使用2023年贝塞斯达系统对甲状腺细针位的评估
Niti Sureka1, Charanjeet Ahluwalia1, Sana Ahuja1
1Department of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Acta cytologica
|February 25, 2025
概括
2023年贝塞斯达甲状腺细胞病理报告系统 (TBSRTC) 增强了甲状腺结节的细针吸收细胞学 (FNAC). 该系统可以提高甲状腺病变的诊断准确性和风险分层,有助于临床决策.
科学领域:
- 内分泌学 在内分泌学.
- 病理学 病理学 病理学
- 细胞病理学 细胞病理学
背景情况:
- 甲状腺结节很普遍,恶性瘤的发生率为5%,这强调了需要精确评估以防止不必要的手术.
- 精细针吸收细胞学 (FNAC) 是诊断甲状腺病变的基石.
- 2023年贝塞斯达甲状腺细胞病理报告系统 (TBSRTC) 提供了FNAC解释和风险分层的最新指南.
研究的目的:
- 使用2023年TBSRTC标准重新分类甲状腺FNAC.
- 评估2023年TBSRTC的诊断性能与组织病理学诊断相比.
- 评估2023年TBSRTC在评估甲状腺结节中的灵敏度,特异性和准确性.
主要方法:
- 从2023年1月到2024年6月,对387例甲状腺FNAC病例进行了回顾性分析.
- 根据2023年TBSRTC,两位细胞病理学家对FNAC幻灯片进行重新分类.
- 对诊断准确度指标的统计分析,包括灵敏度和特异性,对190例病理学相关性.
主要成果:
- 该研究分析了387个FNAC,其中61.5%被归类为良性,6%被归类为恶性.
- 190个病例的组织病理相关性证实了126个良性病变和64个恶性病变.
- 2023年TBSRTC的诊断准确度很高,当特定类别被认为是恶性瘤的阳性时,敏感度最高 (88.2%),当SFM和恶性瘤类别被认为是阳性时,整体准确度最高 (85.4%).
结论:
- 精细针吸收细胞学,当使用2023 TBSRTC解释时,是评估甲状腺病变的可靠方法.
- 2023年TBSRTC提高了甲状腺结节的诊断准确度和风险分层.
- 这种更新的系统有助于更好的临床管理,并减少甲状腺结节不必要的手术干预.
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