Prognostic Factors in Breast Cancer.

1995 ◽  
Author(s):  
Jeffery Seidman
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

Prognostic Factors in Breast Cancer

1989 ◽  
Vol 3 (4) ◽  
pp. 641-652 ◽  
Author(s):  
Douglas E. Merkel ◽  
C. Kent Osborne
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

Prognostic Factors in Breast Cancer

1997 ◽  
Author(s):  
Timothy J. O'Leary ◽  
Jeffrey D. Seidman
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

scholarly journals Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors

2015 ◽  
Vol 26 (8) ◽  
pp. 2547-2558 ◽  
Author(s):  
Gene Young Cho ◽  
Linda Moy ◽  
Sungheon G. Kim ◽  
Steven H. Baete ◽  
Melanie Moccaldi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Histogram Analysis ◽  
Intravoxel Incoherent Motion ◽  
Histological Subtype

scholarly journals Surgery for primary tumor benefits survival for breast cancer patients with bone metastases: a large cohort retrospective study

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhangheng Huang ◽  
Xin Zhou ◽  
Yuexin Tong ◽  
Lujian Zhu ◽  
Ruhan Zhao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Bone Metastases ◽  
Cancer Patients ◽  
Primary Tumor ◽  
Predictive Accuracy ◽  
Rank Test ◽  
Breast Cancer Patients ◽  
Risk Of Death ◽  
The Impact

Abstract Background The role of surgery for the primary tumor in breast cancer patients with bone metastases (BM) remains unclear. The purpose of this study was to determine the impact of surgery for the primary tumor in breast cancer patients with BM and to develop prognostic nomograms to predict the overall survival (OS) of breast cancer patients with BM. Methods A total of 3956 breast cancer patients with BM from the Surveillance, Epidemiology, and End Results database between 2010 and 2016 were included. Propensity score matching (PSM) was used to eliminate the bias between the surgery and non-surgery groups. The Kaplan-Meier analysis and the log-rank test were performed to compare the OS between two groups. Cox proportional risk regression models were used to identify independent prognostic factors. Two nomograms were constructed for predicting the OS of patients in the surgery and non-surgery groups, respectively. In addition, calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to evaluate the performance of nomograms. Result The survival analysis showed that the surgery of the primary tumor significantly improved the OS for breast cancer patients with BM. Based on independent prognostic factors, separate nomograms were constructed for the surgery and non-surgery groups. The calibration and ROC curves of these nomograms indicated that both two models have high predictive accuracy, with the area under the curve values ≥0.700 on both the training and validation cohorts. Moreover, DCA showed that nomograms have strong clinical utility. Based on the results of the X-tile analysis, all patients were classified in the low-risk-of-death subgroup had a better prognosis. Conclusion The surgery of the primary tumor may provide survival benefits for breast cancer patients with BM. Furthermore, these prognostic nomograms we constructed may be used as a tool to accurately assess the long-term prognosis of patients and help clinicians to develop individualized treatment strategies.

Increased FDG uptake in breast cancer is associated with prognostic factors

2012 ◽  
Vol 26 (4) ◽  
pp. 345-350 ◽  
Author(s):  
Yasemin Sanli ◽  
Serkan Kuyumcu ◽  
Zeynep Gozde Ozkan ◽  
Göknur Işık ◽  
Hasan Karanlik ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Fdg Uptake

Disparities in breast cancer prognostic factors by race, insurance status, and education

2010 ◽  
Vol 21 (9) ◽  
pp. 1445-1450 ◽  
Author(s):  
Carol DeSantis ◽  
Ahmedin Jemal ◽  
Elizabeth Ward
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Insurance Status

Prognostic factors for skeletal relapse in breast cancer

2001 ◽  
Vol 27 (3) ◽  
pp. 153-157 ◽  
Author(s):  
I.J. Diel
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors

Maspin expression in invasive breast cancer: association with other prognostic factors

2003 ◽  
Vol 199 (4) ◽  
pp. 432-435 ◽  
Author(s):  
Syed K Mohsin ◽  
Ming Zhang ◽  
Gary M Clark ◽  
D Craig Allred
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Invasive Breast Cancer ◽  
Maspin Expression

Correlation of contrast-enhanced ultrasound kinetics with prognostic factors in invasive breast cancer

2013 ◽  
Vol 23 (12) ◽  
pp. 3228-3236 ◽  
Author(s):  
Botond K. Szabó ◽  
Ariel Saracco ◽  
Ervin Tánczos ◽  
Peter Aspelin ◽  
Karin Leifland ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Invasive Breast Cancer ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced
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