Anusuya Venkatachalapathy, Sharan Jitendra, Jena Ashok Kumar
Department of Dentistry, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
Department of Dentistry, Central Sterile Services Department, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.
J Craniovertebr Junction Spine. 2020 Apr-Jun;11(2):75-80. doi: 10.4103/jcvjs.JCVJS_51_20. Epub 2020 Jun 5.
The objective was to evaluate the prevalence of cervical vertebra anomalies (CVA) in individuals with different sagittal and vertical skeletal growth patterns of jaws and also to establish the associations of anomalies with the type of growth, if any.
A total of 293 lateral cephalograms were evaluated for CVA. Based on the Frankfort mandibular plane angle, cephalograms were categorized into three groups: Group I, II, and III. Based on the ANB angle, cephalograms were classified into three classes, Class 1, 2, and 3. Six types of CVA such as partial cleft (PC), block fusion (BF), dehiscence (D), fusion between C2 and C3 (F23), occipitalization (OC), and spina bifida (SB) were identified on lateral cephalograms. Descriptive statistics were applied along with multinomial logistic regression analysis. = 0.05 was considered as the level of statistical significance.
PC was most common in the overall samples (36%). BF was the least common (3.2%) CVA. The frequency of various CVA was comparable between males and females in all the three classes of individuals. The association of vertical growth patterns with CVA was found to be statistically nonsignificant ( > 0.05). Class 2 malocclusion was found to be statistically significantly associated with the D ( = 0.043).
PC, fusion, and D were the most frequently found CVA, and SB was found only among the hypodivergent growth pattern individuals. The association of CVA with vertical facial growth patterns was not significant, somewhat influenced by age, sex, and sagittal skeletal malocclusions.
评估具有不同颌骨矢状和垂直骨骼生长模式的个体中颈椎异常（CVA）的患病率，并确定异常与生长类型之间的关联（如有）。
共评估了293张头颅侧位片以检测CVA。根据法兰克福下颌平面角，头颅侧位片被分为三组：第一组、第二组和第三组。根据ANB角，头颅侧位片被分为三类：1类、2类和3类。在头颅侧位片上识别出六种类型的CVA，如部分裂（PC）、块状融合（BF）、裂开（D）、C2和C3之间融合（F23）、枕化（OC）和脊柱裂（SB）。应用描述性统计以及多项逻辑回归分析。α = 0.05被视为统计学显著性水平。
PC在总体样本中最常见（36%）。BF是最不常见的CVA（3.2%）。在所有三类个体中，男性和女性各种CVA的发生率相当。垂直生长模式与CVA之间的关联在统计学上无显著性（P > 0.05）。发现2类错牙合与D在统计学上有显著关联（P = 0.043）。
PC、融合和D是最常发现的CVA，而SB仅在生长低角型个体中发现。CVA与垂直面部生长模式之间的关联不显著，在一定程度上受年龄、性别和矢状骨骼错牙合的影响。
