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| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Cheung, Kwantong Cheung, Waisze Liu, Yunsong Ye, Hongqiang Lv, Longwei Zhou, Yongsheng |
| Abstract | Background In esthetic dentistry, a thorough esthetic analysis holds significant role in both diagnosing diseases and designing treatment plans. This study established a 3D esthetic analysis workflow based on 3D facial and dental models, and aimed to provide an imperative foundation for the artificial intelligent 3D analysis in future esthetic dentistry. Methods The established 3D esthetic analysis workflow includes the following steps: 1) key point detection, 2) coordinate system redetermination and 3) esthetic parameter calculation. The accuracy and reproducibility of this established workflow were evaluated by a self-controlled experiment (n = 15) in which 2D esthetic analysis and direct measurement were taken as control. Measurement differences between 3D and 2D analysis were evaluated with paired t-tests. Results 3D esthetic analysis demonstrated high consistency and reliability (0.973 < ICC < 1.000). Compared with 2D measurements, the results from 3D esthetic measurements were closer to direct measurements regarding tooth-related esthetic parameters (P<0.05). Conclusions The 3D esthetic analysis workflow established for 3D virtual patients demonstrated a high level of consistency and reliability, better than 2D measurements in the precision of tooth-related parameter analysis. These findings indicate a highly promising outlook for achieving an objective, precise, and efficient esthetic analysis in the future, which is expected to result in a more streamlined and user-friendly digital design process. This study was registered with the Ethics Committee of Peking University School of Stomatology in September 2021 with the registration number PKUSSIRB-202168136. |
| Related Links | https://bmcoralhealth.biomedcentral.com/counter/pdf/10.1186/s12903-024-04085-0.pdf |
| Ending Page | 11 |
| Page Count | 11 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| ISSN | 14726831 |
| DOI | 10.1186/s12903-024-04085-0 |
| Journal | BMC Oral Health |
| Issue Number | 1 |
| Volume Number | 24 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-03-13 |
| Access Restriction | Open |
| Subject Keyword | Dentistry Oral and Maxillofacial Surgery 3D esthetic analysis Digital dentistry Dental Esthetic 3D virtual patient Artificial intelligence |
| Content Type | Text |
| Resource Type | Article |
| Subject | Dentistry |
| Journal Impact Factor | 2.6/2023 |
| 5-Year Journal Impact Factor | 3.2/2023 |
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