美国放射学学院甲状腺成像报告系统和细胞病理分类:为了更好地评估恶性瘤风险,整合
Xiaoming Zhang1, Magda Esebua1, Lester Layfield1
1Department of Pathology & Anatomical Sciences, University of Missouri, Columbia, Missouri.
Journal of the American Society of Cytopathology
|September 27, 2025
概括
结合贝塞斯达甲状腺细胞病理报告系统 (BSRTC) 和甲状腺成像和报告系统 (TIRADS),可以改善恶性瘤风险预测. 这种综合方法提高了甲状腺结节评估的准确性,有助于临床决策.
科学领域:
- 内分泌学 在内分泌学.
- 在瘤学瘤学.
- 放射学 放射学是一门学科.
背景情况:
- 贝塞斯达甲状腺细胞病理报告系统 (BSRTC) 将甲状腺结节与相关的恶性瘤风险分类.
- 美国放射学学院的甲状腺成像和报告系统 (TIRADS) 根据恶性瘤的怀疑对超声波结果进行分类.
- 目前的系统在精确的恶性瘤风险分层方面可能存在局限性.
研究的目的:
- 评估BSRTC和TIRADS在改善恶性瘤风险估计的准确性方面的联合实用性.
- 确定是否整合这两个分类系统可以提高甲状腺结节的诊断精度.
主要方法:
- 进行了甲状腺细针吸血剂的回顾性审查,并进行了手术或长期临床随访.
- TIRADS分类与相应的BSRTC类别相关联.
- 综合类别的恶性病变 (ROM) 风险是使用随访数据计算的.
主要成果:
- 分析了237个有适当随访的病例.
- 具有TIR5标志的细胞学上良性病例显示了12%的ROM.
- 具有TIR5标志的未确定意义病例的非典型性有29%的ROM.
结论:
- 结合BSRTC和TIRADS可以提高识别甲状腺结节的恶性瘤风险增加.
- 具有TIR5指定的良性BSRTC病例 (II类) 的ROM为12%,从单独使用BSRTC的2%-7%显著增加.
- 将TIRADS与BSRTC集成,可以提高BSRTC第五类恶性瘤的预测率,达到90%.
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