大肠良恶性肿瘤核仁组成区蛋白定量测定的临床诊断价值

The Diagnostic Value of Silver-Staining Nucleolar Organizer Regions Associated Proteins (AgNORs) for Differentiating Benign and Malignant Tumors of Colon

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。

Argyrophilic technique associated with automatic image analysis system were used to analyse silver-staining nucleolar organizer regions associated proteins(AgNORs)of 67 cases of colorectal carcinomas (among them,45 cases had normal mucosa adjacent to carcinoma), 19 colorectal adenomas and 15 normal colorectal tissues. The results showed that the parameters of AgNORs were significantly different in carcinoma and other lesions(P<0. 01). The preliminary data banks for objective and reproducible grading were also made by stepwise discriminant analysis of 5 parameters of AgNORs. The discrimination rates of the benign and malignant lesions were 94. 79% and 86. 57% respectively,as compared to the original diagnoses. This result indicated that combining image analysis technique with valid statistical method might provide an objective, reliable means for differentiating the benign and malignant lesions.