Validation of the visual body image classification in adolescent idiopathic scoliosis: a retrospective study
Our classification method showed a high degree of sensitivity and specificity (98.1% sensitivity, 98.9% specificity, and 98.4% accuracy) while exhibiting high reproducibility and ease of access. Based on our findings, we believe that our classification method can be used for scoliosis screening.
Authors
- Yoon Jae Cho (ORCID: https://orcid.org/0000-0002-7231-4258)
- Jung Sub Lee (ORCID: https://orcid.org/0000-0002-2742-1601)
- Tae Sik Goh (ORCID: https://orcid.org/0000-0003-1861-5647)
- Han Sol Kim (ORCID: https://orcid.org/0000-0002-6605-4912)
- Jae Yoon Jeong
Institutions
- Pusan National University Hospital (KR)
Publication Details
- Journal
- Asian Spine Journal
- Published
- 2024-12-10
- DOI
- https://doi.org/10.31616/asj.2024.0201
- Citations
- 4
- Primary Topic
- Scoliosis diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 2.29
Funders
- Pusan National University