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

The present study aims to evaluate the relation between chronological age and the ratio of pulp volume (PV) to enamel volume (EV) of impacted mandibular third molars (IMTMs) by using cone-beam computed tomography (CBCT) images and an improved 3D image segmentation technique. A sample of CBCT images...

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Bibliographic Details
Published in:International journal of legal medicine Vol. 133; no. 6; pp. 1925 - 1933
Main Authors: Zhang, Zhi-yong, Yan, Chun-xia, Min, Qiao-mei, Li, Shao-qing, Yang, Jing-si, Guo, Yu-cheng, Jin, Wen-fan, Li, Lan-jiang, Xing, Pan-Fen, Li, Jun
Format: Journal Article
Language:English
Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.11.2019
Springer Nature B.V
Subjects:
Adult
Age
Age Determination by Teeth - methods
Aged
Algorithms
China
Chronology
Computed tomography
Cone-Beam Computed Tomography
Dental Enamel - diagnostic imaging
Dental Enamel - growth & development
Dental Pulp - diagnostic imaging
Dental Pulp - growth & development
Estimation
Female
Females
Forensic Dentistry - methods
Forensic Medicine
Formulas (mathematics)
Gender
Humans
Image segmentation
Imagery
Male
Males
Mandarin
Mandible
Mathematical analysis
Medical imaging
Medical Law
Medicine
Medicine & Public Health
Middle Aged
Molar, Third - diagnostic imaging
Original Article
Patients
Population genetics
Root-mean-square errors
Segmentation
Teeth
Tomography
Tooth, Impacted - diagnostic imaging
Training
Validity
Young Adult
China
Pulp volume to enamel volume ratio (PEr)
Dental age estimation
Impacted mandibular third molar (IMTM)
Cone-beam computed tomography (CBCT)
Secondary dentin
ISSN:0937-9827, 1437-1596, 1437-1596
Online Access:Get full text
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Summary:The present study aims to evaluate the relation between chronological age and the ratio of pulp volume (PV) to enamel volume (EV) of impacted mandibular third molars (IMTMs) by using cone-beam computed tomography (CBCT) images and an improved 3D image segmentation technique. A sample of CBCT images of IMTM was collected from 414 northern Chinese subjects (214 male and 200 female clinical patients) ranging in age from 20 to 65 years. The GrowCut effect image segmentation (GCEIS) module algorithm was used to calculate the PV and EV from CBCT images. The total sample was divided into a training group and validation group in a ratio of 7 to 3. The PV/EV ratio (PEr) in the training sample was used to develop a mathematical formula for age estimation as follows: age = − 5.817–21.726 × Ln PEr ( p  < 0.0001) (Ln, natural logarithm). The mean absolute error (MAE) and root mean square error (RMSE) were used to determine the precision and accuracy of the mathematical formula in the validation group and all samples. The MAEs in the male, female, and pooled gender samples were 9.223, 7.722, and 8.41, respectively, and the RMSEs in the male, female, and pooled gender samples were 10.76, 9.58, and 9.986, respectively. The precise and accurate results indicate that the PEr of IMTM in CBCT images is a potential index for dental age estimation and is possible to be used in forensic medicine.
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ISSN:0937-9827
1437-1596
1437-1596
DOI:10.1007/s00414-019-02112-2