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Assessing Normal Smiling Function Through 3D–3D Surfaces Registration: An Innovative Method for the Assessment of Facial Mimicry

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  • Facial Surgery
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Abstract

Smiling has a great importance, both from a functional and an aesthetic point of view. The introduction of modern 3D acquisition and elaboration methods may provide additional help in the evaluation of facial mimicry. This study aims at proposing an innovative method to assess facial and labial movements in different types of smiles. Twenty healthy subjects (10 males, 10 females, mean age 27.5 years, SD 4.5 years), were recorded through a stereophotogrammetric system in neutral position and in three types of smiles: Mona-Lisa smile, canine smile, full-denture smile. All the 3D smiling models were superimposed on the corresponding neutral one and point-to-point root mean square (RMS) differences were computed. Labial surface areas in rest position and during each smile were calculated as well, together with the percentage modification in different types of smile. RMS values (facial and labial models), labial surface areas and percentage modifications were compared through ANCOVA tests to verify possible statistically significant differences according to sex and type of smile (p < 0.05). Intercanthal labial width was considered a covariate. RMS values progressively increased from Mona-Lisa to full-denture smile; statistically significant differences were found among all types of smiles, both for facial and labial models (p < 0.05), while no statistically significant sex and sex × smile interactions were found (p > 0.05). Labial surface and percentage of modification showed statistically significant differences according to both sex and type of smile (p < 0.05). The study provides a novel contribution to the field of sexual dimorphism in smiling.

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Authors and Affiliations

  1. Dipartimento di Scienze Biomediche per la Salute, Università degli Studi di Milano, V. Mangiagalli 31, Milan, Italy

    Valentina Pucciarelli, Daniele Gibelli, Luisa Barni, Nicoletta Gagliano, Claudia Dolci & Chiarella Sforza

Authors
  1. Valentina Pucciarelli
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  2. Daniele Gibelli
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  3. Luisa Barni
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  4. Nicoletta Gagliano
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  5. Claudia Dolci
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  6. Chiarella Sforza
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Correspondence to Daniele Gibelli.

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Pucciarelli, V., Gibelli, D., Barni, L. et al. Assessing Normal Smiling Function Through 3D–3D Surfaces Registration: An Innovative Method for the Assessment of Facial Mimicry. Aesth Plast Surg 42, 456–463 (2018). https://doi.org/10.1007/s00266-017-1028-3

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  • DOI: https://doi.org/10.1007/s00266-017-1028-3

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