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True 3D parameters of the spinal deformity in adolescent idiopathic scoliosis

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Abstract

Background

Spinal deformities in adolescent idiopathic scoliosis (AIS) are measured on 2D radiographs. Due to the 3D nature of the curve in AIS, such 2D measurements fail to differentiate between the true curve patterns, which in turn may adversly impact the clinical care and surgical planning. The use of 3D models of the spinal radiographs largely remains limited to the 3D measurements of the 2D parameters. The use of the true 3D variables of the spinal curves in describing the differences between the AIS patients is not fully explored.

Methods

A cohort of 141 Lenke 1 AIS with two-view spinal stereoradiographs and 3D models of the spines were included. The 3D model of the spine was used to determine the spinal centerlines. The writhe and torsion of the 3D centerlines, which, respectively, quantify the coiling and twist of the curve, were calculated using differential geometry. Patients were clustered based on the writhe and torsion values to determine the patient groups with significantly different 3D curve characteristics. The relationship between the writhe and torsion was statistically determined. The distribution of the writhe and torsion groups between the lumbar modifier types was determined.

Results

Two writhe and two torsion clusters were determined. Lumbar orientation of plane of maximum curvature (PMC) was significantly different between the torsion clusters and thoracic and lumbar PMC and thoracic Cobb angles were significantly different between the writhe groups, p < 0.05. More than 50% of the patients had high writhe and low torsion except for Lumbar modifier C that mainly belonged to the low writhe group.

Discussion

Two geometrical parameters of the spinal centerline determine true 3D characteristics of the scoliotic curves. The parameters were complimentary and weakly correlated, quantifying different characteristics of the scoliotic spines.

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References

  1. Pasha S, Aubin CE, Sangole AP et al (2014) Three-dimensional spinopelvic relative alignment in adolescent idiopathic scoliosis. Spine (Phila Pa 1976) 39:564–570

    Article  Google Scholar 

  2. Dickson RA (1992) The etiology and pathogenesis of idiopathic scoliosis. Acta Orthop Belg 58(Suppl 1):21–25

    PubMed  Google Scholar 

  3. Stokes IA, Bigalow LC, Moreland MS (1987) Three-dimensional spinal curvature in idiopathic scoliosis. J Orthop Res 5:102–113

    Article  CAS  Google Scholar 

  4. Deacon P, Flood BM, Dickson RA (1984) Idiopathic scoliosis in three dimensions. A radiographic and morphometric analysis. J Bone Jt Surg Br 66:509–512

    Article  CAS  Google Scholar 

  5. Lenke LG, Betz RR, Harms J et al (2001) Adolescent idiopathic scoliosis a new classification to determine extent of spinal arthrodesis. J Bone Jt Surg Am 83:1169–1181

    Article  CAS  Google Scholar 

  6. Neugebauer H (1972) Cobb or Ferguson? An analysis of the two most commonly used methods of measurement in scoliosis. Z Orthop Ihre Grenzgeb 110:342–356

    CAS  PubMed  Google Scholar 

  7. Cobb J (1948) Outline for the study of scoliosis. Instr Course Lect 5:261–275

    Google Scholar 

  8. Illés T, Somoskeöy S (2013) Comparison of scoliosis measurements based on three-dimensional vertebra vectors and conventional two-dimensional measurements: advantages in evaluation of prognosis and surgical results. Eur Spine J 22:1255–1263

    Article  Google Scholar 

  9. Stokes IA, Bigalow LC, Moreland MS (1986) Measurement of axial rotation of vertebrae in scoliosis. Spine (Phila Pa 1976) 11:213–218

    Article  CAS  Google Scholar 

  10. Pasha S, Cahill PJ, Dormans JP et al (2016) Characterizing the differences between the 2D and 3D measurements of spine in adolescent idiopathic scoliosis. Eur Spine J 25:3137–3145

    Article  Google Scholar 

  11. Pasha S, Ecker M, Deeney V (2018) Considerations in sagittal evaluation of the scoliotic spine. Eur J Orthop Surg Traumatol 28:1039–1045

    Article  Google Scholar 

  12. Kadoury S, Shen J, Parent S (2014) Global geometric torsion estimation in adolescent idiopathic scoliosis. Med Biol Eng Comput 52:309–319

    Article  Google Scholar 

  13. Shen J, Kadoury S, Labelle H et al (2016) Geometric torsion in adolescent idiopathic scoliosis: a surgical outcomes study of lenke type 1 patients. (Spine Phila Pa 1976) 41:1903–1907

    Article  Google Scholar 

  14. Stagnara P (1975) Déviations Latérals du Rachised. EMC Appareil Locomoteur, Paris

    Google Scholar 

  15. Pasha S, Hassanzadeh P, Ecker M et al (2019) A hierarchical classification of adolescent idiopathic scoliosis: identifying the distinguishing features in 3D spinal deformities. PLoS ONE 14:e0213406

    Article  CAS  Google Scholar 

  16. Labelle H, Aubin CE, Jackson R et al (2011) Seeing the spine in 3D: how will it change what we do? J Pediatr Orthop 31:S37-45

    Article  Google Scholar 

  17. Arginteanu T, DeTurck D, Pasha S (2020) Application of călugăreanu–white–fuller theorem in classification of pediatric spinal deformity. Med Biol Eng Comput. https://doi.org/10.1007/s11517-020-02259-w

    Article  PubMed  Google Scholar 

  18. White J (1969) Self-linking and the gauss integral in higher dimensions. Am J Math 91:693–728

    Article  Google Scholar 

  19. Pasha S, Schlosser T, Zhu X et al (2019) application of low-dose stereoradiography in in vivo vertebral morphologic measurements: comparison with computed tomography. J Pediatr Orthop 39(9):487–494

    Article  Google Scholar 

  20. Fuller FB (1971) The writhing number of a space curve. Proc Natl Acad Sci USA 68:815–819

    Article  CAS  Google Scholar 

  21. Cãlugãreanu G (1961) Czechoslovak. Math J 11:588–625

    Google Scholar 

  22. Neelakantan S, Purohit P, Pasha S (2020a) A semi-analytical model of pediatric spine. J Biomech Eng. https://doi.org/10.1115/1.4048400

    Article  PubMed  Google Scholar 

  23. Neelakantan S, Purohit PK, Pasha S (2020b) A reduced order model of the spine to study pediatric scoliosis. Biomech Model Mechanobiol. https://doi.org/10.1007/s10237-020-01394-5

    Article  PubMed  Google Scholar 

  24. Pasha S, Baldwin K (2019) Surgical outcome differences between the 3D subtypes of right thoracic adolescent idiopathic scoliosis. Eur Spine J 28(12):3076–3084

    Article  Google Scholar 

  25. Pasha S (2019) 3D deformation patterns of s shaped elastic rods as a pathogenesis model for spinal deformity in adolescent idiopathic scoliosis. Sci Rep 9(1):16485

    Article  Google Scholar 

  26. Newton PO, Wu KW, Bastrom TP et al (2019) What factors are associated with kyphosis restoration in lordotic adolescent idiopathic scoliosis patients? Spine Deform 7:596–601

    Article  Google Scholar 

  27. Poncet P, Dansereau J, Labelle H (2001) Geometric torsion in idiopathic scoliosis: three-dimensional analysis and proposal for a new classification. Spine (Phila Pa 1976) 26:2235–2243

    Article  CAS  Google Scholar 

  28. Stokes IA, Sangole AP, Aubin CE (2009) Classification of scoliosis deformity three-dimensional spinal shape by cluster analysis. Spine (Phila Pa 1976) 34:584–590

    Article  Google Scholar 

  29. Pasha S, Shah S, Newton PO (2020) Machine learning predicts the 3D outcomes of the adolescent idiopathic scoliosis surgery using patient-surgeon specific parameters. Spine. https://doi.org/10.1097/BRS.0000000000003795

    Article  Google Scholar 

  30. Duong L, Mac-Thiong JM, Cheriet F et al (2009) Three-dimensional subclassification of Lenke type 1 scoliotic curves. J Spinal Disord Tech 22:135–143

    Article  Google Scholar 

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Acknowledgements

SP acknowledges funding from the Scoliosis Research Society and National Institute of Health (NIH)/National Institute of Arthritis and Musculoskeletal and Skin (NIAMS) (R21AR075971-01A1). We acknowledge Dr DeTurck and Mr Arginteanu contribution to the code development.

Funding

Funding was received from scoliosis research society and National Institute of Health (NIH)/National Institute of Arthritis and Musculoskeletal and Skin (NIAMS) (R21AR075971-01A1) in forms of research grant to SP.

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SP, SK, and JS made substantial contributions to the conception or design of the work; or the acquisition, analysis, or interpretation of data; or the creation of new software used in the work. SP, SK, and JS drafted the work or revised it critically for important intellectual content. SP, SK, and JS approved the version to be published. SP, SK, and JS agree to be accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

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Correspondence to Saba Pasha.

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All aspects of the research were approved by the ethical committee of the relevant hospital-research center.

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Authors declare no conflict of interest.

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A waiver of informed consent was received from the IRB for this retrospective study.

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Pasha, S., Shen, J. & Kadoury, S. True 3D parameters of the spinal deformity in adolescent idiopathic scoliosis. Spine Deform 9, 703–710 (2021). https://doi.org/10.1007/s43390-020-00254-7

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