Literature DB >> 15038490

An evaluation of dynamic lip-tooth characteristics during speech and smile in adolescents.

Marc B Ackerman1, Colleen Brensinger, J Richard Landis.   

Abstract

This retrospective study was conducted to measure lip-tooth characteristics of adolescents. Pretreatment video clips of 1242 consecutive patients were screened for Class-I skeletal and dental patterns. After all inclusion criteria were applied, the final sample consisted of 50 patients (27 boys, 23 girls) with a mean age of 12.5 years. The raw digital video stream of each patient was edited to select a single image frame representing the patient saying the syllable "chee" and a second single image representing the patient's posed social smile and saved as part of a 12-frame image sequence. Each animation image was analyzed using a SmileMesh computer application to measure the smile index (the ratio of the intercommissure width divided by the interlabial gap), intercommissure width (mm), interlabial gap (mm), percent incisor below the intercommissure line, and maximum incisor exposure (mm). The data were analyzed using SAS (version 8.1). All recorded differences in linear measures had to be > or = 2 mm. The results suggest that anterior tooth display at speech and smile should be recorded independently but evaluated as part of a dynamic range. Asking patients to say "cheese" and then smile is no longer a valid method to elicit the parameters of anterior tooth display. When planning the vertical positions of incisors during orthodontic treatment, the orthodontist should view the dynamics of anterior tooth display as a continuum delineated by the time points of rest, speech, posed social smile, and a Duchenne smile.

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Year:  2004        PMID: 15038490     DOI: 10.1043/0003-3219(2004)074<0043:AEODLC>2.0.CO;2

Source DB:  PubMed          Journal:  Angle Orthod        ISSN: 0003-3219            Impact factor:   2.079


  12 in total

1.  Perception of adults' smile esthetics among orthodontists, clinicians and laypeople.

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Journal:  Dental Press J Orthod       Date:  2015 Jan-Feb

2.  Clinical photography vs digital video clips for the assessment of smile esthetics.

Authors:  Brian J Schabel; Tiziano Baccetti; Lorenzo Franchi; James A McNamara
Journal:  Angle Orthod       Date:  2010-07       Impact factor: 2.079

3.  Perception of Smile Esthetics by Orthodontists and Laypersons: Full Face and A Localized View of The Social and Spontaneous Smiles.

Authors:  Furkan Dindaroğlu; Aslıhan M Ertan Erdinç; Servet Doğan
Journal:  Turk J Orthod       Date:  2016-09-01

4.  An orthodontic analysis of the smile dynamics with videography.

Authors:  Adithi Rao; Anand Badavannavar; Aditya Acharya
Journal:  J Oral Biol Craniofac Res       Date:  2021-01-06

5.  Assessment of dynamic smile and gingival contour in young Chinese people.

Authors:  Yan-Ling Zhang; Di Le; Wen-Jie Hu; Hao Zhang; Ling-Zhi Liang; Kwok-Hung Chung; Zhan-Qiang Cao
Journal:  Int Dent J       Date:  2015-07-14       Impact factor: 2.607

6.  Software design for smile analysis.

Authors:  A Sodagar; R Rafatjoo; D Gholami Borujeni; H Noroozi; A Sarkhosh
Journal:  J Dent (Tehran)       Date:  2010-09-30

7.  Age- and gender-related incisor changes in different vertical craniofacial relationships.

Authors:  Amal I Linjawi
Journal:  J Orthod Sci       Date:  2016 Oct-Dec

8.  Dental Videographic Analysis using Digital Age Media.

Authors:  Anirudh Agarwal; Karan Seth; Siddharaj Parmar; Rahul Jhawar
Journal:  Int J Clin Pediatr Dent       Date:  2016-12-05

9.  Laser-assisted lip repositioning surgery: Novel approach to treat gummy smile.

Authors:  Sana Farista; Ramreddy Yeltiwar; Butchibabu Kalakonda; Kaustubh Suresh Thakare
Journal:  J Indian Soc Periodontol       Date:  2017 Mar-Apr

10.  Factors affecting smile esthetics in adults with different types of anterior overjet malocclusion.

Authors:  Hsin-Chung Cheng; Pei-Chin Cheng
Journal:  Korean J Orthod       Date:  2016-12-19       Impact factor: 1.372

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