The Predictor of Axillary Lymph Node Metastases in Breast Cancer

BACKGROUND: The presence of axillary lymph node metastases (ALNM) and tumor size are two most important prognostic factors in breast cancer. An axillary lymph node dissection (ALND) is usually performed in infiltrating breast cancer for the information of therapeutic decision and prediction of prognosis. However this procedure results in lymphedema of the affected upper extremity, increased axillary drainage, sensory abnormality, and pain. If the axillary lymph node status could be predicted accurately prior to an ALND, selected patients with a low probability of ALNM could be spared the procedure. The purpose of this study was to determine the association between the incidence of ALNM and 14 clinico-pathologic factors by using univariate and multivariate analysis and to investigate the possibility of using those factors as predictors for ALNM. METHODS: We reviewed data from 253 patients with breast cancer who had undergone at least a level I/II axillary dissection between 1991 and 1998. The association between the incidence of ALNM and 14 clinico-pathologic factors (age, menstruation, tumor size, palpability of tumor, tumor site, pathologic type, nuclear grade, estrogen receptor status, progesteron receptor status, p53, c-erbB-2, Ki67, Cd34, and Cathepsin D) were analyzed by using univariate and, when significant, multivariate analysis. RESULTS: Approximately 38.7% of the 253 patients with breast cancer had ALNM. Univariate analysis showed that ALNM were associated with tumor size (P<0.01), pathologic type (P<0.001), palpability (P<0.01), and nuclear grade (P<0.01). However, independent predictors of ALNM in the multivariate analysis were tumor size and pathologic type. Among the patients with smaller than 1.0 cm in the tumor size and DCIS in the pathologic type, the ALNM was not founded. CONCLUSIONS: We conclude that the characteristics of primary breast cancer can help assess the risk for ALNM. Selected patients, who are assessed to be minimal risk, might be spared a routine ALND, if the treatment decision would not be influenced by the lymph node status.

CT for Preoperative Prediction of Axillary Lymph-Node Status in Patients with Breast Cancer

BACKGROUND: The clinical staging may serve to guide initial therapy based on all available preoperative data, such as history, physical and laboratory examinations, and biopsy material. Computed tomography is one of the most attractive methods of evaluating the clinical state of patients with breast cancer. In cases where the lymph nodes are enlarged, CT of the chest can accurately detect the level of axillary lymph nodes involvement. CT may also simultaneously play a role in evaluating the mediastinum and the supraclavicular areas for adenopathy, primary tumors and lung metastases. The aim of this study was to determine the appropriate size criteria for metastatic axillary lymph nodes on CT and to evaluate the validity of using CT to detect axillary lymph-node metastases due to breast cancer. METHODS: CT examination of the chest was performed before axillary lymph node dissection in 98 patients with breast cancer. We measured the sizes of the lymph nodes according to the short-axis diameters seen on CT. We estimated the sensitivity, the specificity, the ROC curve, and the predictability of CT based on lymph-node sizes. RESULTS: The diagnostic criterion for node metastases was 5 mm. At the 5 mm point, the accuracy of CT for axillary metastases was 70% with a sensitivity of 89%, a specificity of 60%, a negative predictive value of 90%, and a positive predictive value of 56%. CONCLUSIONS: In conclusion, CT is not an accurate assessment in the diagnosis of axillary lymph-nodemetastases due to breast cancer. However, CT data can be interpreted with sufficient sensitivity and negative predictability for CT to serve as a screening test.