scholarly journals The Evaluation of Skeletal Age Based on Computer-Supported Methods in Comparison to the Atlas Method

2013 ◽  
Vol 35 (1) ◽  
pp. 129-141
Author(s):  
Anna Predko-Maliszewska ◽  
Agnieszka Predko-Engel ◽  
Maciej Goliński
Keyword(s):  
Computer Analysis ◽  
Cervical Vertebrae ◽  
Skeletal Age ◽  
Skeletal Maturation ◽  
Atlas Method ◽  
Cervical Vertebral Maturation

Abstract This article describes methods used in estimating skeletal age based both on the evaluation of skeletal maturation of the palm and the wrist (Greulich and Pyle’s atlas method) and the Cervical Vertebral Maturation method (CVM). The method of evaluating the skeletal age based on the measurement of cervical vertebrae with equations introduced by A. Machorowska-Pieniążek is also mentioned. The article shows results obtained by computer analysis of the age of cervical vertebrae compared to the results gained from the implemented equations provided by A. Machorowska-Pieniążek and the results obtained from the atlas method.

scholarly journals A Comparison of Hand-wrist Bone and Cervical Vertebral Analyses in Measuring Skeletal Maturation

2006 ◽  
Vol 76 (6) ◽  
pp. 984-989 ◽  
Author(s):  
Paola Gandini ◽  
Marta Mancini ◽  
Federico Andreani
Keyword(s):  
Radiation Exposure ◽  
Cervical Vertebrae ◽  
Skeletal Maturation ◽  
Maturation Stage ◽  
Concordance Index ◽  
Lateral Cephalogram ◽  
Stage 4 ◽  
Cervical Vertebral Maturation

Abstract Objective: To compare skeletal maturation as measured by hand-wrist bone analysis and by cervical vertebral analysis. Materials and Methods: A radiographic hand-wrist bone analysis and cephalometric cervical vertebral analysis of 30 patients (14 males and 16 females; 7–18 years of age) were examined. The hand-wrist bone analysis was evaluated by the Bjork index, whereas the cervical vertebral analysis was assessed by the cervical vertebral maturation stage (CVMS) method. To define vertebral stages, the analysis consisted of both cephalometric (13 points) and morphologic evaluation of three cervical vertebrae (concavity of second, third, and fourth vertebrae and shape of third and fourth vertebrae). These measurements were then compared with the hand-wrist bone analysis, and the results were statistically analyzed by the Cohen κ concordance index. The same procedure was repeated after 6 months and showed identical results. Results: The Cohen κ index obtained (mean ± SD) was 0.783 ± 0.098, which is in the significant range. The results show a concordance of 83.3%, considering that the estimated percentage for each case is 23.3%. The results also show a correlation of CVMS I with Bjork stages 1–3 (interval A), CVMS II with Bjork stage 4 (interval B), CVMS III with Bjork stage 5 (interval C), CVMS IV with Bjork stages 6 and 7 (interval D), and CVMS V with Bjork stages 8 and 9 (interval E). Conclusions: Vertebral analysis on a lateral cephalogram is as valid as the hand-wrist bone analysis with the advantage of reducing the radiation exposure of growing subjects.

scholarly journals Quantitative Assessment of Cervical Vertebral Maturation Using Cone Beam Computed Tomography in Korean Girls

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Bo-Ram Byun ◽  
Yong-Il Kim ◽  
Tetsutaro Yamaguchi ◽  
Koutaro Maki ◽  
Woo-Sung Son
Keyword(s):  
Computed Tomography ◽  
Multiple Regression ◽  
Regression Models ◽  
Cervical Vertebrae ◽  
Odontoid Process ◽  
Skeletal Maturation ◽  
Cone Beam ◽  
Independent Variables ◽  
Multiple Regression Models ◽  
Cervical Vertebral Maturation

This study was aimed to examine the correlation between skeletal maturation status and parameters from the odontoid process/body of the second vertebra and the bodies of third and fourth cervical vertebrae and simultaneously build multiple regression models to be able to estimate skeletal maturation status in Korean girls. Hand-wrist radiographs and cone beam computed tomography (CBCT) images were obtained from 74 Korean girls (6–18 years of age). CBCT-generated cervical vertebral maturation (CVM) was used to demarcate the odontoid process and the body of the second cervical vertebra, based on the dentocentral synchondrosis. Correlation coefficient analysis and multiple linear regression analysis were used for each parameter of the cervical vertebrae (P<0.05). Forty-seven of 64 parameters from CBCT-generated CVM (independent variables) exhibited statistically significant correlations (P<0.05). The multiple regression model with the greatest R2 had six parameters (PH2/W2, UW2/W2, (OH+AH2)/LW2, UW3/LW3, D3, and H4/W4) as independent variables with a variance inflation factor (VIF) of <2. CBCT-generated CVM was able to include parameters from the second cervical vertebral body and odontoid process, respectively, for the multiple regression models. This suggests that quantitative analysis might be used to estimate skeletal maturation status.

scholarly journals Transverse dentofacial dimensions according to skeletal maturation

2021 ◽  
Vol 11 (2) ◽  
pp. 99-108
Author(s):  
Türkan Sezen Erhamza ◽  
Burçin Akan ◽  
Fatma Nazik Ünver ◽  
Perihan Dalgalı Evli
Keyword(s):  
Native Speakers ◽  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Skeletal Age ◽  
Skeletal Maturation ◽  
Multivariate Linear Regression Model ◽  
Maturation Stages ◽  
Native Speakers Of English ◽  
Different Origins ◽  
Age And Sex

Aim: This study aimed to determine the dentofacial transverse dimensions according to the hand-wrist and cervical vertebrae skeletal maturation stages in order to evaluate the differences between the sexes, to identify the correlations between transverse measurements, and to compare the transverse measurements of individuals of different origins with those of Turkish individuals. Methodology: Transverse measurements were performed using the posteroanterior radiographs of 265 Turkish individuals (150 females, 115 males) at 7–17 years of age. Skeletal maturation was evaluated using hand-wrist radiographs and lateral cephalometric radiographs, and the results were used to categorize the patients into 3 stages of hand-wrist skeletal maturity (prepubertal/pubertal/postpubertal) and 2 stages of cervical vertebrae maturity (prespurt/postspurt). Seven measurements were evaluated. A multivariate linear regression model was used to evaluate the correlations between transverse measurements and the variables of skeletal age and sex. Results: Sex was a significant explanatory factor for all transverse variables. In the postpubertal and postspurt stages, all transverse measurement values were found to be higher in males. Postpubertal term was a significant explanatory factor for maxillary, mandibular, mandibular intermolar, and maxillary intermolar widths, whereas pubertal term was only a significant explanatory factor for maxillary intermolar width. Conclusion: Skeletal age and sex should be taken into account when determining transverse dentofacial measurements.   How to cite this article: Sezen Erhamza T, Akan B, Nazik Ünver F, Evli Dalgalı P. Transverse dentofacial dimensions according. Int Dent Res 2021;11(2):99-108. https://doi.org/10.5577/intdentres.2021.vol11.no2.7   Linguistic Revision: The English in this manuscript has been checked by at least two professional editors, both native speakers of English.

scholarly journals Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models

2020 ◽  
Vol 49 (5) ◽  
pp. 20190441 ◽  
Author(s):  
Hakan Amasya ◽  
Derya Yildirim ◽  
Turgay Aydogan ◽  
Nazan Kemaloglu ◽  
Kaan Orhan
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Cervical Vertebrae ◽  
Clinical Decision ◽  
Supervised Machine Learning ◽  
Support Vector ◽  
Human Observer ◽  
Ann Model ◽  
Visual Evaluation ◽  
Cervical Vertebral Maturation

Objectives: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical decision support system (CDSS) was developed for more objective results. Methods: A total of 647 digital lateral cephalometric radiographs with visible C2, C3, C4 and C5 vertebrae were chosen. Newly developed software was used for manually labelling the samples, with the integrated CDSS developed by evaluation of 100 radiographs. On each radiograph, 26 points were marked, and the CDSS generated a suggestion according to the points and CVM analysis performed by the human observer. For each sample, 54 features were saved in text format and classified using logistic regression (LR), support vector machine, random forest, artificial neural network (ANN) and decision tree (DT) models. The weighted κ coefficient was used to evaluate the concordance of classification and expert visual evaluation results. Results: Among the CVM stage classifier models, the best result was achieved using the ANN model (κ = 0.926). Among cervical vertebrae morphology classifier models, the best result was achieved using the LR model (κ = 0.968) for the presence of concavity, and the DT model (κ = 0.949) for vertebral body shapes. Conclusions: This study has proposed ML models for CVM assessment on lateral cephalometric radiographs, which can be used for the prediction of cervical vertebrae morphology. Further studies should be done especially of forensic applications of AI models through CVM evaluations.

scholarly journals Anatomical evaluation of the cervical vertebrae of Wistar rats by means of digital radiographs and its correlation with the maturation stages of human cervical vertebrae

2013 ◽  
Vol 18 (4) ◽  
pp. 82-88
Author(s):  
Roberto Hiroshi Matsui ◽  
Julio Cezar de Melo Castilho ◽  
Luiz César de Moraes ◽  
Mônica Fernandes Gomes ◽  
Kurt Faltin Júnior ◽  
...  
Keyword(s):  
Cross Sections ◽  
Wistar Rats ◽  
Cervical Vertebrae ◽  
Pearson Correlation ◽  
Bone Age ◽  
Skeletal Maturation ◽  
Growth Spurt ◽  
Digital Radiographs ◽  
Maturation Stages ◽  
Development Assessment

INTRODUCTION: Biological age is an important parameter for growth and development assessment. It can be evaluated through the observation of radiographic changes in skeletal maturation of cervical vertebrae. OBJECTIVE: This study aims to: a) verify if there is correlation between growth curve and the stages of bone age of animals used in laboratories, by evaluating radiographs of the cervical vertebrae; b) correlate these stages with their correspondents in humans. METHODS: 35 Wistar rats were evaluated for a period of 160 days, starting at day 22nd (weaning), with cross sections for periodic weighing, length measurement and digital radiography. Radiographs of the cervical vertebrae (C2 and C3) were measured by means of a computer program (Radio IMP). Data were submitted to statistical analysis (ANOVA) and Pearson correlation. RESULTS: Growth spurt was characterized by fast increasing in weight and length. Through ANOVA, differences were observed in the cervical measurements between days 22, 97, 127, 157, 187 and 217 (p <0.001). A high correlation was found between increasing in body length and weight, as well as in cervical vertebrae height (r = 0.86). Increments in concavities of vertebrae were also observed, similar to humans. CONCLUSIONS: There is correlation between body growth and maturation of cervical vertebrae in rats. Despite the continuous development of concavities, it was not possible to clearly identify the 5/6 stages as in studies of cervical vertebrae maturation in humans.

Skeletal maturation analysis by morphological evaluation of the cervical vertebrae

2006 ◽  
Vol 30 (3) ◽  
pp. 265-271 ◽  
Author(s):  
Eduardo César Almada Santos ◽  
Francisco Antônio Bertoz ◽  
Flávia de Moraes Arantes ◽  
Patrícia Maria Pizzo Reis ◽  
André Pinheiro de Magalhães Bertoz
Keyword(s):  
Growth Curve ◽  
Cervical Vertebrae ◽  
Skeletal Maturation ◽  
Morphological Evaluation

The determination of skeletal maturation by morphological evaluation of the cervical vertebrae was evaluated in a 100 cephalograms. The analysis showed that this method was reproducible for assessing the individual's growth curve.

Evaluating the agreement of skeletal age assessment based on hand-wrist and cervical vertebrae radiography

2013 ◽  
Vol 144 (6) ◽  
pp. 838-847 ◽  
Author(s):  
Philipp Beit ◽  
Timo Peltomäki ◽  
Marc Schätzle ◽  
Luca Signorelli ◽  
Raphael Patcas
Keyword(s):  
Cervical Vertebrae ◽  
Skeletal Age ◽  
Age Assessment

Assessment of Skeletal Maturation using Mandibular Second Molar Maturation Stages

2014 ◽  
Vol 39 (1) ◽  
pp. 79-84 ◽  
Author(s):  
S Goyal ◽  
S Goyal ◽  
N Gugnani
Keyword(s):  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Skeletal Maturation ◽  
Growth Spurt ◽  
Pubertal Growth Spurt ◽  
Second Molar ◽  
Pubertal Growth ◽  
Lateral Cephalograms ◽  
Mandibular Second Molar ◽  
Pre Treatment

Objectives: To investigate the relationship between cervical vertebrae maturation and mandibular second molar calcification stages.Study design: The study was designed as a retrospective, descriptive and crosssectional research project. Pre-treatment lateral cephalograms and panoramic radiographs of 99 males and 110 females in the age range of 7 to 18 years 7 months were evaluated with Demirjian Index (DI) and cervical vertebrae maturation indicators (CVMI) of Hassel and Farman. A null hypothesis was proposed that there is no relation between CVMI and DI. Results: A highly significant association (Pearson's contingency coefficient 0.713 for males and 0.863 for females) was found between DI and CVMI. In males, the DI stage E corresponded to stage 2 of CVMI (pre–peak of pubertal growth spurt) and DI stages F and G corresponded to stages 3 and 4 of CVMI (peak of pubertal growth spurt). DI stage H was associated with stages 5 and 6 of CVMI (end of pubertal growth spurt). In females, the DI stages C, D corresponded to CVMI stages 1, 2; DI stages E, F with CVMI stages 3, 4; DI stages G, H with CVMI stages 5, 6. Conclusion: Mandibular second molar calcification stages can be used as indicators for assessment of skeletal maturity.

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