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Bolton, K.L., Garcia-Closas, M., Pfeiffer, R.M., Duggan, M.A., Howat, W.J., Hewitt, S.M., Yang, X.R., Cornelison, R., Anzick, S.L., Meltzer, P., Davis, S., Lenz, P., Figueroa, J.D., Pharoah, P.D. and Sherman, M.E. (2010) Assessment of Automated Image Analysis of Breast Cancer. Tissue Microarrays for Epidemiologic Studies. Cancer Epidemiol Biomarkers, 19, 992-999. https://doi.org/10.1158/1055-9965.EPI-09-1023

has been cited by the following article:

• TITLE: Clinical Pathological Analysis in 104 Ductal Breast Cancer Cases

  AUTHORS: Yueling Jin, Xiuying Huang, Yanfei Li, Xuemei Li, Zhensheng Dai

  KEYWORDS: Pathological Analysis, Ductal Breast Cancer, Lymph Node Metastasis

  JOURNAL NAME: Journal of Biosciences and Medicines, Vol.5 No.12, November 21, 2017

  ABSTRACT: Ductal breast cancer is a clinically heterogeneous disease; we investigate the correlation between tumor size, comedo necrosis, number of cell mitoses and axillary lymph node metastasis in ductal breast cancer. In this study, 104 ductal breast cancer specimens were collected and divided into 3 groups: T1 group (tumor size ≤ 2 cm), T2 group (2 5.0 cm). Among those specimens, 95 cases were diagnosed with invasive ducted carcinoma, and 9 cases were ductal carcinoma in-situ (DCIS). Results show that T3 group has a higher rate of axillary lymph node metastasis than T2 group and T1 group; T2 group has a higher rate of lymph node metastasis than T1 group. The patients with the number of cell mitoses (≥10) were also has a higher rate of axillary lymph node metastasis (P = 0.0139) than the patients with the number of cell mitoses (