scholarly journals Correlative and comparative study of Fishman′s skeletal maturity indicators with CVMI and chronological age in Lucknow population

2012 ◽  
Vol 1 (3) ◽  
pp. 161 ◽  
Author(s):  
Sachan Kiran ◽  
VP Sharma ◽  
Pradeep Tandon
Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 142
Author(s):  
Abel Emanuel Moca ◽  
Luminița Ligia Vaida ◽  
Rahela Tabita Moca ◽  
Anamaria Violeta Țuțuianu ◽  
Călin Florin Bochiș ◽  
...  

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.


2021 ◽  
Author(s):  
Ilona Kovacs ◽  
Kristof Kovacs ◽  
Patricia Gervan ◽  
Katinka Utczas ◽  
Gyongyi Olah ◽  
...  

Adolescent development is not only shaped by the mere passing of time and accumulating experience, it also depends on pubertal timing and the cascade of maturational processes orchestrated by gonadal hormones. Although individual variability in puberty onset confounds adolescent studies, it has not been efficiently controlled for. Here we introduce ultrasonic bone age assessment to estimate biological maturity and disentangle the independent effects of chronological and biological age on adolescent cognitive abilities. Comparing cognitive performance of participants with different skeletal maturity we uncover the striking impact of biological age on both IQ and specific abilities. We find that biological age has a selective effect on abilities: more mature individuals within the same age group have higher working memory capacity and processing speed, while those with higher chronological age have better verbal abilities, independently of their maturity. Based on our findings, bone age is a promising biomarker for adolescent research.


2021 ◽  
Vol 35 (2) ◽  
pp. 167-173
Author(s):  
Brenda Lee Cutajar ◽  
Fraser McDonald ◽  
Graham Roberts ◽  
Victoria Lucas ◽  
Simon Camilleri

2020 ◽  
Vol 26 (10) ◽  
pp. 1053-1061
Author(s):  
Miguel Klünder-Klünder ◽  
Montserrat Espinosa-Espindola ◽  
Desiree Lopez-Gonzalez ◽  
Mariana Sánchez-Curiel Loyo ◽  
Pilar Dies Suárez ◽  
...  

Objective: The most commonly used methods for bone age (BA) reading were described in the Caucasian population decades ago. However, there are secular trends in skeletal maturation and different BA patterns between ethnic groups. Automated BA reading makes updating references easier and more precise than human reading. The objective of the present study was to present automated BA reference curves according to chronological age and gender in the Mexican population and compare the maturation tempo with that of other populations. Methods: The study included 923 healthy participants aged 5 to 18 years between 2017 and 2018. A hand radio-graph was analyzed using BoneXpert software to obtain the automated BA reading according to Greulich and Pyle (G&P) and Tanner-Whitehouse 2 (TW2) references. We constructed reference curves using the average difference between the BA and chronological age according to sex and age. Results: The G&P and TW2 automated reference curves showed that Mexican boys exhibit delays in BA during middle childhood by 0.5 to 0.7 (95% confidence interval [CI], −0.9 to −0.2) years; however, they demonstrate an advanced BA of up to 1.1 (95% CI, 0.8 to 1.4) years at the end of puberty. Mexican girls exhibited a delay in BA by 0.3 to 0.6 (95% CI, −0.9 to −0.1) years before puberty and an advanced BA of up to 0.9 (95% CI, 0.7 to 1.2) years at the end of puberty. Conclusion: Mexican children aged <10 years exhibited a delay in skeletal maturity, followed by an advanced BA by approximately 1 year at the end of puberty. This may affect the estimation of growth potential in this population. Abbreviations: BA = bone age; CA = chronological age; G&P = Greulich and Pyle; TW2 = Tanner-Whitehouse 2


2019 ◽  
Vol 89 (4) ◽  
pp. 637-642
Author(s):  
Nora Alhazmi ◽  
Carroll Ann Trotman ◽  
Matthew Finkelman ◽  
Dillon Hawley ◽  
Driss Zoukhri ◽  
...  

ABSTRACT Objectives: To investigate the relationship between salivary alkaline phosphatase activity (ALP), protein concentration, and chronological age with cervical vertebral maturation stages (CVMS) as noninvasive biomarkers for skeletal maturity assessment. Materials and Methods: This cross-sectional study included 79 subjects (48 females, 31 males; 7 to 23 years old) categorized into five CVMS based on lateral cephalographs evaluated by three examiners. ALP activity and protein concentration in unstimulated whole saliva were compared among five CVMS. The association between age and CVMS was assessed and five multinomial logistic regression models were utilized to predict CVMS based on salivary ALP activity, protein concentration, and chronological age. Results: Salivary ALP reached the peak at early pubertal stage and then declined with a significant difference between CVMS I and CVMS II (P &lt; .001) and between CVMS I and CVMS V (P = .004). A significant positive correlation between age and CVMS was found (rs = 0.763, P &lt; .001). The models' overall correct classification rates for predicting CVMS were 32.9% using protein concentration, 35.4% using ALP activity, and 53.2% using both ALP activity and age. Conclusions: The combination of salivary ALP activity and chronological age may provide the best CVMS prediction.


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