PURPOSE: The achievement of shoulder balance is an important measure of successful scoliosis surgery. No previously described classification system has taken shoulder balance into account. We propose a simple classification system for AIS based on two components which include the curve type and shoulder level. METHODS: Altogether, three curve types have been defined according to the size and location of the curves, each curve pattern is subdivided into type A or B depending on the shoulder level. This classification was tested for interobserver reproducibility and intraobserver reliability. A retrospective analysis of the radiographs of 232 consecutive cases of AIS patients treated surgically between 2005 and 2009 was also performed. RESULTS: Three major types and six subtypes were identified. Type I accounted for 30 %, type II 28 % and type III 42 %. The retrospective analysis showed three patients developed a decompensation that required extension of the fusion. One case developed worsening of shoulder balance requiring further surgery. This classification was tested for interobserver and intraobserver reliability. The mean kappa coefficients for interobserver reproducibility ranged from 0.89 to 0.952, while the mean kappa value for intraobserver reliability was 0.964 indicating a good-to-excellent reliability. CONCLUSIONS: The treatment algorithm guides the spinal surgeon to achieve optimal curve correction and postoperative shoulder balance whilst fusing the smallest number of spinal segments. The high interobserver reproducibility and intraobserver reliability makes it an invaluable tool to describe scoliosis curves in everyday clinical practice.
PURPOSE: The achievement of shoulder balance is an important measure of successful scoliosis surgery. No previously described classification system has taken shoulder balance into account. We propose a simple classification system for AIS based on two components which include the curve type and shoulder level. METHODS: Altogether, three curve types have been defined according to the size and location of the curves, each curve pattern is subdivided into type A or B depending on the shoulder level. This classification was tested for interobserver reproducibility and intraobserver reliability. A retrospective analysis of the radiographs of 232 consecutive cases of AISpatients treated surgically between 2005 and 2009 was also performed. RESULTS: Three major types and six subtypes were identified. Type I accounted for 30 %, type II 28 % and type III 42 %. The retrospective analysis showed three patients developed a decompensation that required extension of the fusion. One case developed worsening of shoulder balance requiring further surgery. This classification was tested for interobserver and intraobserver reliability. The mean kappa coefficients for interobserver reproducibility ranged from 0.89 to 0.952, while the mean kappa value for intraobserver reliability was 0.964 indicating a good-to-excellent reliability. CONCLUSIONS: The treatment algorithm guides the spinal surgeon to achieve optimal curve correction and postoperative shoulder balance whilst fusing the smallest number of spinal segments. The high interobserver reproducibility and intraobserver reliability makes it an invaluable tool to describe scoliosis curves in everyday clinical practice.
Authors: Yongjung J Kim; Keith H Bridwell; Lawrence G Lenke; Junghoon Kim; Samuel K Cho Journal: Spine (Phila Pa 1976) Date: 2005-09-15 Impact factor: 3.468
Authors: Patricia L Smith; Sandra Donaldson; Douglas Hedden; Benjamin Alman; Andrew Howard; Derek Stephens; James G Wright Journal: Spine (Phila Pa 1976) Date: 2006-09-15 Impact factor: 3.468
Authors: Yongjung J Kim; Lawrence G Lenke; Samuel K Cho; Keith H Bridwell; Brenda Sides; Kathy Blanke Journal: Spine (Phila Pa 1976) Date: 2004-09-15 Impact factor: 3.468
Authors: Jan Henrik Terheyden; Mark Wetterkamp; Georg Gosheger; Viola Bullmann; Ulf Liljenqvist; Tobias Lange; Albert Schulze Bövingloh; Tobias L Schulte Journal: Eur Spine J Date: 2017-07-08 Impact factor: 3.134
Authors: Joshua T Bram; Nishank Mehta; John M Flynn; Jason B Anari; Keith D Baldwin; Burt Yaszay; Joshua M Pahys; Patrick J Cahill Journal: Spine Deform Date: 2020-11-17