Literature DB >> 19577148

A nonradiographic approach to detect Class III skeletal discrepancies.

Christine Bettina Staudt1, Stavros Kiliaridis.   

Abstract

INTRODUCTION: Because of the hereditary nature of Class III malocclusion, relatives of affected subjects often ask for a consultation. To estimate the degree of skeletal manifestation without exposing them to radiation, an alternative to lateral cephalograms would be valuable for preliminary diagnosis. Thus, we aimed to assess the validity of profile photographs to detect skeletal Class III discrepancy.
METHODS: Profile photographs and lateral cephalograms were available from 42 young white men, 29 with Class III malocclusion and 13 with Class I. A computer-based analysis was performed including hard-tissue variables on cephalograms and soft-tissue variables on photographs
RESULTS: Soft-tissue facial characteristics showed strong correlations with several skeletal structures of skeletal Class III subjects (r > or = 0.7, P < 0.001). Thus, soft-tissue A'N'B', A'N'Pog', and N'A'/A'Pog' were highly related to skeletal ANB, ANPog, and NA/APog. Vertically, soft- and hard-tissue lower anterior face heights were strongly correlated. A soft-tissue A'N'B' angle of 6 degrees is the critical value below which skeletal Class III can be implied (sensitivity, 90.5%; specificity, 81.0%). This finding was validated among female subjects.
CONCLUSIONS: A profile photograph can show with high probability a skeletal Class III discrepancy and might be useful for diagnosis during the initial consultation.

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Year:  2009        PMID: 19577148     DOI: 10.1016/j.ajodo.2007.07.025

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


  8 in total

1.  3D soft tissue analysis--part 2: vertical parameters.

Authors:  Janka Kochel; Philipp Meyer-Marcotty; Michael Kochel; Susanne Schneck; Angelika Stellzig-Eisenhauer
Journal:  J Orofac Orthop       Date:  2010-05-26       Impact factor: 1.938

2.  Photogrammetric Correlation of Face with Frontal Radiographs and Direct Measurements.

Authors:  Gunjan Negi; Swaroopa Ponnada; N K S Aravind; Prasad Chitra
Journal:  J Clin Diagn Res       Date:  2017-05-01

3.  Photographic Assessment of Cephalometric Measurements in Skeletal Class II Cases: A Comparative Study.

Authors:  Pooja Mehta; Roshan M Sagarkar; Silju Mathew
Journal:  J Clin Diagn Res       Date:  2017-06-01

4.  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

5.  Maximal bite force, facial morphology and sucking habits in young children with functional posterior crossbite.

Authors:  Paula Midori Castelo; Maria Beatriz Duarte Gavião; Luciano José Pereira; Leonardo Rigoldi Bonjardim
Journal:  J Appl Oral Sci       Date:  2010 Mar-Apr       Impact factor: 2.698

6.  Comparative assessment of cephalometric with its analogous photographic variables.

Authors:  Shraddha Gupta; Pradeep Tandon; Gyan P Singh; Dipti Shastri
Journal:  Natl J Maxillofac Surg       Date:  2022-04-20

7.  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

8.  Correlation between occlusal abnormalities and parameters investigated by three-dimensional facial photography.

Authors:  Arnim Godt; Till Edward Bechtold; Edgar Schaupp; Claudia Zeyher; Bernd Koos; Eva Baas; Mirjam Berneburg
Journal:  Angle Orthod       Date:  2013-03-08       Impact factor: 2.079

  8 in total

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