Measuring agreement between cervical vertebrae and hand-wrist maturation in determining skeletal age: Reassessing the theory in patients with short stature

Danaei, Shahla Momeni; Karamifar, Amirali; Sardarian, Ali Reza; Shahidi, Shoaleh; Karamifar, Hamdollah; Alipour, Abbas; Boushehri, Sahar Ghodsi

doi:10.1016/j.ajodo.2014.05.023

Cited by 20 publications

(22 citation statements)

References 15 publications

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“…Thus, a crosstab analysis using a contingency coefficient was performed additionally (Table 8). 21 When the crosstab analysis was performed with CBCT stages, the HWM (γ = 0.924, Kendall's τ-b = 0.807) and CVM (γ = 0.905, Kendall's τ-b = 0.784) showed higher values than chronological age (γ = 0.741, Kendall's τ-b = 0.635) and Hellman's dental age (γ = 0.809, Kendall's τ-b = 0.673). This means that maturation based on the morphology of the midpalatal suture was more consistent with skeletal age than with chronological age or dental age.…”

Section: Discussionmentioning

confidence: 99%

Relationship between maturation indices and morphology of the midpalatal suture obtained using cone-beam computed tomography images

et al. 2016

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ObjectiveThe purpose of this study was to determine whether predicting maturation of the midpalatal suture is possible by classifying its morphology on cone-beam computed tomography (CBCT) images and to investigate relationships with other developmental age indices.MethodsThe morphology of the midpalatal suture was assessed by using CBCT images of 99 patients. Axial plane images of the midpalatal suture were classified into five stages according to the classification scheme. To make the assessment more accurate, the morphology and fusion of the midpalatal suture were additionally investigated on coronal cross-sectional planar images and volume-rendered images. Bone age was evaluated using the hand and wrist method (HWM) and cervical vertebrae method (CVM); dental age (Hellman's index), sex, and chronological age were also assessed. To evaluate relationships among variables, Spearman's rho rank test was performed along with crosstabs using contingency coefficients.ResultsThe HWM and CVM showed strong correlations with the maturation stage of the midpalatal suture, while other indices showed relatively weak correlations (p < 0.01). Through crosstabs, the HWM and CVM showed high association values with CBCT stage; the HWM demonstrated slightly higher values (p < 0.0001). Based on the HWM, the midpalatal suture was not fused until stage 6 in both sexes.ConclusionsAmong developmental age indices, the HWM and CVM showed strong correlations and high associations, suggesting that they can be useful in assessing maturation of the midpalatal suture.

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Section: Discussionmentioning

confidence: 99%

Relationship between maturation indices and morphology of the midpalatal suture obtained using cone-beam computed tomography images

et al. 2016

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“…12,33 The validity and reliability of the CVM method in comparison with HW assessments have been investigated in a series of studies over the years, mainly through correlation and agreement coefficients, such as: ICC, Cohen's κ coefficient, Kendall's W coefficient, Pearson and Spearman correlation tests. 1,2,9,10,[16][17][18][34][35][36][37] Despite these previous studies, results considered the CVM maturation stages as valuable indicators of skeletal growth changes, 1,2,9,10,[16][17][18]34,36,37 the reproducibility concerning the difference between repeated measurements of each method against their mean has not been assessed directly. For this purpose, we used the Bland-Altman's plot 25 for evaluating how much the two method differed from each other.…”

Section: Staging Hand-wrist and Cervical Vertebrae: A Reproducibilitymentioning

confidence: 99%

Staging hand-wrist and cervical vertebrae images: a comparison of reproducibility

Cunha

Cevidanes

Sant’Anna

et al. 2018

Dentomaxillofacial Radiology

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“…Many researchers found this method as valid and reliable as hand and wrist Xray [14]. The cervical vertebrae maturation stages have been demonstrated as a clinically useful maturation indicators for evaluation of pubertal growth height and mandibular velocities [18][19][20], by correlation between chronological age and cervical vertebrae maturation, between hand-wrist and cervical-vertebrae maturation [16,[21][22][23].…”

Section: Cephalometric Appraisalsmentioning

confidence: 99%

Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography

Makaremi

Lacaule

Mohammad-Djafari³

2020

The 39th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

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Many environmental and genetic conditions may modify jaws growth. In orthodontics, the right treatment timing is crucial. This timing is a function of the Cervical Vertebra Maturation (CVM) degree. Thus, determining the CVM is important. In orthodontics, the lateral X-ray radiography is used to determine it. Many classical methods need knowledge and time to look and identify some features to do it. Nowadays, Machine Learning (ML) and Artificial Intelligent (AI) tools are used for many medical and biological image processing, clustering and classification. This paper reports on the development of a Deep Learning (DL) method to determine directly from the images the degree of maturation of CVM classified in six degrees. Using 300 such images for training and 200 for evaluating and 100 for testing, we could obtain a 90% accuracy. The proposed model and method are validated by cross validation. The implemented software is ready for use by orthodontists.

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Measuring agreement between cervical vertebrae and hand-wrist maturation in determining skeletal age: Reassessing the theory in patients with short stature

Cited by 20 publications

References 15 publications

Relationship between maturation indices and morphology of the midpalatal suture obtained using cone-beam computed tomography images

Relationship between maturation indices and morphology of the midpalatal suture obtained using cone-beam computed tomography images

Staging hand-wrist and cervical vertebrae images: a comparison of reproducibility

Determination of the Cervical Vertebra Maturation Degree from Lateral Radiography

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