Nuclear morphometry in flat epithelial atypia of the breast as a predictor of malignancy: a digital image-based histopathologic analysis.

IF 0.1 4区医学 Q4 Medicine Analytical and Quantitative Cytopathology and Histopathology Pub Date : 2014-12-01

Phillip A Williams, Bojana Djordjevic, Yasmine Ayroud, Shahidul Islam, Denis Gravel, Susan J Robertson, Carlos Parra-Herran

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Abstract

Objective: To identify morphometric features unique to flat epithelial atypia associated with cancer using digital image analysis.

Study design: Cases with diagnosis of flat epithelial atypia were retrieved and divided into 2 groups: flat epithelial atypia associated with invasive or in situ carcinoma (n = 31) and those without malignancy (n = 27). Slides were digitally scanned. Nuclear features were analyzed on representative images at 20x magnification using digital morphometric software.

Results: Parameters related to nuclear shape and size (diameter, perimeter) were similar in both groups. However, cases with malignancy had significantly higher densitometric green (p = 0.02), red (p = 0.03), and grey (p = 0.02) scale levels as compared to cases without cancer. A mean grey densitometric level > 119.45 had 71% sensitivity and 70.4% specificity in detecting cases with concomitant carcinoma.

Conclusion: Morphometry of features related to nuclear staining appears to be useful in predicting risk of concurrent malignancy in patients with flat epithelial atypia, when added to a comprehensive histopathologic evaluation.

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乳腺扁平上皮异型性的核形态测定作为恶性肿瘤的预测因子:基于数字图像的组织病理学分析。

目的:利用数字图像分析识别与癌症相关的扁平上皮非典型性的形态学特征。研究设计:将诊断为扁平上皮非典型性的病例分为两组:伴有浸润性或原位癌的扁平上皮非典型性患者(n = 31)和无恶性肿瘤患者(n = 27)。对载玻片进行数字扫描。使用数字形态测量软件对20倍放大的代表性图像进行核特征分析。结果:两组患者核的形状和大小参数(直径、周长)相似。然而，与没有癌症的病例相比，恶性肿瘤患者的密度测量绿色(p = 0.02)、红色(p = 0.03)和灰色(p = 0.02)水平明显更高。平均灰色密度水平> 119.45，检测合并癌的敏感性为71%，特异性为70.4%。结论:与核染色相关的形态学特征似乎有助于预测扁平上皮非典型性患者并发恶性肿瘤的风险，当结合综合组织病理学评估时。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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