A new era in the diagnosis and treatment of breast cancer.
نویسندگان
چکیده
Randomized controlled mammography screening trials and the evaluation of service screening have unequivocally proven that regular mammography screening significantly reduces mortality from breast cancer. This evidence contradicts the theory of Fisher, claiming that breast cancer is a systemic disease from its inception and undermines the justification for systemic therapy in most screen-detected cancers, because they are still localized to the breast and can be cured by local treatment alone. When high quality mammographic screening is offered at regular intervals to 40- to 74- year-old women, over 50% of the invasive cancers will be detected in the size range of 1-14 mm, fewer than 20% will be axillary node positive, and only about 20% will be poorly differentiated. This predominance of early-stage disease has created a revolutionary new era for those involved in the diagnosis and treatment of patients with breast cancer.
منابع مشابه
An Ensemble Classification Model for the Diagnosis of Breast Cancer Using Stacked Generalization
Introduction: Breast cancer is one of the most common types of cancer whose incidence has increased dramatically in recent years. In order to diagnose this disease, many parameters must be taken into consideration and mistakes are possible due to human errors or environmental factors. For this reason, in recent decades, Artificial Intelligence has been used by medical practitioners to diagnose ...
متن کاملAn Ensemble Classification Model for the Diagnosis of Breast Cancer Using Stacked Generalization
Introduction: Breast cancer is one of the most common types of cancer whose incidence has increased dramatically in recent years. In order to diagnose this disease, many parameters must be taken into consideration and mistakes are possible due to human errors or environmental factors. For this reason, in recent decades, Artificial Intelligence has been used by medical practitioners to diagnose ...
متن کاملBreast Cancer: Risk Factors, Diagnosis and Management
ABSTRACT Breast cancer remains the most common cancer of women and one of the most common causes of cancer-related deaths worldwide. In spite of major advances in breast cancer diagnosis and treatment, the incidence of breast cancer remains high and the treatment of metastatic breast cancer remains challenging. This review presents an over...
متن کاملA New Knowledge-Based System for Diagnosis of Breast Cancer by a combination of the Affinity Propagation and Firefly Algorithms
Breast cancer has become a widespread disease around the world in young women. Expert systems, developed by data mining techniques, are valuable tools in diagnosis of breast cancer and can help physicians for decision making process. This paper presents a new hybrid data mining approach to classify two groups of breast cancer patients (malignant and benign). The proposed approach, AP-AMBFA, con...
متن کاملCan Prostate Specific Antigen Be Used as New Biomarker for Early Diagnosis of Breast Cancer?
Introduction: As a glycoprotein, Plasma Prostate-Specific Antigen (PSA) is mainly produced by prostate epithelial cells and is used as a major diagnostic tool for prostate cancer. A group of researchers relate the elevated number of estrogen receptors in breast cancer samples to the over-production of PSA in this type of cancer. Therefore, the present study aimed to determine the participants' ...
متن کاملDiagnosis of Breast Cancer Subtypes using the Selection of Effective Genes from Microarray Data
Introduction: Early diagnosis of breast cancer and the identification of effective genes are important issues in the treatment and survival of the patients. Gene expression data obtained using DNA microarray in combination with machine learning algorithms can provide new and intelligent methods for diagnosis of breast cancer. Methods: Data on the expression of 9216 genes from 84 patients across...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- The breast journal
دوره 16 Suppl 1 شماره
صفحات -
تاریخ انتشار 2010