Assessment Of Smile Index Variation Across Different Malocclusions

The smile index is a valuable characteristic for comparing smiles between individuals or tracking changes over time in the same person. This study aimed to assess the smile index in untreated patients with different types of malocclusions. The study included 60 participants (25 males, 35 females) aged 16 to 35 years, categorized into three groups of 20 participants each, based on the type of malocclusion. Standardized extraoral photographs with a posed smile were taken, and photogrammetric analysis was performed using specialized image analysis software to determine the smile index for each participant. Statistical analysis was conducted using SPSS version 26.0. The overall mean value was 7.05 ± 2.26mm. For p > 0.05, no significant differences were observed between the three classes of malocclusion. The highest average smile index value was observed in Class I (7.44 ± 3.27mm), while the lowest was in Class III (6.83 ± 1.51mm), with F = 0.441, df = 2, and p = 0.646. The smile index for Class II was 6.89 ±1.64mm. The index was significantly higher in males compared to females in Class I (t(18) = 3.275, p = 0.004). In Class II, the difference was not statistically significant, with females showing a slightly higher value (t(18) = 0.710, p = 0.487), and in Class III, no significant difference was observed (t(18) = 0.041, p = 0.968). Orthodontists should consider smile aesthetics during diagnosis, treatment planning, and the selection of treatment methods before initiating orthodontic therapy.

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Publication Details

Journal
International Dental Journal
Published
2025-10-01
DOI
https://doi.org/10.1016/j.identj.2025.105481
Primary Topic
Orthodontics and Dentofacial Orthopedics
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article
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article

Assessment Of Smile Index Variation Across Different Malocclusions

Natasha Longurova, Бруно Николовски, Љупка Арсовски, Sandra Atanasova et al.
International Dental Journal
Orthodontics and Dentofacial Orthopedics
article

Assessment Of Smile Index Variation Across Different Malocclusions

Natasha Longurova, Бруно Николовски, Љупка Арсовски, Sandra Atanasova, Sanja Nashkova, Sofija Carčeva Salja, Verica Toneva Stojmenova, Katerina Zlatanovska, Julija Zarkоva Atanasova, Ljubica Prosheva Pelivanova
article en

Abstract

The smile index is a valuable characteristic for comparing smiles between individuals or tracking changes over time in the same person. This study aimed to assess the smile index in untreated patients with different types of malocclusions. The study included 60 participants (25 males, 35 females) aged 16 to 35 years, categorized into three groups of 20 participants each, based on the type of malocclusion. Standardized extraoral photographs with a posed smile were taken, and photogrammetric analysis was performed using specialized image analysis software to determine the smile index for each participant. Statistical analysis was conducted using SPSS version 26.0. The overall mean value was 7.05 ± 2.26mm. For p > 0.05, no significant differences were observed between the three classes of malocclusion. The highest average smile index value was observed in Class I (7.44 ± 3.27mm), while the lowest was in Class III (6.83 ± 1.51mm), with F = 0.441, df = 2, and p = 0.646. The smile index for Class II was 6.89 ±1.64mm. The index was significantly higher in males compared to females in Class I (t(18) = 3.275, p = 0.004). In Class II, the difference was not statistically significant, with females showing a slightly higher value (t(18) = 0.710, p = 0.487), and in Class III, no significant difference was observed (t(18) = 0.041, p = 0.968). Orthodontists should consider smile aesthetics during diagnosis, treatment planning, and the selection of treatment methods before initiating orthodontic therapy.

International Dental JournalVol. 75
Goce Delcev University (MK)
Openalex Percentile: Top 65%
Orthodontics and Dentofacial Orthopedics
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Assessment Of Smile Index Variation Across Different Malocclusions — Natasha Longurova, Бруно Николовски, et al. · International Dental Journal (2025) | TGRS Research Map | TGRS