Skip to main content

Classification of Jaw Malformations (Dysgnathias) in Craniofacially Malformed Patients

  • Chapter
  • First Online:
Fundamentals of Craniofacial Malformations
  • 185 Accesses

Abstract

Malocclusions, based on alterations in skull, jaw, or teeth morphology, affect individuals worldwide, resulting in compromised function and esthetics. Dental or skeletal malocclusion is caused by a distortion of the proper skull base and/or the mandibular and/or maxillary complex. Dysgnathic situations are very common; they can appear as birth defects or during growth in all racial populations. Classification systems of jaw malformations are in use by different persons or groups (clinicians, researchers, healthcare providers) to clarify and define clinical situations, help to standardize clinical treatments, and compare treatment outcomes. However, in patients with pronounced craniofacial abnormalities like craniosynostosis, branchial arch diseases, or orofacial clefts, standard dysgnathia analyses, recently used in diagnostics, are not suitable. As the disease-based altered anatomy has simultaneously a sagittal, vertical, or transversal aspect, 3D analysis is a necessity. Advances in craniofacial, jaw, and dental phenotyping by modern diagnostic approaches (CBCT, digital dental scan technology, and digital facial surface detection) together with modern matching algorithms can lead to a comprehensive characterization of hard and soft tissue variation in the craniofacial complex. It, together with a precise nomenclature of the malformation typing, allows a more precise classification of such patients. We propose a modified version of malocclusion (dysgnathia) classification for clinical and research purposes.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 139.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zelditch MLSD, Sheets HD. Geometric morphometrics for biologists: a primer, vol. 2012. London: Academic; 2012.

    Google Scholar 

  2. Angle EH. Classification of malocclusion. Dent Cosm. 1899;41:248–64.

    Google Scholar 

  3. Gateno J, Alfi D, Xia JJ, Teichgraeber JF. A geometric classification of jaw geometries. J Oral Maxillofac Surg. 2015;73(12 Suppl):S26–31.

    Article  PubMed  PubMed Central  Google Scholar 

  4. World Health Organization. International statistical classification of diseases and related health problems, vol. 2004. Geneva: World Health Organization; 2004.

    Google Scholar 

  5. American Medical Association. CD-10-CM 2015: the complete official codebook, vol. 2014. American Medical Association; 2014.

    Google Scholar 

  6. Jacobson A, Jacobson R. Radiographic cephalometry. 2nd ed. Quintessence; 2006. p. 3.

    Google Scholar 

  7. Duterloo H, Planché P. Handbook of cephalometric superimposition Hanover Park: Quintessence, c2011; 2011.

    Google Scholar 

  8. Albarakati SF, Kula KS, Ghoneima AA. The reliability and reproducibility of cephalometric measurements: a comparison of conventional and digital methods. Dentomaxillofac Radiol. 2012;41:11–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Devereux L, Moles D, Cunningham SJ, McKnight M. How important are lateral cephalometric radiographs in orthodontic treatment planning? Am J Orthod Dentofac Orthop. 2011;139:175–81.

    Article  Google Scholar 

  10. Nijkamp P, Habets L, Aartman I, Zentner A. The influence of cephalometrics on orthodontic treatment planning. Eur J Orthod. 2008;30:630–5.

    Article  PubMed  Google Scholar 

  11. Atchison K, Luke L, White SC. Contribution of pretreatment radiographs to orthodontists’ decision making. Oral Surg Oral Med Oral Pathol. 1991;71:238–45.

    Article  CAS  PubMed  Google Scholar 

  12. Bruks A, Enberg K, Nordqvist I, Hansson AS, Jansson L, Svenson B. Radiographic examinations as an aid to orthodontic diagnosis and treatment planning. Swed Dent J. 1999;23:77–85.

    CAS  PubMed  Google Scholar 

  13. Pae EK, McKenna GA, Sheehan TJ, Garcia R, Kuhlberg A, Nanda R. Role of lateral cephalograms in assessing severity and difficulty of orthodontic cases. Am J Orthod Dentofacial Orthop. 2001;120:254–62.

    Article  CAS  PubMed  Google Scholar 

  14. Graber TM, Vanarsdall RL. Orthodontics: current principles and techniques. 2nd ed. St. Louis: Mosby; 1994. p. 48–52.

    Google Scholar 

  15. Silling G, Rauch MA, Pentel L, Garfinkel L, Halberstadt G. The significance of cephalometrics in treatment planning. Angle Orthod. 1979;49:259–62.

    CAS  PubMed  Google Scholar 

  16. Haynes S, Chau MNY. Inter- and intra-observer identification of landmarks used in the Delaire analysis. Eur J Orthod. 1993;15:79–84.

    Article  CAS  PubMed  Google Scholar 

  17. Doberschütz PH, Schwahn C, Kray KF. Cephalometric analyses for cleft patients: a statistical approach to compare the variables of Delaire’s craniofacial analysis to Bergen analysis. Clin Oral Investig. 2022;26:353–64.

    Article  PubMed  Google Scholar 

  18. Houston WJB, Maher RE, McElroy D, Sherriff M. Sources of error in measurements from cephalometric radiographs. Eur J Orthod. 1986;8:149–51.

    Article  CAS  PubMed  Google Scholar 

  19. Lippold C, Danesh G, Meyer U, et al. Potential and limitations of cephalometric analysis of maxillofacial bone movement in the case of LeFort III-distraction. J Orofac Orthop. 2005;66:388–96.

    Article  PubMed  Google Scholar 

  20. Swennen GR, Schutyser F. Three-dimensional cephalometry: spiral multi-slice vs cone-beam computed tomography. Am J Orthod Dentofac Orthop. 2006;130:410–6.

    Article  Google Scholar 

  21. Jacobson RL. Three dimensional cephalometry. In: Jacobson A, Jacobson RL, editors. Radiographic cephalometry: from basics to 3-D imaging. 2nd ed. Hanover Park: Quintessence Publishing Co Inc.; 2006. p. 233–47.

    Google Scholar 

  22. De Oliveira AE, Cevidanes LH, Phillips C, Motta A, Burke B, Tyndall D. Observer reliability of three-dimensional cephalometric landmark identification on cone beam computed tomography. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2009;107:256–65.

    Article  PubMed  Google Scholar 

  23. Kusnoto B, Evans CA, BeGole EA, de Rijk W. Assessment of 3-dimensional computer-generated cephalometric measurements. Am J Orthod Dentofac Orthop. 1999;116:390–9.

    Article  CAS  Google Scholar 

  24. Medelnik J, Hertrich K, Steinhäuser-Andresen S, Hirschfelder U, Hofmann E. Accuracy of anatomical landmark identification using different CBCT- and MSCT-based 3D images: an in vitro study. J Orofac Orthop. 2011;72:261–78.

    Article  PubMed  Google Scholar 

  25. Gateno J, Xia JJ, Teichgraeber JF. Effect of facial asymmetry on 2-dimensional and 3-dimensional cephalometric measurements. J Oral Maxillofac Surg. 2011;69:655–62.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Damstra J, Fourie Z, De Wit M, Ren Y. A three-dimensional comparison of a morphometric and conventional cephalometric midsagittal planes for craniofacial asymmetry. Clin Oral Investig. 2012;16:285–94.

    Article  PubMed  Google Scholar 

  27. Lee J-K, Jung P-K, Moon C-H. Three-dimensional cone beam computed tomographic image reorientation using soft tissues as reference for facial asymmetry diagnosis. Angle Orthod. 2014;84:38–47.

    Article  PubMed  Google Scholar 

  28. Hwang H, Yuan D, Jeong K, Uhm G, Cho J, Yoon S. Three-dimensional soft tissue analysis for the evaluation of facial asymmetry in normal occlusion individuals. Korean J Orthod. 2012;42:56–63.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Kook Y-A, Kim Y. Evaluation of facial asymmetry with three-dimensional cone-beam computed tomography. J Clin Orthod. 2011;45:112–5.

    PubMed  Google Scholar 

  30. Meyer-Marcotty P, Stellzig-Eisenhauer A, Bareis U, Hartmann J, Kochel J. Three-dimensional perception of facial asymmetry. Eur J Orthod. 2011;33:647–53.

    Article  PubMed  Google Scholar 

  31. Hwang H-S, Hwang CH, Lee K-H, Kang B-C. Maxillofacial 3- dimensional image analysis for the diagnosis of facial asymmetry. Am J Orthod Dentofac Orthop. 2006;130:779–85.

    Article  Google Scholar 

  32. You K-H, Lee K-J, Lee S-H, Baik H-S. Three-dimensional computed tomography analysis of mandibular morphology in patients with facial asymmetry and mandibular prognathism. Am J Orthod Dentofac Orthop. 2010;138:540.e1–8; discussion 540–1.

    Article  Google Scholar 

  33. Katsumata A, Fujishita M, Maeda M, Ariji Y, Ariji E, Langlais RP. 3D-CT evaluation of facial asymmetry. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2005;99:212–20.

    Article  PubMed  Google Scholar 

  34. Netherway DJ, Abbott AH, Gulamhuseinwala N, McGlaughlin KL, Anderson PJ, Townsend GC, David DJ. Three-dimensional computed tomography cephalometry of plagiocephaly: asymmetry and shape analysis. Cleft Palate Craniofac J. 2006;43:201–10.

    Article  CAS  PubMed  Google Scholar 

  35. Maeda M, Katsumata A, Ariji Y, Muramatsu A, Yoshida K, Goto S, Kurita K, Ariji E. 3D-CT evaluation of facial asymmetry in patients with maxillofacial deformities. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2006;102:382–90.

    Article  PubMed  Google Scholar 

  36. Yáñez-Vico RM, Iglesias-Linares A, Torres-Lagares D, Gutiérrez-Pérez JL, Solano-Reina E. Three-dimensional evaluation of craniofacial asymmetry: an analysis using computed tomography. Clin Oral Investig. 2011;15:729–36.

    Article  PubMed  Google Scholar 

  37. Damstra J, Oosterkamp BCM, Jansma J, Ren Y. Combined 3- dimensional and mirror-image analysis for the diagnosis of asymmetry. Am J Orthod Dentofac Orthop. 2011;140:886–94.

    Article  Google Scholar 

  38. Park JU, Kook Y-A, Kim Y. Assessment of asymmetry in a normal occlusion sample and asymmetric patients with three-dimensional cone beam computed tomography: a study for a transverse reference plane. Angle Orthod. 2012;82:860–7.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Kwon SM, Hwang JJ, Jung Y-H, Cho B-H, Lee K-J, Hwang C-J, Choi S-H. Similarity index for intuitive assessment of three-dimensional facial asymmetry. Sci Rep. 2019;9:10959.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Park JH, Tai K, Owtad P. 3-dimensional cone-beam computed tomography superimposition: a review. Semin Orthod. 2015;21(4):263–73.

    Article  Google Scholar 

  41. Steuer I. The cranial base for superimposition of lateral cephalometric radiographs. Am J Orthod. 1972;61(5):493–500.

    Article  CAS  PubMed  Google Scholar 

  42. Cevidanes LH, Heymann G, Cornelis MA, DeClerck HJ, Tulloch JF. Superimposition of 3-dimensional cone-beam computed tomography models of growing patients. Am J Orthod Dentofac Orthop. 2009;136(1):94–9.

    Article  Google Scholar 

  43. Gkantidis N, Schauseil M, Pazera P, Zorkun B, Katsaros C, Ludwig B. Evaluation of 3-dimensional superimposition techniques on various skeletal structures of the head using surface models. PLoS One. 2015;10(2):1–20.

    Article  Google Scholar 

  44. Lee JH, Kim MJ, Kim SM, Kwon OH, Kim YK. The 3D CT superimposition method using image fusion based on the maximum mutual information algorithm for the assessment of oral and maxillofacial surgery treatment results. Oral Surg Oral Med Oral Pathol Oral Radiol. 2012;114(2):167–74.

    Article  PubMed  Google Scholar 

  45. Hwang JJ, Kim KD, Park H, Park CS, Jeong HG. Factors influencing superimposition error of 3D cephalometric landmarks by plane orientation method using 4 reference points: 4 point superimposition error regression model. PLoS One. 2014;9(11):e110665.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Lagravère M, Major P, Carey J. Sensitivity analysis for plane orientation in three-dimensional cephalometric analysis based on superimposition of serial cone beam computed tomography images. Dentomaxillofac Radiol. 2010;39:400–8.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Nada RM, Maal TJ, Breuning KH, Bergé SJ, Mostafa YA, Kuijpers-Jagtman AM. Accuracy and reproducibility of voxel based superimposition of cone beam computed tomography models on the anterior cranial base and the zygomatic arches. PLoS One. 2011;6(2):e16520.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  48. LeCun Y, Bengio Y, Hinton G. Deep learning. Nature. 2015;521(7553):436–44. https://doi.org/10.1038/nature14539.

    Article  CAS  PubMed  Google Scholar 

  49. Schwendicke F, Samek W, Krois J. Artificial intelligence in dentistry: chances and challenges. J Dent Res. 2020;99(7):769–74. https://doi.org/10.1177/0022034520915714.

    Article  CAS  PubMed  Google Scholar 

  50. Schwendicke F, Golla T, Dreher M, Krois J. Convolutional neural networks for dental image diagnostics: a scoping review. J Dent. 2019;91:103226.

    Article  PubMed  Google Scholar 

  51. Schwendicke F, Chaurasia A, Arsiwala L, Lee J-H, Elhennawy K, Jost-Brinkmann P-G, Demarco F, Krois J. Deep learning for cephalometric landmark detection: systematic review and meta-analysis. Clin Oral Investig. 2021;25(7):4299–309.

    Article  PubMed  PubMed Central  Google Scholar 

  52. Walsh T. Fuzzy gold standards: approaches to handling an imperfect reference standard. J Dent. 2018;74(Suppl 1):S47–9.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ulrich Meyer .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Meyer, U. (2023). Classification of Jaw Malformations (Dysgnathias) in Craniofacially Malformed Patients. In: Meyer, U. (eds) Fundamentals of Craniofacial Malformations. Springer, Cham. https://doi.org/10.1007/978-3-031-28069-6_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-28069-6_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-28068-9

  • Online ISBN: 978-3-031-28069-6

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics