An Innovative Stepwise C‐Means Clustering Approach for Classification of Adolescent Idiopathic Scoliosis

EOS imaging technology combined with Fuzzy C-Means iterative clustering enables a preliminary 3D classification of AIS by capturing more detailed and individualized morphological features. Compared to direct clustering, the iterative method not only improves geometric interpretability but also enhances classification accuracy by better identifying subtle variations in spinal curvature. It further improves specificity, particularly in distinguishing sagittal and axial plane deformities, which are often overlooked in 2D systems. This enhanced resolution provides a stronger basis for developing personalized conservative treatment plans, such as brace design and rehabilitation strategy. Although the proposed method shows promise, further clinical validation is needed to confirm its effectiveness in guiding conservative treatment decisions.

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Publication Details

Journal
Orthopaedic Surgery
Published
2025-04-26
DOI
https://doi.org/10.1111/os.70042
Primary Topic
Scoliosis diagnosis and treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

An Innovative Stepwise C‐Means Clustering Approach for Classification of Adolescent Idiopathic Scoliosis

Jie Gong, Yating Dong, Lin Sha, Wenyuan Sui et al.
Orthopaedic Surgery
Scoliosis diagnosis and treatment
article

An Innovative Stepwise C‐Means Clustering Approach for Classification of Adolescent Idiopathic Scoliosis

Jie Gong, Yating Dong, Lin Sha, Wenyuan Sui, Zifang Zhang, Chaomeng Wu, Junlin Yang, Wenqing Wei, Fuyun Liu, Fan Qin, Jian Chen, Yaqing Zhang, Cheng Liang, Weiming Hu, Yunzhang Cheng
article en

Abstract

EOS imaging technology combined with Fuzzy C-Means iterative clustering enables a preliminary 3D classification of AIS by capturing more detailed and individualized morphological features. Compared to direct clustering, the iterative method not only improves geometric interpretability but also enhances classification accuracy by better identifying subtle variations in spinal curvature. It further improves specificity, particularly in distinguishing sagittal and axial plane deformities, which are often overlooked in 2D systems. This enhanced resolution provides a stronger basis for developing personalized conservative treatment plans, such as brace design and rehabilitation strategy. Although the proposed method shows promise, further clinical validation is needed to confirm its effectiveness in guiding conservative treatment decisions.

Orthopaedic SurgeryVol. 17(6)
University of Shanghai for Science and Technology (CN), Shanghai Jiao Tong University (CN), XinHua Hospital (CN), Third Affiliated Hospital of Zhengzhou University (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 85%
Scoliosis diagnosis and treatment
DOIOpen Access PDFOpenAlex
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