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dc.contributor.authorSumon Thitiorulen_US
dc.contributor.authorPasuk Mahakkanukrauhen_US
dc.contributor.authorSukon Prasitwattanasereeen_US
dc.contributor.authorKriskrai Sitthiseripratipen_US
dc.contributor.authorAnak Iamaroonen_US
dc.contributor.authorSakarat Na Lampangen_US
dc.contributor.authorSangsom Prapayasatoken_US
dc.date.accessioned2020-04-02T14:58:25Z-
dc.date.available2020-04-02T14:58:25Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn15564029en_US
dc.identifier.issn00221198en_US
dc.identifier.other2-s2.0-85076849478en_US
dc.identifier.other10.1111/1556-4029.14253en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85076849478&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/67641-
dc.description.abstract© 2019 American Academy of Forensic Sciences Most of the previous studies about nose prediction were concentrated only some landmarks of the nose. This study aimed to generate prediction equations for ten landmarks of the nose in the midline and alar regions for forensic facial approximation. The six midline landmarks were the sellion, nasion–pronasale posterior, nasion–pronasale anterior, pronasale, nasal drop, and subnasale. The four landmarks of the alar region were the alare, superior alar groove, posterior alar groove, and inferior alar groove. We used the skull landmarks in the nasal, zygomatic, and maxillary bone to predict the landmarks of the nose. Cone-beam computed tomography scans of 108 Thai subjects with normal BMI and age ranging from 21.0 to 50.9 years were obtained in a sitting position. The data were converted into three-dimensional (3-D) images of the skull and face. The Cartesian coordinates of the landmarks of the skull and nose were used to formulate the multiple regression equations. The formulated equations were tested in 24 new subjects. The mean differences in the predicted midline landmarks varied between −0.4 mm and 0.5 mm, whereas those for bilateral landmarks varied between −1.0 mm and 1.4 mm. In conclusion, the prediction equations formulated here will be beneficial for facial approximation of the nose in a Thai population.en_US
dc.subjectBiochemistry, Genetics and Molecular Biologyen_US
dc.subjectMedicineen_US
dc.titleThree-Dimensional Prediction of the Nose for Facial Approximation in a Thai Populationen_US
dc.typeJournalen_US
article.title.sourcetitleJournal of Forensic Sciencesen_US
article.stream.affiliationsThailand National Metal and Materials Technology Centeren_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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