Department of Orthopedic Surgery, The University of Tokyo Hospital, Tokyo, Japan.
Department of Next Generation Locomotive Imaging System, The University of Tokyo Hospital, Tokyo, Japan.
Spine (Phila Pa 1976). 2023 Sep 15;48(18):1289-1294. doi: 10.1097/BRS.0000000000004658. Epub 2023 Jun 29.
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.
单中心前瞻性观察研究。
阐明一种使用 3 维（3D）人体拟合应用程序和特定运动服的新型脊柱侧凸筛查方法的有用性。
有几种脊柱侧凸筛查方法，如脊柱侧凸计和云纹地形测量法，可用于检测脊柱侧凸。在本研究中，开发了一种使用 3D 人体拟合应用程序和特定运动服的新型脊柱侧凸筛查方法。
入组患者为脊柱侧凸或疑似脊柱侧凸患者、非脊柱侧凸患者和健康志愿者。他们被分为“非脊柱侧凸”和“脊柱侧凸”组。脊柱侧凸组进一步分为“轻度”、“中度”和“重度脊柱侧凸”组。比较非脊柱侧凸组和脊柱侧凸组或非、轻度、中度和重度脊柱侧凸组之间患者的特征和 Z 值，Z 值是通过 3D 人体拟合应用程序和特定运动服创建的 3D 虚拟人体模型计算得出的，用于评估由脊柱侧凸引起的躯干不对称。最后，使用受试者工作特征曲线分析确定 Z 值的最佳截断值以检测中度至重度脊柱侧凸。
共纳入 101 例患者。非脊柱侧凸组 47 例，脊柱侧凸组 54 例，轻度、中度和重度脊柱侧凸组分别为 11 例、31 例和 12 例。脊柱侧凸组的 Z 值明显高于非脊柱侧凸组。中度或重度脊柱侧凸组的 Z 值明显高于非或轻度脊柱侧凸组。受试者工作特征曲线分析显示，Z 值的最佳截断值为 19.9mm（敏感性 95.3%，特异性 58.6%）。
由 3D 人体拟合应用程序和特定运动服组成的新型脊柱侧凸筛查方法可能有助于检测中度至重度脊柱侧凸。
