Department of Orthopaedics and Traumatology, Veterans General Hospital, Taipei, Taiwan.
Graduate Institute of Medical Mechatronics, Department of Mechanical Engineering, Chang Gung University, Taoyuan, Taiwan.
Biomed Eng Online. 2017 Dec 4;16(1):136. doi: 10.1186/s12938-017-0427-7.
Adolescent idiopathic scoliosis, in which obvious curves are visible in radiographic images, is also seen in combination with lumps in the back. These lumps contribute to inclination, which can be measured by a scoliometer. To the authors' knowledge, there are no previous formulas combining thoracic and lumbar scoliometer values simultaneously to predict thoracic and lumbar Cobb angles, respectively. This study aimed to create more accurate two-parameter mathematical formulas for predicting thoracic and lumbar Cobb angles.
Between Dec. 2012 and Jan. 2013, patients diagnosed with idiopathic scoliosis in an outpatient clinic were enrolled. The maximal trunk rotations at the thoracic and lumbar regions were recorded with a scoliometer. Right asymmetry hump was deemed positive (+), and left asymmetry hump was deemed negative (-). The Cobb angles were measured with a Picture Archiving and Communication System. Statistical analysis included Pearson's correlation coefficient, multivariate regression and Bland-Atman analysis.
One-hundred and one patients were enrolled in our study. The average thoracic curve (TC) was 23.3 ± 1.8°, while the average lumbar curve (LC) was - 23.3 ± 1.4°. The thoracic inclination (TI) and lumbar inclination (LI) were 4.5 ± 0.7 and - 5.9 ± 0.6, respectively. The one-parameter formula for the thoracic curve was TC = 2.0 TI + 14.3 (r = 0.813); for the lumbar curve, it was LC = 0.9 LI - 16.9 (r = 0.409). By multivariate regression, the two-parameter formulas for the thoracic and lumbar curves were TC = 2.6 TI - 1.4 LI (r = 0.931) and LC = - 1.5 TI + 2.0 LI (r = 0.874), respectively. The two-parameter formulas were more accurate than the one-parameter formulas.
Based on the results of these two-parameter formulas for thoracic and lumbar curves, the Cobb angles can be predicted more accurately by the readings of the scoliometer. Physicians and other healthcare practitioners can thus evaluate patients with scoliosis more precisely than before with a scoliometer.
青少年特发性脊柱侧凸，在影像学图像中可见明显的弯曲，也与背部的肿块结合出现。这些肿块导致倾斜，可以通过脊柱侧凸计来测量。据作者所知，目前尚无同时结合胸椎和腰椎脊柱侧凸计值来分别预测胸椎和腰椎 Cobb 角的公式。本研究旨在创建更准确的预测胸椎和腰椎 Cobb 角的双参数数学公式。
2012 年 12 月至 2013 年 1 月期间，在门诊诊所诊断为特发性脊柱侧凸的患者被纳入研究。使用脊柱侧凸计记录胸椎和腰椎区域的最大躯干旋转。右侧不对称性隆起被认为是阳性（+），左侧不对称性隆起被认为是阴性（-）。使用图片存档和通信系统测量 Cobb 角。统计分析包括 Pearson 相关系数、多元回归和 Bland-Atman 分析。
本研究共纳入 101 例患者。平均胸椎曲线（TC）为 23.3 ± 1.8°，平均腰椎曲线（LC）为-23.3 ± 1.4°。胸椎倾斜度（TI）和腰椎倾斜度（LI）分别为 4.5 ± 0.7 和-5.9 ± 0.6。胸椎曲线的单参数公式为 TC=2.0 TI+14.3（r=0.813）；腰椎曲线的公式为 LC=0.9 LI-16.9（r=0.409）。通过多元回归，胸椎和腰椎曲线的双参数公式分别为 TC=2.6 TI-1.4 LI（r=0.931）和 LC=-1.5 TI+2.0 LI（r=0.874）。双参数公式比单参数公式更准确。
基于这两个预测胸椎和腰椎 Cobb 角的双参数公式，脊柱侧凸计的读数可以更准确地预测 Cobb 角。因此，医生和其他医疗保健从业者可以使用脊柱侧凸计更精确地评估脊柱侧凸患者。
