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为了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 2 0 3例有随访结果的肿瘤作χ2 、因子分析和聚类判别分析。结果显示 ,叶状肿瘤的良性、交界性和恶性组间和 9种病理形态学参数 (除复发与肿瘤性坏死、分化方向和病理隆核分裂外 )不同等级间 ,在肿瘤复发和因瘤死亡上有统计学差异 (P<0 .0 1或 P<0 .0 5 ) ,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三个不同的层次
To investigate the diagnostic value of 9 pathomorphological parameters of breast phyllodes tumor, statistical SPSS software was used to analyze χ2, factor analysis and clustering analysis of 203 cases with follow-up results. The results showed that among the benign, borderline and malignant groups of phyllodes tumor and 9 pathomorphological parameters (except recurrence and neoplastic necrosis, differentiation direction and pathologic myelomonocytic division) in different grades, tumor recurrence and tumor death (P <0.01 or P <0.05). 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