A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns

Objective: 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. Materials and Methods: A total of 293...

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Main Authors: Venkatachalapathy Anusuya, Jitendra Sharan, Ashok Kumar Jena
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Craniovertebral Junction and Spine
Subjects:
Online Access:http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=2;spage=75;epage=80;aulast=Anusuya
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spelling doaj-74be3f4f80c8428b9748eacc5964ffa12020-11-25T03:44:25ZengWolters Kluwer Medknow PublicationsJournal of Craniovertebral Junction and Spine0974-82372020-01-01112758010.4103/jcvjs.JCVJS_51_20A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patternsVenkatachalapathy AnusuyaJitendra SharanAshok Kumar JenaObjective: 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. Materials and Methods: 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. P = 0.05 was considered as the level of statistical significance. Results: 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 (P > 0.05). Class 2 malocclusion was found to be statistically significantly associated with the D (P = 0.043). Conclusions: 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.http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=2;spage=75;epage=80;aulast=Anusuyacervical vertebral anomalieslateral cephalogramssagittal growth patternvertical growth pattern
collection DOAJ
language English
format Article
sources DOAJ
author Venkatachalapathy Anusuya
Jitendra Sharan
Ashok Kumar Jena
spellingShingle Venkatachalapathy Anusuya
Jitendra Sharan
Ashok Kumar Jena
A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
Journal of Craniovertebral Junction and Spine
cervical vertebral anomalies
lateral cephalograms
sagittal growth pattern
vertical growth pattern
author_facet Venkatachalapathy Anusuya
Jitendra Sharan
Ashok Kumar Jena
author_sort Venkatachalapathy Anusuya
title A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
title_short A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
title_full A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
title_fullStr A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
title_full_unstemmed A study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
title_sort study of cervical vertebra anomalies among individuals with different sagittal and vertical facial growth patterns
publisher Wolters Kluwer Medknow Publications
series Journal of Craniovertebral Junction and Spine
issn 0974-8237
publishDate 2020-01-01
description Objective: 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. Materials and Methods: 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. P = 0.05 was considered as the level of statistical significance. Results: 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 (P > 0.05). Class 2 malocclusion was found to be statistically significantly associated with the D (P = 0.043). Conclusions: 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.
topic cervical vertebral anomalies
lateral cephalograms
sagittal growth pattern
vertical growth pattern
url http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=2;spage=75;epage=80;aulast=Anusuya
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