نتایج جستجو برای: breast cancer recurrence prediction
تعداد نتایج: 1281767 فیلتر نتایج به سال:
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...
Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women. Diagnosing the breast cancer metastasis at the earliest stages helps to choose the best treatment and improve the quality of life for patients. Method: In the present fundamental r...
background : magnetic resonance imaging of the breast is becoming a useful adjunct to mammography and sonography for the detection of breast lesions. however, it is not yet accepted as a routine examination for all breast cancer patients due to the lack of data regarding whether breast magnetic resonance imaging impacts recurrence or survival. this trial examines the use of magnetic resonance i...
the value of clinical use of tumor markers cea and ca15-3 for early detection of recurrent breast cancer still is a controversial. this study was investigated relationship between tumor markers cea and ca15-3 and recurrence breast cancer. data regarding 147 women who had breast cancer were entered into the study. patients were reviewed for 120 months after treatment. maximum time for relapse wa...
BACKGROUND Triple-negative breast cancer is a subtype of breast cancer with aggressive tumor behavior and distinct disease etiology. Due to the lack of an effective targeted medicine, treatment options for triple-negative breast cancer are few and recurrence rates are high. Although various multi-gene prognostic markers have been proposed for the prediction of breast cancer outcome, most of the...
Introduction: Breast cancer is one of the most common recurrence cancers among women. There are several factors that can affect multiple recurrence of this disease. On the other hand, simultaneous examination of the types of relapses will make the results more accurate. The purpose of this study was to use a joint frailty model to model multiple recurrences of breast cancer patients. Materials ...
The aim of the study was to evaluate dynamic contrast-enhanced breast magnetic resonance imaging (DCE-MRI) features for the prediction of early and late recurrences in patients with breast cancer.Of 1030 breast cancer patients who underwent surgery at our hospital from January 2007 to July 2011, 83 recurrent breast cancer patients were enrolled in this study. We compared MRI features (backgroun...
background: malignant neoplastic lesions of the breast are one of the main causes of cancer death among women. several factors can be influential in the treatment process of breast cancer patients. the expression status of estrogen and progesterone receptors in tumor cells is among the most important determinants affecting the treatment approach and prognosis of these patients. in this paper, w...
background: preoperative determination of the extent of viable residual tumor is an important issue after neoadjuvant treatment. on the other hand, retrospective data suggest that breast-conserving surgery is feasible up to stage iiia breast cancer without preoperative therapy. methods: we retrospectively analyzed 164 patients who underwent breastconserving surgery followed by adjuvant chemothe...
Early breast cancer recurrence is indicative of poor response to adjuvant therapy and poses threats to patients’ lives. Most existing prediction models for breast cancer recurrence are regression-based models and difficult to interpret. We apply a Decision Tree algorithm to the clinical information of a cohort of non-metastatic invasive breast cancer patients, to establish a classifier that cat...
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