
Guideline for manual classification of the facial profiles by CBCT image
Author(s) -
Elizabeth Oliveira da Costa,
Priscila Dias Peyneau,
Yuri Nejaim,
Joseph M. Caruso,
Gina Delia RoqueTorres
Publication year - 2021
Publication title -
robrac
Language(s) - English
Resource type - Journals
eISSN - 1981-3708
pISSN - 0104-7914
DOI - 10.36065/robrac.v30i89.1490
Subject(s) - cephalometric analysis , cone beam computed tomography , orthodontics , software , cephalometry , computer science , computed tomography , medicine , dentistry , radiology , programming language
Aim: To describes step by step for the procedures for manual cephalometric analysis of the facial profile was performed using the Ricketts' VERT index through software not specific for cephalometric analysis which accepts any DICOM format for cone-beam computed tomography (CBCT) images. Material and methods: The facial profile classification was performed by means of the arithmetic mean of the values obtained (facial axis, facial height, mandibular plane angle, lower facial height and mandibular arch angle). Results: The present step by step can be performed by any CBCT imaging software for manual cephalometric analysis can obtain good results for the Ricketts' VERT. Conclusion: Dentists, undergraduate students, educational institutions and research that does not have access to specific software for cephalometric analysis may use the present methodology.