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AgNORs 和 ki-67 增殖标志物在甲状腺病变鉴别诊断中的意义。

Significance of AgNORs and ki-67 proliferative markers in differential diagnosis of thyroid lesions.

机构信息

Department of Pathology, Faculty of Medicine, Menoufiya University, Shebin El Kom, Egypt.

出版信息

Pathol Oncol Res. 2013 Apr;19(2):167-75. doi: 10.1007/s12253-012-9565-1. Epub 2012 Oct 11.

Abstract

We aimed to assess the utility of quantitative analysis of AgNORs and Ki67 labeling index (LI) in the differential diagnosis of different thyroid lesions. This study included: 25 papillary carcinomas, 7 follicular carcinomas, 21 follicular adenomas and 27 nodular goiters. Using a semiautomatic image analysis system, Ag NORs parameters were measured and calculated including: total area of AgNORs, mean Ag NOR number in nuclei, nuclear area, mean area of AgNOR dots per each nucleus, number of central and marginal AgNOR dots, and the relative ratio of total area of AgNOR dots/total area of nucleus. Ki67 immunostaining was performed and the LI was determined. There was a significant difference between groups of thyroid lesions regarding total area of AgNORs, Ag NOR number and number of marginal Ag NOR dots. According to receiver operating characteristic curve, Ag NORs number =2.91 and marginal Ag NORs = 2.67 were useful cut off values above which follicular carcinoma can be diagnosed with 100 % sensitivity, 79 % specificity, 76 % PPV, 100 % NPV and 85 % diagnostic accuracy for both parameters. Mean Ki67 LI in our study was 14.12 ± 2.29, 61.42 ± 3.77, 34.90 ± 3.49 and 18.60 ± 1.96 for papillary carcinoma, follicular carcinoma, follicular adenoma and nodular goiter respectively. Ki67 LI showed statistically significant difference between follicular carcinoma and follicular adenoma (p = 0.026) and between papillary carcinoma and follicular adenoma (p = 0.007). Quantification of Ag NORs and Ki67 LI could be used as helpful ancillary methods in the differentiation between different thyroid lesions.

摘要

我们旨在评估 AgNORs 定量分析和 Ki67 标记指数 (LI) 在鉴别不同甲状腺病变中的作用。本研究包括 25 例甲状腺乳头状癌、7 例滤泡状癌、21 例滤泡性腺瘤和 27 例结节性甲状腺肿。使用半自动图像分析系统,测量并计算了 AgNORs 参数,包括:AgNORs 总面积、核内平均 AgNOR 数、核面积、每个核内 AgNOR 点的平均面积、中央和边缘 AgNOR 点的数量以及 AgNOR 点总面积与核总面积的相对比值。进行了 Ki67 免疫染色,确定了 LI。不同甲状腺病变组之间在 AgNORs 总面积、AgNOR 数和边缘 AgNOR 点数方面存在显著差异。根据接收者操作特征曲线,AgNOR 数=2.91 和边缘 AgNORs=2.67 是有用的截断值,当滤泡状癌的 AgNOR 数和边缘 AgNORs 分别超过这两个值时,滤泡状癌的诊断敏感度为 100%,特异性为 79%,阳性预测值为 76%,阴性预测值为 100%,两个参数的诊断准确性均为 85%。我们研究中的平均 Ki67 LI 分别为甲状腺乳头状癌、滤泡状癌、滤泡性腺瘤和结节性甲状腺肿的 14.12±2.29、61.42±3.77、34.90±3.49 和 18.60±1.96。Ki67 LI 在滤泡状癌和滤泡性腺瘤之间(p=0.026)和甲状腺乳头状癌和滤泡性腺瘤之间(p=0.007)有统计学显著差异。AgNORs 定量分析和 Ki67 LI 可作为鉴别不同甲状腺病变的辅助方法。

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