采用图象分析技术对喉部肿瘤组织细胞核形态参数、AgNORs计数、雌激素受体和铜锌超氧化物歧化酶含量进行原位定量研究,结果表明图象分析技术能较好的反映出原来的组织结构特点,对组织细胞及其结构形态进行定量分析,所得结果准确可靠,从而排除了人为因素的影响,为癌和癌前病变诊断的客观化提供了量化依据。提示图象分析技术在喉部肿瘤研究具有广阔的应用前景。 Image analysis techniques were used to quantitatively investigate the nuclear morphological parameters, AgNORs counts, estrogen receptors, and copper-zinc superoxide dismutase (SOD) contents in laryngeal neoplasms. The results show that the image analysis technique can better reflect the original Organizational structure characteristics, quantitative analysis of the organization of cells and their structural morphology, the results obtained are accurate and reliable, thus eliminating the influence of human factors, to provide a quantitative basis for the diagnosis of cancer and precancerous lesions. Tip image analysis technology has a broad application prospect in the study of laryngeal tumors.