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3种不同影像学分类系统对尺骨远端骨折的诊断价值

黄文文 石华峰 谢辉 段东东

黄文文, 石华峰, 谢辉, 段东东. 3种不同影像学分类系统对尺骨远端骨折的诊断价值[J]. 分子影像学杂志, 2023, 46(2): 337-341. doi: 10.12122/j.issn.1674-4500.2023.02.28
引用本文: 黄文文, 石华峰, 谢辉, 段东东. 3种不同影像学分类系统对尺骨远端骨折的诊断价值[J]. 分子影像学杂志, 2023, 46(2): 337-341. doi: 10.12122/j.issn.1674-4500.2023.02.28
HUANG Wenwen, SHI Huafeng, XIE Hui, DUAN Dongdong. Diagnostic value of distal ulna fractures by 3 different imaging classification systems[J]. Journal of Molecular Imaging, 2023, 46(2): 337-341. doi: 10.12122/j.issn.1674-4500.2023.02.28
Citation: HUANG Wenwen, SHI Huafeng, XIE Hui, DUAN Dongdong. Diagnostic value of distal ulna fractures by 3 different imaging classification systems[J]. Journal of Molecular Imaging, 2023, 46(2): 337-341. doi: 10.12122/j.issn.1674-4500.2023.02.28

3种不同影像学分类系统对尺骨远端骨折的诊断价值

doi: 10.12122/j.issn.1674-4500.2023.02.28
基金项目: 

荆门市科学技术项目 2021YFYB093

详细信息
    作者简介:

    黄文文,硕士,主治医师,E-mail: hwwdoctor@126.com

Diagnostic value of distal ulna fractures by 3 different imaging classification systems

  • 摘要:   目的  比较3种不同影像学分类系统对尺骨远端骨折临床指导的可靠性和可重复性。  方法  连续纳入2015~2020年因尺骨远端骨折就诊于我院的患者共61例,年龄63.3±17.1岁。由3位医师对每位患者的X线采用Biyani分类、国际内固定研究学会/骨科创伤协会(AO/OTA)2007和AO/OTA 2018分类系统独立分类。2周后重复评估。使用一致性评价(Kappa值)分析评估医师的观察者间和观察者内一致性。  结果  Biyani分类的观察者间一致性为0.44,观察者内一致性为0.58;AO/OTA 2007分类的观察者间一致性为0.40,观察者内一致性为0.52;AO/OTA 2018分类的观察者间一致性为0.43,观察者内一致性为0.53(P < 0.05)。除AO/OTA 2007分类的观察者间一致性等级为一般外,其他观察者内和观察者间一致性等级均为中等。  结论  3种分类之间的一致性差异较小,但临床指导价值较差。在Biyani分类上发展未来专用于尺骨远端骨折的专业分类方法,提高分类的准确性、可靠性和可重复性,有助于更好地指导临床治疗。

     

  • 图  1  Biyani分类法

    Figure  1.  Biyani classification.

    图  2  AO/OTA 2007分类法

    Figure  2.  AO/OTA 2007 classification.

    图  3  AO/OTA 2018分类法

    Figure  3.  AO/OTA 2018 classification.

    图  4  由于尺骨颈和尺骨干缺乏明确的解剖分界标志,AO/OTA 2007分类难以区分Q2和Q6

    Figure  4.  AO/OTA 2007 classification is difficult to distinguish between Q2 and Q6 due to the lack of a clear anatomical boundary between the ulnar neck and ulnar shaft.

    图  5  难以分类的尺骨远端骨折

    Figure  5.  A distal ulna fracture that is difficult to classify.

    表  1  Biyani分类观察者间和观察者内一致性

    Table  1.   Interobserver and intraobserver consistency of Biyani clas-sification

    评估 Kappa值 一致性
    观察者间一致性
      第一次评估
        1和2 0.52a 中等
        1和3 0.54b 中等
        2和3 0.45a 中等
        平均 0.50a 中等
      第二次评估
        1和2 0.36a 一般
        1和3 0.33a 一般
        2和3 0.45b 中等
        平均 0.38a 一般
      合计
        平均 0.44a 中等
    观察者内一致性
      1 0.42a 中等
      2 0.65a 较好
      3 0.67a 较好
      平均 0.58b 中等
    aP<0.05, bP<0.01.
    下载: 导出CSV

    表  2  AO/OTA 2007分类观察者间和观察者内一致性

    Table  2.   Interobserver and intraobserver consistency of AO/OTA 2007 classification

    评估 Kappa值 一致性
    观察者间一致性
      第一次评估
        1和2 0.56a 中等
        1和3 0.31a 一般
        2和3 0.39a 一般
        平均 0.42b 中等
      第二次评估
        1和2 0.45a 中等
        1和3 0.23a 一般
        2和3 0.46a 中等
        平均 0.38a 一般
      合计
        平均 0.40a 一般
    观察者内一致性
      1 0.27a 一般
      2 0.64a 较好
      3 0.65b 较好
      平均 0.52a 中等
    aP<0.05, bP<0.01.
    下载: 导出CSV

    表  3  AO/OTA 2018分类观察者间和观察者内一致性

    Table  3.   Interobserver and intraobserver consistency of AO/OTA 2018 classification

    评估 Kappa值 一致性
    观察者间一致性
      第一次评估
        1和2 0.54a 中等
        1和3 0.36a 一般
        2和3 0.32a 一般
        平均 0.41b 中等
      第二次评估
        1和2 0.58a 中等
        1和3 0.55a 中等
        2和3 0.22a 一般
        平均 0.45a 中等
      合计
        平均 0.43b 中等
    观察者内一致性
      1 0.37a 一般
      2 0.67a 较好
      3 0.54b 中等
      平均 0.53b 中等
    aP<0.05, bP<0.01.
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-11-01
  • 网络出版日期:  2023-04-28
  • 刊出日期:  2023-03-20

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