Comprehensive Guide on Breast Cancer Diagnosis
*Corresponding Author:Received Date: Sep 02, 2024 / Accepted Date: Sep 30, 2024 / Published Date: Sep 30, 2024
Citation: Gaston L (2024) Comprehensive Guide on Breast Cancer Diagnosis. J Cancer Diagn 8: 261.DOI: 10.4172/2476-2253.1000261
Copyright: 漏 2024 Gaston L. 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.
Abstract
Breast cancer is one of the most prevalent and life-threatening malignancies affecting women worldwide. Early and accurate diagnosis is crucial for improving survival rates and treatment outcomes. This review highlights the advancements in breast cancer diagnosis, encompassing both conventional and emerging techniques. Mammography, ultrasound, and magnetic resonance imaging (MRI) remain the primary imaging modalities for early detection, while biopsy and histopathological analysis confirm diagnosis. In recent years, molecular and genetic testing, such as gene expression profiling, has revolutionized diagnostic precision, enabling personalized treatment strategies. Furthermore, artificial intelligence (AI) and machine learning (ML) algorithms are being increasingly integrated into diagnostic workflows, offering promise in improving accuracy, reducing human error, and predicting disease progression. Despite significant progress, challenges such as accessibility, affordability, and disparities in diagnostic quality persist, particularly in low-resource settings. This paper explores the current state of breast cancer diagnostic methods, their limitations, and future trends, emphasizing the importance of multidisciplinary approaches in optimizing patient outcomes.
