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A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging

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 sc...

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Published in:Spine (Philadelphia, Pa. 1976) Pa. 1976), 2023-09, Vol.48 (18), p.1289-1294
Main Authors: Ito, Yusuke, Doi, Toru, Ohtomo, Nozomu, Fujii, Yuki, Ono, Kengo, Kojima, Eri, Yamada, Takayasu, Tran, Huy Hoang, Goffinet, Francois, Endo, Yui, Kato, So, Matsubayashi, Yoshitaka, Tanaka, Sakae, Oshima, Yasushi, Taniguchi, Yuki
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container_issue 18
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container_title Spine (Philadelphia, Pa. 1976)
container_volume 48
creator Ito, Yusuke
Doi, Toru
Ohtomo, Nozomu
Fujii, Yuki
Ono, Kengo
Kojima, Eri
Yamada, Takayasu
Tran, Huy Hoang
Goffinet, Francois
Endo, Yui
Kato, So
Matsubayashi, Yoshitaka
Tanaka, Sakae
Oshima, Yasushi
Taniguchi, Yuki
description 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, non-scoliosis patients, 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. 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 characteristics (ROC) 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 ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; 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.
doi_str_mv 10.1097/BRS.0000000000004658
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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, non-scoliosis patients, 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. 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 characteristics (ROC) 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 ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%). 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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, non-scoliosis patients, 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. 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 characteristics (ROC) 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 ROC curve analysis revealed that the optimal cutoff of the Z value was 19.9 mm (sensitivity, 95.3%; specificity, 58.6%). 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title A Novel Screening Method for Scoliosis Using A Bodysuit and 3-dimensional Imaging
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