文章：

宫颈细胞学中深染拥挤细胞群的定量结构分析：克服诊断陷阱

Quantitative Structural Analysis of Hyperchromatic Crowded Cell Groups in Cervical Cytology: Overcoming Diagnostic Pitfalls

原文发布日期：21 December 2024

DOI: 10.3390/cancers16244258

类型: Article

开放获取: 是

英文摘要：

Background: The diagnostic challenges presented by hyperchromatic crowded cell groups (HCGs) in cervical cytology often result in either overdiagnosis or underdiagnosis due to their densely packed, three-dimensional structures. The objective of this study is to characterize the structural differences among HSIL-HCGs, AGC-HCGs, and NILM-HCGs using quantitative texture analysis metrics, with the aim of facilitating the differentiation of benign from malignant cases. Methods: A total of 585 HCGs images were analyzed, with assessments conducted on 8-bit gray-scale value, thickness, skewness, and kurtosis across various groups. Results: HSIL-HCGs are distinctly classified based on 8-bit gray-scale value. Significant statistical differences were observed in all groups, with HSIL-HCGs exhibiting higher cellular density and cluster thickness compared to NILM and AGC groups. In the AGC group, HCGs shows statistically significant differences in 8-bit gray-scale value compared to NILM-HCGs, but the classification performance by 8-bit gray-scale value is not high because the cell density and thickness are almost similar. These variations reflect the characteristic cellular structures unique to each group and substantiate the potential of 8-bit gray-scale value as an objective diagnostic indicator, especially for HSIL-HCGs. Conclusion: Our findings indicate that the integration of gray-scale-based texture analysis has the potential to improve diagnostic accuracy in cervical cytology and break through current diagnostic limitations in the identification of high-risk lesions.

摘要翻译： 

背景：宫颈细胞学中深染拥挤细胞群（HCGs）因其密集的三维结构常导致诊断困难，易出现过度诊断或诊断不足。本研究旨在通过定量纹理分析指标，揭示高级别鳞状上皮内病变（HSIL）-HCGs、非典型腺细胞（AGC）-HCGs及未见上皮内病变或恶性细胞（NILM）-HCGs之间的结构差异，以辅助良恶性病例的鉴别。方法：共分析585张HCGs图像，对各组细胞的8位灰度值、厚度、偏度和峰度进行评估。结果：HSIL-HCGs可通过8位灰度值实现明确区分。各组间均存在显著统计学差异，其中HSIL-HCGs相较于NILM和AGC组表现出更高的细胞密度和细胞团厚度。AGC组HCGs在8位灰度值上与NILM-HCGs存在显著差异，但由于其细胞密度和厚度与NILM组相近，仅依靠8位灰度值的分类效能有限。这些差异反映了各组特有的细胞结构特征，证实了8位灰度值作为客观诊断指标的潜力，尤其适用于HSIL-HCGs的识别。结论：本研究结果表明，基于灰度的纹理分析技术有望提升宫颈细胞学诊断的准确性，突破当前高危病变识别的诊断局限。

原文链接：

Quantitative Structural Analysis of Hyperchromatic Crowded Cell Groups in Cervical Cytology: Overcoming Diagnostic Pitfalls