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- W3030819728 abstract "ObjectiveTo investigate the relationship of greyscale ultrasonographic signs and clinical pathological characteristics with axillary lymph node metastasis in invasive breast cancer.MethodsThree hundred and thirty-five patients with pathologically confirmed breast cancer were retrospectively analyzed, which categorized into 2 groups, including lymph node metastasis group and lymph node non-metastasis group. The clinical and pathological characteristics included age, primary tumor size, histological grade, and molecular subtypes. The ultrasonographic features were examined including orientation, shape, margin, echo pattern, posterior acoustic feature, and calcification. Chi-Square test and Logistic regression analysis were performed to analyze the relationship of clinical pathological characteristics and greyscale ultrasonographic signs with axillary lymph node metastasis.ResultsAge ( 10) contributed to axillary lymph node metastasis in 335 cases, according to univariate analysis (P<0.05). Multivariate Logistic regression analysis showed age (OR=0.573, P=0.019), the primary tumor size (OR=2.359, P=0.001), histological grade (OR=0.529, P=0.008), and number of margin angulation (OR=1.889, P=0.031) were risk factors of axillary lymph node metastasis in breast cancer.ConclusionsUnivariate and multivariate analyses show the correlation between ultrasonographic features and axillary lymph node involvement. Combining with clinical pathological data, it can provide a predictor of axillary lymph node metastasis.Key words: Ultrasonography; Invasive breast cancer; Lymph node metastasis; Clinical pathology" @default.
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- W3030819728 date "2017-05-25" @default.
- W3030819728 modified "2023-09-23" @default.
- W3030819728 title "The correlation study between greyscale ultrasonography of invasive breast cancer and axillary lymph node involvement" @default.
- W3030819728 doi "https://doi.org/10.3760/cma.j.issn.1004-4477.2017.05.012" @default.
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