Prediction of Skeletal Age Through Cervical Vertebral Measurements Using Different Machine Learning Regression Methods
Although high R2 values were obtained, VSA showed no superiority over CA in the assessment of skeletal age, and no significant clinical advantage was observed. For the Turkish population, using GP age may be more accurate for determining skeletal age in orthodontic treatment planning.
Authors
- Işık Yılmaz (ORCID: https://orcid.org/0000-0001-8750-8736)
- Merve Gonca (ORCID: https://orcid.org/0000-0003-1299-9088)
Institutions
- Turkish Society of Hematology (TR)
Publication Details
- Journal
- Turkish Journal of Orthodontics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.4274/turkjorthod.2025.2024.30
- Citations
- 2
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.35