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A novel technique to assess chromatin texture using pixel optical densitometry in oral squamous cell carcinoma

机译:一种使用像素光密度法评估口腔鳞状细胞癌染色质质地的新技术

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Background: The early detection of neoplasia is the prime aim of a diagnostician. Altered chromatin distribution is the earliest microscopic change observed in malignant transformation making it a valuable morphometric parameter. This study was aimed to assess and correlate the progressive changes in chromatin texture from normal to varying grades of premalignancies to malignancy of the oral cavity. Methods: Thirty-four archival tissue specimens categorized as normal buccal mucosa (5), low-grade epithelial dysplasia (11), high-grade epithelial dysplasia (7), and squamous cell carcinoma (11) were stained with Feulgen reaction. Pixel optical densitometry histograms were obtained from analysis of an average of 300 cells/case using ImageJ software. Nine histogram curve characteristics (including area under the curve, area integer percentage, center, centroid) were then analyzed statistically for ~differences between the four groups. Results: Area integer percentage (P = 0.002), center (P = 0.038), and centroid (P = 0.021) were statistically significant within the four groups The parameters showed a dip in their value from normal to low-grade dysplasia but showed a steady increase in high-grade dysplasia and carcinoma. Conclusion: The optical density characteristics had the ability to differentiate the progression of neoplastic changes by extracting information of the chromatin distribution not quantifiable by routine microscopy. The early clumping of chromatin in the periphery in low-grade dysplasia followed by progressively increasing chromatin aggregates in high-grade dysplasia and carcinoma correlated well with the shift observed in the histogram center and centroid. The novel pixel optical densitometry technique efficiently predicted malignant transformation.
机译:背景:肿瘤的早期发现是诊断医生的主要目标。染色质分布的改变是在恶性转化中观察到的最早的微观变化,使其成为有价值的形态计量参数。这项研究旨在评估和关联染色质质地从正常到不同等级的癌前病变到口腔恶性肿瘤的进行性变化。方法:用Feulgen反应对分类为正常颊粘膜(5),低度上皮异常(11),高度上皮异常(7)和鳞状上皮癌(11)的34个档案组织标本进行染色。通过使用ImageJ软件平均分析300个细胞/盒获得像素光密度测定直方图。然后对九组直方图曲线特征(包括曲线下面积,面积整数百分比,中心,质心)进行统计分析,以了解四组之间的差异。结果:在四组中,面积整数百分比(P = 0.002),中心(P = 0.038)和质心(P = 0.021)具有统计学意义。参数显示其值从正常到低度发育不良有所下降,但显示为高度发展异常增生和癌。结论:光密度特征能够通过提取常规显微镜无法量化的染色质分布信息来区分肿瘤变化的进程。在低度不典型增生中外周染色质的早期团聚,然后在高度不典型增生和癌中逐渐增加的染色质聚集体与在直方图中心和质心处观察到的变化良好相关。新型像素光密度测定技术可有效预测恶性转化。

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