H-R Weiss1, N Elobeidi. 1. Asklepios Katharina Schroth Spinal Deformities Rehabilitation Centre, Korczakstr. 2, 55566 Bad Sobernheim, Germany. hr.weiss@asklepios.com
Abstract
UNLABELLED: Surface topography evaluations are prone to technical errors due to postural sway of the patients measured. The technical error of lateral deviation (rms) and surface rotation (rms) may vary between 15 and 20%, while the kyphosis angle (IP-ITL) has a technical error of only 5% (2,5 degrees), which is comparable to the x-ray measurement. Purpose of this study was to investigate the hypothesis that video rasterstereography can be used for prognostication of a kyphosis patient. MATERIALS AND METHODS: 53 Patients (23 females, 30 males, average age 17 years with a range from 11 to 56 years) undergoing in-patient rehabilitation have been measured with the help of video rasterstereography (VRS) before starting the treatment program and the values for kyphosis angle have been correlated to the kyphosis angle measured on a lateral x-ray (XR) not older than 6 weeks before VRS measurement. 26 had a thoracic Scheuermann, 3 a thoracolumbar, 15 an Idiopathic Kyphosis and 9 a kyphosis of other origin. RESULTS: Average Kyphosis angle XR was 49 degrees (SD 17) and VRS 63 degrees (SD 13). There was a high significant Pearson correlation of 0.78 and a high significant difference of 14 degrees in the t-test (t -9,6, p<0,001). CONCLUSIONS: The kyphosis angle VRS (Vertebra prominens - lower neutral zone of inclination) seems to allow a follow-up of individual kyphosis patients. The XR kyphosis angle according to Stagnara is measured from T4 to the lower end vertebra and therefore is lower than the VRS kyphosis angle measured from T1. The difference found between XR and VRS kyphosis angles may be explained by the angle between T1 (VRS) and T4 (XR) differently used as the upper end vertebra. Therefore the prognostication of an individual patient seems possible within certain limits.
UNLABELLED: Surface topography evaluations are prone to technical errors due to postural sway of the patients measured. The technical error of lateral deviation (rms) and surface rotation (rms) may vary between 15 and 20%, while the kyphosis angle (IP-ITL) has a technical error of only 5% (2,5 degrees), which is comparable to the x-ray measurement. Purpose of this study was to investigate the hypothesis that video rasterstereography can be used for prognostication of a kyphosispatient. MATERIALS AND METHODS: 53 Patients (23 females, 30 males, average age 17 years with a range from 11 to 56 years) undergoing in-patient rehabilitation have been measured with the help of video rasterstereography (VRS) before starting the treatment program and the values for kyphosis angle have been correlated to the kyphosis angle measured on a lateral x-ray (XR) not older than 6 weeks before VRS measurement. 26 had a thoracic Scheuermann, 3 a thoracolumbar, 15 an Idiopathic Kyphosis and 9 a kyphosis of other origin. RESULTS: Average Kyphosis angle XR was 49 degrees (SD 17) and VRS 63 degrees (SD 13). There was a high significant Pearson correlation of 0.78 and a high significant difference of 14 degrees in the t-test (t -9,6, p<0,001). CONCLUSIONS: The kyphosis angle VRS (Vertebra prominens - lower neutral zone of inclination) seems to allow a follow-up of individual kyphosispatients. The XR kyphosis angle according to Stagnara is measured from T4 to the lower end vertebra and therefore is lower than the VRS kyphosis angle measured from T1. The difference found between XR and VRS kyphosis angles may be explained by the angle between T1 (VRS) and T4 (XR) differently used as the upper end vertebra. Therefore the prognostication of an individual patient seems possible within certain limits.
Authors: Stefano Negrini; Sabrina Donzelli; Angelo Gabriele Aulisa; Dariusz Czaprowski; Sanja Schreiber; Jean Claude de Mauroy; Helmut Diers; Theodoros B Grivas; Patrick Knott; Tomasz Kotwicki; Andrea Lebel; Cindy Marti; Toru Maruyama; Joe O'Brien; Nigel Price; Eric Parent; Manuel Rigo; Michele Romano; Luke Stikeleather; James Wynne; Fabio Zaina Journal: Scoliosis Spinal Disord Date: 2018-01-10
Authors: Stefano Negrini; Angelo G Aulisa; Lorenzo Aulisa; Alin B Circo; Jean Claude de Mauroy; Jacek Durmala; Theodoros B Grivas; Patrick Knott; Tomasz Kotwicki; Toru Maruyama; Silvia Minozzi; Joseph P O'Brien; Dimitris Papadopoulos; Manuel Rigo; Charles H Rivard; Michele Romano; James H Wynne; Monica Villagrasa; Hans-Rudolf Weiss; Fabio Zaina Journal: Scoliosis Date: 2012-01-20
Authors: Jakub Michoński; Marcin Witkowski; Bożena Glinkowska; Robert Sitnik; Wojciech Glinkowski Journal: Int J Environ Res Public Health Date: 2019-11-18 Impact factor: 3.390