Open AccessFacial Asymmetry Detected with 3D Methods in Orthodontics: A Systematic Review
Author(s) -
Laura Pedersoli,
Domenico Dalessandri,
Ingrid Tonni,
Marino Bindi,
Gaetano Isola,
Bruno Oliva,
Luca Visconti,
Stefano Bonetti
Publication year - 2022
Publication title -
the open dentistry journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 25
ISSN - 1874-2106
DOI - 10.2174/18742106-v16-e2111251
Subject(s) - facial symmetry , asymmetry , orthodontics , computer science , medicine , artificial intelligence , reliability (semiconductor) , medical physics , physics , power (physics) , quantum mechanics
Background: Historically, the development of two-dimensional (2D) imaging techniquesforerun that of three-dimensional (3D) ones. Some 2D methods are still considered valid and effective to diagnose facial asymmetry but 3D techniques may provide more precise and accurate measurements. Objective: The aim of this work is to analyze the accuracy and reliability of the imaging techniques available for the diagnosis of facial asymmetry in orthodontics and find the most reliable. Methods: A search strategy was implemented using PubMed (National Library of Medicine, NCBI). Results: A total of 3201 papers were identified in electronic searches. 90 articles, available in full text, were included in the qualitative synthesis consisting of 8 reviews on the diagnosis of facial asymmetry, 22 in vivo and in vitro studies on 2D methods and 60 in vivo and in vitro studies on 3D methods to quantify the asymmetry. Conclusion: 2D techniques include X-ray techniques such as posterior-anterior cephalogram, which still represents the first level exam in the diagnosis of facial asymmetry. 3D techniques represent the second level exam in the diagnosis of facial asymmetry. The most current used techniques are CBCT, stereophotogrammetry, laser scanning, 3D optical sensors and contact digitization. The comparison between bilateral parameters (linear distances, angles, areas, volumes and contours) and the calculation of an asymmetry index represent the best choices for clinicians who use CBCT. The creation of a color-coded distance map seems to represent the most accurate, reliable and validated methods for clinicians who use stereophotogrammetry, laser scanning and 3D optical sensors.