Scoliosis Follow-Up Using Noninvasive Trunk Surface Acquisition

Abstract

Abstract-Adolescent Idiopathic Scoliosis (AIS) is a musculoskeletal pathology. It is a complex spinal curvature in threedimensional space that also affects the appearance of the trunk. The clinical follow-up of AIS is decisive for its management. Currently, the Cobb angle, which is measured from full spine radiography, is the most common indicator of scoliosis progression. However, cumulative exposure to X-rays radiation increases the risk for certain cancers. Thus, a non-invasive method for the identification of scoliosis progression from trunk shape analysis would be helpful. In this study, a statistical model is built from a set of healthy subjects using Independent Component Analysis (ICA) and Genetic Algorithm (GA). Based on this model, a representation of each scoliotic trunk from a set of AIS patients is computed and the difference between two successive acquisitions is used to determine if the scoliosis has progressed or not. This study was conducted on 58 subjects comprising 28 healthy subjects and 30 AIS patients who had trunk surface acquisitions in upright standing posture. The model detects 93% of the progressive cases and 80% of the non-progressive cases. Thus, the rate of false negatives, representing the proportion of undetected progressions, is very low, only 7%. This study shows that it is possible to perform a scoliotic patient's follow-up using 3D trunk image analysis, which is based on a non-invasive acquisition technique.

Quantification of topographic changes in the surface of back of young patients monitored for idiopathic scoliosis: correlation with radiographic variables

“…Goldberg et al 17 used the Quantec Spinal Imaging System in 59 patients to detect a 10-deg Cobb angle scoliosis progression over 1 year and obtained a specificity of 45% and a sensitivity of 100%. Adankon et al 18 investigated the difference between topographic measurements and Cobb angle over time in 30 patients with three clinical visits and curve progression of at least 5 deg was detected with a high sensitivity of 92% and specificity of 79%. De Korvin et al 19 used the BIOMOD ™ -L system with 100 patients and the threshold for a significant change was set to 2 deg for gibbosities and 10 deg for sinuosities.…”

Characterising the Mould Rectification Process for Designing Scoliosis Braces: Towards Automated Digital Design of 3D-Printed Braces

“…Patient Geometry, Pre-Rectification, and Post-Rectification Mould Scans White spherical markers were placed over anatomical landmarks deemed important by the orthotists involved in the study for the design of a scoliosis brace and based on previous surface topography studies that have used markers to evaluate AIS [29][30][31][32]. The location of the markers used in this study are shown in Figure 1.…”

Multimodal image fusion of anatomical structures for diagnosis, therapy planning and assistance

“…Moreover, a study conducted on 30 scoliotic patients showed that an Independent Component Analysis (ICA) parameterization of the trunk is able to capture local deformities such as asymmetries of the scapulae and shoulders [17].…”