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细胞学穿刺未定性甲状腺结节的恶性预测因子探讨
引用本文:吴亮,杨顺实,江学庆,袁静萍,李海,吴志勇,. 细胞学穿刺未定性甲状腺结节的恶性预测因子探讨[J]. 放射学实践, 2014, 0(4): 393-396
作者姓名:吴亮  杨顺实  江学庆  袁静萍  李海  吴志勇  
作者单位:武汉市中心医院超声影像科;
摘    要:目的:探讨细胞学未定性甲状腺结节的恶性预测因子。方法:回顾性搜集2009年-2013年88例细胞学检查未定性甲状腺结节患者的相关资料。对选定结节进行临床、实验室、MRI、超声和穿刺细胞学(Bethesda分类标准)多方面分析研究,多变量分析后建立预测模型。结果:88例中有25例甲状腺结节为恶性病变(28.41%,25/88)。对比分析良性结节组和恶性结节组,两组中患者的性别、血清FT4水平、有无甲状腺自身免疫性疾病、微钙化的MRI特征、结节中央血流丰富的us特征在两组间差异均无统计学意义(P〉0.05)。微钙化的us特征、边界模糊的MRI特征以及细胞学结果分类第Ⅳ类(Bethesda分类系统)在两组间差异有统计学意义(P〈O.05)。在多变量分析后,预测模型表明Bethesda分类Ⅳ类和微钙化的US特征以及边界模糊的MRI特征均可作为未定性甲状腺结节的恶性预测因子,符合率为88.6%。结论:研究证实Bethesda分类Ⅳ、微钙化的US特征、边界模糊的MRI特征均是未定性甲状腺结节的恶性预测因子。

关 键 词:甲状腺肿瘤  超声  磁共振成像  细胞学分类  鉴别诊断

Study on predictive factors of malignant thyroid nodules with indeterminate cytological results
Affiliation:WU Liang, YANG Shun-shi, JIANG Xue-qing,et al. Department of Ultrasonography, Wuhan Central Hospital, Tongji Medical College, H uazhong Uni- versity of Science and Technology, Wuhan 430014, P. R. China
Abstract:Objective:To study the predictive factors of malignant thyroid nodules with indeterminate cytological diag- nosis of fine needle aspiration biopsy. Methods:Clinical data of 88 patients with thyroid nodules with indeterminate cytologi- cal examination results in our hospital from 2009 to 2013 were retrospectively collected. The clinical, laboratory, MRI, US and cytological classification (Bethesda criteria) variables of these selected cases were analyzed,and a prediction model was designed after the multivariate analysis. Results:There were 25 cases with malignant thyroid nodules (28.41% ,25/88). Between benign and malignant nodule groups, there were no significant differences in gender, FT4 blood levels, with autoimmune thyroid disease,rich blood flow in central region by US; there were significant differences in micro-calcifications on US,blurry border on MRI and the Bethesda System category IV. The established multivariate analysis model showed the Bethesda System category IV together with mier~caIcifications on US and blurry border on MRI were predictive factors of malignant thyroid nodules,with 88.6 % diagnostic accuracy. Conclusion:This study confirmed Bethesda System category IV together with micro-calcifications on US and blurry border on MRI were predictive factors of malignancy in indeterminate thyroid nodules.
Keywords:Thyroid neoplasms  Ultrasound  Magnetic resonance imaging  Cytological classification
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