| Title: | Prediction of Cobb Angle Using Deep Learning Algorithm with Three-Dimensional Depth Sensor Considering the Influence of Garment in Idiopathic Scoliosis |
| Authors: | Ishikawa, Yoko Browse this author |
| Kokabu, Terufumi Browse this author |
| Yamada, Katsuhisa Browse this author |
| Abe, Yuichiro Browse this author |
| Tachi, Hiroyuki Browse this author |
| Suzuki, Hisataka Browse this author |
| Ohnishi, Takashi Browse this author |
| Endo, Tsutomu Browse this author |
| Ukeba, Daisuke Browse this author |
| Ura, Katsuro Browse this author |
| Takahata, Masahiko Browse this author |
| Iwasaki, Norimasa Browse this author →KAKEN DB |
| Sudo, Hideki Browse this author →KAKEN DB |
| Keywords: | adolescent idiopathic scoliosis |
| deep learning algorithm |
| three-dimensional depth sensor |
| underwear |
| Issue Date: | 7-Jan-2023 |
| Publisher: | MDPI |
| Journal Title: | Journal of clinical medicine |
| Volume: | 12 |
| Issue: | 2 |
| Start Page: | 499 |
| Publisher DOI: | 10.3390/jcm12020499 |
| Abstract: | Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal deformity. Early detection of deformity and timely intervention, such as brace treatment, can help inhibit progressive changes. A three-dimensional (3D) depth-sensor imaging system with a convolutional neural network was previously developed to predict the Cobb angle. The purpose of the present study was to (1) evaluate the performance of the deep learning algorithm (DLA) in predicting the Cobb angle and (2) assess the predictive ability depending on the presence or absence of clothing in a prospective analysis. We included 100 subjects with suspected AIS. The correlation coefficient between the actual and predicted Cobb angles was 0.87, and the mean absolute error and root mean square error were 4.7 degrees and 6.0 degrees, respectively, for Adam's forward bending without underwear. There were no significant differences in the correlation coefficients between the groups with and without underwear in the forward-bending posture. The performance of the DLA with a 3D depth sensor was validated using an independent external validation dataset. Because the psychological burden of children and adolescents on naked body imaging is an unignorable problem, scoliosis examination with underwear is a valuable alternative in clinics or schools. |
| Type: | article |
| URI: | http://hdl.handle.net/2115/88848 |
| Appears in Collections: | 医学院・医学研究院 (Graduate School of Medicine / Faculty of Medicine) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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