新的甲状腺成像报告和数据系统 (TIRADS) 基于囊甲状腺瘤的超声波特征:一个多中心研究
Bo-Ji Liu1, Yun-Yun Liu1, Jing Wan1
1Department of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound, Research and Education Institute, Clinical Research Center for Interventional Medicine, School of Medicine, Tongji University, Shanghai, China.; Shanghai Engineering Research Center of Ultrasound Diagnosis and Treatment, Shanghai, China.
Ultrasound in medicine & biology
|June 1, 2025
概括
一个新的风险分层系统 (RSS) 卵泡甲状腺瘤 (FTN),FTN-TIRADS,改善了手术前诊断. 这种系统比现有方法更准确,并显著减少甲状腺结节不必要的细针吸收 (FNA).
科学领域:
- 内分泌学 在内分泌学.
- 放射学 放射学是一门学科.
- 在瘤学瘤学.
背景情况:
- 卵泡甲状腺新生瘤 (FTN) 的术前诊断具有挑战性.
- 目前的超声波风险分层系统 (RSS) 对FTN不是最佳的,导致潜在的错误诊断和不必要的活检.
研究的目的:
- 开发和验证一个新的RSS,FTN-TIRADS,以改善FTN的手术前评估.
- 为了减少错过的诊断和不必要的细针吸收 (FNA) 卵泡甲状腺结节.
主要方法:
- 这是一项对来自四家医院的535名FTN的回顾性研究.
- 基于超声波特征的FTN-TIRADS开发,使用单变量和后勤回归分析.
- 与EU-RSS,ATA-RSS,ACR-TIRADS和C-TIRADS相比,FTN-TIRADS诊断性能的比较,使用接收机运行特征曲线分析和AUC.
- 计算和比较不必要的FNA费率.
主要成果:
- 与现有的RSS相比,FTN-TIRADS显示出更高的AUC (0.855) (EU-RSS: 0.759,ATA-RSS: 0.759,ACR-TIRADS: 0.753,C-TIRADS: 0.677).与现有的RSS相比,FTN-TIRADS显示出更高的AUC (0.855)).与现有的RSS相比,FTN-TIRADS显示出更高的AUC (0.855);与现有的RSS相比,FTN-TIRADS显示出更高的AUC (0.855);与现有的RSS相比,FTN-TIRADS显示出更高的AUC (0.855);与现有的RSS相比,FTN-TIRADS显示出更高的AUC.
- 在验证和测试组中,FTN-TIRADS显示了可比的诊断性能 (AUC 0.879与0.855).
- 与其他系统 (从60.1%到69.0%) 相比,FTN-TIRADS显著降低了不必要的FNA率至41.4%.
结论:
- 与当前的RSS相比,FTN-TIRADS为FTN提供了优越的差异诊断.
- 这个新系统有效地降低了不必要的FNA率,可能减少不必要的手术.
- FTN-TIRADS 作为一种可靠的术前,非侵入性工具,用于评估甲状腺毛囊瘤.
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