CHAYNOV TISHLARI OKKLYUZION YUZASINING RAQAMLI 3D-MORFOMETRIK XUSUSIYATLARI VA ULARNING OKKLYUZION BALANSI HAMDA CHAYNASH FUNKSIYASI BILAN BOG‘LIQLIGI
DOI:
https://doi.org/10.5281/zenodo.23365825Keywords:
Okklyuziya, chaynash samaradorligi, 3D-biometriya, okklyuzion kontaktlar, raqamli okklyuzion tahlil, T-Scan tizimi, virtual artikulyatorlarAbstract
Okklyuzion munosabatlarni va chaynash samaradorligini to‘g‘ri baholash zamonaviy stomatologiyada muhim o‘rin tutadi. Bu ko‘rsatkichlar ortopedik, ortodontik va funksional davolash natijalarini baholashda ahamiyatlidir. Ushbu adabiyotlar sharhida okklyuzion yuzaning biometrik xususiyatlari, 3D-raqamli modellashtirish, T-Scan orqali statik va dinamik okklyuzion tahlil, shuningdek, chaynash yuklamasining taqsimlanishiga oid tadqiqotlar ko‘rib chiqiladi. Manbalarda 3D-skanerlash, virtual artikulyatorlar va raqamli okklyuziografiya kabi texnologiyalar an’anaviy usullarga nisbatan o‘lchovlarning aniqligi, takrorlanuvchanligi va funksional ko‘rsatkichlarni obyektiv qayd etish imkoniyati bilan ajralib turishi ta’kidlangan.References
1. Edgar, H. J. H., & Ousley, S. D. (2021). Dental morphology in forensic anthropology: Ancestry assessment and identification of remains. Journal of Forensic Sciences, 66(2), 485–493. https://doi.org/10.1111/1556-4029.14607
2. Ryakhovsky, A. N., Karapetyan, A. A., & Bulycheva, E. A. (2021). 3D analysis of occlusal surfaces of teeth and their contacts. Part I. Stomatologiya, 100(4), 37–43. https://doi.org/10.17116/stomat202110004137
3. Ryakhovsky, A. N., & Karapetyan, A. A. (2021). 3D analysis of occlusal surfaces of teeth and their contacts. Part III: Assessment of occlusal contact balance (occlusal balance). Stomatologiya, 100(6), 50–56. https://doi.org/10.17116/stomat202110006150
4. Ryakhovsky, A. N. (2024). Planning masticatory load in designing the occlusal surface of lateral teeth based on 3D analysis. Stomatologiya, 103(5), 45–52.
5. Voronov, I. A. (2018). Improvement of control over restoration of masticatory efficiency at stages of orthopedic treatment with fixed dentures [dissertation for Candidate of Medical Sciences, specialty 14.01.14]. Voronezh State Medical University; 2018.
6. Butkov, D. S. (2021). Optimization of orthopedic treatment of patients with TMJ disorders using occlusal splints and 3D printing technologies [dissertation for Candidate of Medical Sciences]. Peoples’ Friendship University of Russia (RUDN); 2021.
7. Arutyunov, S. D., Grishin, L. V., & Zhulev, E. N. (2016). Methodology for determining masticatory efficiency using an original computer program based on multidimensional data analysis methods. CyberLeninka, 8(3), 78–84.
8. Alpatyeva, Y. V., Bulycheva, E. A., & Trezubov, V. N. (2012). Digital analysis of dentition in prosthodontic practice (T-Scan III, occlusal equilibrium). RUDN Repository. 2012;(3):12–15.
9. Shemonaev, V. I., Mashkov, A. V., & Klinaev, A. I. (2012). Analysis of biometric characteristics of occlusal morphology of lateral teeth as a criterion for the quality of dental prostheses. Journal of Volgograd State Medical University. 2012;(2):45–48.
10. Shemonaev, V. I., & Motorkina, T. V. (2014). Biometrics of the occlusal surface of lateral teeth in restoring dentition integrity. Fundamental Research. 2014;(10-7):1380–1384.
11. Nesterov, A. M., & Belenov, Y. V. (2015). Computer analysis of dental occlusiograms for calculating the area of occlusal contacts. Journal of Scientific Articles “Health and Education in the 21st Century”, 17(4), 112–116.
12. Chepuryaeva, O. S. (2024). Determination of the effectiveness of the author’s method of obtaining identical raster images of occlusiograms. Russian Biomedical Research, 9(1), 15–22. https://doi.org/10.56871/
13. Domenyuk, D. A., & Vedeshina, E. G. (2025). Specifics of virtual values of 3D biometrics and 3D occlusiography in patients with Class II malocclusion in permanent dentition. Medical News of North Caucasus, 20(1), 55–60.
14. Zhang, Q., Liu, B., Wang, K., & Zhang, X. (2024). Digital occlusal contact area indicates masticatory performance for normal occlusion, but not for malocclusion. Journal of Oral Rehabilitation, 51(8), 1452–1461. https://doi.org/10.1111/joor.14002
15. Chen, Z., Liang, Y., & Xu, C. (2023). Construction of a novel digital method for quantitative analysis of occlusal contact and force. BMC Oral Health. 2023;23(1):128. DOI: 10.1186/s12903-023-02899-y. 12903–023. https://doi.org/10.1186/s12903-023-02899-y
16. De Angelis F, Pranno N, Pignataro DS, et al. New approach to dental morphometric research based on 3D imaging techniques. Journal of Imaging. 2021;7(9):184. DOI: 10.3390/jimaging7090184.
17. Kim, J. E., Amarsanaa, O., & Shim, J. S. (2021). Hierarchical CNN-based occlusal surface morphology analysis for classifying posterior tooth type using augmented images from 3D dental surface models. Computer Methods and Programs in Biomedicine. 2021;208:106292. DOI: 10.1016/j.cmpb.2021.106292. https://doi.org/10.1016/j.cmpb.2021.106292
18. Eguro, T., Kanazawa, M., & Komagamine, Y. (2017). A new occlusal surface design for artificial posterior teeth to achieve high masticatory performance. Journal of Prosthodontic Research, 61(3), 280–287. https://doi.org/10.1016/j
19. Magalhães, I. B., Pereira, L. J., Marques, L. S., & Gameiro, G. H. (2010). The influence of malocclusion on masticatory performance: A systematic review. The Angle Orthodontist, 80(5), 981–987. https://doi.org/10.2319/011910-
20. Al-Moraissi, E. A., & Al-Haidari, Z. A. (2025). Digital occlusal analysis of the impact of natural dentition and different types of rehabilitation on the occlusal force variations: Systematic review and meta-analysis. Journal of Oral Biology and Craniofacial Research, 15(1), 102–111. https://doi.org/10.1016/j.jobcr.2024.11.008
21. Lopez-Rios, M., & Rodriguez-Acurio, M. (2023). Sleep bruxism and masticatory efficiency in young healthy adults mediated by occlusal force and contact area. University of Barcelona Digital Repository. 2023;1–45.
22. Mikami, R., Mizutani, S., Matsuyama, Y., et al. (2024). Association between occlusal supports and nutritional status in older adults: A systematic review. Journal of Dental Sciences, 19(2), 813–827. https://doi.org/10.1016/j
23. Quan, C., Ba, Y., & Zhang, C. (2017). Assessment of occlusion before and after orthognathic surgery using T-Scan system. Scientific Reports. 2017;7:5788. DOI: 10.1038/s41598-017-05788-x. 5788. DOI: 10.1038/s41598-017-05788-x. https://doi.org/10.1038/s41598-017-05788-x
24. Wang, C., Wang, Y., & Zhang, L. (2023). Evaluation of occlusal bite force distribution by T-Scan in orthodontic patients with different occlusal characteristics. BMC Oral Health. 2023;23(1):645. DOI: 10.1186/s12903-023- 03544-4. 12903–023. https://doi.org/10.1186/s12903-023-
25. Sierpinska, T., Pakiela, G., & Golebiewska, M. (2006). Relationship between masticatory efficiency and occlusal parameters established in T-Scan II system. Hrčak (Acta Stomatologica Croatica), 40(2), 125–133.
26. Dimova, M. (2014). Occlusion and articulation in bruxism and bruxomania investigated with the system T-Scan III. Journal of IMAB, 20(5), 655–660. https://doi.org/10.5272/jimab.2014205.655
27. Vlăduțu, D. E., Ionescu, M., Popescu, S. M., et al. (2023). Aspects of dental occlusion assessed with the T-Scan system among a group of Romanian dental students. International Journal of Environmental Research and Public Health. 2023;20(6):4877. DOI: 10.3390/ijerph20064877. https://doi.org/10.3390/ijerph20064877
28. Sharma, A., Garg, S., & Bhatia, A. (2024). Effectiveness of T-Scan technology in detecting occlusal interferences: A comprehensive review. Journal of Clinical and Diagnostic Research. 2024;18(3):DE01–DE05.
29. Koos, B., Godt, A., Schille, C., & Goz, G. (2010). Precision and repeatability of the T-Scan III system in occlusal force measurement. Journal of Orofacial Orthopedics, 71(1), 15–22. https://doi.org/10.1007/s00056-010-1023-7
30. Lee, H., Cha, J., & Chun, Y. S. (2018). Comparison of the occlusal contact area of virtual models and actual models. BMC Oral Health. 2018;18(1):82. DOI: 10.1186/s12903-018-0566-7. 12903–018. https://doi.org/10.1186/s12903-018-0566-7
31. Kim, S. Y., & Shin, Y. H. (2020). A comparison of occlusal contact area between virtual occlusion acquired using digital intraoral scanner and polyvinyl siloxane bite registration. Ewha Womans University Repository. 2020;12–.
32. Ruge, S., Quooß, A., & Kordaß, B. (2009). Visual analysis of dynamic occlusion in a virtual articulator. Journal of Craniomandibular Function, 1(3), 201–211.
33. Ruge, S., Quooß, A., & Kordaß, B. (2011). Variability of closing movements, dynamic occlusion and occlusal contact patterns during mastication. International Journal of Computerized Dentistry, 14(2), 123–131.
34. Kullmer, O., Benazzi, S., Fiorenza, L., et al. (2009). Technical note: Occlusal fingerprint analysis: Quantification of tooth wear pattern. American Journal of Physical Anthropology, 139(4), 600–605. https://doi.org/10.1002/
35. Ungar, P. S., & Williamson, M. (2000). Exploring the effects of tooth wear on functional morphology: Dental topographic analysis. Palaeontologia Electronica, 3(1), 1–18.
36. Fiorenza, L., Benazzi, S., & Oxnard, C. E. (2021). Quantification of dental macrowear using 3D occlusal surface topographic measurements in deciduous and permanent molars of children. PLoS ONE. 2021;16(8):e0256031. DOI: 10.1371/journal.pone.0256031. https://doi.org/10.1371/journal.pone.0256031
37. Park, J. H., & Kim, J. E. (2020). Diagnosis of occlusal tooth wear using 3D imaging of optical coherence tomography ex vivo. Sensors. 2020;20(21):6251. DOI: 10.3390/s20216251. https://doi.org/10.3390/s20216251
38. Patel, M., Shah, R., & Patel, A. (2025). The T-Scan system: A digital approach to occlusal analysis in modern dentistry. ResearchGate, 393126852, 1–10.
39. Coelho AJMP. Estudo da relação entre área de contacto oclusal e eficiência mastigatória [master’s thesis]. Universidade Católica Portuguesa; 2018.
40. Normurodova, R. Z., & Davronova, Sh. Z. (2026). Qisman adentiyada raqamli texnologiyalardan foydalanish: zamonaviy yondashuv va klinik samaradorlik. Journal of Effective Learning and Sustainable Innovation. 2026;4(2):198–.
41. Vaxobova, M. B. (2025). Ortodontik davolash yakunlangan bemorlarda ortopedik taktika tanlovining ilmiy asoslanishi (T-Scan, EMG, aksiografiya). Mutafakkir. 2025;(38).
Downloads
Published
How to Cite
Issue
Section
