Objectives: The aims of this study were to assess smile attractiveness of a collection of 68 smiling photographs of successfully treated cases submitted to the American Board of Orthodontics (ABO) clinical examination and identify variables that influence the assessment.
Materials And Methods: A panel of 81 non-Caucasian assessors from various clinical disciplines were instructed to score the smile attractiveness on a visual analog scale from 1 (least attractive) to 10 (most attractive) and to select which components contributed to a lesser attractive smile. The mean, standard deviations (SDs), and quartiles of the smile attractiveness were obtained with descriptive statistics. Multilinear regression analysis was performed to investigate the scores of the perceived quality of smile attractiveness when the clinical disciplines and gender of the assessors were the factors taken into consideration. Receiver operating characteristic (ROC) curve was generated to establish the relationship between smile attractiveness and the achievement of a perfect smile.
Results: The mean (SD) rating of each clinical photograph of the anterior occlusion on smiling ranged from 3.11 (1.47) as the least attractive smile to 7.59 (1.45) as the most attractive smile. The overall mean (SD) score for smile attractiveness was 5.30 (1.10). Problems associated with teeth, gingiva, and lips corresponded with a reduction of the smile attractiveness score by 1.56, 1.82, and 1.47, respectively. Gender was not associated with smile attractiveness ratings. Orthodontists, periodontists, and prosthodontists demonstrated no difference in the ratings, while plastic surgeons were more critical than orthodontists regarding smile attractiveness.
Conclusions: This study suggested that only 2 out of 68 AOB validated treatment finishes had a perfect and attractive smile.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8630961 | PMC |
| http://dx.doi.org/10.1055/s-0041-1726670 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Evaluation of the Relationship Between Facial Measurements and Esthetic Evaluation of the Face in Patients With a Vertical Growth Pattern.
Cureus
January 2025
Department of Orthodontics, School of Dental Sciences, University Sains Malaysia, Kota Bharu, MYS.
Background: Soft tissue specifications and facial values vary depending on the underlying skeletal structures. To achieve the ideal treatment result and patient satisfaction, one must know the attractive soft tissue specifications compatible with each type of malocclusion. This study aims to analyze the facial measurements that contribute to perceived facial attractiveness in patients with vertical growth patterns and skeletal class I malocclusion, focusing on gender-specific differences.
View Article and Find Full Text PDFThe Perception of Unilateral Recessions in the Maxillary Esthetic Zone: A Survey Among Dentists and Non-Professionals.
J Esthet Restor Dent
December 2024
Head Prosthodontics, Akademie für Orale Implantologie (Academy for Oral Implantology), Vienna, Austria.
Statement Of Problem: Esthetic dental features, especially the maxillary anterior teeth, significantly influence perceived attractiveness. Gingival recessions can negatively affect smile esthetics, particularly when asymmetrical.
Purpose: This study aimed to investigate the perception of dentists and non-professionals regarding subtle variations in the apically displaced soft tissue surrounding a lateral or central incisor.
The dance of smiles: Comparing smile synchrony in nondistressed and therapy-seeking couples.
Emotion
December 2024
Department of Psychology, Ben Gurion University of the Negev.
Dyadic affective processes are key determinants of romantic relationship quality. One such process termed emotional synchrony (i.e.
View Article and Find Full Text PDFSmile analysis in dentistry and orthodontics - a review.
J R Soc N Z
February 2024
Discipline of Orthodontics, Faculty of Dentistry, University of Otago, Dunedin, New Zealand.
The desire for an attractive smile is a major reason people seek orthodontic and other forms of cosmetic dental treatment. An understanding of the features of a smile is important for dental diagnosis and treatment planning. The common methods of smile analysis rely on the visual analysis of smile aesthetics using posed photographs, and videos and gathering information about smiles through patient questionnaires and diaries.
View Article and Find Full Text PDFTransformer-based models for chemical SMILES representation: A comprehensive literature review.
Heliyon
October 2024
Chungbuk National University, Department of Computer Engineering, Cheongju, 28644, South Korea.
Pre-trained chemical language models (CLMs) have attracted increasing attention within the domains of cheminformatics and bioinformatics, inspired by their remarkable success in the natural language processing (NLP) domain such as speech recognition, text analysis, translation, and other objectives associated with language. Furthermore, the vast amount of unlabeled data associated with chemical compounds or molecules has emerged as a crucial research focus, prompting the need for CLMs with reasoning capabilities over such data. Molecular graphs and molecular descriptors are the predominant approaches to representing molecules for property prediction in machine learning (ML).
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!