Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing
Objectives: To compare 3D cephalometric analysis performed using AI with that conducted manually by a specialist orthodontist. Methods: The CBCT scans (a field of view of 15 × 15 cm) used in the study were obtained from 30 consecutive patients, aged 18 to 50. The 3D cephalometric analysis was conduc...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-11-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/14/22/2524 |
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| author | Zurab Khabadze Oleg Mordanov Ekaterina Shilyaeva |
| author_facet | Zurab Khabadze Oleg Mordanov Ekaterina Shilyaeva |
| author_sort | Zurab Khabadze |
| collection | DOAJ |
| description | Objectives: To compare 3D cephalometric analysis performed using AI with that conducted manually by a specialist orthodontist. Methods: The CBCT scans (a field of view of 15 × 15 cm) used in the study were obtained from 30 consecutive patients, aged 18 to 50. The 3D cephalometric analysis was conducted using two methods. The first method involved manual tracing performed with the Invivo 6 software (Anatomage Inc., Santa Clara, CA, USA). The second method involved using AI for cephalometric measurements as part of an orthodontic report generated by the Diagnocat system (Diagnocat Ltd., San Francisco, CA, USA). Results: A statistically significant difference within one standard deviation of the parameter was found in the following measurements: SNA, SNB, and the left interincisal angle. Statistically significant differences within two standard deviations were noted in the following measurements: the right and left gonial angles, the left upper incisor, and the right lower incisor. No statistically significant differences were observed beyond two standard deviations. Conclusions: AI in the form of Diagnocat proved to be effective in assessing the mandibular growth direction, defining the skeletal class, and estimating the overbite, overjet, and Wits parameter. |
| format | Article |
| id | doaj-art-1f328dbc74594dba89ade66a2bc0e9ec |
| institution | Kabale University |
| issn | 2075-4418 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj-art-1f328dbc74594dba89ade66a2bc0e9ec2024-11-26T17:59:45ZengMDPI AGDiagnostics2075-44182024-11-011422252410.3390/diagnostics14222524Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual TracingZurab Khabadze0Oleg Mordanov1Ekaterina Shilyaeva2Department of Therapeutic Dentistry, Peoples’ Friendship University of Russia Named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, RussiaDepartment of Therapeutic Dentistry, Peoples’ Friendship University of Russia Named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, RussiaDepartment of Therapeutic Dentistry, Peoples’ Friendship University of Russia Named after Patrice Lumumba (RUDN University), 6 Miklukho-Maklaya St., 117198 Moscow, RussiaObjectives: To compare 3D cephalometric analysis performed using AI with that conducted manually by a specialist orthodontist. Methods: The CBCT scans (a field of view of 15 × 15 cm) used in the study were obtained from 30 consecutive patients, aged 18 to 50. The 3D cephalometric analysis was conducted using two methods. The first method involved manual tracing performed with the Invivo 6 software (Anatomage Inc., Santa Clara, CA, USA). The second method involved using AI for cephalometric measurements as part of an orthodontic report generated by the Diagnocat system (Diagnocat Ltd., San Francisco, CA, USA). Results: A statistically significant difference within one standard deviation of the parameter was found in the following measurements: SNA, SNB, and the left interincisal angle. Statistically significant differences within two standard deviations were noted in the following measurements: the right and left gonial angles, the left upper incisor, and the right lower incisor. No statistically significant differences were observed beyond two standard deviations. Conclusions: AI in the form of Diagnocat proved to be effective in assessing the mandibular growth direction, defining the skeletal class, and estimating the overbite, overjet, and Wits parameter.https://www.mdpi.com/2075-4418/14/22/2524artificial intelligence3D cephalometryDiagnocat |
| spellingShingle | Zurab Khabadze Oleg Mordanov Ekaterina Shilyaeva Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing Diagnostics artificial intelligence 3D cephalometry Diagnocat |
| title | Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing |
| title_full | Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing |
| title_fullStr | Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing |
| title_full_unstemmed | Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing |
| title_short | Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing |
| title_sort | comparative analysis of 3d cephalometry provided with artificial intelligence and manual tracing |
| topic | artificial intelligence 3D cephalometry Diagnocat |
| url | https://www.mdpi.com/2075-4418/14/22/2524 |
| work_keys_str_mv | AT zurabkhabadze comparativeanalysisof3dcephalometryprovidedwithartificialintelligenceandmanualtracing AT olegmordanov comparativeanalysisof3dcephalometryprovidedwithartificialintelligenceandmanualtracing AT ekaterinashilyaeva comparativeanalysisof3dcephalometryprovidedwithartificialintelligenceandmanualtracing |