Age estimation using pulp/enamel volume ratio of impacted mandibular third molars measured on CBCT images in a northern Chinese population

Zhang, Zhiyong; Yan, Cheng; Min, Qiao-Mei; Li, Shaoqing; Yang, Jiangcun; Guo, Yucheng; Jin, Wen-Fan; Li, Lanjiang; Xing, Pan-Fen; Li, Jun

doi:10.1007/s00414-019-02112-2

Cited by 18 publications

(23 citation statements)

References 42 publications

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“…Bias can occur owing to several factors, such as data collection methods, different populations, the size of a dataset, the age range, and the method of analysis. Compared to other studies related to adult age estimation, our achieved accuracy was better than that reported in Zhang et al [21] (5.15 years as against 8.81 years) in terms of MAE. Moreover, our best result (0.80) indicates higher accuracy with a similar age range to the research reported by Jagannathan et al [38] (0.397), Aboshi et al [12] (0.698), and Tardivo et al [39] (0.47), in terms of the CCC.…”

Section: Discussioncontrasting

confidence: 80%

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Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks

et al. 2021

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Age assessment has attracted increasing attention in the field of forensics. However, most existing works are laborious and requires domain-specific knowledge. Modern computing power makes it is possible to leverage massive amounts of data to produce more reliable results. Therefore, it is logical to use automated age estimation approaches to handle large datasets. In this study, a fully automated age prediction approach was proposed by assessing 3D mandible and femur scans using deep learning. A total of 814 post-mortem computed tomography scans from 619 men and 195 women, within the age range of 20–70, were collected from the National Forensic Service in South Korea. Multiple preprocessing steps were applied for each scan to normalize the image and perform intensity correction to create 3D voxels that represent these parts accurately. The accuracy of the proposed method was evaluated by 10-fold cross-validation. The initial cross-validation results illustrated the potential of the proposed method as it achieved a mean absolute error of 5.15 years with a concordance correlation coefficient of 0.80. The proposed approach is likely to be faster and potentially more reliable, which could be used for age assessment in the future.

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Section: Discussioncontrasting

confidence: 80%

“…Adult age estimation could be more complicated owing to the lack of vital developmental markers, such as bone degeneration. Various studies have used dental radiographs [ 18 – 21 ] for age assessment based on the Kvaal method. However, the dental age alone may not be sufficient for accurate age predictions for adults.…”

Section: Introductionmentioning

confidence: 99%

Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks

et al. 2021

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“…In the recent past, increasing numbers of publications have reported an approach to calculate the actual volume of the dental pulp or a quotient of the volume of the hard tooth substance and the pulp [21][22][23][24][25][26]. These methods are based on the cone-beam CT (CBCT) for imaging.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of secondary dentin formation for forensic age assessment by means of semi-automatic segmented ultrahigh field 9.4 T UTE MRI datasets

et al. 2020

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Dental methods are an important element of forensic age assessment of living persons. After the development of all the teeth, including third molars, is completed, degenerative characteristics can be used to assess age. The radiologically detectable reduction of the dental pulp cavity has been described as such a feature. We investigated the suitability of ultrahigh field 9.4 T ultrashort time echo (UTE) magnetic resonance imaging (MRI) for the evaluation of pulp cavity volume in relation to the total tooth volume in 4 extracted human teeth. The volume calculations were performed after semi-automatic segmentation by software AMIRA using the different intensities of the structures in the MRI dataset. The automatically selected intensity range was adjusted manually to the structures. The visual distinction of pulp and tooth structure was possible in all cases with in-plane resolution < 70 μm. Ratios of tooth/pulp volume were calculated, which could be suitable for age estimation procedures. Intensity shifts within the pulp were not always correctly assigned by the software in the course of segmentation. 9.4 T UTE-MRI technology is a forward-looking, radiation-free procedure that allows the volume of the dental pulp to be determined at high spatial resolution and is thus potentially a valuable instrument for the age assessment of living persons.

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“…And the chosen of the maxillary central incisor can be explained for having a shorter length than the canines, larger pulp cavities than the lower incisors and a simpler root morphology than premolars and molars 23 , also allowing a simple morphometric analysis. With the exception of few studies 7,16,21,25 , the majority used completely erupted teeth, with fully formed root, without disease, caries, fracture, restorations nor root canal treatment, because pathological reasons and dental interventions can form a type of dentin 23 that is indistinguishable from secondary dentine in imaging scans. About the sample, when one proposes to determine a method in a population level, a considerable sample amount is expected, and the more expressive number were in the studies of Kazmi et al 4 , Zhan et al 32 and Gulsahi et al 5 .…”

Section: Discussionmentioning

confidence: 99%

“…This phenomenon can be evaluated using the methods of pulp/tooth area ratio or pulp/tooth volume ratio, through imaging scans 6 . According to Zhang et al 7 one or two-dimensional measuremants cannot reflect real three-dimensional morphological changes because secondary dentin deposition occurs on all surfaces of the pulp cavities. So, this study will perform an integrative review with the aim to provide to researchers and forensic team a quick and global comparison of studies that used three-dimensional radiological methods to analyze this deposition with the purpose of age estimation.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Radiological Methods for Age Estimation in Adults by Using the Pulp/Tooth Relation: an Integrative Review

Andrade¹,

Dezem²,

Souza³

et al. 2021

BJFS

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Assessment of secondary dentin apposition is an observable phenomenon widely used to estimate age. An integrative review was performed by searching the keywords "computed tomography AND age estimation AND pulp tooth volume ratio" and "microfocus x-ray AND age estimation AND pulp tooth volume ratio" in the electronic platforms Embase, PubMed, Scopus and Web of Science, in July 2020. Studies included: complete articles with age estimation from human teeth by use of computed tomography or micro-computed tomography, written in English, without time restriction. Excluded studies: not written in English or not in form of an article, clinical cases, literature reviews, if did not realize age estimations or if age estimation is done in animals teeth. The search resulted in 32 different articles. With application of the above criteria only 26 were reviewed. Data collected included: reference, year, country, tooth type, number of subjects, number of teeth, age group, image type, measuring instrument/software, type of analysis, coefficient of determination, correlation coefficient with age and accuracy. These data provided a quick global comparison of various methodologies that use the pulp/tooth relation, being practical for researchers and forensic team to which method they can use accordingly to a specific case and its expected accuracy.

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Age estimation using pulp/enamel volume ratio of impacted mandibular third molars measured on CBCT images in a northern Chinese population

Cited by 18 publications

References 42 publications

Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks

Age estimation based on 3D post-mortem computed tomography images of mandible and femur using convolutional neural networks

Evaluation of secondary dentin formation for forensic age assessment by means of semi-automatic segmented ultrahigh field 9.4 T UTE MRI datasets

Three-Dimensional Radiological Methods for Age Estimation in Adults by Using the Pulp/Tooth Relation: an Integrative Review

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