Three-dimensional prediction of the nose for facial reconstruction using cone-beam computed tomography.
The identification of interrelationship between the hard and soft tissues of the face is mandatory for facial reconstruction. The aim of this study was to investigate the relationship between the hard and soft dimensions of the nose and to predict the position of the nose using cone-beam computed tomography (CBCT) scans obtained from 60 adults. Three-dimensional placements of the nasal soft structures (pronasale, subnasale, ala) from the nasal hard structures (nasal bone, nasal cavity) were measured in order to compute the regression equations to find the most probable position of the pronasale, subnasale, and ala. The positions of the pronasale, subnasale, and ala can be predicted using the regression models. These results suggest that hard and soft tissue relation data from CBCT can be useful for predicting the position of nose.
Department of Orthodontics, School of Dentistry, Chonnam National University, Gwangju, South Korea.
Kyung-Min
KM
Lee
Institute of Forensic Science, College of Medicine, Seoul National University, Seoul, South Korea.
Won-Joon
WJ
Lee
Department of Orthodontics, School of Dentistry, Chonnam National University, Gwangju, South Korea.
Jin-Hyoung
JH
Cho
Department of Orthodontics, 4D Dental Research Institute, School of Dentistry, Chonnam National University, Gwangju, South Korea. Electronic address: hhwang@chonnam.ac.kr.
Hyeon-Shik
HS
Hwang
D000328:Adult; D044466:Asian People; D054893:Cone-Beam Computed Tomography; D005260:Female; D018732:Forensic Anthropology; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D009295:Nasal Bone / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D009666:Nose / Q000033:anatomy & histology / Q000000981:diagnostic imaging*; D012044:Regression Analysis; D015203:Reproducibility of Results; D056910:Republic of Korea; D012984:Software
Cone-beam computed tomography; Facial reconstruction; Forensic science; Nose; Three-dimensional prediction