Pathological prognostic factors in breast cancer

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Presence of lymph node LN metastasis is a strong prognostic factor in breast cancer, whereas the importance of extra-nodal extension and other nodal tumor features have not yet been fully recognized. Univariate survival analysis showed that several features of nodal metastases were associated with disease-free DFS or breast cancer specific survival BCSS. To conclude, the extent of ENE by its perpendicular diameter was independently prognostic and should be considered in line with nodal tumor burden in treatment decisions of node positive breast cancer. This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Understanding Your Pathology Report: Breast Cancer

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Prognostic and Predictive Factors of Invasive Breast Cancer | SpringerLink

Univariate and multivariate logistic regression was used to identify PET parameters associated with poor prognosis pathological factors: hormone receptor negativity, presence of HER-2 and triple negative phenotype. Receiver operating characteristic ROC curves and the AUC analysis, and reclassification measures, were performed in order to evaluate the performance of combining texture analysis and SUVmax for characterizing breast tumors. Texture analysis might be used, in addition to SUVmax, as a new tool to assess invasive breast cancer aggressiveness. Editor: Pankaj K.
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Prognostic factors in prostate cancer

Investigators whose work was published in JAMA Network Open found that patients with low mammographic breast density were at higher risk of developing severe lymphedema. Data published in JAMA Network Open found that patients with lower breast density were at a higher risk of developing severe lymphedema. The findings suggest that mammographic breast density can be used as a prognostic factor for lymphedema risk after treatment for patients with breast cancer. The investigators noted that by using a multivariate linear regression model that combines breast density with established risk factors, they could predict the development of lymphedema and ultimate provide volumetric estimates of lymphedema severity for patients with breast cancer.
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Breast Disease pp Cite as. Invasive breast carcinomas comprise a heterogeneous group of lesions that differ in their molecular and pathologic features and clinical behavior. Some patients have long disease-free survival, whereas others experience the rapid development of recurrence and metastases that are fatal within a few years of the initial diagnosis. Many factors in individual tumors can be evaluated to stratify patients into subsets with varying risks of recurrence and response to different therapy modalities.
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