Primary correction results in the prediction of the basic scoliotic curves and postoperative progression in patients with youth idiopathic scoliosis of the thoracic localization surgical treatment

Cover Page


Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription or Fee Access

Abstract

BACKGROUND: Predicting the results of the surgical treatment of idiopathic scoliosis is important, as the role of communication between the doctor and the patient increases in discussing possible outcomes of treatment and developing a plan for surgical intervention.

AIM: To create a multivariate model for predicting the surgical results of juvenile idiopathic scoliosis based on the identification of predictors that affect the quantity of the main scoliotic curve primary correction and postoperative progression.

MATERIALS AND METHODS: The surgical results of 922 patients with juvenile idiopathic thoracic scoliosis who underwent surgery from 1999 to 2019 were analyzed. The mean age was 14.6 ± 1.2 years (men, 16.8%; women, 83.1%). The patients were divided into four groups according to the types of surgical interventions: group I included 247 patients (26.8%) who received correction using laminar fixation and anterior stage; group II, 450 patients (48.8%) who underwent correction using hybrid fixation; group III, 80 (8.7%) patients who had correction using hybrid fixation and anterior stage; and group IV, 145 (15.7%) patients who underwent correction with total transpedicular fixation. Clinical and radiological data were analyzed in the preoperative, postoperative, and late postoperative periods. Predictors of undercorrection and postoperative progression (loss of achieved correction) were identified by constructing univariate and multivariate logistic regression models.

RESULTS: The greatest correction of the thoracic scoliotic curve (74.3%) was noted in group IV. In patients with spinal deformity of >80° and mobility of <25%, the smallest correction (44.8%) was noted in group III. Postoperative progression of >10° was observed in groups I and II. Multiplicative predictors of insufficient correction of the main scoliotic curve of <50% and postoperative progression of >10° were identified. The sensitivity and specificity to predict undercorrection were 75.2% and 82.6% and for postoperative progression were 68.6% and 66.8%, respectively (p < 0.05).

CONCLUSIONS: The identification of multiplicative predictors of insufficient correction and postoperative progression makes it possible to predict the risk of insufficient correction with an accuracy of 75% and the risk of postoperative progression with an accuracy of 68.6%. If transpedicular fixation to correct the main scoliotic curve is impossible, additional anterior intervention may be performed to prevent postoperative progression.

Full Text

Restricted Access

About the authors

Alexander S. Vasyura

Novosibirsk Research Institute of Traumatology and Orthopedics named after Ya.L. Tsivyan

Author for correspondence.
Email: awasera@mail.ru
ORCID iD: 0000-0002-2473-3140
SPIN-code: 5631-3912

MD, PhD, Cand. Sci. (Med.)

Russian Federation, Novosibirsk

Aleksei V. Buzunov

Novosibirsk Research Institute of Traumatology and Orthopedics named after Ya.L. Tsivyan

Email: alekseibuzunov@mail.ru
ORCID iD: 0000-0003-4438-8863
SPIN-code: 3105-2089

MD, PhD, Cand. Sci. (Med.)

Russian Federation, Novosibirsk

Vitaliy L. Lukinov

Novosibirsk Research Institute of Traumatology and Orthopedics named after Ya.L. Tsivyan

Email: vitaliy.lukinov@gmail.com
ORCID iD: 0000-0002-3411-508X
SPIN-code: 3950-3322
Scopus Author ID: 57190341433
ResearcherId: S-3182-2017

PhD, Cand. Sci. (Phys.-Math.)

Russian Federation, Novosibirsk

Albert L. Khanaev

Sanatorium Boarding School No. 133

Email: al17253021@gmail.com
ORCID iD: 0000-0002-4744-6718
SPIN-code: 4274-2643

MD, PhD, Cand. Sci. (Med.)

Russian Federation, Novosibirsk

Vyacheslav V. Novikov

Novosibirsk Research Institute of Traumatology and Orthopedics named after Ya.L. Tsivyan

Email: priboy_novikov@mail.ru
ORCID iD: 0000-0002-9130-1081
SPIN-code: 4367-4143
Scopus Author ID: 8210613400

MD, PhD, Dr. Sci. (Med.)

Russian Federation, Novosibirsk

References

  1. Mikhailovsky MV, Gubina EV, Sergunin AYu, et al. Patient self-assessment of long-term results of surgery for idiopathic and congenital scoliosis. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika). 2012;(4):19–25. (In Russ.) doi: 10.14531/ss2012.4.19-25
  2. Chan CY, Chong JL, Lee S, et al. Parents’/patients’ perception of the informed consent process and surgeons accountability in corrective surgery for adolescent idiopathic scoliosis: a prospective study. Spine. 2020;45(23):1661–1667. doi: 10.1097/BRS.0000000000003641
  3. Assi KC, Labelle H, Cheriet F. Statistical model based 3D shape prediction of postoperative trunks for non-invasive scoliosis surgery planning. Comp Biol Med. 2014;48:85–93. doi: 10.1016/j.compbiomed.2014.02.015
  4. Pasha S, Shah S, Newton P. Machine learning predicts the 3D outcomes of adolescent idiopathic scoliosis surgery using patient-surgeon specific parameters. Spine. 2021;46(9):79–587. doi: 10.1097/BRS.0000000000003795
  5. Tachi H, Kato K, Abe Y, et al. Surgical outcome prediction using a four-dimensional planning simulation system with finite element analysis incorporating pre-bent rods in adolescent idiopathic scoliosis: simulation for spatiotemporal anatomical correction technique. Front Bioeng Biotechnol. 2021;9. doi: 10.3389/fbioe.2021.746902
  6. Sieberg C, Manganella J, Manalo G, et al. Predicting postsurgical satisfaction in adolescents with idiopathic scoliosis: the role of presurgical functioning and expectations. J Pediatr Orthop. 2017;37(8):548–551. doi: 10.1097/BPO.0000000000000778
  7. Sullivan TB, Bastrom T, Reighard F, et al. A novel method for estimating three-dimensional apical vertebral rotation using two-dimensional coronal Cobb angle and thoracic kyphosis. Spine Deform. 2017;5:244–249. doi: 10.1016/jjspd.2017.01.012
  8. Min K, Sdzuy C, Farshad M. Posterior correction of thoracic adolescent idiopathic scoliosis with pedicle screw instrumentation: results of 48 patients with minimal 10-year follow-up. Eur Spine J. 2013;22:345–354. doi: 10.1007/s00586-012-2533-3
  9. Novikov VV. Surgical tactics and specialized care for patients with severe forms of scoliosis. Moscow: Fizmatlit; 2022. (In Russ.)
  10. Loder RT, Spiegel D, Gutknecht S, et al. The assessment of intraobserver and interobserver error in the measurement of noncongenital scoliosis in children < or = 10 years of age. Spine (Phila Pa 1976). 2004;29(22):2548–2553. doi: 10.1097/01.brs.0000144828.72721.d8
  11. Scholten PJ, Veldhuizen AG. Analysis of Cobb angle measurements in scoliosis. Clin Biomech (Bristol, Avon). 1987;2(1):7–13. doi: 10.1016/0268-0033(87)90039-8
  12. Vissarionov SV, Drozdetsky AP. Surgical approach to the treatmentof children with thoracicidiopathic scoliosis. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika). 2010;(4):025–029. (In Russ.) doi: 10.14531/ss2010.4.25-29
  13. Little JP, Adam CJ. The effect of soft tissue properties on spinal flexibility in scoliosis: biomechanical simulation of fulcrum bending. Spine. 2009;34(2):76–82. doi: 10.1097/BRS.0b013e31818ad584
  14. Kawasaki S, Shigematsu H, Tanaka M, et al. Segmental flexibility in adolescent idiopathic scoliosis assessed using the fulcrum-bending radiography method. Clinical Spine Surgery. 2020;33:376–380. doi: 10.1097/BSD.0000000000000974
  15. Lee CS, Hwang CJ, Jung HS, et al. Association between vertebral rotation pat-tern and curve morphology in adolescent idiopathic scoliosis. World Neurosurg. 2020;143:e243–e252. doi: 10.1016/j.wneu.2020.07.111
  16. Ruf M, Letko L, Matis N, et al. Effect of anterior mobilization and shortening in the correction of rigid idiopathic thoracic scoliosis. Spine. 2013;38(26):E1662–E1668. doi: 10.1097/BRS.0000000000000030
  17. Lapinsky AS, Richards BS. Preventing the crankshaft phenome non bycombining anterior fusion with posterior instrumentation. Does it work? Spine (Phila Pa 1976). 1995;20(2):1392–1398.
  18. Sánchez-Márquez JM, Sánchez Pérez-Grueso FJ, Pérez Martín-Buitrago M, et al. Severe idiopathic scoliosis. Does the approach and the instruments used modify the results? Rev Esp Cir Ortop Traumatol. 2014;58(3):144–151. doi: 10.1016/j.recot.2013.11.010
  19. Zhang HQ, Deng A, Guo CF, et al. Posterior-only surgical correction with heavy halo-femoral traction for the treatment of extremely severe and rigid adolescent idiopathic scoliosis (>130°). Arch Orthop Trauma Surg. 2022;142(7):1317–1324. doi: 10.1007/s00402-020-03720-z
  20. Chernyadjeva MA, Vasyura AS, Lukinov VL, et al. Comparative analysis of the results of surgical correction of idiopathic thoracic scoliosis in patients with active bone growth. Russian Journal of Spine Surgery (Khirurgiya Pozvonochnika). 2022;19(1):22–30. (In Russ.) doi: 10.14531/ss2022.1.22-30
  21. Hwang SW, Samdani AF, Stanton P, et al. Impact of pedicle screw fixation on loss of deformity correction in patients with adolescent idiopathic scoliosis. J Pediatr Orthop. 2013;33(4):377–382. doi: 10.1097/BPO.0b013e31828800e9
  22. Murphy RF, Mooney JF. The crankshaft phenomenon. J Am Acad Orthop Surg. 2017;25(9):e185–e193. doi: 10.5435/JAAOS-D-16-00584
  23. Palmisani M, Dema E, Cervellati S, et al. Hybrid constructs pedicle screw with apical sublaminar bands versus pedicle screws only for surgical correction of adolescent idiopathic scoliosis. Eur Spine J. 2018;27(Suppl 2):150–156. doi: 10.1007/s00586-018-5625-x

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. ROC curve of a multivariate model of insufficient correction of the primary curve (below 50%)

Download (113KB)
3. Fig. 2. ROC curve of the multivariate model for loss of correction greater than 10°

Download (127KB)
4. Fig. 3. Radiographs of a 13-year-old Patient A: (a) initially with degree IV right-sided thoracic scoliotic deformity (118° according to Cobb) with lumbar countercurvature (72°), thoracic kyphosis of 57°, and lumbar lordosis of 72°; (b) right-sided thoracic scoliotic curve with a tilt to the right of 110° and mobility of 8° (6.8%); (c) right-sided thoracic scoliotic curve with vertical traction with a full body weight of 92° and mobility of 26° (22%); (d) after surgical correction of scoliotic spinal deformity using transpedicular fixation without ventral intervention with primary thoracic curve of 47° (correction 60%), lumbar countercurvature of 17° (correction 76%), thoracic kyphosis of 38°, and lumbar lordosis of 42°; (e) X-ray control 3 years after the surgery with primary thoracic curve of 50° (loss of correction of 3°, within the measurement error), lumbar countercurvature of 19° (loss of correction of 2, within the measurement error), thoracic kyphosis of 40°, and lumbar lordosis of 41°

Download (360KB)

Copyright (c) 2023 Eco-Vector



СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
Регистрационный номер и дата принятия решения о регистрации СМИ: серия ПИ № ФС77-54261 от 24 мая 2013 г.


This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies