Open Access

Defining the effective deformation of the vertebral column


Cite

Daghighi A., Tropp H., Dahlsröm N., Klarbring A.: A F.E.M. stress investigation of scoliosis apex. The Open Biomedical Engineering Journal 12: 51–71.10.2174/1874120701812010051Search in Google Scholar

D’Amico M., Merolli A., Santambrogio G.C. (eds) (1995): Three Dimensional Analysis of Spinal Deformities. IOS Press.Search in Google Scholar

Dansereau J., Stokes I. (1988): Measurements of the three-dimensional shape of the rib cage. Journal of Biomechanics 2(11): 893–901.10.1016/0021-9290(88)90127-3Search in Google Scholar

Donzelli S., Poma S., Balzarini L., Borboni A., Stefano Respizzi S., Villafane J.H., Zaina F., Negrini S. (2015): State of the art of current 3-D scoliosis classifications: a systematic review from a clinical perspective. J. Neuroeng. Rehabil. 12: 91.Search in Google Scholar

Drerup B., Hierholzer E. (1992): Evaluation of frontal radiographs of scoliotic spines—Part I measurement of position and orientation of vertebrae and assessment of clinical shape parameters. Journal of Biomechanics. Technical note 25(11): 1357–1362.10.1016/0021-9290(92)90291-8Search in Google Scholar

Ho E., Upadhyay S.S., Chan F.L., Hsu L., Leong J. (1993), New Methods of Measuring Vertebral Rotation From Computed Tomographic Scans: An Intraob-server and Interobserver Study on Girls with Scoliosis. Spine 18: 1173–1177.10.1097/00007632-199307000-000088362322Search in Google Scholar

Kawakami N., Tsuji T., Imagama S., Lenke L.G., Puno R.M., Kuklo T.R. (2009): Classification of Congenital Scoliosis and Kyphosis: A New Approach to the Three-Dimensional Classification for Progressive Vertebral Anomalies Requiring Operative Treatment. Spine 34(17): 1756–1765.10.1097/BRS.0b013e3181ac004519644327Search in Google Scholar

Lam G.C. (2008): Vertebral rotation measurement: a summary and comparison of common radiographic and CT methods. Scoliosis 3(16): 1–10.10.1186/1748-7161-3-16258746318976498Search in Google Scholar

Lenke L.G., Betz R.R., Harms J., Bridwell K.H., Clements DH., Lowe T.G., Blanke K.(2001): Adolescent idiopathic scoliosis: a new classification to determine extent of spinal arthrodesis. Journal of Bone and Joint Surgery, American Volume. 83-A(8): 1169–1181.10.2106/00004623-200108000-00006Search in Google Scholar

Ovadia D. (2013): Classification of adolescent idiopathic scoliosis. Journal of Children’s Orthopaedics 7(1): 25—28.10.1007/s11832-012-0459-2356625024432055Search in Google Scholar

Sangole A., Aubin C.-E., Labelle H., Stokes I.A., Lenke L.G., Jackson R., Newton P. (2009): Three-dimensional classification of thoracic scoliotic curves. Spine 34(1): 91–99.10.1097/BRS.0b013e3181877bbb19127167Search in Google Scholar

Somoskeöy S., Tunyogi-Csapó M., Bogyó C., Illés T. (2012): Clinical validation of coronal and sagittal spinal curve measurements based on three-dimensional vertebra vector parameters. The Spine Journal 12(10): 960–968.10.1016/j.spinee.2012.08.17523018164Search in Google Scholar

Stokes I. (1994): Scoliosis research society working group on 3D terminology of spinal deformity: Three-dimensional terminology of spine deformity. Spine 19: 236–248.10.1097/00007632-199401001-00020Search in Google Scholar

Stokes I., Sangole A.P., Aubin C.E. (2009): Classification of scoliosis deformity three-dimensional spinal shape by cluster analysis. Spine 34(6): 584–590.10.1097/BRS.0b013e318190b914266424919282737Search in Google Scholar

Vrtovec T., Pernus F., Likar B. (2009): A review of methods for quantitative evaluation of spinal curvature. European Spine Journal 18(5): 1–15.10.1007/s00586-009-0913-0323399819247697Search in Google Scholar

eISSN:
1896-3811
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Life Sciences, Bioinformatics, other, Mathematics, Probability and Statistics, Applied Mathematics