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分形维数在液基宫颈样本中鉴别良性和恶性子宫内膜簇中的作用。

Role of fractal dimension in distinguishing benign from malignant endometrial clusters in liquid-based cervical samples.

机构信息

Department of Cytology and Gynecologic Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.

出版信息

Cytopathology. 2020 Sep;31(5):451-456. doi: 10.1111/cyt.12826. Epub 2020 May 20.

Abstract

INTRODUCTION

Exfoliated endometrial cells are often seen as hyperchromatic crowded groups (HCGs) in cervical samples. It is challenging for the cytopathologists to discriminate between HCGs of benign and malignant endometrial cells. Fractal dimension (FD) analysis has proved to be a useful tool in discriminating between different types of cell groups in previous studies.

AIMS

This study was conducted to evaluate the utility of FD for differentiating between benign and malignant endometrial HCGs, in liquid-based cervical samples.

METHODS

Two groups of cervical samples, with subsequent histopathology, were selected: Group A: 30 cases with benign endometrial HCGs; and Group B: 39 cases with malignant endometrial HCGs. Image J, NIH and FracLac software were used for selecting and measuring the FD of the HCGs. Student t-test was used for statistical analysis.

RESULTS

The mean FD for benign endometrial HCGs (1.066943 ± 0.0699) was significantly lower than that of the malignant endometrial HCGs (1.086271 ± 0.05121; P = .001). Using receiver operator characteristic curve analysis, we determined that an FD cut-off value of 1.01 would yield sensitivity of 90.3%, specificity of 26.1%, positive predictive value of 47.3% and negative predictive value of 78.6%.

CONCLUSION

The measurement of FD of HCGs in cervical samples can serve as a useful screening adjunct to differentiate malignant from benign HCGs, owing to its high sensitivity. However, in view of its low specificity and positive predictive value, we recommend that cases labelled as malignant by the FD value be confirmed for malignancy by other methods.

摘要

简介

在宫颈样本中,常可见到增生的子宫内膜细胞呈深染拥挤的细胞团(HCG)。细胞病理学家很难区分良性和恶性子宫内膜细胞的 HCG。分形维数(FD)分析已被证明在之前的研究中是区分不同类型细胞群的有用工具。

目的

本研究旨在评估 FD 在液基宫颈样本中区分良性和恶性子宫内膜 HCG 的效用。

方法

选择了两组宫颈样本,随后进行了组织病理学检查:A 组:30 例良性子宫内膜 HCG;B 组:39 例恶性子宫内膜 HCG。使用 Image J、NIH 和 FracLac 软件选择和测量 HCG 的 FD。采用 Student t 检验进行统计学分析。

结果

良性子宫内膜 HCG 的平均 FD(1.066943 ± 0.0699)明显低于恶性子宫内膜 HCG(1.086271 ± 0.05121;P =.001)。使用受试者工作特征曲线分析,我们确定 FD 截断值为 1.01 时,敏感性为 90.3%,特异性为 26.1%,阳性预测值为 47.3%,阴性预测值为 78.6%。

结论

宫颈样本中 HCG 的 FD 测量可作为一种有用的筛查辅助手段,用于区分良性和恶性 HCG,因其具有较高的敏感性。然而,鉴于其特异性和阳性预测值较低,我们建议将 FD 值标记为恶性的病例通过其他方法进一步确认是否为恶性。

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