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为探讨乳腺叶状肿瘤的9种病理形态学特征性参数的诊断价值,应用统计学SPSS软件对203例有随访结果的肿瘤作r~2、因子分析和聚类判别分析。结果表明,叶状肿瘤的良性、交界和恶性组间与各种病理形态学参数不同等级间在肿瘤复发和因瘤死亡上均有统计学差异(P〈0.01)。借助SPSS软件中的聚类判别分析,可将9种病理形态学参数在诊断和鉴别诊断上的贡献区分为3个不同的层次。结论:肿瘤间质细胞过度增生和间质细胞密度是叶状肿瘤与乳腺腺纤维瘤的鉴别指标;瘤细胞异型性、核分裂数值、肿瘤生长方式和肿瘤性坏死可作为诊断叶状肿瘤和鉴别其良恶性的首要指标;薄壁血管数值、肿瘤分化倾向和病理性核分裂可作为参考性诊断和鉴别诊断指际。
To investigate the diagnostic value of 9 pathomorphological parameters of breast phyllodes tumor, 203 cases with follow-up results were analyzed by statistical SPSS software for r2, factor analysis and cluster discriminant analysis. The results showed that there was a significant difference (P <0.01) between tumor recurrence and tumor death in different grades of benign, borderline and malignant groups and different pathomorphological parameters. With the aid of cluster analysis in SPSS software, the contribution of nine pathomorphological parameters in diagnosis and differential diagnosis can be divided into three different levels. Conclusions: The proliferation of mesenchymal stromal cells and interstitial cell density are the differential markers of phyllodes tumor and mammary gland fibroids. The atypia, mitotic figures, tumor growth pattern and neoplastic necrosis of tumor cells can be used to diagnose leaf tumor and to identify its The primary indicators of benign and malignant; thin-walled vascular values, tumor differentiation and pathological mitosis can be used as a reference diagnosis and differential diagnosis.