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Efficacy of Invisalign attachments: A retrospective study
Open accessAbstract
Introduction The purpose of this study was to compare the efficacy of Invisalign's (Align Technology, Santa Clara, Calif) optimized and conventional attachments on rotational and extrusive tooth movements. Methods Initial, predicted, and achieved digital dental models from 100 orthodontic patients were exported from Invisalign's ClinCheck software as stereolithography files and subsequently imported into the Slicer CMF program (version 4.7.0; http://www.slicer.org) for superimpositions on posterior teeth with no planned movement. Rotational and extrusive measurements for both optimized and conventional attachments were made on 382 teeth from the superimposition of the initial and predicted models (predicted movement) and from the superimposed initial and achieved models (achieved movement). Predicted and achieved movements were compared along with movements of teeth with optimized and conventional attachments. Results Differences between accuracies of tooth movements using optimized vs conventional attachments for both rotation and extrusion were neither statistically nor clinically significant. Mean predicted values were larger than mean achieved values for all attachment types and movements (P < 0.0001). For extrusion, the mean difference between predicted and achieved movements was clinically significant (0.40 mm and 0.62 mm for optimized and conventional attachments, respectively). Overall, the mean accuracy was 57.2%. Mean accuracy was 63.2% for rotation and 47.6% for extrusion. Interproximal reduction or spacing did not significantly affect accuracy. Conclusions Conventional attachment types may be just as effective as Invisalign's proprietary optimized attachments for rotations of canines and premolars and extrusion of incisors and canines. Clinicians should consider overcorrecting tooth movements, especially anterior tooth extrusion.
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AI-generated visuals can reach a degree of detail and customization that conventional methods may find hard to equal.
“The research highlights how AI-generated visuals can achieve a level of detail and personalization that traditional methods may struggle to match (Karras et al., 2021).”
From How AI-Generated Images Impact Consumer Perceptions and Brand Identity (2025) · cites this paper as Karras et al., 2021
The Results and Discussion compare optimized and conventional Invisalign attachments for tooth movement, not AI-generated visuals. Searches for AI-generated visuals, image generation, detail, and personalization found no passage addressing the attributed claim; the attachment comparison does not establish a contrary finding about visuals. (LLM, conf=0.78)
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Research works printed but not linked: 10
- Phan, 2007, Clinical limitations of Invisalign, J Can Dent Assoc, 73, 263
- Kravitz, 2009, How well does Invisalign work? A prospective clinical study evaluating the efficacy of tooth movement with Invisalign, Am J Orthod Dentofacial Orthop, 135, 27, 10.1016/j.ajodo.2007.05.018 · DOI
- Buschang, 2015, Predicted and actual end-of-treatment occlusion produced with aligner therapy, Angle Orthod, 85, 723, 10.2319/043014-311.1 · DOI
- Charalampakis, 2018, Accuracy of clear aligners: a retrospective study of patients who needed refinement, Am J Orthod Dentofacial Orthop, 154, 47, 10.1016/j.ajodo.2017.11.028 · DOI
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- Krieger, 2011, Accuracy of Invisalign® treatments in the anterior tooth region. First results, J Orofac Orthop, 72, 141, 10.1007/s00056-011-0017-4 · DOI
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- Simon, 2014, Treatment outcome and efficacy of an aligner technique--regarding incisor torque, premolar derotation and molar distalization, BMC Oral Health, 14, 68, 10.1186/1472-6831-14-68 · DOI
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How AI-Generated Images Impact Consumer Perceptions and Brand Identity
College of Creative Art, U. T. M., Nazrin, N., Isahak Merican, F. M., Faculty of Business and Management, U. T. M. K. B., Taharuddin, N. S., College of Creative Arts, U. T. M. P. B., Ibrahim, N. I., & College of Creative Arts, U. T. M. P. B. (2025) · Idealogy Journal · doi:10.24191/idealogy.v10i1.780 · Cited by 6
Metadata
- Authors
- Karras, T., Singh, M., Karkazis, E., Liu, D., Nimeri, G., & Ahuja, B.
- Affiliations
- Marquette University (US)
- Corresponding author
- Ahuja, Bhoomika
- Venue
- American Journal of Orthodontics and Dentofacial Orthopedics
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 160
- Issue
- 2
- Pages
- 250-258
- ISSN
- 0889-5406 (ISSN-L)
- OpenAlex
- W2966757848
- Cited by
- 95
- References
- 0
- Citations by year
- 2026: 25 · 2025: 26 · 2024: 19 · 2023: 12 · 2022: 12 · 2021: 1
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- Locations
- American Journal of Orthodontics and Dentofacial Orthopedics (publishedVersion)
- PubMed (publishedVersion)
- e-Publications@Marquette (Marquette University) (submittedVersion)
- Topics
- Health Sciences › Dentistry › Orthodontics › Orthodontics and Dentofacial Orthopedics
- Health Sciences › Dentistry › General Dentistry › Dental Trauma and Treatments
- Health Sciences › Dentistry › General Dentistry › Dental materials and restorations
- Keywords
- tooth rotation, tooth extrusion, ClinCheck, interproximal reduction, overcorrection, clear aligners
- MeSH terms
- Humans, Incisor, Orthodontic Appliances, Removable, Retrospective Studies, Tooth Movement Techniques, Orthodontic Appliance Design
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