Recent advances in medical imaging are transforming early breast cancer detection, aiming to improve diagnostic precision and patient outcomes.
Digital breast tomosynthesis, or 3D mammography, enhances cancer detection rates by up to 40% while reducing false positives and recall rates.
Contrast-enhanced spectral mammography (CESM) complements traditional mammography by enhancing lesion visibility through iodine-based contrast agents.
Ultrasound, especially automated 3D ultrasound and contrast-enhanced ultrasound (CEUS), aids in detecting cancers in dense breast tissue and differentiating between benign and malignant masses.
Magnetic resonance imaging (MRI) is highly sensitive, particularly for high-risk cohorts, and plays a crucial role in preoperative staging and for BRCA mutation carriers.
Emerging techniques like thermography with dynamic angiothermography and molecular breast imaging (MBI) show potential but require further validation for widespread adoption.
PET/CT, PET/MRI, and optoacoustic imaging represent evolving hybrid technologies that offer comprehensive structural and functional assessments for early detection and treatment planning.
Risk-adapted screening protocols, including tailored strategies for average-risk, high genetic risk, and dense breast populations, are shifting breast cancer care towards precision medicine.
Challenges such as healthcare disparities, radiation exposure, and overdiagnosis persist, but AI integration and noninvasive biomarkers show promise in improving detection algorithms and stratifying malignancy risk.
Hybrid imaging approaches that combine molecular, anatomic, and functional data aim to revolutionize breast cancer detection, offering precision-guided therapies and improving quality of life.
Future efforts must focus on affordability, radiation reduction, and evidence-based screening protocols to address global disparities and enhance patient care in the fight against breast cancer.