To establish the relation between the magnitude of the deformity in scoliosis, measured by cobb angle on radiograph & Volumetric asymmetry with the ISIS2 surface topography, and the patient perception of self image and mental health, measured with SRS-22 scores. A total of 89 untreated patients with scoliosis were included in the study. They had clinical assessment, cobb angle measurement of radiograph and surface topography performed on the same day along with SRS-22 questionnaires. The cobb angle was measured by single surgeon using a digital PACS system, who was unaware of the volumetric asymmetry score. Volumetric asymmetry was measured by ISIS2 surface topography performed by a research nurse who was unaware of the cobb angle. Volumetric asymmetry was calculated using standard ISIS2 software. A comparison correlation of SRS scores for function, pain, self image and mental health against cobb angle and volumetric asymmetry was undertaken by clinical scientist. Scores for patient satisfaction to treatment was excluded as these were untreated patients. Statistical analysis was performed using cor. test on software RPurpose of the study
Methodology
Monitoring of scoliosis is traditionally done with radiographs which can be associated with an increased risk of cancer secondary to multiple exposures over many years. This study investigates whether lateral asymmetry (LA) from ISIS2 surface topography can predict radiographic cobb angle, to provide an alternative non- invasive means of monitoring scoliosis patients. A total of 72 untreated patients with scoliosis (77 curves) with a Cobb angle of 55 degrees or less were included in the study. They had clinical assessment, cobb angle measurement taken from a standard radiograph and surface topography done on the same day. The cobb angle were measured by single surgeon using digital PACS system. The surgeon was unaware of the LA score. Lateral asymmetry was measured using ISIS2 surface topography done by a research nurse who was also unaware of the cobb angle as previously described. Lateral asymmetry was calculated using the standard ISIS2 software. A comparison of cobb angle and LA was performed. Linear regression analysis was performed to define an equation predicting Cobb from LA. The predicted Cobb angles were then compared with the measured radiographic Cobb angles using Bland-Altman analysis. All statistical analysis was carried out using R.Purpose of the study
Methods
