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Utility of Nuclear Morphometry in Effusion Cytology

机译:核形态学在积液细胞学中的效用

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Background: The cytological analysis of serous effusions is a common investigation and yields important diagnostic information. However, the distinction of reactive mesothelial cells from malignant cells can sometimes be difficult for the cytopathologist. Hence cost-effective ancillary methods are essential to enhance the accuracy of cytological diagnosis. The aim of this study was to examine the utility of nuclear morphometry in differentiating reactive mesothelial cells from malignant cells in effusion smears. Materials and Methods: Sixty effusion smears consisting of 30 effusions cytologically classified as malignant (adenocarcinomas) and 30 benign effusions showing reactive mesothelial cells were included in the study. ImageJ was used to measure the nuclear area, perimeter, maximal feret diameter, minimal feret diameter and the circularity. A total of ten representative cells were studied in each case. Results: Significant differences were found between benign and malignant effusions for the nuclear area, perimeter, maximal feret diameter and minimal feret diameter. No significant difference was found for circularity, a shape descriptor. Receiver operating characteristic (ROC) curve analysis revealed that nuclear area, perimeter, maximal feret diameter, and minimal feret diameter are helpful in discriminating benign and malignant effusions. Conclusions: Computerised nuclear morphometry is a helpful ancillary technique to distinguish benign and malignant effusions. ImageJ is an excellent cost effective tool with potential diagnostic utility in effusion cytology.
机译:背景:浆液性的细胞学分析是常见的调查,并产生重要的诊断信息。然而,对恶性细胞的反应性间皮细胞的区别有时对细胞病理学家有时难以困难。因此,经济高效的辅助方法对于提高细胞学诊断的准确性至关重要。本研究的目的是检查核形态学的效用,在从积液涂片中与恶性细胞区分化反应性间皮细胞。材料和方法:60例积分涂片组成,包括30分类为恶性(腺癌)和30次良性效果,显示出在该研究中含有反应性间皮细胞的30​​个良性效果。 ImageJ用于测量核面积,周长,最大火轮直径,最小的机构直径和圆形度。在每种情况下,研究了10个代表性细胞。结果:核面积,周长,最大火轮直径和最小机构直径的良性和恶性效果之间存在显着差异。发现圆形度没有显着差异,形状描述符。接收器操作特征(ROC)曲线分析显示,核面积,周长,最大的火轮直径和最小的火轮直径有助于辨别良性和恶性的积液。结论:计算机化核形态学是一种有用的辅助技术,以区分良性和恶性的积液。 ImageJ是一种优异的成本效益工具,具有积分细胞学的潜在诊断效用。

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