Literature DB >> 22849636

Comparison of two-dimensional and three-dimensional images for phenotypic assessment of craniofacial microsomia.

Craig B Birgfeld, Babette S Saltzman, Daniela V Luquetti, Kerry Latham, Jackie R Starr, Carrie L Heike.   

Abstract

Background and Purpose :  Three-dimensional surface imaging is used in many craniofacial centers. However, few data exist to indicate whether such systems justify their cost. Craniofacial microsomia is associated with wide phenotypic variability and can affect most facial features. The purpose of this study is to compare three-dimensional versus two-dimensional images for classification of facial features in individuals with craniofacial microsomia. Methods :  We obtained a series of two-dimensional and three-dimensional images of 50 participants, aged 0-20 years, diagnosed with craniofacial microsomia, microtia, or Goldenhar syndrome. Three clinicians classified the craniofacial features on each image, and ratings were compared by calculating kappa statistics. We also evaluated image quality using a 5-point Likert scale. Results :  Reliability estimates were high for most features using both two-dimensional and three-dimensional image data. Our three-dimensional protocol did not allow for scoring of facial animation, occlusal cant, or tongue anomalies. Image quality scores for the mandible and soft tissue assessment were higher for three-dimensional images. Raters preferred two-dimensional photographs for assessment of the ear, ear canal, and eyes. Conclusions :  Both three-dimensional and two-dimensional images provide useful data for objective characterization of the craniofacial features affected in craniofacial microsomia. A series of two-dimensional images has relative advantages for assessment of some specific features, such as the ear, though three-dimensional images may have advantages for quantitative analysis and qualitative assessment of deformities of the jaw and soft tissue. These results should apply to any assessment of these features with or without a craniofacial microsomia diagnosis.

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Year:  2012        PMID: 22849636     DOI: 10.1597/11-173

Source DB:  PubMed          Journal:  Cleft Palate Craniofac J        ISSN: 1055-6656


  6 in total

1.  Intelligence and Academic Achievement of Adolescents with Craniofacial Microsomia.

Authors:  Matthew L Speltz; Erin R Wallace; Brent R Collett; Carrie L Heike; Daniela V Luquetti; Martha M Werler
Journal:  Plast Reconstr Surg       Date:  2017-09       Impact factor: 4.730

Review 2.  Three-dimensional imaging of soft and hard facial tissues in patients with craniofacial syndromes: a systematic review of methodological quality.

Authors:  Arianne Lewyllie; Maria Cadenas De Llano-Pérula; Anna Verdonck; Guy Willems
Journal:  Dentomaxillofac Radiol       Date:  2017-12-18       Impact factor: 2.419

3.  Speech, Language, and Communication Skills of Adolescents With Craniofacial Microsomia.

Authors:  Brent R Collett; Kathy Chapman; Erin R Wallace; Sara L Kinter; Carrie L Heike; Matthew L Speltz; Martha Werler
Journal:  Am J Speech Lang Pathol       Date:  2019-10-03       Impact factor: 2.408

4.  Simultaneous, radiation-free registration of the dentoalveolar position and the face by combining 3D photography with a portable scanner and impression-taking.

Authors:  Lucas M Ritschl; Klaus-Dietrich Wolff; Pia Erben; Florian D Grill
Journal:  Head Face Med       Date:  2019-11-25       Impact factor: 2.151

5.  Validation of the Portable Next-Generation VECTRA H2 3D Imaging System for Periocular Anthropometry.

Authors:  Wanlin Fan; Yongwei Guo; Xiaoyi Hou; Jinhua Liu; Senmao Li; Sitong Ju; Philomena Alice Wawer Matos; Michael Simon; Alexander C Rokohl; Ludwig M Heindl
Journal:  Front Med (Lausanne)       Date:  2022-03-11

6.  Reliable classification of facial phenotypic variation in craniofacial microsomia: a comparison of physical exam and photographs.

Authors:  Craig B Birgfeld; Carrie L Heike; Babette S Saltzman; Brian G Leroux; Kelly N Evans; Daniela V Luquetti
Journal:  Head Face Med       Date:  2016-03-31       Impact factor: 2.151

  6 in total

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