Skeletal maturation evaluation using mandibular third molar development in adolescents

Cho, Sun Mi; Hwang, Chung Ju

doi:10.4041/kjod.2009.39.2.120

Cited by 24 publications

(31 citation statements)

References 17 publications

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“…Previous researchers have reported that dental maturity is associated with CA and BA (16171825). In this study, we revealed that a higher DI value was associated with higher CA, BA, and difference between BA and CA.…”

Section: Discussionmentioning

confidence: 99%

“…Dental developments and maturity have been used to assess skeletal maturity after the development of a new dental age assessment by Demirjian et al (13). In this context, dental maturity was assessed using morphological differences in the calcification stages of the mandibular canine, second premolar, second molar, or third molar (1415), and several studies have reported strong correlation between skeletal and dental maturity (161718). Dental maturity is affected by several diseases and conditions.…”

Section: Introductionmentioning

confidence: 99%

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Predictive Value of Dental Maturity for a Positive Gonadotropin-Releasing Hormone Stimulation Test Result in Girls with Precocious Puberty

et al. 2017

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Dental maturity is associated with skeletal maturity, which is advanced in girls with central precocious puberty (CPP). We investigated the performance of dental maturity as a screening method for CPP using mandibular second premolar and molar calcification stages, assessed the associated anthropometric and laboratory factors, and evaluated pubertal response predictors using the gonadotropin-releasing hormone stimulation test (GnRHST) in prepubertal and pubertal girls. A prospective case-control study was conducted in girls, aged 7.0–8.9 years, classified into pubertal (peak luteinizing hormone [LH] after GnRHST ≥ 5 IU/L), prepubertal (peak LH < 5 IU/L), and control groups. Auxological and biochemical tests, panoramic radiographs, and GnRHSTs in participants with breast development were conducted. Dental maturity was assessed using the Demirjian index (DI). We included 103 girls (pubertal, 40; prepubertal, 19; control, 44). Chronological age (CA) was not significantly different between groups. Bone age (BA) and BA advancement was higher in the pubertal and prepubertal groups. Increased DI values at the mandibular second premolar and molar were significantly associated with CA, BA, BA advancement, height standard deviation score (SDS), peak LH after GnRHST, and insulin-like growth factor-I (IGF-I) (all P < 0.05). Moreover, odds ratio (OR) of the mandibular second premolar and molar (a DI value of ≥ E) for predicting a positive response to GnRHST was 8.7 (95% confidence intervals [CI], 2.9–26.1) and 5.2 (95% CI, 2.2–12.7), respectively. Dental maturity was a strong predictor for diagnosing CPP. Determining dental maturity in girls with suspected precocious puberty might help determine the performance of GnRHSTs.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive Value of Dental Maturity for a Positive Gonadotropin-Releasing Hormone Stimulation Test Result in Girls with Precocious Puberty

et al. 2017

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“…The objective of pooling age estimation methods was to report the obtained age results and to interpret them in a conclusive age outcome with narrowed prediction intervals. For orthodontic treatment planning, correlations between skeletal and dental development were frequently investigated in an attempt to detect the maturity degree of the examined patient [11][12][13][14][15][16][17][18][19]. For sub-adult age estimation purposes, minor research was performed based on samples, including living individuals with known chronological age on which at the same moment dental and other age predictors were collected [4].…”

Section: Introductionmentioning

confidence: 99%

Human age estimation combining third molar and skeletal development

2011

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The wide prediction intervals obtained with age estimation methods based on third molar development could be reduced by combining these dental observations with age-related skeletal information. Therefore, on cephalometric radiographs, the most accurate age-estimating skeletal variable and related registration method were searched and added to a regression model, with age as response and third molar stages as explanatory variable. In a pilot set up on a dataset of 496 (283 M; 213 F) cephalometric radiographs, the techniques of Baccetti et al. (2005) (BA), Seedat et al. (2005) (SE), Caldas et al. (2007) and Rai et al. (2008) (RA) were verified. In the main study, data from 460 (208 F, 224 M) individuals in an age range between 3 and 26 years, for which at the same day an orthopantogram and a cephalogram were taken, were collected. On the orthopantomograms, the left third molar development was registered using the scoring system described by Gleiser and Hunt (1955) and modified by Köhler (1994) (GH). On the cephalograms, cervical vertebrae development was registered according to the BA and SE techniques. A regression model, with age as response and the GH scores as explanatory variable, was fitted to the data. Next, information of BA, SE and BA + SE was, respectively, added to this model. From all obtained models, the determination coefficients and the root mean squared errors were calculated. Inclusion of information from cephalograms based on the BA, as well as the SE, technique improved the amount of explained variance in age acquired from panoramic radiographs using the GH technique with 48%. Inclusion of cephalometric BA + SE information marginally improved the previous result (+1%). The RMSE decreased with 1.93, 1.85 and 2.03 years by adding, respectively, BA, SE and BA + SE information to the GH model. The SE technique allows clinically the fastest and easiest registration of the degree of development of the cervical vertebrae. Therefore, the choice of technique to classify cervical vertebrae development in addition to third molar development is preferably the SE technique.

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“…Height has limited value in the immediate clinical judgment of a child's maturity stage, because morphological indicators can be applied only after serial recording of height. In orthodontics handwrist and cervical vertebrae radiographs are commonly used for the assessment of skeletal development [2]. Lamparski insisted that there is a strong relationship between cervical vertebrae maturity and hand-wrist maturity [4].…”

Section: Introductionmentioning

confidence: 99%

“…Knowing the moment of the active growth of a child is important and useful for both paedodontic and orthodontic everyday practice [1]. Considerable variations in development among children of the same chronological age have introduced the concept of biological or physiological age [2].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Skeletal Maturation Using Lower First Premolar Mineralisation

Martha

Ogodescu

Gyergyay

et al. 2013

Acta Medica Marisiensis

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Background: Dental age assessment is very useful in the pediatric dentist's and orthodontist's everyday practice. The eventual lack of correlation between dental age, skeletal maturation and chronological age can infl uence treatment procedures regarding mostly their application time. The aim of our study was to investigate the relationship between dental age based on the calcifi cation stages of the fi rst lower premolar (PM1i) and skeletal maturity stages using cervical vertebrae (C2, C3, C4) among Romanian individuals and to determine the clinical value of the fi rst premolar as a growth evaluation index. Material and methods: In a sample of 30 patients (13 males, 17 females) ranging in age from 9 to 15 years (mean age 11.2 years) we examined the orthopantomography radiographs (OPT) and lateral cephalometric radiographs of each case. Results: The biological development of girls is about 1.5 years more advanced than in boys. When the Demirjian Index was at stage F, then CVS was at stage 3.4, which means that in developmental stage "F" (according to Demirjian index) premolars are indicators of the optimal time for orthodontic treatment. We found a signifi cant correlation (R = 0.871, p <0.001) between CVM and Demirjian's index. Conclusions:The correlation shown in this study will allow clinicians to use mandibular fi rst premolar as an adjunctive tool to assess adolescent growth spurt, combined with the evaluation of the cervical vertebrae. The results also show the usefulness of the assessment of the development of dental status as a simple diagnostic test to determine the biological age of the population.

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Skeletal maturation evaluation using mandibular third molar development in adolescents

Cited by 24 publications

References 17 publications

Predictive Value of Dental Maturity for a Positive Gonadotropin-Releasing Hormone Stimulation Test Result in Girls with Precocious Puberty

Predictive Value of Dental Maturity for a Positive Gonadotropin-Releasing Hormone Stimulation Test Result in Girls with Precocious Puberty

Human age estimation combining third molar and skeletal development

Evaluation of the Skeletal Maturation Using Lower First Premolar Mineralisation

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