论文部分内容阅读
本文采用 AgNOR 技术对一系列口腔肿瘤和疾病病变细胞内核仁组织导体区(NOR)的数目与分布进行定量研究和观察,结果表明:各病变组中恶性肿瘤,如:口腔鳞状细胞癌、造釉细胞癌、腺癌和恶性黑色素瘤等的 NOR 计数值明显高于同组的其它良性肿瘤和低度恶性瘤损;癌前病变或具有侵袭性行为的病变,如:口腔粘膜白斑、牙源性角化囊肿和造釉细胞瘤等的 NOR计数值也较同组的正常对照或良性病变为高,NOR 计数值基本上与各类病变的生物学行为呈平行关系.统计学处理表明口腔良、恶性肿瘤之间,低恶、高恶病损之间以及正常组织与临界性病损之间 NOR 计数的差异均具有统计学意义。本研究结果提示 AgNOR 技术可望成为口腔病理研究,特别是口腔肿瘤病理学诊断的一种新手段。
This article uses AgNOR technology to quantitatively study and observe the number and distribution of a series of oral tumor and diseased cells in the nucleus and nucleus conductor area (NOR). The results show that: malignant tumors in various disease groups, such as: oral squamous cell carcinoma, made The NOR counts of ameloblastoma, adenocarcinoma, and malignant melanoma are significantly higher than other benign and low-grade lesions of the same group; precancerous lesions or invasive behavioral lesions, such as oral leukoplakia, orthodontic sources The NOR counts of hyperkeratotic cysts and ameloblastomas are also higher than those of the same group of normal controls or benign lesions. The NOR counts are basically parallel to the biological behavior of various types of lesions. Statistical analysis shows that the oral cavity is good There was a statistically significant difference in NOR counts between malignant tumors, low-grade and high-grade lesions, and between normal tissues and borderline lesions. The results of this study suggest that AgNOR technology is expected to be a new tool for oral pathology, especially pathological diagnosis of oral tumors.