18 -11 (85) 2025 - Idiev O.E. - THE IMPORTANCE OF BONE ARCHITECTONICS IN THE PLANNING OF DENTAL IMPLANTATION

THE IMPORTANCE OF BONE ARCHITECTONICS IN THE PLANNING OF DENTAL IMPLANTATION

Idiev O.E. - Bukhara State Medical Institute named after Abu Ali ibn Sina

Resume

The quality of the alveolar bone is important in the success of dental implantation and long-term results. Currently, none of the classifications of bone architectonics fully reflects the full variability of the ratio of compact and trabecular bone. This review is devoted to the analysis of scientific literature devoted to the systematization of varieties of alveolar bone architectonics and the assessment of their impact on the outcome of dental implantation. The results indicate the need for additional research to improve the classification of bone structure variants in the area of planned implantation.

Keywords: dental implantation, bone architectonics, cortical plate, trabecular bone, CBCT, artificial intelligence, periimplantitis.

First page

94

Last page

100

For citation:Idiev O.E. - THE IMPORTANCE OF BONE ARCHITECTONICS IN THE PLANNING OF DENTAL IMPLANTATION//New Day in Medicine 11(85)2025 94-100 https://newdayworldmedicine.com/en/new_day_medicine/11-85-2025

List of References

  1. Шукпаров А. Б., Шомуродов К. Э., Мирхусанова Р. С. Принципы направленной костной регенерации: критические предоперационные факторы и критерии успеха // Интегративная стоматология и челюстно-лицевая хирургия. 2022;1(1):10-13.
  2. Шукпаров А., Шомуродов К., Мирхусанова Р. Морфологическая оценка остеорегенрации после НКР с применением различным костнопластических материалов // Stomatologiya. – 2022;1(2-3):31-34.
  3. Al-Ekrish AA, Widmann G, Alfadda SA. Revised, computed tomography-based Lekholm and Zarb jawbone quality classification. // Int J Prosthodont 2018;31:342-5.
  4. Bayadilovich, Shukparov Asylbek, and Shomurodov Kakhramon Erkinovich. "The role of preliminary expansion of soft tissues before GBR." World Bulletin of Public Health 13 (2022): 206-209.
  5. Dutta SR, Passi D, Singh P, Atri M, Mohan S, Sharma A. Risks and complications associated with dental implant failure: Critical update. // Natl J Maxillofac Surg 2020;11:14-9.
  6. Goiato MC, dos Santos DM, Santiago JF Jr, Moreno A, Pellizzer EP. Longevity of dental implants in type IV bone: A systematic review. // Int J Oral Maxillofac Surg 2014;43:1108-16.
  7. Huang, Y., Dessel, J. V., Depypere, M., EzEldeen, M., Iliescu, A. A., Santos, E. D., ... Jacobs, R. (2014). Validating cone‐beam computed tomogra‐ phy for peri‐implant bone morphometric analysis. Bone Research, 2, 14010.
  8. Ibrahim, N., Parsa, A., Hassan, B., van der Stelt, P., & Wismeijer, D. (2013). Diagnostic imaging of trabecular bone microstructure for oral implants: A literature review. Dentomaxillofacial Radiology, 42(3), 20120075.
  9. Kang SR, Bok SC, Choi SC, Lee SS, Heo MS, Huh KH, et al. The relationship between dental implant stability and trabecular bone structure using cone-beam computed tomography. // J Periodontal Implant Sci 2016;46:116-27.
  10. Kim J.E. et al. Transfer learning via deep neural networks for implants fixture system classification using periapical radiographs // J. Clin. Med. 9, 1117 (2020).
  11. Li J, Yin X, Huang L, Mouraret S, Brunski JB, Cordova L, et al. Relationships among bone quality, implant osseointegration, and wnt signaling. // J Dent Res 2017;96:822-31.
  12. Nackaerts, O., Depypere, M., Zhang, G., Vandenberghe, B., Maes, F., & Jacobs, R. (2015). Segmentation of trabecular jaw bone on cone beam CT datasets. // Clinical Implant Dentistry and Related Research, 2015;17(6):1082-1091.
  13. Nicolielo LFP, Van Dessel J, Jacobs R, Quirino Silveira Soares M, Collaert B. Relationship between trabecular bone architecture and early dental implant failure in the posterior region of the mandible. // Clin Oral Implants Res 2020;31:153-61.
  14. Oliveira MR, Gonçalves A, Gabrielli MAC, de Andrade CR, Vieira EH, Pereira-Filho VA. Evaluation of alveolar bone quality: Correlation between histomorphometric analysis and Lekholm and Zarb classification. // J Craniofac Surg 2021;32:2114-8.
  15. Park, W., Huh, J. K., & Lee, J. H. (2023). Automated deep learning for classification of dental implant radiographs using a large multi-center dataset. // Scientific reports, 2023;13(1):4862.
  16. Rosas-Díaz JC, Córdova-Limaylla NE, Palomino- Zorrilla JJ, Guerrero ME, Carreteros R, Cervantes-Ganoza LA, et al. Repeatability and reproducibility of a modified Lekholm and Zarb bone quality classification based on cone beam computed tomography: An observatsion study. // J Int Soc Prevent Communit Dent 2024;14:278-86.

    file

    download