Maturação esquelética numa população portuguesa – comparação entre maturação da mão e punho e vértebras cervicais

Maló, Luísa; Lima, Sara; Teixeira, Vanessa; Canova, Filomena; Alves, Sónia

doi:10.1016/j.rpemd.2014.05.001

Cited by 1 publication

(1 citation statement)

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“…It indicates that all the methods investigated in the present study may be used for age estimation based on dental and skeletal (cervical vertebrae with hand and wrist) parameters. Similar outcomes were observed by Soegiharto, Cunningham andMoles (2008), Manhães Júnior (2006), Suma et al, (2011), Kumar et al (2012) and Maló et al (2014). Moreover, these methods performed accurate in females and males.…”

Section: Discussionsupporting

confidence: 79%

Development of the teeth, cervical vertebrae, hand and wrist combined for the estimation of the biological age

Pêgo

Corazza²,

Baeder

et al. 2021

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This study aims to perform age estimation using three different parameters from dental and skeletal development. The sample consisted of 98 dental records of patients aged from 10 to 16 years old, containing the chronological age and a set of radiographs (panoramic, lateral cephalometric and carpal radiographs) taken in the same day. The biological age was assessed through the dental development from panoramic radiographs according to the Nicodemo's method. The stages of dental development were registered and imported in CRONOL software (UNESP, São Paulo, Brazil), which provided the estimated dental age. The lateral cephalometric radiographs were analyzed to assess the development of the vertebrae C2, C3 and C4. And carpal radiographs were evaluated according to Fishman's method. Shapiro-Wilk test was used to verify the normality of the chronological and estimated age. T-test for unpaired samples was used to compare the normal data. Chi-square test was used to analyze the age in function of sex. Moderate and strong correlations were found between the chronological and biological (estimated) ages for all the methods. Statistically significant differences between the development of males and females were not observed (p>0.05). A linear regression formula was designed to allow age estimates statistically more accurate (p<0.0001). The formula reached an accuracy rate of 71.4%. In general, the methods underestimated the age. The combination of methods led to optimal performances for age estimation. The performances were similar between males and females.

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