Literature DB >> 31760495

Defining criteria for optimal lumbar curve correction following the selective thoracic fusion surgery in Lenke 1 adolescent idiopathic scoliosis: developing a decision tree.

Saba Pasha1,2, Jean-Marc Mac-Thiong3,4,5.   

Abstract

OBJECTIVE: The aim of this study was to identify the range of optimal versus suboptimal rates of spontaneous lumbar Cobb correction (SLCC%) and the factors predicting such outcomes in a cohort of Lenke 1 adolescent idiopathic scoliosis (AIS) after posterior spinal fusion surgery.
METHODS: Seventy-one consecutive Lenke1 B and C AIS patients with a fusion level to L1 and higher with two-year follow-up were included. Thoracic kyphosis (T1-T4 and T4-T12 TK), lumbar lordosis (L1-S1 LL), thoracic and lumbar Cobb angles, thoracic and lumbar apical vertebral rotations and translations (AVR and AVT), pelvic incidence, sacral slope, and sagittal and frontal balances were measured at preoperative, early postoperative, and two-year follow-up. The SLCC% was calculated between preoperative and two-year follow-up. A clustering analysis determined the subgroups of patients with significantly higher and lower (optimal versus suboptimal) rate of SLCC% in the cohort at two-year follow-up. The cutoff values of the preoperative and early postoperative radiographic parameters that significantly predicted the optimal and suboptimal SLCC% were determined using a decision tree.
RESULTS: The averages of the optimal versus suboptimal range of SLCC% in the cohort were 72% [55%, 105%] versus 39% [- 7%, 42%]. Preoperative and early postoperative spinal parameters predicted the optimal versus suboptimal SLCC% with an accuracy of 82%, 95%CI [0.73-0.94]. Preoperative AVTLumbar < 10 mm was a predictor of optimal SLCC%. In patients with a preoperative AVTLumbar > 10 mm, early postoperative T4-T12 TK < 24° (but not less than 17°) accompanied by - 5° < AVRThoracic < 5° were the main predictors of optimal SLCC% in our cohort.
CONCLUSION: Quantitative clustering of the SLCC% into optimal and suboptimal groups allowed identifying the cutoff values of preoperative (AVTLumbar) and early postoperative (T4-T12 TK and AVRThoracic) spinal parameters that can predict the optimal range of SLCC% at two-year postoperative in our cohort of Lenke 1 AIS. LEVEL OF EVIDENCE: IV.

Entities:  

Keywords:  Adolescent idiopathic scoliosis; Decision trees; Machine learning; Spine; Surgical planning; Three-dimentional

Year:  2019        PMID: 31760495     DOI: 10.1007/s00590-019-02596-z

Source DB:  PubMed          Journal:  Eur J Orthop Surg Traumatol        ISSN: 1633-8065


  29 in total

1.  A new operative classification of idiopathic scoliosis: a peking union medical college method.

Authors:  Guixing Qiu; Jianguo Zhang; Yipeng Wang; Hongguang Xu; Jia Zhang; Xisheng Weng; Jin Lin; Yu Zhao; Jianxiong Shen; Xinyu Yang; Keith D K Luk; Duosai Lu; William W Lu
Journal:  Spine (Phila Pa 1976)       Date:  2005-06-15       Impact factor: 3.468

2.  Surgical outcome differences between the 3D subtypes of right thoracic adolescent idiopathic scoliosis.

Authors:  Saba Pasha; Keith Baldwin
Journal:  Eur Spine J       Date:  2019-09-24       Impact factor: 3.134

3.  Broader curve criteria for selective thoracic fusion.

Authors:  Kao-Wha Chang; Xiangyang Leng; Wenhai Zhao; Yin-Yu Chen; Tsung-Chein Chen; Ku-I Chang
Journal:  Spine (Phila Pa 1976)       Date:  2011-09-15       Impact factor: 3.468

4.  Changes in the Position of the Junctional Vertebrae After Posterior Spinal Fusion in Adolescent Idiopathic Scoliosis: Implication in Risk Assessment of Proximal Junctional Kyphosis Development.

Authors:  Jelle F Homans; Moyo C Kruyt; Tom P C Schlösser; Dino Colo; Kenneth Rogers; Suken A Shah; John M Flynn; René M Castelein; Saba Pasha
Journal:  J Pediatr Orthop       Date:  2020-02       Impact factor: 2.324

5.  Considerations in sagittal evaluation of the scoliotic spine.

Authors:  Saba Pasha; Malcolm Ecker; Vincent Deeney
Journal:  Eur J Orthop Surg Traumatol       Date:  2018-03-14

6.  Characterizing the differences between the 2D and 3D measurements of spine in adolescent idiopathic scoliosis.

Authors:  Saba Pasha; Patrick J Cahill; John P Dormans; John M Flynn
Journal:  Eur Spine J       Date:  2016-05-04       Impact factor: 3.134

7.  Agreement Between Manual and Computerized Designation of Neutral Vertebra in Idiopathic Scoliosis.

Authors:  Christopher J DeFrancesco; Saba Pasha; Daniel J Miller; Randal R Betz; David H Clements; Nicholas D Fletcher; Michael G Glotzbecker; Steven W Hwang; Michael P Kelly; Ronald A Lehman; Baron S Lonner; Peter O Newton; Benjamin D Roye; Paul D Sponseller; Vidyadhar V Upasani; Patrick J Cahill
Journal:  Spine Deform       Date:  2018 Nov - Dec

8.  Timing of Changes in Three-Dimensional Spinal Parameters After Selective Thoracic Fusion in Lenke 1 Adolescent Idiopathic Scoliosis: Two-Year Follow-up.

Authors:  Saba Pasha; John M Flynn; Paul D Sponseller; Giuseppe Orlando; Peter O Newton; Patrick J Cahill
Journal:  Spine Deform       Date:  2017-11

9.  Selective thoracic fusion in Lenke 1C curves: prevalence and criteria.

Authors:  Charles H Crawford; Lawrence G Lenke; Daniel J Sucato; B Stephens Richards; John B Emans; Michael G Vitale; Mark A Erickson; James O Sanders
Journal:  Spine (Phila Pa 1976)       Date:  2013-07-15       Impact factor: 3.468

10.  Pre- and post-operative sagittal balance in idiopathic scoliosis: a comparison over the ages of two cohorts of 132 adolescents and 52 adults.

Authors:  Pierre Roussouly; Hubert Labelle; Jihane Rouissi; Arnaud Bodin
Journal:  Eur Spine J       Date:  2012-11-28       Impact factor: 3.134

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  5 in total

1.  Discovering the association between the pre- and post-operative 3D spinal curve patterns in adolescent idiopathic scoliosis.

Authors:  Saba Pasha; Suken Shah; Burt Yaszay; Peter Newton
Journal:  Spine Deform       Date:  2021-01-13

2.  Three-dimensional classification of the Lenke 1 adolescent idiopathic scoliosis using coronal and lateral spinal radiographs.

Authors:  Saba Pasha; Victor Ho-Fung; Malcolm Eker; Sarah Nossov; Michael Francavilla
Journal:  BMC Musculoskelet Disord       Date:  2020-12-08       Impact factor: 2.362

Review 3.  A narrative review of machine learning as promising revolution in clinical practice of scoliosis.

Authors:  Kai Chen; Xiao Zhai; Kaiqiang Sun; Haojue Wang; Changwei Yang; Ming Li
Journal:  Ann Transl Med       Date:  2021-01

4.  Subjective perception of spinal deformity after selective versus non-selective fusion of Lenke 1C curves.

Authors:  Davide Bizzoca; Andrea Piazzolla; Giuseppe Solarino; Lorenzo Moretti; Biagio Moretti
Journal:  Spine Deform       Date:  2022-02-08

5.  The Importance of Lumbar Curve Flexibility and Apical Vertebral Rotation for the Prediction of Spontaneous Lumbar Curve Correction in Selective Thoracic Fusion for Lenke Type 1 and 2 C Curves: Retrospective Cohort Study with a Mean Follow-Up of More than 10 years.

Authors:  Ozcan Kaya; Deniz Kara; Halil Gok; Sinan Kahraman; Tunay Sanlı; Selhan Karadereler; Meric Enercan; Azmi Hamzaoglu
Journal:  Global Spine J       Date:  2022-04-29
  5 in total

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