Academic Journal

Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases

التفاصيل البيبلوغرافية
العنوان: Intelligent measurement of adolescent idiopathic scoliosis x-ray coronal imaging parameters based on VB-Net neural network: a retrospective analysis of 2092 cases
المؤلفون: Jinlong Liu, Haoran Zhang, Pei Dong, Danyang Su, Zhen Bai, Yuanbo Ma, Qiuju Miao, Shenyu Yang, Shuaikun Wang, Xiaopeng Yang
المصدر: Journal of Orthopaedic Surgery and Research, Vol 20, Iss 1, Pp 1-13 (2025)
بيانات النشر: BMC, 2025.
سنة النشر: 2025
المجموعة: LCC:Orthopedic surgery
LCC:Diseases of the musculoskeletal system
مصطلحات موضوعية: Adolescent idiopathic scoliosis, Artificial intelligence, VB-Net, X-ray coronal plane, Intelligent measurement, Orthopedic surgery, RD701-811, Diseases of the musculoskeletal system, RC925-935
الوصف: Abstract Background Adolescent idiopathic scoliosis (AIS) is a complex three-dimensional deformity, and up to now, there has been no literature reporting the analysis of a large sample of X-ray imaging parameters based on artificial intelligence (AI) for it. This study is based on the accurate and rapid measurement of x-ray coronal imaging parameters in AIS patients by AI, to explore the differences and correlations, and to further investigate the risk factors in different groups, so as to provide a theoretical basis for the diagnosis and surgical treatment of AIS. Methods Retrospective analysis of 3192 patients aged 8–18 years who had a full-length orthopantomogram of the spine and were diagnosed with AIS at the First Affiliated Hospital of Zhengzhou University from January 2019 to March 2024. After screened 2092 cases were finally included. The uAI DR scoliosis analysis system with multi-resolution VB-Net convolution network architecture was used to measure CA, CBD, CV, RSH, T1 Tilt, PT, LLD, SS, AVT, and TS parameters. The results were organized and analyzed by using R Studio 4.2.3 software. Results The differences in CA, CBD, CV, RSH, TI tilt, PT, LLD and SS were statistically significant between male and female genders (p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1749-799X
Relation: https://doaj.org/toc/1749-799X
DOI: 10.1186/s13018-024-05383-7
URL الوصول: https://doaj.org/article/740a7ea7618448be803086e10b230a98
رقم الانضمام: edsdoj.740a7ea7618448be803086e10b230a98
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:1749799X
DOI:10.1186/s13018-024-05383-7