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Digital measurement and correlation analysis of coronal and sagittal anatomic parameters in the radiographs of adolescent patients with idiopathic scoliosis

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A Correction to this article was published on 08 April 2023

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Abstract

Objective

To use digital software to measure the morphologic and anatomic parameters of adolescent idiopathic scoliosis (AIS). Differences and correlations among different parameters were compared to provide an anatomic basis for the selection of treatment methods and preoperative evaluation of AIS.

Methods

Spinal radiographs were taken from 300 boys and girls (age, 10–18 years) suffering from idiopathic scoliosis in four grade-A hospitals in Inner Mongolia. After screening, 120 cases with complete imaging data were assessed. Imaging data were transferred to a work station (Dr Wise™). The anatomic indices of the Cobb Angle, CVA, AVT, TS, CA, CPT, CSI, FPT, CCA, TK, LL, SS, PT, and PI were measured.

Results

There were significant differences in AVT between different grades and types of scoliosis (F = 34.079, P = 0.000; χ2 = 23.379, P = 0.000). AVT was a protective factor, and the smaller the AVT, the less severe was the scoliosis. Compared with adolescents with mild or moderate scoliosis, the Cobb angle of adolescents with severe scoliosis was negatively correlated with CCA, LL, and SS (r =  − 0.641, p < 0.05; r =  − 0.695, p < 0.01; r =  − 0.814, p < 0.01).

Conclusions

Some of the anatomic parameters in the coronal and sagittal planes of adolescents with idiopathic scoliosis were significantly different according to the severity and type of scoliosis. Significant correlations were found between more anatomic indices in adolescents with severe scoliosis than in adolescents suffering from mild or moderate scoliosis.

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Acknowledgements

Thank Baotou Central Hospital, The First Affiliated Hospital of Baotou Medical College, The Affiliated Hospital of Inner Mongolia Medical University, and The Second Affiliated Hospital of Inner Mongolia Medical University for their assistance. Thank you all doctors for your hard work, thank you engineers of AI Lab, Deepwise & League of PhD Technology for their full support.

Funding

This study was supported financially by the Science and Technology Project in Inner Mongolia, China (2019GG115), 2021 Zhiyuan Talent Project of Inner Mongolia Medical University, Innovation Team Development Plan of Inner Mongolia Education Department (NMGIRT2227), Inner Mongolia Natural Science Foundation (2020MS08124), Inner Mongolia “Grassland Talents” Youth Innovation and Entrepreneurship Talents Project (2020), Ulaanbaatar City Basic Research Project (2021JC321) and Inner Mongolia Medical University 2021 Annual Key Project of University-level Scientific Research (YKD2021ZD001), Joint project of Inner Mongolia Medical University (YKD2022LH039).

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Authors and Affiliations

  1. Department of Anatomy, School of Basic Medicine, Inner Mongolia Medical University, Hohhot, 010000, Inner Mongolia, China

    Chao Wu, Mingjie Gao, Jiawei Li, Qinghua Liu, Zhijie Kang, Haiyan Wang, Zhijun Li, Xing Wang, Shaojie Zhang & Xiaohe Li

  2. Baotou Central Hospital, Baotou, 014040, Inner Mongolia, China

    Chao Wu & Wenjing Ou

  3. Department of Radiology, The Second Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, Inner Mongolia, China

    Yunfeng Zhang

  4. Department of Radiology, Affiliated Hospital of Inner Mongolia Medical University, Hohhot, 010010, Inner Mongolia, China

    Feng Jin

  5. Department of Orthopedics, Ulanqab Second Hospital, Ulanqab, 011800, Inner Mongolia, China

    Kai Zhang

Authors
  1. Chao Wu
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  2. Wenjing Ou
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Contributions

WC finished the manuscript writing. WO is responsible for data aggregation and statistical analysis. XL gives direction to manuscript writing and submission. MG, JL, QL and ZK are responsible for data key point labeling. HW, ZL, XW, SZ, YZ, FJ and KZ are responsible for the collection, aggregation and data analysis of cases.

Corresponding author

Correspondence to Xiaohe Li.

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Ethical approval

The study protocol was approved (YKD2019GG115) by the Ethics Committee of Inner Mongolia Medical University. Written informed consent was not required because this study was retrospective.

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The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of this article.

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Wu, C., Ou, W., Gao, M. et al. Digital measurement and correlation analysis of coronal and sagittal anatomic parameters in the radiographs of adolescent patients with idiopathic scoliosis. Eur Spine J 32, 1161–1172 (2023). https://doi.org/10.1007/s00586-023-07527-5

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