Quantitative analysis and clinical determinants of orthodontically induced root resorption using automated tooth segmentation from CBCT imaging
This study applied a deep learning model to accurately assess root volume changes using CBCT, revealing significant root volume reduction after orthodontic treatment. It found that underage patients experienced less root resorption, while factors like anterior open bite and deep overbite influenced resorption in specific teeth, though skeletal pattern, overjet, and underbite were not significant predictors.
Authors
- Weifang Zhang (ORCID: https://orcid.org/0000-0002-0769-3749)
- Mengqi Zhou
- Yongjia Wu (ORCID: https://orcid.org/0000-0001-6038-5801)
- Jiaqi Lin (ORCID: https://orcid.org/0000-0003-3195-6569)
- Jiahao Chen (ORCID: https://orcid.org/0009-0007-2621-5308)
- Xiaozhe Wang (ORCID: https://orcid.org/0000-0003-4824-4496)
- Qianhan Zheng
- Xuepeng Chen
- Ting Kang (ORCID: https://orcid.org/0000-0002-5046-2399)
Institutions
- Zhejiang University Medical College Affiliated Stomatological Hospital (CN)
- Stomatology Hospital (CN)
Publication Details
- Journal
- BMC Oral Health
- Published
- 2025-05-08
- DOI
- https://doi.org/10.1186/s12903-025-06052-9
- Citations
- 8
- Primary Topic
- Orthodontics and Dentofacial Orthopedics
- Type
- article
- Field-Weighted Citation Impact
- 13.41
Funders
- Zhejiang University
- Fundamental Research Funds for the Central Universities