[1]谢思远 李义凯.基于两级无监督学习的青少年腰椎骺环发育分期体系的建立[J].中国中医骨伤科杂志,2026,34(05):78-82.[doi:10.20085/j.cnki.issn1005-0205.260511]
　XIE Siyuan,LI Yikai.Establishment of a Staging System for Adolescent Lumbar Vertebral Epiphyseal Ring Development Based on Two-Stage Unsupervised Learning Approach[J].Chinese Journal of Traditional Medical Traumatology & Orthopedics,2026,34(05):78-82.[doi:10.20085/j.cnki.issn1005-0205.260511]
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基于两级无监督学习的青少年腰椎骺环发育分期体系的建立()

《中国中医骨伤科杂志》[ISSN:1005-0205/CN:42-1340/R]

卷:
第34卷
期数:
2026年05期
页码:
78-82
栏目:
临床研究
出版日期:
2026-05-10

文章信息/Info

Title:
Establishment of a Staging System for Adolescent Lumbar Vertebral Epiphyseal Ring Development Based on Two-Stage Unsupervised Learning Approach
文章编号:
1005-0205(2026)05-0078-05
作者:
谢思远 李义凯
1南方医科大学中医药学院(广州,510515)
2南方医科大学南方医院
Author(s):
XIE Siyuan1; LI Yikai1; 2△
1School of Chinese Medicine,Southern Medical University,Guangzhou 510515,China; 2Nanfang Hospital,Southern Medical University,Guangzhou 510515,China.
关键词:
骺环;  腰椎;  脊柱发育;  无监督学习;  青少年
Keywords:
epiphyseal ring;  lumbar spine;  spinal development;  unsupervised learning;  adolescent
分类号:
R681.5
DOI:
10.20085/j.cnki.issn1005-0205.260511
文献标志码:
A
摘要:
目的:为了克服传统的青少年腰椎骺环成熟度评估方法依赖主观经验规则的局限性,应用数据驱动的方法,建立客观的发育分期新体系,并利用该体系探索中国人群腰椎骺环的发育规律。方法:回顾性分析522例6～30岁健康个体腰椎CT影像,采用两级无监督学习框架,K-Modes聚类建立骺环层面的骨骺环成熟(ERM)分期,K-Means聚类建立个体层面的整体成熟度模式。通过与常规方法比较及与年龄的相关性验证效度,并对发育窗口期、成熟路径及头尾侧顺序进行探索。结果:成功建立包含5个骨骺环成熟分期和4种整体成熟度模式的客观体系,新体系与年龄高度相关(ρ=0.890,P<0.001),并在识别发育亚型方面优于传统方法。量化了两个关键发育窗口期(启动期Profile A个体差异最大,融合期Profile C持续时间最长); 揭示了“同步启动→后方率先→前方收尾”的成熟路径,并证实了从尾侧到头侧的发育顺序(P=0.045)。结论:基于两级无监督学习的新分期体系能客观、精确地评估青少年腰椎成熟度,揭示了复杂发育模式,为临床评估和风险识别提供了更可靠的影像学工具。
Abstract:
Objective:To overcome the limitations of traditional methods for assessing adolescent lumbar epiphyseal ring maturity,which rely on subjective empirical rules,this study aims to apply a data-driven approach to establish an objective new staging system for development and utilize this system to explore the developmental patterns of lumbar epiphyseal rings in the Chinese population.Methods:A retrospective analysis was conducted on lumbar CT images from 522 healthy individuals aged 6 to 30 years old.A two-level unsupervised learning framework was employed:K-Modes clustering was used to establish the epiphyseal ring maturation(ERM)staging at the epiphyseal ring level,and K-Means clustering was used to identify overall maturity patterns at the individual level.The validity was verified by comparing the method with conventional methods and correlating it with age,along with exploratory analyses of developmental windows,maturation paths,and cranio-caudal sequences.Results:An objective system comprising 5 ERM stages and 4 overall maturity patterns was successfully established.The new system showed a high correlation with age(ρ=0.890,P<0.001)and outperformed traditional methods in identifying developmental subtypes.Two key developmental window periods were qua- ntified(initiation period Profile A,greatest individual differences; fusion period Profile C,longest duration).The maturation path of “synchronous initiation→posterior leading→anterior closure” was revealed,and a developmental sequence from caudal to cranial was confirmed(P=0.045).Conclusion:The new staging system,based on a two-level unsupervised learning approach,can objectively and accurately assess adolescent lumbar maturity,revealing complex developmental patterns and providing more reliable imaging tools for clinical assessment and risk identification.

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(收稿日期:2025-10-20)

备注/Memo

备注/Memo:
基金项目:国家自然科学基金项目(82274669)
李义凯广东省名中医传承工作室建设项目(粤中医办函〔2023〕108号)
深圳市“医疗卫生三名工程”资助项目(SZZYSM202108013)
△通信作者 E-mail:ortho@smu.edu.cn
更新日期/Last Update: 2026-05-15