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Role of Multiparameter Analysis of AgNORs in FNA Smears of Thyroid Swellings in Differentiating Benign and Malignant Lesions

机译:AgNORs多参数分析在甲状腺肿块FNA涂片中鉴别良恶性病变的作用

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摘要

Background. The aim of this study is to assess the role of multiparameter analysis of silver (Ag)-stained nucleolar organizer regions (AgNORs) technique on aspiration smears of thyroid swellings to distinguish between benign and malignant lesions. Materials and Methods. Aspiration smears from 166 cases of thyroid swellings were examined. Diagnosis was confirmed by histology in 61 cases. AgNOR staining was done on FNA smears according to silver-staining protocol proposed by the International Committee for AgNOR quantification. Multiparameter analysis of AgNORs such as mAgNOR, pAgNOR, and AgNOR size grade was done on 50–100 cells under oil immersion lens. Results. AgNOR parameter of benign and malignant thyroid lesions was compared and was found to be statistically significant. Out of 157 satisfactory AgNOR stained cases, 148 (94.3%) were benign lesions and 9 (5.7%) cases were malignant lesions. In AgNOR analysis, sensitivity was found to be 83.33%, specificity 100%, PPV 100%, NPV 98.21%, and accuracy was 98.36%. Conclusions. AgNOR analysis in the FNA smears is a simple, sensitive, and cost-effective method for differentiating benign from malignant thyroid swellings.
机译:背景。这项研究的目的是评估银(Ag)染色的核仁组织区(AgNORs)技术的多参数分析在甲状腺肿块的抽吸涂片检查中的作用,以区分良性和恶性病变。材料和方法。检查了166例甲状腺肿大的抽吸涂片。 61例经组织学确诊。根据国际AgNOR定量委员会提出的银染规程,对FNA涂片进行AgNOR染色。 AgNORs的多参数分析,例如mAgNOR,pAgNOR和AgNOR大小等级,是在油浸透镜下对50-100个细胞进行的。结果。比较了良性和恶性甲状腺病变的AgNOR参数,发现具有统计学意义。在157例满意的AgNOR染色病例中,良性病变为148例(94.3%),恶性病变为9例(5.7%)。在AgNOR分析中,发现灵敏度为83.33%,特异性为100%,PPV为100%,NPV为98.21%,准确度为98.36%。结论。 FNA涂片中的AgNOR分析是一种区分良性和恶性甲状腺肿胀的简单,灵敏且经济高效的方法。

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