission to use.Don't assume that you can use any content you find on the Internet, or that the content is fair game just because it isn't clear who the owner is or what license applies.
# Many authors assume that if they previously published a paper through another publisher, they own the rights to that content and they can freely use that content in their paper, but that’s not necessarily the case, it depends on the license that covers the other paper. Some publishers allow free and unrestricted re-use of article content they own, such as under the CC BY license. Other publishers use licenses that allow re-use only if the same license is applied by the person or publisher re-using the content. If the paper was published under a CC BY license or another license that allows free and unrestricted use, you may use the content in your JBCD paper provided that you give proper attribution, as explained above.If the content was published under a more restrictive license, you must ascertain what rights you have under that license. At a minimum, review the license to make sure you can use the content. Contact that JBCD if you have any questions about the license. If the license does not permit you to use the content in a paper that will be covered by an unrestricted license, you must obtain written permission from the publisher to use the content in your JBCD paper. Please do not include any content in your JBCD paper which you do not have rights to use, and always give proper attribution.
# If any relevant accompanying data is submitted to repositories with stated licensing policies, the policies should not be more restrictive than CC BY.
# JBCD reserves the right to remove any photos, captures, images, figures, tables, illustrations, audio and video files, and the like, from any paper, whether before or after publication, if we have reason to believe that the content was included in your paper without permission from the owner of the content.
How to Cite
References
Beuer F, Schweiger J, Edelhoff D. Digital dentistry: an overview of recent developments for CAD/CAM generated restorations. Br Dent J. 2008; 204, 505–511.
Torabi K, Farjood E, Hamedani S. Rapid Prototyping Technologies and their Applications in Prosthodontics, a Review of Literature. J Dent (Shiraz). 2015 Mar;16(1):1-9.
Khdeir RM, Ibraheem AF. The Marginal Fitness of CAD/CAM All Ceramic Crowns Constructed by Two Typesof Direct Digitization Techniques (An In Vitro Study). J Bagh Coll Dent. 2016 Jun. 15;28(2):30-3.
Cattoni F, Mastrangelo F, Gherlone EF, Gastaldi G. A New Total Digital Smile Planning Technique (3D-DSP) to Fabricate CAD-CAM Mockups for Esthetic Crowns and Veneers. Int J Dent. 2016; 2016:6282587.
AlSamarrai FF, AlSheakli II. Validity of Digital and Rapid Prototyped Orthodontic Study Models. J Bagh Coll Dent. 2017; 15;29(3):79-84.
Rakhshan V, Sforza C, Vucinic P, Vitalariu AM, De Menezes, M. Advanced digital dentistry. Int J Dent. 2018; 2018, 1–2.
Rekow ED. Digital dentistry: The new state of the art - Is it disruptive or destructive?. Dent Mater. 2020; 36(1):9-24.
Camcı H, Salmanpour F. A new technique for testing accuracy and sensitivity of digital bite registration: A prospective comparative study. Int Orthod. 2021;19(3):425-432.
Alharkan H. Integrating Digital Smile Design into Restorative Dentistry: A Narrative Review of the Applications and Benefits. Saudi Dent J. 2023;10 (12).014.
Yue Z, Luo Z, Hou J, Zhang H.Application of 3D digital smile design based on virtual articulation analysis in esthetic dentistry: A technique. J Prosth Dent. 2023; S0022-3913(23) 00763-1.
Haidar ZS. Digital dentistry: Past, present, and future. Digit Med Healthc Technol. 2023.
Fatalla AA, Arzani S, Veseli E, Khademi A, Khandan A, Fahmy MD, et al. Revolutionizing Systematic Reviews and Meta-analyses: The Role of Artificial Intelligence in Evidence Synthesis. Dent Hypoth. 2023;14(4):93-4.
Schierz O, Hirsch C, Krey KF, Ganss C, Kämmerer PW, Schlenz MA. Digital Dentistry and its Impact on Oral Health-Related Quality of Life. J Evidence-Based Dent Prac. 2023;15:101946.
Campos LA, Peltomäki T, Marôco J, Campos JA. Use of oral health impact profile-14 (OHIP-14) in different contexts. What is being measured?. Inter J Environ Res Pub Health. 2021 Dec 20;18(24):13412..
Omara M, Salzberger T, Boecker M, Bekes K, Steiner G, Nell-Duxneuner V, et al. Improving the measurement of oral health-related quality of life: Rasch model of the oral health impact profile-14. J Dent. 2021;114:103819.
Ingleshwar A, John MT. Cross-cultural adaptations of the oral health impact profile–An assessment of global availability of 4-dimensional oral health impact characterization. J Evidence-Based Dent Prac. 2023;23(1):101787.
John MT, Omara M, Su N, List T, Sekulic S, Häggman-Henrikson B, et al. Recommendations for use and scoring of oral health impact profile versions. J Evidence-Based Dent Prac. 2022;22(1):101619..
Joaqui OG, García RS, Pacheco JA. A three-dimensional Oral health-related quality of life framework for temporomandibular joint disorders: A structural analysis of the Oral Health Impact Profile-14. J Dent. 2023;134:104527.
Javaid M, Haleem A, Kumar L. Current status and applications of 3D scanning in dentistry. Clin Epidemio Global Health. 2019;7(2):228-33.
Falih MY, Majeed MA. Trueness and precision of eight intraoral scanners with different finishing line designs: A comparative in vitro study. Euro J Dent 2023;17(04):1056-64.
Frąckiewicz W, Jankowska A, Machoy ME. CBCT and modern intraoral scanners as tools for developing comprehensive, interdisciplinary treatment plans. Advances in Clinical and Experimental Medicine: Official Organ Wroclaw Medical University. 2024.
Schierz O, Hirsch C, Krey KF, Ganss C, Kämmerer PW, Schlenz MA. Digital Dentistry and its Impact on Oral Health-Related Quality of Life. J Evidence-Based Dent Prac 2023;15:101946..
De Bruyn H, Raes S, Matthys C, Cosyn J. The current use of patient‐centered/reported outcomes in implant dentistry: a systematic review. Clinic Oral Imp Res 2015;26:45-56.
Afrashtehfar KI, Assery MK, Bryant SR. Patient satisfaction in medicine and dentistry. Inter J Dent 2020;2020.
Hong G, Hung CC, Mayanagi G, Nishioka T, Sun L, Lai EH, et al. Questionnaire survey on the satisfaction of SimEx dental education system. J Dent Sci 2023;18(2):840-7..
Gredes T, Pricop-Jeckstadt M, Mereti E, Botzenhart U. Survey of student attitudes toward digital technology in practical technical dental education using the AR-Demonstrator-App. J Dent Educ. 2022; 86: 12–20.