h 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 and Methods. 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.

Objective. The purpose of this study was to assess the association between Lenke classification and HRQoL in patients who underwent spinal fusion for AIS. Materials and Methods. In all, 146 consecutive patients (mean age 15.1 yr) operated for AIS between 2007 and 2019 with a minimum 2-year follow-up were included. Fifty-three (36%) patients reached the 10-year follow-up. Their HRQoL was assessed with the SRS-24 questionnaire preoperatively, at six months, two years, and 10 years after surgery. Results. The preoperative major curve was the largest in Lenke 3 (mean 63°) and 4 (mean 62°) groups and the lowest in Lenke 5 groups (mean 48°, P<0.05). These curves were corrected to a mean of 15° with no differences between groups. We found no evidence of differences between the preoperative HRQoL scores between the Lenke groups. The self-image domain of SRS-24 was lower in patients with isolated major thoracolumbar scoliosis (Lenke 5) when compared with double-thoracic (Lenke 2) group at the t