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美国卵巢-尾报告和数据系统的读者间可靠性:系统性审查和元分析
Sang Min Bae1, Dong Hwan Kim2, Ji Hun Kang3,4
1Hanyang University Guri Hospital, Guri-si, Korea, Republic of.
Abdominal radiology (New York)
|January 22, 2025
概括
美国的卵巢-附体报告和数据系统 (O-RADS) 的分类显示了卵巢病变的高可靠性. 读者体验显著影响O-RADS US可靠性,强调需要有针对性的培训.
科学领域:
- 放射学和成像学 放射学和成像学
- 妇科瘤学 妇科瘤学
- 医疗信息学 医疗信息学
背景情况:
- 美国的卵巢-附体报告和数据系统 (O-RADS) 提供了一种标准化的方法来评估卵巢和附体病变.
- 准确的风险分层对于管理这些病变和预防恶性瘤至关重要.
- O-RADS美国分类的读者间可靠性尚未被系统评估.
研究的目的:
- 系统地确定O-RADS美国对卵巢和副病变的分类的互读器可靠性.
- 确定影响O-RADS US分类对读器间可靠性的因素.
主要方法:
- 2018年1月至2023年12月期间发表的原始文章的系统审查和元分析.
- 从MEDLINE,EMBASE和Web of Science数据库中确定了报告O-RADS US在病变分类中的读者间可靠性的研究.
- 德西米尼安-莱尔德随机效应模型被用于元分析,用子组元回归来探索异质性.
主要成果:
- 分析了涉及5139个病变的14篇文章,显示O-RADS美国分类的合并读者间可靠性为0.83 (95%CI,0.78-0.88),表明几乎完全一致.
- 观察到实质性的异质性 (I2 = 96.9%),读者经验被确定为一个重要的因素.
- 与包括实习生 (0.74) 的研究相比,对经验丰富的读者进行的研究显示出更高的可靠性 (0.86).
结论:
- 美国O-RADS系统在分类卵巢和副病变方面表现出强大的互读器可靠性.
- 读者经验是可靠性的关键决定因素,这表明需要专门培训.
- 简化O-RADS US描述符可能会进一步提高可靠性和临床采用.
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