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首页> 外文期刊>Journal of Oral and Maxillofacial Pathology >Nuclear features in oral squamous cell carcinoma: A computer-assisted microscopic study
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Nuclear features in oral squamous cell carcinoma: A computer-assisted microscopic study

机译:口腔鳞状细胞癌的核特征:计算机辅助显微镜研究

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Background and Objectives:Oral squamous cell carcinoma (OSCC) is one of the most common tobacco-related cancers affecting the Indian population. Various malignancy-grading systems based on different histopathological features have been proposed for OSCC. Due to inherent subjectivity, inter-observer variation and reproducibility of a grading system remains a problem. Grading systems based on nuclear morphometry have been proposed for laryngeal, renal and pharyngeal carcinomas. In this study, an attempt was made to grade oral OSCC based on computer-assisted microscopic evaluation of nuclear features. Our intention was also to evaluate the use of Feulgen stain for studying nuclear features.Materials and Methods:Sections made from buccal mucosa biopsies of normal mucosa as well as different grades OSCC were stained by Feulgen reaction. The nuclear features were evaluated by computer-assisted microscopic image analysis for nuclear area (NA), nuclear perimeter (NP) and nuclear form factor (NF) and correlated with histologic grading of OSCC. Nuclear shape, membrane outline, chromatin clumps, nucleoli, and abnormal mitoses were also evaluated.Results:NA and NP were observed to be significantly increased in OSCC (P < 0.001) when compared with the control group. These values increased in correlation with increasing grades of OSCC. However, NF was found to more in the control group (P < 0.001).Conclusion:It may be concluded from the results that computer-assisted nuclear morphometry is a reliable tool for grading OSCC. A new grading system based on nuclear features for OSCC has been proposed.
机译:背景与目的:口腔鳞状细胞癌(OSCC)是影响印度人口的最常见的烟草相关癌症之一。已经针对OSCC提出了基于不同组织病理学特征的各种恶性肿瘤分级系统。由于固有的主观性,观察者之间的差异和分级系统的可再现性仍然是一个问题。已经提出了基于核形态学的分级系统用于喉癌,肾癌和咽癌。在这项研究中,尝试基于计算机辅助的核特征显微镜评估对口腔OSCC分级。我们的目的还在于评估Feulgen染色在研究核特征中的应用。材料与方法:通过Feulgen反应对正常黏膜颊黏膜活检组织和不同级别的OSCC制成的切片进行染色。核特征通过计算机辅助显微图像分析评估核面积(NA),核周长(NP)和核形态因子(NF),并与OSCC的组织学分级相关。结果:与对照组相比,OSCC的NA和NP明显增加(P <0.001)。这些值随着OSCC等级的增加而增加。然而,对照组的NF含量更高(P <0.001)。结论:从结果可以得出结论,计算机辅助核形态学测量是OSCC分级的可靠工具。提出了一种基于核特征的OSCC新分级系统。

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