This review examines ultrasound elastography’s role in improving breast lesion detection and cancer diagnosis. Breast cancer is a major health concern, making early detection essential. Traditional imaging methods, like mammography and conventional ultrasound, have limitations, often leading to unnecessary biopsies. Ultrasound elastography, a non-invasive technique assessing tissue stiffness, aids in distinguishing malignant from benign lesions. By measuring tissue response to mechanical stress, elastography enhances diagnostic accuracy and reduces unnecessary procedures.
This review explores current research on elastography’s benefits and limitations. Studies suggest combining it with conventional ultrasound improves lesion characterization and diagnostic confidence. Future research should refine techniques, integrate machine learning, and conduct large-scale trials to validate effectiveness. Advancing elastography in breast cancer imaging could significantly enhance early detection and patient outcomes. Continued research and technological development are needed to maximize its potential.
