Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis
Abstract Lateral cephalograms and related analysis constitute representative methods for orthodontic treatment. However, since conventional cephalometric radiographs display a three-dimensional structure on a two-dimensional plane, inaccuracies may be produced when quantitative evaluation is require...
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| Format: | Article |
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Nature Portfolio
2022-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-25215-0 |
| _version_ | 1811190462063575040 |
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| author | Eun-Ji Chung Byoung-Eun Yang In-Young Park Sangmin Yi Sung-Woon On Young-Hee Kim Sam-Hee Kang Soo-Hwan Byun |
| author_facet | Eun-Ji Chung Byoung-Eun Yang In-Young Park Sangmin Yi Sung-Woon On Young-Hee Kim Sam-Hee Kang Soo-Hwan Byun |
| author_sort | Eun-Ji Chung |
| collection | DOAJ |
| description | Abstract Lateral cephalograms and related analysis constitute representative methods for orthodontic treatment. However, since conventional cephalometric radiographs display a three-dimensional structure on a two-dimensional plane, inaccuracies may be produced when quantitative evaluation is required. Cone-beam computed tomography (CBCT) has minimal image distortion, and important parts can be observed without overlapping. It provides a high-resolution three-dimensional image at a relatively low dose and cost, but still shows a higher dose than a lateral cephalogram. It is especially true for children who are more susceptible to radiation doses and often have difficult diagnoses. A conventional lateral cephalometric radiograph can be obtained by reconstructing the Digital Imaging and Communications in Medicine data obtained from CBCT. This study evaluated the applicability and consistency of lateral cephalograms generated by CBCT using an artificial intelligence analysis program. Group I comprised conventional lateral cephalometric radiographs, group II comprised lateral cephalometric radiographs generated from CBCT using OnDemand 3D, and group III comprised lateral cephalometric radiographs generated from CBCT using Invivo5. All measurements in the three groups showed non-significant results. Therefore, a CBCT scan and artificial intelligence programs are efficient means when performing orthodontic analysis on pediatric or orthodontic patients for orthodontic diagnosis and planning. |
| first_indexed | 2024-04-11T14:51:31Z |
| format | Article |
| id | doaj.art-3f84618b0d54496288863cd4a1876821 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T14:51:31Z |
| publishDate | 2022-11-01 |
| publisher | Nature Portfolio |
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| series | Scientific Reports |
| spelling | doaj.art-3f84618b0d54496288863cd4a18768212022-12-22T04:17:26ZengNature PortfolioScientific Reports2045-23222022-11-011211810.1038/s41598-022-25215-0Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysisEun-Ji Chung0Byoung-Eun Yang1In-Young Park2Sangmin Yi3Sung-Woon On4Young-Hee Kim5Sam-Hee Kang6Soo-Hwan Byun7Department of Conservative Dentistry, Hallym University Sacred Heart HospitalDepartment of Oral and Maxillofacial Surgery, Hallym University Sacred Heart HospitalDepartment of Orthodontics, Hallym University Sacred Heart HospitalDepartment of Oral and Maxillofacial Surgery, Hallym University Sacred Heart HospitalGraduate School of Clinical Dentistry, Hallym UniversityDepartment of Oral and Maxillofacial Radiology, Hallym University Sacred Heart HospitalDepartment of Conservative Dentistry, Hallym University Sacred Heart HospitalDepartment of Oral and Maxillofacial Surgery, Hallym University Sacred Heart HospitalAbstract Lateral cephalograms and related analysis constitute representative methods for orthodontic treatment. However, since conventional cephalometric radiographs display a three-dimensional structure on a two-dimensional plane, inaccuracies may be produced when quantitative evaluation is required. Cone-beam computed tomography (CBCT) has minimal image distortion, and important parts can be observed without overlapping. It provides a high-resolution three-dimensional image at a relatively low dose and cost, but still shows a higher dose than a lateral cephalogram. It is especially true for children who are more susceptible to radiation doses and often have difficult diagnoses. A conventional lateral cephalometric radiograph can be obtained by reconstructing the Digital Imaging and Communications in Medicine data obtained from CBCT. This study evaluated the applicability and consistency of lateral cephalograms generated by CBCT using an artificial intelligence analysis program. Group I comprised conventional lateral cephalometric radiographs, group II comprised lateral cephalometric radiographs generated from CBCT using OnDemand 3D, and group III comprised lateral cephalometric radiographs generated from CBCT using Invivo5. All measurements in the three groups showed non-significant results. Therefore, a CBCT scan and artificial intelligence programs are efficient means when performing orthodontic analysis on pediatric or orthodontic patients for orthodontic diagnosis and planning.https://doi.org/10.1038/s41598-022-25215-0 |
| spellingShingle | Eun-Ji Chung Byoung-Eun Yang In-Young Park Sangmin Yi Sung-Woon On Young-Hee Kim Sam-Hee Kang Soo-Hwan Byun Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis Scientific Reports |
| title | Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis |
| title_full | Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis |
| title_fullStr | Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis |
| title_full_unstemmed | Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis |
| title_short | Effectiveness of cone-beam computed tomography-generated cephalograms using artificial intelligence cephalometric analysis |
| title_sort | effectiveness of cone beam computed tomography generated cephalograms using artificial intelligence cephalometric analysis |
| url | https://doi.org/10.1038/s41598-022-25215-0 |
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