Визначення поширеності патологічних видів прикусу та антропометричний аналіз цифрових діагностичних моделей у пацієнтів із затримкою прорізування іклів верхньої щелепи

K. Lykhota; O. Yakush

doi:10.33295/1992-576X-2025-5-77

Authors

K. Lykhota Shupyk National Healthcare University of Ukraine, Kyiv, Ukraine https://orcid.org/0000-0003-0912-6470
O. Yakush Shupyk National Healthcare University of Ukraine, Kyiv, Ukraine https://orcid.org/0009-0008-6212-753X

DOI:

https://doi.org/10.33295/1992-576X-2025-5-77

Keywords:

dento-maxillary system, delayed canine eruption, occlusion pathology, anthropometry, digital diagnostic models

Abstract

Introduction. Delayed eruption of maxillary canines is a common clinical problem that usually requires an interdisciplinary approach. Surgical exposure of the impacted tooth and complex orthodontic mechanisms used to align it in the arch can lead to varying degrees of damage to the tooth’s supporting structures, not to mention the long treatment period and financial burden on the patient. Therefore, it seems appropriate to focus on means of early diagnosis and prevention of this clinical situation.
The use of modern computer technologies accelerates the diagnostic process, enables highly accurate anthropometric analysis of digital diagnostic models, and systematizes the resulting diagnostic information.
It also gives the doctor a more detailed diagnosis, which speeds up and facilitates the treatment plan. Modern digital and additive technologies allow the patient to see the treatment plan before and after.
Objective: To determine the prevalence of pathological occlusion types and conduct anthropometric analysis of digital diagnostic models in patients with delayed eruption of maxillary canines.
Material and methods. A thorough clinical analysis of maxillofacial condition and an anthropometric analysis of virtual diagnostic models of the dentition were conducted for 162 patients who sought orthodontic care for delayed eruption of upper canines. Occlusal pathology was assessed according to the Angle classification.
Digital diagnostic models were created based on the doctor’s impressions of the teeth and subsequent scanning of plaster models of the dentition. Digital diagnostic models were examined by dividing the dentition into segments: anterior (upper and lower), lateral (right and left, upper and lower).
Conclusion: The results of multiple regression analysis indicated that palatal depth, arch width in the canine region, and length of the DD were significantly associated with impacted canines, while dental arch width at the level of the first permanent molar was not significantly associated with delayed canine eruption.

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