Habumugisha Janvier, Ida Sumire, Nakamura Masahiro, Kono Kana, Uchida Kenta, Moriya Takumi, Konko Megumi, Hayano Satoru, Izawa Takashi, Kamioka Hiroshi
Department of Orthodontics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Department of Orthodontics, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Int Dent J. 2025 Apr;75(2):1319-1326. doi: 10.1016/j.identj.2024.09.023. Epub 2024 Oct 10.
To determine the intricate associations between soft palate dimensions, pharyngeal airway lumen area, the minimal constricted area of the airway (MinAx), and pharyngeal airway volume in subjects with diverse vertical skeletal patterns, and to develop prediction models that could help clinicians predict upper airway volume using soft palate dimensions, airway lumen dimensions, and MinAx.
Pre-treatment lateral cephalometric radiographs and magnetic resonance imaging (MRI) scans of 80 women were classified into three vertical skeletal groups based on Frankfort-mandibular plane angle (FMA angle): hypodivergent (FMA < 26.9°, n = 26), normodivergent (26.9°≤ FMA ≤ 34.1°, n = 29), and hyperdivergent (FMA > 34.1°, n = 25). Soft palate dimensions, pharyngeal airway lumen data, MinAx, retropalatal airway volume (RPV), and retroglossal airway volume (RGV) data were measured using MRI. Forward multiple linear regression was used to predict pharyngeal airway volumes.
Among the eight predictive models developed, six exhibited strong performance, explaining 50%-77% of the variability in airway volumes. MinAx, RPV, and total pharyngeal airway volume (TPV) were considerably higher in hypodivergent subjects than in hyperdivergent subjects. Hyperdivergent subjects had a longer soft palate length (SPL) than normodivergent and hypodivergent subjects.
The present study highlights the necessity of considering soft palate dimensions and airway characteristics in orthodontic treatment planning, especially for patients with varying vertical skeletal patterns. Understanding these relationships can help in predicting potential airway issues and customising treatment plans accordingly.
确定不同垂直骨骼类型受试者的软腭尺寸、咽气道腔面积、气道最小狭窄面积（MinAx）与咽气道容积之间的复杂关联，并开发能够帮助临床医生利用软腭尺寸、气道腔尺寸和MinAx预测上气道容积的预测模型。
根据法兰克福下颌平面角（FMA角），将80名女性治疗前的头颅侧位X线片和磁共振成像（MRI）扫描结果分为三个垂直骨骼组：低角型（FMA<26.9°，n=26）、均角型（26.9°≤FMA≤34.1°，n=29）和高角型（FMA>34.1°，n=25）。使用MRI测量软腭尺寸、咽气道腔数据、MinAx、腭后气道容积（RPV）和舌后气道容积（RGV）数据。采用向前多元线性回归预测咽气道容积。
在所开发的八个预测模型中，有六个表现出较强的性能，解释了气道容积变异性的50%-77%。低角型受试者的MinAx、RPV和总咽气道容积（TPV）明显高于高角型受试者。高角型受试者的软腭长度（SPL）比均角型和低角型受试者长。
本研究强调了在正畸治疗计划中考虑软腭尺寸和气道特征的必要性，特别是对于具有不同垂直骨骼类型的患者。了解这些关系有助于预测潜在的气道问题并相应地定制治疗计划。
