从可变性到一致性:构建一个Kellgren-Lawrence淋巴结核病数据集
Salih Beyaz1, Sahika Betul Yayli2, Kutay Kılıç2
1Adana Turgut Noyan Research and Training Centre, Orthopedics and Traumatology Department, Baskent University, Adana, Turkey. sbeyaz@baskent.edu.tr.
Journal of orthopaedic surgery and research
|October 24, 2025
概括
骨科外科医生与放射科医生相比,在凯尔格伦-劳伦斯分期中表现出更好的一致性. 将阶段分为早期阶段 (KL ≤2) 和高级阶段 (KL ≥3),提高了人工智能数据集开发的可靠性.
科学领域:
- 放射学和整形外科 放射学和整形外科
- 医疗保健中的人工智能
- 医学成像分析 医学成像分析
背景情况:
- 凯尔格伦-劳伦斯 (KL) 阶段测定对于评估淋巴结核病的严重程度至关重要.
- 医疗保健专业人员之间KL分期的变化可能会影响临床决策和AI开发.
- 标准化数据集对于可靠的AI驱动解决方案在骨关节炎管理中至关重要.
研究的目的:
- 在放射科医生和骨科外科医生之间评估Kellgren-Lawrence (KL) 阶段化中的观察者间变异性.
- 为了比较KL分期0-4级别的可靠性与两类系统 (早期/高级) 的可靠性.
- 为人工智能驱动的淋巴结核病解决方案创建公正数据集提供信息.
主要方法:
- 追溯分析了15159张来自18岁以上患者的膝盖放射图.
- 独立的KL分期由两个放射科医生和两个骨科外科医生进行.
- 由两位经验丰富的骨科专家进行的共识评估.
- 评估使用0-4级别和两类 (KL ≤ 2 vs. KL ≥ 3) 分类.
主要成果:
- 整形外科医生在0-4KL尺度上与专家表现出相当或中等的一致性 (κ=0.18-0.307),而放射科医生在0-4KL尺度上表现出轻微或相当的一致性 (κ=0.085-0.172).
- 两类分类 (早期/高级) 与放射科医生 (κ=0.183-0.230) 相比,显著提高了骨科外科医生 (κ=0.637-0.692) 的评分器间可靠性.
- 最高的专业内部协议是在0-4级别的两个放射科医生 (κ=0.55) 和两个骨科外科医生 (κ=0.642) 之间.
结论:
- 骨科外科医生在KL分期中表现出更高的观察者间协议,特别是对于高级阶段 (KL ≥ 3),与放射科医生相比.
- 将KL阶段分为早期 (KL ≤2) 和高级 (KL ≥3) 组可以提高可靠性.
- 这种简化分类有助于开发标准化,公正的数据集,用于人工智能在淋巴结核病管理.
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