A practical formula for determining growth

Türköz, Çağrı; Kaygısız, Emine; Ulusoy, Çağrı; Ateş, Can

doi:10.5152/dir.2016.16334

Cited by 8 publications

(8 citation statements)

References 25 publications

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“…The 27 moderate and high-quality articles were categorized by topics as follows: 16 articles compared the CVM method with the HWM, 2,5,9,[13][14][15][16]19,21,[25][26][27][28][29][30]32 2 articles compared the CVM method with chronologic age, 39,40 1 article compared the CVM method with MP3, 42 3 articles [46][47][48] compared the CVM method with dental age, 3 articles compared the CVM method with body height, 43,44,49 1 article compared the CVM method with both chronologic age and dental age, 37 and finally 1 article compared the CVM method with both HWM and MP3. 24…”

Section: Resultsmentioning

confidence: 99%

Efficacy of the Cervical Vertebral Maturation Method: A Systematic Review

Lucchese¹,

Bondemark²,

Farronato³

et al. 2022

Turk J Orthod

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Main Points• The aim of the study is to evaluate whether the cervical vertebral maturation (CVM) method is effective in terms of predicting the growth spurt. • Most of the previous studies have stated that the CVM method is an effective method for assessing skeletal maturity.• The CVM method and skeletal analysis of the hand-wrist method do not show significant differences.• No further radiographic investigations are required other than the lateral cephalogram.

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Section: Resultsmentioning

confidence: 99%

Efficacy of the Cervical Vertebral Maturation Method: A Systematic Review

Lucchese¹,

Bondemark²,

Farronato³

et al. 2022

Turk J Orthod

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“…As maturation estimation methods using the cervical vertebrae, morphological features such as lower limit, height, and shape of cervical vertebrae have been used in various studies. 7 27 Although a correlation was found between changes in cervical vertebrae and growth, 6 7 32 the reproducibility of skeletal age assessment based on the similarity between images defined by radiographs was found to be low. 34 Mito et al 27 and Caldas Mde et al 28 29 suggested using methods based on formulas rather than radiological similarities to obtain objective results.…”

Section: Discussionmentioning

confidence: 99%

Assessment of maturation stages and the accuracy of age estimation methods in a Turkish population: A comparative study

Mağat

Özcan

2022

Imaging Sci Dent

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Purpose This study assessed the associations between chronological age, dental maturation (DM), cervical vertebrae maturation (CVM), and hand-wrist maturation (HWM) in individuals aged 9-19 years. In addition, this study aimed to derive practical methods to evaluate the skeletal age using DM, CVM, or HWM for orthodontic, medical, and forensic purposes and to compare which of these 3 developmental parameters is more accurate for estimating the age of individuals in a Turkish population. Materials and Methods Panoramic, lateral cephalometric, and hand-wrist radiographs of 284 patients aged 9-19 years were used in this study. The DM, CVM, and HWM stages were determined. The Kolmogorov-Smirnov, kappa, Wilcoxon, Kruskal-Wallis, chi-square, and Spearman correlation tests and simple linear regression analysis were used for statistical analysis. The significance level was 0.05. Results Statistically significant differences were found between chronological age and DM, chronological age and CVM, and chronological age and HWM in both sexes ( P <0.05). DM did not show statistically significant differences according to sex ( P >0.05), but CVM and HWM were statistically different between males and females ( P <0.05). The DM-estimated age yielded more accurate values than the other methods. Conclusion All correlations between skeletal and dental stages were statistically significant. Our results showed that there was no statistically significant difference between chronological age and DM-estimated age. Therefore, it can be concluded that DM stages have the potential to be used for legal purposes.

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“…Caldas et al 38 developed a linear model based on the height of the third and fourth cervical vertebras; however, they did not report the R 2 of the model. Türkoz et al 28 created a similar model, exhibiting high SA correlations, also without specifying the predictive capacity of the model. Recent studies have also been validating ultrasound and dual-energy X-ray absorptiometry (DEXA) to estimate skeletal age.…”

Section: Discussionmentioning

confidence: 99%

“…This indicator of maturation has been used on studies of sports, motor skills, physical activity and exercise physiology [23][24][25][26][27] . However, there are few studies on non-invasive estimation methods 28 , and to the best of our knowledge, only one study in the past has predicted bone age based on anthropometric variables 29 .…”

mentioning

confidence: 99%

Skeletal age prediction model from percentage of adult height in children and adolescents

Olivares

Fierro

Fragoso

2020

Sci Rep

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Skeletal age (SA) is considered the gold standard to assess the degree of maturation and has been widely used in sports, education and public health areas; however, it requires sophisticated equipment and well-trained technicians. Therefore, it is important to develop non-invasive methods for its evaluation. The aim was to develop an equation to predict SA using the percentage of adult height. SA was measured by Tanner-Whitehouse-3 method, and the percentage of adult height was estimated by two methodologies: Tanner-Whitehouse-3 method (P-TW3) and Khamis-Roche method (P-KR) using 839 schoolchildren of both sexes. Linear regression was used for predicting SA from P-TW3; then P-TW3 was replaced in the equation for P-KR value. Bland–Altman graphs, interclass correlation coefficient and Kappa index were used as validation tests. Model showed a SA predictive capacity of 93.2% in boys and 96.8% in girls. The average differences between SA measured and SA predicted by P-TW3 was 0.0504 (± 0.664) in boys and 0.0144 (± 0.435) in girls (P = 0.229 and 0.667, respectively). When P-TW3 was replaced for P-KR value in the equation, the average differences were − 0.0532 in boys and 0.0850 in girls (P = 0.509 and 0.167 respectively). The present model, based on the percentage of adult height, showed an adequate estimation of SA in children and adolescents and it can be used in the absence of bone X-ray equipment, in healthy boys aged 9 to 15 and girls 8 to 13.

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A practical formula for determining growth

Cited by 8 publications

References 25 publications

Efficacy of the Cervical Vertebral Maturation Method: A Systematic Review

Efficacy of the Cervical Vertebral Maturation Method: A Systematic Review

Assessment of maturation stages and the accuracy of age estimation methods in a Turkish population: A comparative study

Skeletal age prediction model from percentage of adult height in children and adolescents

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