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基于甲状腺恶性瘤临床病理特征的FNA的诊断作用
Mohammad Mehdi Fallahi1,2, Sepehr Koulaian3, Parviz Mardani1,4
1Thoracic and Vascular Surgery Research Center, Shiraz University of Medical Science, Shiraz, Iran.
BMC endocrine disorders
|April 27, 2025
概括
精细针吸收 (FNA) 准确诊断甲状腺结节,其准确性受到贝塞斯达分类和结节大小的影响. 较大的结节和特定分类提高了诊断能力,减少了误诊的风险.
科学领域:
- 内分泌学 在内分泌学.
- 手术病理学手术病理学
- 在瘤学瘤学.
背景情况:
- 甲状腺结节很常见,大多数是良性的,但准确的诊断对于识别恶性病例至关重要.
- 精细针吸收 (FNA) 细胞学是甲状腺结节的主要诊断工具,指导手术决策.
- 错误的FNA诊断可能导致不必要的手术或延迟治疗恶性甲状腺疾病.
研究的目的:
- 为了评估细针吸收 (FNA) 甲状腺结节的诊断准确性.
- 评估结节大小和贝塞斯达分类对FNA准确性的影响.
- 确定FNA在诊断甲状腺恶性瘤中的灵敏度,特异性和预测值.
主要方法:
- 对310名经过甲状腺切除术的患者进行了回顾性分析,以检测出可疑的甲状腺结节.
- 对人口统计数据,FNA结果和组织病理学报告的患者档案的审查.
- 计算灵敏度,特异性和预测值,并进行后勤回归分析.
主要成果:
- 在59.4%的病例中,组织病理学证实了恶性病变.
- 总体FNA准确度为92.2%,具有96.8%的特异性和89.6%的灵敏度.
- 贝塞斯达分类和较大的瘤大小 (特别是>3厘米) 与更高的FNA精度有显著的相关性,而小于1厘米的结节的精度较低 (73.2%).
结论:
- 精细针吸收 (FNA) 是甲状腺结节的宝贵诊断工具,尽管准确性各不相同.
- 诊断性能受到结节大小和贝塞斯达分类系统等因素的影响.
- 在较小的结节和多节结节病例中准确诊断恶性瘤仍然存在挑战.
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