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目的 探讨定量病理学在妇科粘液性肿瘤中的诊断意义。方法 采用图像分析进行细胞核形态定量分析 ,并建立分类函数。结果 核体密度、核偏度、积分光密度、AgNORs颗粒计数和核面积是交界性粘液囊腺瘤和高分化粘液性癌鉴别的有效指标。在回顾性考核中 ,判别前者的敏感性和特异性分别为 95%和 1 0 0 % ;后者的敏感性和特异性分别为 1 0 0 %和 95% ,总错误率为 2 %。在前瞻性考核中 ,判别前者的敏感性和特异性分别为 86%和 91 % ;后者的敏感性和特异性分别为 91 %和 86% ,总错误率为 1 1 %。结论 细胞核定量病理学在此两种疾病的鉴别诊断上具有实用价值。
Objective To investigate the diagnostic significance of quantitative pathology in gynecological mucinous neoplasms. Methods Quantitative analysis of nuclear morphology using image analysis, and the establishment of classification function. Results Nucleus density, nuclear deviation, integral optical density, AgNORs particle count and nuclear area were the most effective markers in distinguishing borderline mucinous cystadenoma from well-differentiated mucinous carcinoma. In the retrospective examination, the sensitivity and specificity of the former were 95% and 100% respectively; the sensitivity and specificity of the latter were 100% and 95% respectively, and the total error rate was 2%. In the prospective assessment, the sensitivity and specificity of the former were 86% and 91%, respectively. The sensitivity and specificity of the latter were 91% and 86% respectively, and the total error rate was 11%. Conclusion Quantitative nuclear pathology in the differential diagnosis of these two diseases has practical value.