Coronal pulp: An age biomarker – A cross-sectional radiographic study in children

Havale, Raghavendra; Rao, Dhanu G; A, Latha; Nagaraj, M.; Karobari, Namira Mohammad; Tharay, Namratha

doi:10.4103/jomfp.jomfp_342_19

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…12 In Australia, Karkhanis et al in a large sample, 220 women and 230 men indicated that the method may be applicable for forensic purposes. 13 Results of Talabani et al 14 from 96 participants corroborated the results of this study and those of Karkhanis et al 13 and Koranne et al 11 The study by Havale et al 15 with 100 children aged 5-10 years, confirms the results of this study. With a correlation coefficient r = -0.59, found between AC and TCI, the authors had concluded that the Drusini's method is well applicable.…”

Section: Discussionsupporting

confidence: 87%

Age Estimation in Senegalese from Pulp/Tooth Area Ratio of Mandibular Premolars and Molars

Soumboundou¹,

Ndiaye²,

Lecor³

et al. 2022

CODS - Journal of Dentistry

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In the present study, teeth with restorations, caries, pathologies (including periapical lesions), and severe attrition were excluded. Furthermore, endodontically treated teeth, or teeth with orthodontic introductionThe discovery of a nonidentified body raises questions to be answered by the coroner, among them, the age of the dead body. Research is then undertaken to determine the profile (ethnicity, sex, and age) of the victim. In age assessment, bone and dental methods are most widely used. The role of the dental organ in this estimation process is often decisive. Because of its biological behavior and morphological features, the tooth represents a medicolegal tool of extreme importance in the assessment of age. 1 This last one is based on the study of the root transparency, the racemization of the amino acids, the radiological and genetic methods. The study of pulp aging as an indicator of age is based on knowledge of the repairing potential of the pulp, whose production of physiological secondary restorative dentin continues in adult teeth.In 1925, Bodecker showed that AC was correlated with the affixing of secondary dentin. 2 Ikeda et al., in 1985, developed the coronal pulp index (TCI) for age estimation by taking X-rays of extracted teeth. 3 Later, Drusini, in 1993, applied the calculation of TCI on radiographs of living people. 4 According to Drusini et al., this affixing of secondary dentin remains a morphological indicator and a significant biomarker of dental age, as it is not an alteration caused by dental erosion. 5 The correlation between pulp reduction and dental age has been the subject of many investigations among Caucasian, 6 Indian, 7 and Arab populations. 8 To date, no studies have tested its applicability in West African melanoderm subjects. This study was aimed to test the validity of the coronal pulp index on a sample of Senegalese melanoderm people.

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Section: Discussionsupporting

confidence: 87%

Age Estimation in Senegalese from Pulp/Tooth Area Ratio of Mandibular Premolars and Molars

Soumboundou¹,

Ndiaye²,

Lecor³

et al. 2022

CODS - Journal of Dentistry

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Age estimation based on 3D pulp segmentation of first molars from CBCT images using U-Net

Song¹,

Yang

et al. 2023

Dentomaxillofacial Radiology

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Objective: To train a U-Net model to segment the intact pulp cavity of first molars and establish a reliable mathematical model for age estimation. Methods: We trained a U-Net model by 20 sets of cone-beam CT images and this model was able to segment the intact pulp cavity of first molars. Utilizing this model, 239 maxillary first molars and 234 mandibular first molars from 142 males and 135 females aged 15–69 years old were segmented and the intact pulp cavity volumes were calculated, followed by logarithmic regression analysis to establish the mathematical model with age as the dependent variable and pulp cavity volume as the independent variable. Another 256 first molars were collected to estimate ages with the established model. Mean absolute error and root mean square error between the actual and the estimated ages were used to assess the precision and accuracy of the model. Results: The dice similarity coefficient of the U-Net model was 95.6%. The established age estimation model was [Formula: see text] (V is the intact pulp cavity volume of the first molars). The coefficient of determination (R2), mean absolute error and root mean square error were 0.662, 6.72 years, and 8.26 years, respectively. Conclusion: The trained U-Net model can accurately segment pulp cavity of the first molars from three-dimensional cone-beam CT images. The segmented pulp cavity volumes could be used to estimate the human ages with reasonable precision and accuracy.

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Three-Dimensional Analysis of the Pulp Chamber and Coronal Tooth of Primary Molars: An In Vitro Study

Pérez

Ticona-Flores

2022

IJERPH

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The anatomical variability of primary molars promotes research to improve clinical restorative activity, forensic identification, and industrial development. The objective was to study the morphology of the pulp chamber and its three-dimensional relationship with the external morphology of the tooth. A total of 151 deciduous molars were collected and subjected to three-dimensional imaging analysis in order to determine dental crown (CV) and pulp chamber (PV) volumes, their ratio (VR), pulp chamber roof (PCR) and pulp chamber floor (PCF) area, the furcation length (FD), and morphological peculiarities. The data were compared using the Kruskal–Wallis test in SPSS 26 software. The statistical analysis determined statistically significant differences between the four groups of molars for all variables. Great anatomical variability was observed, especially in the maxillary first molar, the volumes were higher in the maxillary second molar and the highest risk of furcal perforation was seen in the mandibular first molar. Additionally, mandibular second molars with six pulp horns, and some different density images compatible with accessory canals and pulp stones were found. Based on the findings of this investigation, we confirm the great anatomical variability that exists between the maxillary and mandibular molars.

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Coronal pulp: An age biomarker – A cross-sectional radiographic study in children

Cited by 3 publications

References 17 publications

Age Estimation in Senegalese from Pulp/Tooth Area Ratio of Mandibular Premolars and Molars

Age Estimation in Senegalese from Pulp/Tooth Area Ratio of Mandibular Premolars and Molars

Age estimation based on 3D pulp segmentation of first molars from CBCT images using U-Net

Three-Dimensional Analysis of the Pulp Chamber and Coronal Tooth of Primary Molars: An In Vitro Study

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