甲状腺结节的Eu-/C-/ACR-TIRADS和S-Detect之间的诊断效率:系统性审查和网络元分析
Longtao Yang1, Cong Li1, Zhe Chen2
1Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, China.
Frontiers in endocrinology
|September 18, 2023
概括
这项研究比较了甲状腺结节的超声波风险分层系统. 中国版本的TIRADS (C-TIRADS) 显示出卓越的诊断性能,在检测甲状腺癌方面表现出良好的灵敏度和特异性.
科学领域:
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
- 医疗成像医学成像
背景情况:
- 甲状腺结节的基于超声波的风险分层系统表现出不同的性能.
- 系统之间不一致的诊断准确性,敏感性和特异性造成不确定性.
研究的目的:
- 为了比较最近的超声波风险分层系统的诊断性能,用于检测甲状腺癌.
- 为了确定评估甲状腺结节的最有效的系统.
主要方法:
- 我们对PubMed,EMBASE和Web of Science数据库进行了系统的搜索.
- 88项研究 (59,304个节点) 的网络元分析评估了欧洲TIRADS (Eu-TIRADS),美国放射学学院TIRADS (ACR TIRADS),中国TIRADS (C-TIRADS) 和S-Detect.
- 组织病理学和细胞学作为诊断的黄金标准.
主要成果:
- C-TIRADS (TR4b及以上) 显示了最高的灵敏度.
- ACR TIRADS (TR5) 的特异性是最高的.
- C-TIRADS显示了最高的诊断几率比率 (DOR) 和曲线下的面积 (AUC).
结论:
- 与其他评估系统相比,C-TIRADS为甲状腺结节提供了有利的诊断性能.
- 这一发现表明C-TIRADS可能是评估甲状腺结节的更可靠工具.
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