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Published in: European Journal of Orthopaedic Surgery & Traumatology 6/2018

01-08-2018 | Original Article • SPINE- SCOLIOSIS

Considerations in sagittal evaluation of the scoliotic spine

Authors: Saba Pasha, Malcolm Ecker, Vincent Deeney

Published in: European Journal of Orthopaedic Surgery & Traumatology | Issue 6/2018

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Abstract

Purpose

To predict the sagittal spinal parameters as measured in a 3D model of the spine using the 2D radiographic measurements.

Methods

Bi-planar low-dose stereoradiography images of 73 right thoracic AIS patients were processed to generate 3D models of the spine and pelvis. T1–T12 kyphosis, L1–S1 lordosis, and pelvic rotation were calculated using these 3D models. With the same X-rays, T1–T12 kyphosis, L1–S1 lordosis, thoracic and lumbar frontal curves, and pelvic rotation (calculated from the frontal and sagittal distances between the femoral heads) were manually measured on the X-rays by two independent observers. 3D sagittal parameters were predicted from only 2D sagittal parameters (simple regression) and from 2D sagittal parameters, 2D frontal parameters, and pelvic rotation (multiple regression). The simple and multiple regression models were compared for efficiency and accuracy of prediction.

Results

Comparing single and multiple regression models, multiple regression improved the prediction of the 3D sagittal parameters for kyphosis (R2 = 0.78–0.86) and lordosis (R2 = 0.88–0.92) measurements when compared to simple regression. The impact of pelvic rotation was significant when 2D kyphosis was higher than 40° and thoracic curve was less than 60° or 2D kyphosis was less than 40° and thoracic curve was higher than 60°, p < 0.05. Lordosis of 60° and higher were more prone to measurement error when pelvic rotation was present, p < 0.05.

Conclusions

Both pelvic rotation and frontal deformity affect the accuracy of the 2D sagittal measurements of the scoliotic spine. We suggest the importance of the 3D considerations in sagittal evaluation of AIS.
Literature
1.
go back to reference Stokes IA (1994) Three-dimensional terminology of spinal deformity. A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity. Spine (Phila Pa 1976) 19(2):236–248CrossRef Stokes IA (1994) Three-dimensional terminology of spinal deformity. A report presented to the Scoliosis Research Society by the Scoliosis Research Society Working Group on 3-D terminology of spinal deformity. Spine (Phila Pa 1976) 19(2):236–248CrossRef
2.
go back to reference Perdriolle R, Le Borgne P, Dansereau J, de Guise J, Labelle H (2001) Idiopathic scoliosis in three dimensions: a succession of two-dimensional deformities? Spine (Phila Pa 1976) 26(24):2719–2726CrossRef Perdriolle R, Le Borgne P, Dansereau J, de Guise J, Labelle H (2001) Idiopathic scoliosis in three dimensions: a succession of two-dimensional deformities? Spine (Phila Pa 1976) 26(24):2719–2726CrossRef
6.
go back to reference Nault ML, Mac-Thiong JM, Roy-Beaudry M, Turgeon I, Deguise J, Labelle H, Parent S (2014) Three-dimensional spinal morphology can differentiate between progressive and nonprogressive patients with adolescent idiopathic scoliosis at the initial presentation: a prospective study. Spine (Phila Pa 1976) 39(10):E601–E606. https://doi.org/10.1097/brs.0000000000000284 CrossRef Nault ML, Mac-Thiong JM, Roy-Beaudry M, Turgeon I, Deguise J, Labelle H, Parent S (2014) Three-dimensional spinal morphology can differentiate between progressive and nonprogressive patients with adolescent idiopathic scoliosis at the initial presentation: a prospective study. Spine (Phila Pa 1976) 39(10):E601–E606. https://​doi.​org/​10.​1097/​brs.​0000000000000284​ CrossRef
15.
go back to reference Fox J (2003) Effect displays in R for generalised linear models. J Stat Softw 8:1–27CrossRef Fox J (2003) Effect displays in R for generalised linear models. J Stat Softw 8:1–27CrossRef
16.
go back to reference R Core Team (2015) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria R Core Team (2015) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
23.
go back to reference Stokes IA, Bigalow LC, Moreland MS (1986) Measurement of axial rotation of vertebrae in scoliosis. Spine (Phila Pa 1976) 11(3):213–218CrossRef Stokes IA, Bigalow LC, Moreland MS (1986) Measurement of axial rotation of vertebrae in scoliosis. Spine (Phila Pa 1976) 11(3):213–218CrossRef
29.
go back to reference Dietrich TJ, Pfirrmann CW, Schwab A, Pankalla K, Buck FM (2013) Comparison of radiation dose, workflow, patient comfort and financial break-even of standard digital radiography and a novel biplanar low-dose X-ray system for upright full-length lower limb and whole spine radiography. Skeletal Radiol 42(7):959–967. https://doi.org/10.1007/s00256-013-1600-0 CrossRefPubMed Dietrich TJ, Pfirrmann CW, Schwab A, Pankalla K, Buck FM (2013) Comparison of radiation dose, workflow, patient comfort and financial break-even of standard digital radiography and a novel biplanar low-dose X-ray system for upright full-length lower limb and whole spine radiography. Skeletal Radiol 42(7):959–967. https://​doi.​org/​10.​1007/​s00256-013-1600-0 CrossRefPubMed
Metadata
Title
Considerations in sagittal evaluation of the scoliotic spine
Authors
Saba Pasha
Malcolm Ecker
Vincent Deeney
Publication date
01-08-2018
Publisher
Springer Paris
Published in
European Journal of Orthopaedic Surgery & Traumatology / Issue 6/2018
Print ISSN: 1633-8065
Electronic ISSN: 1432-1068
DOI
https://doi.org/10.1007/s00590-018-2175-1

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