Assessing jaw position in the sagittal plane using a digital diagnostic platform based on unique human landmarks: a cross-sectional study

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Abstract

BACKGROUND: Sagittal occlusal anomalies (distal and mesial occlusion) rank first among all dentoalveolar and maxillofacial anomalies. The absence of consensus among specialists regarding diagnosis and treatment planning underscores the need for further investigation. A stable extracranial landmark, such as the forehead and the soft-tissue glabella point, enables determination of an optimal sagittal jaw position within the cranial space that is unique for each patient. However, the assessment of optimal sagittal jaw position relative to the forehead relies on manual diagnostic gauges and templates that are difficult to access. As a result, studies involving unique human landmarks in the evaluation of dentoalveolar and maxillofacial anomalies have remained largely inaccessible to clinicians. A new diagnostic platform for assessing sagittal jaw position using 3D facial photography may address this limitation. As new diagnostic approaches become available, the need arises to compare manual and software-based methods for evaluating sagittal jaw position.

AIM: The work aimed to compare a manual method with a new digital method for determining optimal jaw position in the sagittal plane.

METHODS: The study was conducted at the MOSORTO Orthodontic Clinic and based at the UNIDENT dental clinic network from March 1 to October 31, 2025. A total of 50 patients (25 men and 25 women) aged 18–50 years (mean age 32.0 ± 3.4 years) with skeletal occlusal anomalies in the sagittal plane were examined. All participants underwent diagnostics and orthodontic treatment planning based on unique human landmarks (Six Elements of Orofacial Harmony), first using a manual method and then with a new digital diagnostic platform. Both methods (manual and software-based) were compared across six parameters.

RESULTS: Correlation analysis (Spearman rank correlation coefficient) demonstrated a statistically significant positive correlation across all parameters (p < 0.0001). For most measurements, the error ranged from 3% to 8%.

CONCLUSION: The new diagnostic platform for assessing sagittal jaw position based on unique human landmarks using 3D facial photography is comparable with the manual method for diagnostic purposes and treatment planning of dentoalveolar anomalies in the sagittal plane.

About the authors

Dmitry R. Orlovskiy

Orthodontics Clinic MOSORTO

Author for correspondence.
Email: orthodont@inbox.ru
ORCID iD: 0009-0006-2997-4249
SPIN-code: 1541-5740

MD

Russian Federation, Moscow

Nikolay S. Tuturov

Peoples’ Friendship University of Russia

Email: ntuturov@mail.ru
ORCID iD: 0000-0001-8048-5703
SPIN-code: 4892-3880

MD, Dr. Sci. (Medicine), Associate Professor

Russian Federation, Moscow

Valery A. Tugarin

Russian University of Medicine

Email: v.tugarin@rambler.ru
ORCID iD: 0009-0008-5234-0951
SPIN-code: 1020-5129

MD, Cand. Sci. (Medicine), Associate Professor

Russian Federation, Moscow

Ahmad Saleh

Peoples’ Friendship University of Russia

Email: da7madsaleh2024@gmail.com
ORCID iD: 0000-0002-9597-3109

MD

Russian Federation, Moscow

References

  1. Simakova AA, Gorbatova LN, Gorbatova MA, et al. Systematic review of the prevalence of dentoalveolar anomalies in adults in Russia and other former soviet republics. Ortodontiâ. 2022;(4):6–11. EDN: XBIIOG
  2. Shiryaeva TV, Oborotistov NY, Polma LV, Persin LS. Estimation results of treatment of distal occlusion with twin block appliance. Ortodontiâ. 2021;(4):28–35. EDN: ECDRFX
  3. Mykhailovska L. Relationship between distal bite with different etiological factors and morphofunctional condition of the jaw-facial area. Norwegian Journal of development of the International Science. 2020;(47-1):12–15. EDN: WLVHLM
  4. Moss JP, Linney AD, Lowey MN. The use of three-dimensional techniques in facial esthetics. Semin Orthod. 1995;1(2):94–104. doi: 10.1016/s1073-8746(95)80096-4
  5. Arnett GW, Gunson MJ. Facial planning for orthodontists and oral surgeons. Am J Orthod Dentofacial Orthop. 2004;126(3):290–295. doi: 10.1016/j.ajodo.2004.06.006
  6. Danielova BG, Persin LS, Pankratova NV. Extrafacial parameters of head telerentigenograms in lateral projection for assessing the morphological state of the dentofacial system in patients with distal occlusion. Ortodontiâ. 2022;(3):42. EDN: FZICWW
  7. Andrews LF. The 6-elements orthodontic philosophy: Treatment goals, classification, and rules for treating. Am J Orthod Dentofacial Orthop. 2015;148(6):883–887. doi: 10.1016/j.ajodo.2015.09.011
  8. Andrews WA. AP relationship of the maxillary central incisors to the forehead in adult white females. Angle Orthod. 2008;78(4):662–669. doi: 10.2319/0003-3219(2008)078[0662:AROTMC]2.0.CO;2
  9. Rodriguez-Tarma ZA, Estrada-Vitorino MA, Carruitero MJ, et al. A new instrument to clinically evaluate the anteroposterior relationship of the maxillary central incisors to the forehead. J World Fed Orthod. 2022;11(5):176–180. doi: 10.1016/j.ejwf.2022.07.001 EDN: TIFBCK
  10. Patent RUS No. 2024612945/07.02.2024. Orlovskiy DR, Orlovskaia IE, Mamaev RR, et al. Digital version of the frontal plane of the head indicator. (In Russ.) EDN: UCURZS
  11. Patent RUS No. 2848632/21.10.2025. Orlovskiy DR, Bessonov CH, Shorstov YV, et al. A method of computer orthodontic diagnostics. (In Russ.) EDN: SVLLCP
  12. Doughan M, Itani JK, Tremont T, Stappert D. Optimal anteroposterior position of the maxillary central incisors and its relationship to the forehead in adult Asian males. Am J Orthod Dentofacial Orthop. 2025;167(5):604–610. doi: 10.1016/j.ajodo.2024.12.008
  13. Kolesov MA, Maitesyan GD. Review and selection criteria of medical elements in patients with deep overbite/overjet in combination with sagittal malocclusion. Ortodontiâ. 2020;(1):21–34. EDN: QFPPOO

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