脊柱侧凸
医学
医学物理学
人工智能
口腔正畸科
外科
计算机科学
作者
Yusuke Ito,Tôru Doi,Nozomu Ohtomo,Yuki Fujii,Kumiko Ono,Eiichi Kojima,Takashige Yamada,Huy Hoang Tran,François Goffinet,Yui Endo,So Kato,Yoshitaka Matsubayashi,Sakae Tanaka,Yasushi Oshima,Yuki Taniguchi
出处
期刊:Spine
[Ovid Technologies (Wolters Kluwer)]
日期:2023-06-29
卷期号:48 (18): 1289-1294
标识
DOI:10.1097/brs.0000000000004658
摘要
A single-center prospective observational study.To clarify the usefulness of a novel scoliosis screening method using a 3-dimensional (3D) human fitting application and a specific bodysuit.Several scoliosis screening methods, such as scoliometer and Moiré topography, are available for detecting scoliosis. In the present study, a novel screening method for scoliosis using a 3D human fitting application and a specific bodysuit was developed.Patients with scoliosis or suspected scoliosis, patients with non-scoliosis, and healthy volunteers were enrolled. They were divided into "non-scoliosis" and "scoliosis" groups. The scoliosis group was further subdivided into "mild," "moderate," and "severe-scoliosis" groups. Patients' characteristics and Z values, which were calculated by a 3D virtual human body model created by a 3D human fitting application and a specific bodysuit to evaluate trunk asymmetry caused by scoliosis, were compared between the non-scoliosis and scoliosis groups or among the non, mild, moderate and severe-scoliosis groups. Finally, the optimal cutoff of the Z value was determined to detect moderate to severe scoliosis using receiver operating characteristic curve analysis.A total of 101 patients were included. The non-scoliosis group consisted of 47 patients, and the scoliosis group included 54 patients, with 11, 31, and 12 patients in the mild, moderate, and severe-scoliosis groups, respectively. The scoliosis group showed a significantly higher Z value than the non-scoliosis group. The moderate or severe-scoliosis group had a significantly higher Z value than the non or mild-scoliosis group. The receiver operating characteristic curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3% and specificity, 58.6%).A novel scoliosis screening method consisting of a 3D human fitting application and a specific bodysuit may be useful for detecting moderate to severe scoliosis.
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