Suppr超能文献

甲状腺结节的手术治疗:基于细针穿刺细胞学检查结果的患者选择

Surgical management of the thyroid nodule: patient selection based on the results of fine-needle aspiration cytology.

作者信息

Bouvet M, Feldman J I, Gill G N, Dillmann W H, Nahum A M, Russack V, Robbins K T

机构信息

Department of Surgery, University of California San Diego Medical Center 92103.

出版信息

Laryngoscope. 1992 Dec;102(12 Pt 1):1353-6. doi: 10.1288/00005537-199212000-00008.

Abstract

To determine whether the routine use of fine-needle aspiration (FNA) cytology reduces the rate of unnecessary surgery, the surgical pathology of 54 thyroidectomy patients who had preoperative FNA was compared to the results obtained with 24 thyroidectomy patients who did not have preoperative FNA. Twenty-nine (85.3%) of the 34 patients who had a positive FNA were confirmed by histology to have a thyroid neoplasm; in 24 patients, the neoplasm was malignant. Two of the 17 patients who had a negative FNA but underwent thyroidectomy based on other factors were found to have thyroid cancer. Only 8 (33.3%) of the 24 surgical specimens of patients who did not have an FNA were found to be malignant. FNA had a sensitivity of 93.5% and a specificity of 75.0%. The results indicate that the routine use of FNA for patients with thyroid nodules reduces the incidence of unnecessary surgery. Furthermore, FNA alone is sufficient to identify most patients at risk and is, therefore, cost-effective. However, the presence of other findings suspicious of malignancy should preclude clinical decision making based on FNA alone.

摘要

为了确定细针穿刺(FNA)细胞学检查的常规应用是否能降低不必要手术的发生率,将54例术前行FNA的甲状腺切除患者的手术病理结果与24例未行术前FNA的甲状腺切除患者的结果进行了比较。FNA结果为阳性的34例患者中,29例(85.3%)经组织学证实患有甲状腺肿瘤;24例为恶性肿瘤。17例FNA结果为阴性但基于其他因素接受甲状腺切除术的患者中,有2例被发现患有甲状腺癌。未行FNA的24例患者的手术标本中,仅8例(33.3%)为恶性。FNA的敏感性为93.5%,特异性为75.0%。结果表明,对甲状腺结节患者常规应用FNA可降低不必要手术的发生率。此外,单独FNA足以识别大多数有风险的患者,因此具有成本效益。然而,存在其他可疑恶性的发现时,不应仅基于FNA进行临床决策。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验