open access

Vol 77, No 3 (2018)
Original article
Submitted: 2017-12-13
Accepted: 2018-01-29
Published online: 2018-02-02
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Using three-dimensional digital models to establish alveolar morphotype

M. Konvalinkova12, W. Urbanova1, K. Langova3, M. Kotova12
·
Pubmed: 29399755
·
Folia Morphol 2018;77(3):536-542.
Affiliations
  1. Department of Orthodontics and Cleft Defects, Third Faculty of Medicine Charles University and University Hospital Kralovske Vinohrady, Prague, Czech Republic
  2. Department of Orthodontics, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic
  3. Department of Medical Biophysics, Faculty of Medicine and Dentistry, Palacky University, Olomouc, Czech Republic

open access

Vol 77, No 3 (2018)
ORIGINAL ARTICLES
Submitted: 2017-12-13
Accepted: 2018-01-29
Published online: 2018-02-02

Abstract

Background: The aim of the study was to propose a classification of alveolar morphotype and assess a relationship between extraction/non-extraction orthodontic treatment and changes to the alveolar process.
Materials and methods: Seventy-five subjects (mean age = 23.2, SD = 5.1) were selected. Areas of the sections of the alveolar process (ASAP) at three different levels (0, 2, and 4 mm) were measured on pre- and post-treatment three-dimensional digital models. Method reliability was analysed using Dahlberg’s formula, intraclass correlation coefficient, and paired t-tests.
Results: The mean ASAP was smallest at level 0 and largest at level 4. Pre-treatment ASAP < 773 mm2, < 863.9 mm2, and < 881.1 mm2 at levels 0, 2, and 4 mm, respectively, should be described as a “thin” alveolar morphotype. Regression models showed that pre-treatment ASAP was a predictor of the change of the alveolus during treatment only at level 2.
Conclusions: Patients for whom pre-treatment ASAP is < 773 mm2, < 863.9 mm2, and < 881.1 mm2 at levels 0, 2, and 4 mm, respectively, should be described as having a “thin” alveolar morphotype. In these patients, extraction treatment, associated with a decrease in the alveolus area, should be exercised with caution.

Abstract

Background: The aim of the study was to propose a classification of alveolar morphotype and assess a relationship between extraction/non-extraction orthodontic treatment and changes to the alveolar process.
Materials and methods: Seventy-five subjects (mean age = 23.2, SD = 5.1) were selected. Areas of the sections of the alveolar process (ASAP) at three different levels (0, 2, and 4 mm) were measured on pre- and post-treatment three-dimensional digital models. Method reliability was analysed using Dahlberg’s formula, intraclass correlation coefficient, and paired t-tests.
Results: The mean ASAP was smallest at level 0 and largest at level 4. Pre-treatment ASAP < 773 mm2, < 863.9 mm2, and < 881.1 mm2 at levels 0, 2, and 4 mm, respectively, should be described as a “thin” alveolar morphotype. Regression models showed that pre-treatment ASAP was a predictor of the change of the alveolus during treatment only at level 2.
Conclusions: Patients for whom pre-treatment ASAP is < 773 mm2, < 863.9 mm2, and < 881.1 mm2 at levels 0, 2, and 4 mm, respectively, should be described as having a “thin” alveolar morphotype. In these patients, extraction treatment, associated with a decrease in the alveolus area, should be exercised with caution.

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Keywords

alveolar process; digital model; scanning

About this article
Title

Using three-dimensional digital models to establish alveolar morphotype

Journal

Folia Morphologica

Issue

Vol 77, No 3 (2018)

Article type

Original article

Pages

536-542

Published online

2018-02-02

Page views

1132

Article views/downloads

917

DOI

10.5603/FM.a2018.0014

Pubmed

29399755

Bibliographic record

Folia Morphol 2018;77(3):536-542.

Keywords

alveolar process
digital model
scanning

Authors

M. Konvalinkova
W. Urbanova
K. Langova
M. Kotova

References (23)
  1. Aarts BE, Convens J, Bronkhorst EM, et al. Cessation of facial growth in subjects with short, average, and long facial types - Implications for the timing of implant placement. J Craniomaxillofac Surg. 2015; 43(10): 2106–2111.
  2. Ahn HW, Moon SC, Baek SH. Morphometric evaluation of changes in the alveolar bone and roots of the maxillary anterior teeth before and after en masse retraction using cone-beam computed tomography. Angle Orthod. 2013; 83(2): 212–221.
  3. Bailey LT, Esmailnejad A, Almeida MA. Stability of the palatal rugae as landmarks for analysis of dental casts in extraction and nonextraction cases. Angle Orthod. 1996; 66(1): 73–78.
  4. Baloul S. Osteoclastogenesis and osteogenesis during tooth movement. Tooth Movement. 2016; 18: 75–79.
  5. Duterloo HS. The impact of orthodontic treatment procedures on the remodelling of alveolar bone. Orthodontische Studieweek. Ned Ver Orthod Studie. 1975: 5–21.
  6. Grauer D, Cevidanes LH, Tyndall D, et al. Registration of orthodontic digital models. Craniofac Growth Ser. 2011; 48: 377–391.
  7. Güleç A, Kaçıra BK, Kütahya H, et al. Morphometric analysis of the lumbar vertebrae in the Turkish population using three-dimensional computed tomography: correlation with sex, age, and height. Folia Morphol. 2017; 76(3): 433–439.
  8. Handelman CS. The anterior alveolus: its importance in limiting orthodontic treatment and its influence on the occurrence of iatrogenic sequelae. Angle Orthod. 1996; 66(2): 95–109; discussion 109.
  9. Krishnan V, Davidovitch Z. On a path to unfolding the biological mechanisms of orthodontic tooth movement. J Dent Res. 2009; 88(7): 597–608.
  10. Kuijpers MAR, Chiu YT, Nada RM, et al. Three-dimensional imaging methods for quantitative analysis of facial soft tissues and skeletal morphology in patients with orofacial clefts: a systematic review. PLoS One. 2014; 9(4): e93442.
  11. Marinković S, Milić I, Djorić I, et al. Morphometric multislice computed tomography examination of the craniovertebral junction in neck flexion and extension. Folia Morphol. 2017; 76(1): 100–109.
  12. Nouri M, Abdi AH, Farzan A, et al. Measurement of the buccolingual inclination of teeth: manual technique vs 3-dimensional software. Am J Orthod Dentofacial Orthop. 2014; 146(4): 522–529.
  13. Pachêco-Pereira C, De Luca Canto G, Major PW, et al. Variation of orthodontic treatment decision-making based on dental model type: A systematic review. Angle Orthod. 2015; 85(3): 501–509.
  14. Rischen RJ, Breuning KH, Bronkhorst EM, et al. Records needed for orthodontic diagnosis and treatment planning: a systematic review. PLoS One. 2013; 8(11): e74186.
  15. Sadek MM, Sabet NE, Hassan IT, et al. Alveolar bone mapping in subjects with different vertical facial dimensions. Eur J Orthod. 2015; 37(2): 194–201.
  16. Salti L, Holtfreter B, Pink C, et al. Estimating effects of craniofacial morphology on gingival recession and clinical attachment loss. J Clin Periodontol. 2017; 44(4): 363–371.
  17. Sarikaya S, Haydar B, Ciğer S, et al. Changes in alveolar bone thickness due to retraction of anterior teeth. Am J Orthod Dentofacial Orthop. 2002; 122(1): 15–26.
  18. Swasty D, Lee J, Huang JC, et al. Cross-sectional human mandibular morphology as assessed in vivo by cone-beam computed tomography in patients with different vertical facial dimensions. Am J Orthod Dentofacial Orthop. 2011; 139(4 Suppl): e377–e389.
  19. Thilander B, Nyman S, Karring T, et al. Bone regeneration in alveolar bone dehiscences related to orthodontic tooth movements. Eur J Orthod. 1983; 5(2): 105–114.
  20. Wainwright WM. Faciolingual tooth movement: its influence on the root and cortical plate. Am J Orthod. 1973; 64(3): 278–302.
  21. Wennström JL. Mucogingival considerations in orthodontic treatment. Semin Orthod. 1996; 2(1): 46–54.
  22. Wise GE, King GJ. Mechanisms of tooth eruption and orthodontic tooth movement. J Dent Res. 2008; 87(5): 414–434.
  23. Zhang S, Wang X, Ren X, et al. Applications of digital technology for the morphological study of C3-C7 vertebral arch pedicle in children. Folia Morphol (Warsz). 2017; 76(3): 426–432.

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