Systematic analysis of parameters predicting pathological axillary status (ypN0 vs. ypN+) in patients with breast cancer converting from cN+ to ycN0 through primary systemic therapy (PST)

• Published in: Clinical & experimental metastasis Vol. 35; no. 8; pp. 777 - 783
• Main Authors: Liedtke, C., Kolberg, Hans-Christian, Kerschke, L., Görlich, D., Bauerfeind, I., Fehm, T., Fleige, B., Helms, G., Lebeau, A., Stäbler, A., Schmatloch, S., Hausschild, M., Schwentner, L., von Minckwitz, Gunter, Loibl, S., Untch, M., Kühn, T.
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01.12.2018; Springer Nature B.V
• Subjects: Accuracy; Biomedical and Life Sciences; Biomedicine; Breast cancer; Cancer Research; Chemotherapy; Confidence intervals; Conversion; Estrogen receptors; Hematology; Lymph nodes; Model accuracy; Nodes; Nomograms; Oncology; Optimization; Parameters; Patients; Performance prediction; Regression analysis; Regression models; Research Paper; Statistical analysis; Surgical Oncology; Tumors; SENTINA trial; Primary systemic therapy; Prediction of lymph node status; Lymph node conversion

Optimization of axillary staging among patients converting from clinically node-positive disease to clinically node-negative disease through primary systemic therapy is needed. We aimed at developing a nomogram predicting the probability of positive axillary status after chemotherapy based on clinic...