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应用AgNORs银染技术结合图像分析对67例大肠癌(其中45例有癌旁粘膜)、39例腺瘤及15例正常大肠组织进行了AgNORs检测和分析。大肠癌与良性病变(腺瘤、癌旁粘膜、正常肠粘膜)的AgNORs各项参数之间有显著性差异(P<0.01)。经逐步判别对AgNORs参数评定,选出2项较优指标(颗粒数、颗粒总面积),建立判别函数,对良性病变及大肠癌的判定回代符合率分别为94.79％、86.57％。结果表明,图像分析结合有效的统计学方法,能对大肠良恶性病变诊断提供客观可靠的依据。AgNORs测定对鉴别大肠良恶性肿瘤有重要意义。
Using AgNORs silver staining technique and image analysis, AgNORs were detected and analyzed in 67 cases of colorectal cancer (45 of which had paraneoplastic mucosa), 39 cases of adenoma, and 15 cases of normal colorectal tissue. There were significant differences in the parameters of AgNORs between colorectal cancer and benign lesions (adenomas, paraneoplastic mucosa, and normal intestinal mucosa) (P<0.01). Grading the parameters of AgNORs step by step, two better indicators (number of particles, total area of particles) were selected and a discriminant function was established. The conformity rate of benign lesions and colorectal cancer was 94.79% and 86.57%, respectively. The results show that image analysis combined with effective statistical methods can provide an objective and reliable basis for the diagnosis of benign and malignant lesions of the large intestine. The determination of AgNORs is important for the identification of benign and malignant colorectal tumors.