Paddenberg Eva, Dees Adrian, Proff Peter, Kirschneck Christian
Department of Orthodontics, University Hospital Regensburg, Franz-Josef-Strauß-Allee 11, 93053, Regensburg, Germany.
J Orofac Orthop. 2024 May;85(3):199-212. doi: 10.1007/s00056-022-00431-5. Epub 2022 Oct 14.
Chronological age often differs from dental and skeletal age. With orthopantomograms and lateral cephalograms, dental and skeletal development can be determined according to the methods published by Demirjian et al. and Baccetti et al. However, gender and skeletal class as possible confounders were frequently not considered and available norm values are not up-to-date. This retrospective cross-sectional study thus aimed to evaluate effects of skeletal class and gender on dental and skeletal age of growing patients and to generate updated norm values for contemporary Central-European patients.
A total of 551 patients were included in the dental and 733 in the skeletal age assessment, respectively. Dental analysis was based on tooth mineralisation stages in orthopantomograms (Demirjian) and skeletal age was defined by cervical vertebrae maturation stages (CVMS) in lateral cephalograms (Baccetti). Skeletal class was determined by the individualised ANB angle of Panagiotidis/Witt. With nonlinear regression analysis a formula for determining dental age was established. Effects of gender and skeletal class were evaluated and updated norm values generated.
Inter- and intrarater reliability tests revealed at least substantial measurement concordance for tooth mineralisation and CVMS. Demirjian stages and CVMS significantly depended on gender with girls developing earlier. Skeletal class significantly affected skeletal age only, but without clinical relevance. Updated norm values for dental age differed significantly from the original values of Demirjian and the values for skeletal age differed from those published by Baccetti.
Optimised norms, separated by gender, increase precision in determining individual dental and skeletal age during orthodontic treatment planning. Further studies analysing the effect of skeletal class on dental and skeletal development are needed.
实际年龄往往与牙齿和骨骼年龄不同。借助全景X线片和头颅侧位片,可以根据德米尔坚等人以及巴切蒂等人发表的方法来确定牙齿和骨骼的发育情况。然而,性别和骨骼类型作为可能的混杂因素常常未被考虑,且现有的标准值也已过时。因此,这项回顾性横断面研究旨在评估骨骼类型和性别对生长发育期患者牙齿和骨骼年龄的影响,并为当代中欧患者生成更新的标准值。
分别有551例患者纳入牙齿年龄评估,733例纳入骨骼年龄评估。牙齿分析基于全景X线片上的牙齿矿化阶段(德米尔坚法),骨骼年龄则通过头颅侧位片上的颈椎成熟阶段(CVMS)来定义(巴切蒂法)。骨骼类型由帕纳吉奥蒂斯/维特个体化的ANB角确定。通过非线性回归分析建立了一个确定牙齿年龄的公式。评估了性别和骨骼类型的影响,并生成了更新的标准值。
评分者间和评分者内可靠性测试显示,牙齿矿化和CVMS至少具有较高的测量一致性。德米尔坚阶段和CVMS显著依赖于性别,女孩发育更早。骨骼类型仅对骨骼年龄有显著影响,但无临床相关性。牙齿年龄的更新标准值与德米尔坚的原始值有显著差异,骨骼年龄的值与巴切蒂发表的值也不同。
按性别区分的优化标准提高了正畸治疗计划中确定个体牙齿和骨骼年龄的准确性。需要进一步研究分析骨骼类型对牙齿和骨骼发育的影响。