Application of two-parameter scoliometer values for predicting scoliotic Cobb angle

Abstract

BackgroundAdolescent 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.MethodsBetween 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.ResultsOne-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.ConclusionsBased 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.

Efektivitas Skoliometer Sebagai Alat Deteksi Dini Skoliosis

“…Dimana pemeriksaan radiologi membutuhkan biaya yang besar dan juga beresiko jika remaja terlalu banyak terpapar radiasi. 6…”

“…10 Jika dengan menggunakan skoliometer dapat meprediksi nilai cobb angle, maka hal tersebut dapat membantu mengurangi paparan x-ray. 6 Deteksi dini skoliosis menggunakan skoliometer sangat cepat dan mudah, namun dibutuhkan terapis fisik terlatih untuk meraba tulang belakang, atau alat bisa saja mengukur di anatomi yang salah sehingga dapat menghasilkan hasil pengukuran yang tidak tepat. 9…”

“…TI + 2.0 LI (r = 0.874). Formula yang paling mendekati nilai cobb angle adalah formula yang menggunakan dua parameter 6. …”

The correlation between back posture and sagittal jaw position in adult orthodontic patients

“… 10 The two-parameter scoliometer values for thoracic and lumbar values could also predict the scoliosis Cobb angle. 11 …”

Evaluation of Useful Biomechanical Parameters On Scoliosis Using Finite Element Method

“…18 With the use of radiography and instrumentation systems, Kadoury et al investigated three-dimensional variations in the spine geometry and corrective surgery on scoliosis of teenagers with unknown causes. [19][20][21][22] Vrtovec et al studied providing a full review of existing methods for quantitative measurement about the curvature of the spine, using medical images. 23 Lalonde et al investigated the effect of gravity force on correcting the deformity of the vertebra column in the case of a person who sleeps on his back.…”