Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11822
Title: Human Dental Age Estimation by Calculation of Pulp-Tooth Volume Ratios Yielded on Clinically Acquired Cone Beam Computed Tomography Images of Monoradicular Teeth
Authors: Star, Hazha
Thevissen, Patrick
Jacobs, Reinhilde
FIEUWS, Steffen 
Solheim, Tore
Willems, Guy
Issue Date: 2011
Publisher: WILEY-BLACKWELL PUBLISHING, INC
Source: JOURNAL OF FORENSIC SCIENCES, 56. p. S77-S82
Abstract: Secondary dentine is responsible for a decrease in the volume of the dental pulp cavity with aging. The aim of this study is to evaluate a human dental age estimation method based on the ratio between the volume of the pulp and the volume of its corresponding tooth, calculated on clinically taken cone beam computed tomography (CBCT) images from monoradicular teeth. On the 3D images of 111 clinically obtained CBCT images (Scanora (R) 3D dental cone beam unit) of 57 female and 54 male patients ranging in age between 10 and 65 years, the pulp-tooth volume ratio of 64 incisors, 32 canines, and 15 premolars was calculated with Simplant (R) Pro software. A linear regression model was fit with age as dependent variable and ratio as predictor, allowing for interactions of specific gender or tooth type. The obtained pulp-tooth volume ratios were the strongest related to age on incisors.
Notes: [Star, Hazha; Thevissen, Patrick; Willems, Guy] Katholieke Univ Leuven, Fac Med, Sch Dent, Forens Odontol Dept, B-3000 Louvain, Belgium. [Jacobs, Reinhilde] Katholieke Univ Leuven, Fac Med, Sch Dent, Oral Imaging Ctr, B-3000 Louvain, Belgium. [Fieuws, Steffen] Univ Hasselt, B-3000 Louvain, Belgium. [Solheim, Tore] Univ Oslo, Fac Dent, Dept Oral Biol, N-0316 Oslo, Norway.
Keywords: forensic science; age determination by teeth; cone beam computed tomography; semi-automated CBCT separation and segmentation; secondary dentine; pulp-tooth volume ratio
Document URI: http://hdl.handle.net/1942/11822
ISSN: 0022-1198
e-ISSN: 1556-4029
DOI: 10.1111/j.1556-4029.2010.01633.x
ISI #: 000285840200011
Category: A1
Type: Journal Contribution
Validations: ecoom 2012
Appears in Collections:Research publications

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