Validation of the visual body image classification in adolescent idiopathic scoliosis: a retrospective study
- Author:
Han Sol KIM
1
;
Jae Yoon JEONG
;
Yoon Jae CHO
;
Tae Sik GOH
;
Jung Sub LEE
Author Information
- Publication Type:Clinical Study
- From:Asian Spine Journal 2024;18(6):829-835
- CountryRepublic of Korea
- Language:English
-
Abstract:
Methods:From January 1, 2019 to December 31, 2022, 136 patients newly diagnosed with Adolescent idiopathic scoliosis and 124 healthy candidates from our institution were enrolled. This study classified body images into five types based on visual confirmation of the positional relationship of the body. The accuracy of this classification method was identified by calculating its sensitivity, specificity, and reproducibility of this classification method within and between observers according to kappa value.
Results:Overall, 136 patients and 124 control subjects who visited the Pusan National University Hospital, Busan, Korea were photographed and compared by obtaining back images and X-ray radiographs. The sensitivity and specificity of the classification method showed a satisfactory-to-good degree of accuracy, although the degree varies depending on the visual body image type. The classification methods exhibited good intraobserver reliability (κ=0.855) and moderate interobserver reliability (κ=0.751).
Conclusions: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.
