Benefits of Digital Smile Design (DSD) in the conception of a complex orthodontic treatment plan: A case report-proof of concept

Charavet, Carole; Bernard, J.; Gaillard, Cyril; Gall, Michel Le

doi:10.1016/j.ortho.2019.06.019

Cited by 20 publications

(15 citation statements)

References 7 publications

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“…An additional feature of DSD is that it enables analysis of the proportions and aesthetics of teeth, smile and face, and allows the feasibility of enhancing the certainty of concluding plan outcome. [ 4 ]…”

Section: Introductionmentioning

confidence: 99%

Evaluation of smile characteristics of skeletal Class III compared to skeletal Class I female adults

Nouh¹,

Majeed

Selim

2021

J Orthodont Sci

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OBJECTIVE: Esthetic enhancement plays an important role in orthodontic treatment. This study was conducted on females as most girls have their growth spurt at a younger age than boys do, so their demand to facial esthetics, especially those who have residual growth of mandible producing class III effect, requires full understanding to smile features helping in diagnosis and treatment planning for maximum patient satisfaction. MATERIALS AND METHODS: This study was conducted on 30 skeletal Class III and Class I female adults (18–30 years old) who were divided equally into two groups comprising 15 each. Two frontal digital photographs were taken for each subject, one at rest and the other in the posed smile position. Photographs were taken for each subject in the natural head position by a Canon EOS 1200 D camera set on a tripod at a distance of 1.5 m. The incisogingival height of the right maxillary central incisor was clinically measured using a vernier caliper to the nearest 0.1 mm. Photographs were uploaded on Photoshop software for standardization and then uploaded on the Digital Smile Design software (DSD) where the actual incisogingival height of the central incisor was used for automatic calibration. Esthetic components at rest and on smiling were measured for both groups; all linear variables were measured to the nearest 0.1 mm. RESULTS: Class III females tended to have wider smile widths, less gingival display, longer chin heights, shorter lower vertical dimensions, and a higher percentage of nonconsonant and flat smile arcs than Class I subjects. CONCLUSIONS: The components of the smile should be considered as a guide to help in planning and designing the mechanics during comprehensive orthodontic treatment.

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Section: Introductionmentioning

confidence: 99%

Evaluation of smile characteristics of skeletal Class III compared to skeletal Class I female adults

Nouh¹,

Majeed

Selim

2021

J Orthodont Sci

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“…One of the most impressive innovations of the last few years was the introduction of digital smile design, 11 a tool able to help communication between patients and dentists and to enhance predisposition of patients, and now widely used in dental practice.…”

Section: Discussionmentioning

confidence: 99%

“…[7][8][9][10] Digital Smile Design works on photographs of patient's smile and face through a software allowing modification of shape, color, and position of teeth and soft tissues. 11 It can be applied in different fields of aesthetic dentistry such as for reconstructions or modifications of anterior dentition, as a planning tool for prosthetic workflow, and orthodontics and periodontics treatments. 1,12 The most used software to perform DSD are, at the moment, Keynote (iWork, Apple, Cupertino, CA, USA) and PowerPoint (Microsoft Office, Microsoft, Redmond, WA, USA), free software enabling a large number of modifications on digital photos.…”

Section: Introductionmentioning

confidence: 99%

<p>Aesthetic Dentistry, How You Say and How You See: A 500-People Survey on Digital Preview and Color Perception</p>

Zotti

Pappalardo

Capocasale

et al. 2020

CCIDE

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Digital technologies have improved ways to perform aesthetic dentistry in the last few years. The aims of this survey were to investigate the most preferred way to preview the result of an aesthetic dental rehabilitation among a population of dental professionals and laypeople and to compare aesthetic standards of the general population and dentists in terms of the color of teeth for aesthetic dental rehabilitations. Patients and Methods: A questionnaire was sent to the subjects (dentists and laypeople) during a 1-year period and, together with their demographic data, different ways to preview the result of an aesthetic rehabilitation were submitted, such as digital smile design, dental wax-up and oral explanation. Furthermore, an additional section of the questionnaire investigated the most suitable color for an aesthetic rehabilitation based on the colors of the VITA Scale. Results were statistically analyzed (with Chi-square of independence and Mann-Whitney U-test) highlighting differences of answers based on age groups, educational attainment, gender, and belonging or not to the dental field. Results: Findings showed that digital smile design (digital preview) is a high-appreciated method for previewing and communicating with patients both by dental professionals and laypeople. Furthermore, lighter colors were found to be more valued by laypeople and significant differences were highlighted between the two populations assessed. Conclusion: It seems to be viable to use digital preview for dentists and laypeople to improve previewing and communicating ways. It might be advisable to better motivate patients in recognizing aesthetical features and to raise their awareness in preferring more mimetic aesthetic results. Great opportunities are opened up by digital smile design in teaching, learning, and routine practice.

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“…Through this technology, dental technicians can obtain useful information for designing the prosthesis, such as the patient's appearance, skin tone and whether the facial midline and the dental midline are parallel, without having to face the patient directly by using the photograph taken from the front. In addition, this technology assists in improving communication between dentists and dental technicians [12,13].…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Precision of Automatic Segmentation of Teeth, Gingiva and Facial Landmarks for 2D Digital Smile Design Using Real-Time Instance Segmentation Network

Lee

Kim

2022

JCM

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Digital smile design (DSD) technology, which takes pictures of patients’ faces together with anterior dentition and uses them for prosthesis design, has been recently introduced. However, the limitation of DSD is that it evaluates a patient with only one photograph taken in a still state, and the patient’s profile cannot be observed from various viewpoints. Therefore, this study aims to segment the patient’s anterior teeth, gingiva and facial landmarks using YOLACT++. We trained YOLACT++ on the annotated data of the teeth, lips and gingiva from the Flickr-Faces-HQ (FFHQ) data. We evaluated that the model trained by 2D candid facial images for the detection and segmentation of smile characteristics. The results show the possibility of an automated smile characteristic identification system for the automatic and accurate quantitative assessment of a patient’s smile.

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Benefits of Digital Smile Design (DSD) in the conception of a complex orthodontic treatment plan: A case report-proof of concept

Cited by 20 publications

References 7 publications

Evaluation of smile characteristics of skeletal Class III compared to skeletal Class I female adults

Evaluation of smile characteristics of skeletal Class III compared to skeletal Class I female adults

<p>Aesthetic Dentistry, How You Say and How You See: A 500-People Survey on Digital Preview and Color Perception</p>

Evaluating the Precision of Automatic Segmentation of Teeth, Gingiva and Facial Landmarks for 2D Digital Smile Design Using Real-Time Instance Segmentation Network

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