Literature DB >> 17346588

A new craniofacial diagnostic technique: the Sydney diagnostic system.

Stephen J Moate1, Joseph P Geenty, Gang Shen, M Ali Darendeliler.   

Abstract

INTRODUCTION: A new nonradiographic craniofacial imaging technique is described and evaluated. The Sydney diagnostic system (SDS) image is formed from a standardized lateral head digital photograph and a standardized digital photograph of the study models. The SDS image was designed for orthodontic diagnosis and treatment planning without a lateral cephalogram.
METHODS: Measurements from the composite facial and study model images of 35 randomly selected patients were compared with the same measurements from cephalograms to assess their validity and reliability. The measurements involved soft-tissue profile landmarks, landmarks on the ear, and hard-tissue landmarks identified on the study models including Point A, Point B, and dental landmarks. RESULTS AND
CONCLUSIONS: The new imaging technique is reliable and valid for orthodontic treatment planning when compared with a lateral cephalogram if the inherent distortion between images is considered. Most soft-tissue measurements were more reliable than hard-tissue measurements, but some soft-tissue landmarks were less reliable. The ear was a reliable soft-tissue landmark. Maxillary incisor edge was the most reliable hard-tissue landmark, and neither Point A nor Point B could reliably be found on the study model images.

Entities:  

Mesh:

Year:  2007        PMID: 17346588     DOI: 10.1016/j.ajodo.2005.04.047

Source DB:  PubMed          Journal:  Am J Orthod Dentofacial Orthop        ISSN: 0889-5406            Impact factor:   2.650


  6 in total

1.  Facial phenotyping by quantitative photography reflects craniofacial morphology measured on magnetic resonance imaging in Icelandic sleep apnea patients.

Authors:  Kate Sutherland; Richard J Schwab; Greg Maislin; Richard W W Lee; Bryndis Benedikstdsottir; Allan I Pack; Thorarinn Gislason; Sigurdur Juliusson; Peter A Cistulli
Journal:  Sleep       Date:  2014-05-01       Impact factor: 5.849

2.  Cephalometric Variables Prediction from Lateral Photographs Between Different Skeletal Patterns Using Regression Artificial Neural Networks.

Authors:  Saif Mauwafak Ali; Hayder Fadhil Saloom; Mohammed Ali Tawfeeq
Journal:  Turk J Orthod       Date:  2022-06

3.  Reliability of Photogrammetric Landmarks to the Conventional Cephalogram for Analyzing Soft-Tissue Landmarks in Orthodontics.

Authors:  Pragya Jaiswal; Aniruddha Gandhi; Abhinav Raj Gupta; Nidhi Malik; Sanjay Kumar Singh; Kumar Ramesh
Journal:  J Pharm Bioallied Sci       Date:  2021-06-05

4.  Photogrammetric reliability of frontal facial photographs with radiographs and anthropometric measurements.

Authors:  Gunjan Negi; Prasad Chitra
Journal:  J Oral Biol Craniofac Res       Date:  2019-06-19

5.  Facial analysis using a new clinical device: The Kattan Facio-meter.

Authors:  Ehab S El Kattan; Omnia A Elhiny; Mohamed E El Kattan; Aya E El Kattan; Amira Elsheikh
Journal:  J Clin Exp Dent       Date:  2019-01-01

6.  Photographic assessment of cephalometric measurements.

Authors:  Liliane de Carvalho Rosas Gomes; Karla Orfelina Carpio Horta; Luiz Gonzaga Gandini; Marcelo Gonçalves; João Roberto Gonçalves
Journal:  Angle Orthod       Date:  2013-04-18       Impact factor: 2.079

  6 in total

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