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超越尺寸:整合超声波特征和FNAB细胞学来预测甲状腺恶性病变 - 一个回顾性,单中心研究
Nihal Güngör Tunç1, Cengiz Durucu2, Orhan Tunc2
1Department of Otorhinolaryngology, Private Clinics, 27310 Gaziantep, Türkiye.
Journal of clinical medicine
|January 28, 2026
概括
超声波特征,如低性,微化和不规则的边缘,是甲状腺结节恶性瘤的关键预测因素. 将超声波与细针吸收活检 (FNAB) 结合起来,可以提高甲状腺癌的诊断准确度.
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:
- 甲状腺结节很常见,需要准确的诊断来区分良性和恶性病例.
- 术前评估包括临床,超声波和细胞学评估,以预测恶性瘤.
- 组织病理学仍然是甲状腺结节的最终诊断的黄金标准.
研究的目的:
- 评估甲状腺结核中术前发现 (临床,超声波,细胞学) 和术后组织病理学之间的相关性.
- 为了确定与甲状腺癌相关的特定诊断因素,特别是超声波特征.
- 为了评估细针吸收活检 (FNAB) 与成像相结合的诊断性能.
主要方法:
- 对100名接受甲状腺手术的患者进行了回顾性分析.
- 术前临床数据,甲状腺功能测试和高分辨率超声波与FNAB和组织病理学结果的比较.
- 统计分析包括千平方,t测试和相关性来确定显著的关联 (p < 0.05).
主要成果:
- 恶性病 (71%的病例) 与年龄较大,小结体大小,低可热性,微化和不规则的边缘有显著联系.
- 精细针吸收活检 (FNAB) 显示出与组织病理学有很强的相关性 (r=0.65,p=0.001).
- 在恶性瘤检测方面,FNAB的特异性高 (82.8%),但敏感度可变 (25.4%).
结论:
- 低性,微化和不规则的边缘是甲状腺癌的可靠超声波预测因素.
- 将超声波发现与FNAB结果相结合,可以提高甲状腺结节的诊断准确度.
- 使用像ACR TI-RADS和Bethesda这样的结构化分类系统可以提高评估甲状腺结节的精度.
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