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These studies suggest that breast cancer can be detected through a combination of clinical evaluation, imaging techniques, biomarkers, and advanced technologies like artificial intelligence and radiomics.
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Breast cancer can present itself in various ways. The most common symptom is the presence of a lump in the breast. Other symptoms may include indentation, nipple retraction, or discharge. In some cases, women may present with symptoms of advanced disease, such as pain or noticeable changes in breast shape.
The initial step in diagnosing breast cancer typically involves a detailed medical history and a clinical examination. This is part of what is known as the "triple assessment" approach, which also includes imaging and biopsy.
Several imaging techniques are used to detect breast cancer:
A biopsy, usually guided by imaging, is performed to confirm the diagnosis. This involves taking a sample of breast tissue to be examined under a microscope.
Recent advances have enabled the use of molecular and genetic biomarkers for more precise diagnosis. Key biomarkers include cancer antigens (CA 15-3, CA 27-29), Human Epidermal Growth Factor Receptor 2 (HER2), and circulating tumor cells (CTC). These biomarkers can be detected using multigene assays, which help in understanding the genetic heterogeneity of the cancer.
Biosensors are emerging as a rapid and cost-effective method for early-stage breast cancer detection. These devices can detect specific biomarkers in body fluids, offering a non-invasive diagnostic option. Microwave imaging is another promising technique that provides rapid and cost-effective screening.
Radiomics involves extracting quantitative features from medical images to provide a comprehensive tumor characterization. This technique enhances the sensitivity and specificity of traditional imaging methods and can help in distinguishing between benign and malignant lesions .
Early detection of breast cancer significantly improves the chances of successful treatment. Traditional methods like clinical evaluation, imaging, and biopsy remain the cornerstone of diagnosis. However, advanced techniques such as molecular and genetic biomarkers, biosensors, and radiomics are paving the way for more precise and early detection. By integrating these advanced tools with traditional methods, healthcare professionals can offer more personalized and effective treatment plans, ultimately improving patient outcomes.
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