ArticleJournal of dental research, dental clinics, dental prospects2025
Smartphone-based 3D facial scanning applications in orthodontic diagnosis: A cross-sectional study.
Article in Journal of dental research, dental clinics, dental prospects, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- The Relationship Between Body Dysmorphic Disorder and Orthodontic Treatment Need: A Systematic Review.Journal of personalized medicine · 2026Review
- Camera-Based Monocular Depth Estimation in Orthodontics: Vision Transformer vs. CNN Model Performance.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Innovations in smartphone technology have transformed diagnostics in healthcare. In orthodontics, these applications can serve as potential diagnostic tools. The present study analyzed the accuracy of two smartphone-based face scanners compared to a standard CBCT-based facial scanner and evaluated scanning duration, user experience, and preferences for orthodontic diagnostics. Methods: This cross-sectional study included 15 individuals aged 18-25 years. Each participant was scanned with a CBCT-based scanner (group 1), SureScan 3D App (group 2), and QLone App (group 3). Accuracy was assessed by superimposing scans using MeshLab and Geomagic Control X software. Scanning duration was recorded. Additionally, 30 orthodontists completed a questionnaire to evaluate user experience with face scans. ANOVA and Kruskal-Wallis tests compared the accuracy and scanning duration, respectively, while the Mann-Whitney U test was used to assess region-based reproducibility. Results: Smartphone-based apps showed overall accuracy comparable to the conventional scanner ( Conclusion: Smartphone face scanning applications offer accuracy comparable to standard scanners with reduced scanning times. They provide a cost-efficient and reliable alternative to traditional scanners for orthodontic documentation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.