scholarly journals Chronological Age in Different Bone Development Stages: A Retrospective Comparative Study

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 142
Author(s):  
Abel Emanuel Moca ◽  
Luminița Ligia Vaida ◽  
Rahela Tabita Moca ◽  
Anamaria Violeta Țuțuianu ◽  
Călin Florin Bochiș ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Comparative Study ◽  
Bone Development ◽  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Chronological Age ◽  
Exclusion Criteria ◽  
Development Stages ◽  
Retrospective Comparative Study ◽  
Cervical Vertebral Maturation

The assessment of an individual’s development by investigating the skeletal maturity is of much use in various medical fields. Skeletal maturity can be estimated by evaluating the morphology of the cervical vertebrae. The aim of this study was to conduct comparisons of the chronological age in different bone development stages. The retrospective study was conducted based on lateral cephalometric radiographs belonging to patients with ages between 6 and 15.9 years, from Romania. For the assessment of skeletal maturity, the Cervical Vertebral Maturation (CVM) method was used. In total, 356 radiographs were selected, but after applying the exclusion criteria, 252 radiographs remained in the study (178 girls and 74 boys). Different mean chronological age values were obtained for the general sample, as well as for the two genders. The chronological age started to be significantly different at the CS4 stage. Patients with CS4, CS5, and CS6 stages had a significantly higher chronological age compared to patients with CS1, CS2, and CS3 stages. It was noted that patients with CS1 and CS2 stages were more frequently boys, while patients with the CS5 stage were more frequently girls.

scholarly journals Correlation between Chronological Age, Cervical Vertebral Maturation and Fishman’s Skeletal Maturity Indicators in Central India Population

2019 ◽  
Vol 9 (2) ◽  
pp. 52-56
Author(s):  
Natasha Patil ◽  
Neha Maheshwari ◽  
Rohit Sharma ◽  
Shashank Soni ◽  
Ashish Kushwah
Keyword(s):  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Rank Correlation ◽  
Cervical Vertebra ◽  
Central India ◽  
Growth Period ◽  
Growth Spurt ◽  
Chronological Age ◽  
Spearman Rank Correlation Analysis ◽  
Cervical Vertebral Maturation

Introduction: Skeletal maturity indicators are very important indicators when diagnosing and panning the treatment in growing population. Cervical Vertebrae Method (CVM) and Fishman’s Skeletal Maturity Indicators are two commonly used methods for the diagnosis and treatment planning. The aim of the study was to investigate the correlation between cervical vertebral maturation (CVM)and Fishman’s hand-wrist skeletal maturity indicator and chronological age by including subjects within the range of circumpubertal growth spurt in Central India. Materials & Method: One Twenty Five contemporary hand-wrist and lateral cephalometric radiographs from population of Central India were randomly selected and analyzed. All subjects were within the circumpubertal period i.e. female subjects were between 10 and 15 years of age, and the male subjects were between 12 and 17 years of age. The hand-wrist bone analysis was evaluated using the method developed by Fishman whereas cervical vertebra bone analysis was evaluated using the method developed by Baccetti and co-workers. These two methods and chronological age were correlated using the Spearman rank correlation analysis. Result: CVM was significantly correlated with hand-wrist maturation (r=0.8868). However low correlation was found between the CVM and chronological age( r =0.7139) and little correlation was found between the HWM and chronological age ( r =0.6892). Conclusion: CVM is a valid indicator of skeletal growth during the circumpubertal growth period and has a high correlation with the HWM for the Central India population. However chronological age is not suitable to measure skeletal maturity as shown by the low correlations found between the chronological age and both CVM and HWM.

scholarly journals Correlation between chronological age and skeletal age using CVMI and modified MP3 methods

2020 ◽  
Vol 16 (12) ◽  
pp. 1045-1050
Author(s):  
Ravindra Kumar Jain ◽  
Keyword(s):  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Skeletal Age ◽  
Chronological Age ◽  
Accurate Estimation ◽  
P Value ◽  
Positive Correlation ◽  
Lateral Cephalograms ◽  
Rough Approximation ◽  
Method R

Chronological age conveys only a rough approximation of the maturational status of a person whereas skeletal maturity indicators give a more accurate estimation. Therefore, it is of interest to document the correlation between chronological and skeletal age using CVMI and modified MP3 methods. A total of 39 subjects between the age ranges of 9-16 years were selected for this study. Pre-treatment lateral cephalograms and hand-wrist radiographs of the subjects were used. The skeletal age was analyzed by the Cervical Vertebrae Maturity Index (CVMI) and modified MP3 methods. The data was analyzed with SPSS software version 23.00. Kendall’s Tau correlation test was performed to estimate the correlation between chronological age and skeletal age among the subjects and a linear regression test was also performed. Positive correlation was found between chronological age and skeletal age assessed by CVMI method (r= 0.398) and modified MP3 method (r=0.382) with p value <0.003. Thus it can be concluded that there was a positive correlation between chronological age and skeletal age among all the subjects.

Correlation between different methods of assessing bone maturation

2021 ◽  
Vol 20 (1) ◽  
pp. 75
Author(s):  
Daniela Correia Cavalcante Souza ◽  
Marina Tavares Costa Nóbrega ◽  
Andressa Cavalcanti Pires ◽  
Rosa Helena Wanderley Lacerda
Keyword(s):  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Assessment Methods ◽  
Skeletal Maturation ◽  
Chronological Age ◽  
Bone Maturation ◽  
Matlab Program ◽  
Maturation Stages ◽  
Maturation Index ◽  
Dental Mineralization

<p><strong>Introduction</strong>: the skeletal maturity of na individual can be evaluated through different methods and it is an important tool to the<br />diagnostic and treatment in othodontics. <strong>Objective</strong>: to verify the correlation between different methods of assessing bone maturation:<br />Carpal Maturation Index (CMI), Cervical Vertebrae Maturation Stages (CVM) and Dental Mineralization Stages (DM). <strong>Methodology</strong>:<br />the sample consisted of digitalized images of cephalometric, panoramic and hand and wrist radiographs of 73 patients. 50 were<br />selected for analysis. Two examiners were properly calibrated, through images analysis from another database. Inter and intraexaminer<br />reliability was measured by Kappa coefficient. The images were assessed according to Fishman (1982), Baccetti, Franchi and<br />McNamara Junior (2002) and Nolla (1960) methods. All images were coded and data of all analyzes was transferred to spreadsheets.<br />The data was processed in Matlab program for Windows, version 7.10.0, and analyzed using descriptive and inferential statistics.<br /><strong>Results</strong>: the results demonstrated a positive correlation among bone maturity methods (CMI, CVM and DM), as well as between those<br />methods and chronological age. Females showed precocity in reaching the stages of skeletal maturation indicators and CVM compared<br />to males. It was observed that there was a correspondence between maturation methods for both genders. <strong>Conclusion</strong>: there was<br />a correlation between skeletal maturation assessment methods and dental mineralization in patients. Significant differences were<br />observed between genders for skeletal maturity assessment methods. There was a relation between the methods used for skeletal<br />maturation and dental mineralization, as well as chronological age.</p>

scholarly journals Comparison of abnormalities in the sequence of growth stages in the skeletal maturity index vs cervical vertebral maturation: A retrospective study

2021 ◽  
Author(s):  
David D. Chung ◽  
Sepand Ghanouni
Keyword(s):  
Retrospective Study ◽  
Skeletal Maturity ◽  
Skeletal Age ◽  
Maturity Index ◽  
Growth Stages ◽  
Age Assessment ◽  
Retrospective Design ◽  
Skull Radiographs ◽  
Cervical Vertebral Maturation

ABSTRACT Objectives To evaluate the frequency of abnormal progression that could ultimately affect the reliability of the skeletal maturity index (SMI) and the cervical vertebral maturation (CVM) method that are most commonly used analyses for skeletal age assessment. Materials and Methods A retrospective design was used to compare 299 hand-wrist radiographs with 299 lateral skull radiographs regarding the number of abnormalities in the proposed sequence of maturation in the SMI and CVM methods. Results A significantly greater number of abnormalities occurred in the sequence of CVM progression compared with SMI (P &lt; .001). Sex and age did not have an effect. Conclusions Skeletal age assessment based on SMI is more accurate than CVM regarding the progressive sequence of stages.

scholarly journals Relationship of Frontal Sinus Size and Maturation of Cervical Vertebrae for Assessment of Skeletal Maturity

2020 ◽  
Author(s):  
Sara Alijani ◽  
Nasrin Farhadian ◽  
Behnaz Alafchi ◽  
Mahsa Najafi
Keyword(s):  
Frontal Sinus ◽  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Width Ratio ◽  
Lateral Cephalograms ◽  
Males And Females ◽  
The Mean ◽  
Cervical Vertebral Maturation ◽  
Relationship Of ◽  
The Relationship

Objectives: This study aimed to assess the relationship of frontal sinus height and width with the cervical vertebral maturation (CVM) for assessment of skeletal maturity. Materials and Methods: This retrospective study evaluated lateral cephalograms of 132 patients between 8 to 21 years, including 66 males and 66 females. For each of the six stages of the CVM, 22 patients (11 males and 11 females) were evaluated. The Ertuk’s method was used to measure the height and width of the frontal sinus. The sinus height to width ratio was calculated and considered as the sinus index. The CVM was evaluated on the same lateral cephalograms using the Baccetti’s method. The correlation of frontal sinus height and width with the CVM was analyzed, and comparisons were made using independent t-test, ANOVA, Mann-Whitney test, and Kendall's tau-b correlation coefficient. Results: The sinus width was 10.85±2.7 mm in males and 9.47±2.6 mm in females. The sinus index was 2.43±0.37 in males and 2.66±0.32 in females (P<0.000). The frontal sinus index and width were significantly greater in males but the sinus length was not significantly different between males and females (P=0.383). Significant differences were found in stages 2 and 3, and also 4 and 5 in females and 2 and 3, 3 and 4, and 4 and 5 in males. The mean frontal sinus index had a significant correlation with the CVM stage in both groups.  Conclusion: According to the results, the frontal sinus index cannot be used as a predictor of skeletal maturity.

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