Breast cancer stands out as the most frequently identified malignancy, ranking as the fifth leading cause of global cancer-related deaths. The American College of Radiology (ACR) introduced the Breast Imaging Reporting and Data System (BI-RADS) as a standard terminology facilitating communication between radiologists and clinicians; however, an update is now imperative to encompass the latest imaging modalities developed subsequent to the 5th edition of BI-RADS. Within this review article, we provide a concise history of BI-RADS, delve into advanced mammography techniques, ultrasonography (US), magnetic resonance imaging (MRI), PET/CT images, and microwave breast imaging, and subsequently furnish comprehensive, updated insights into Molecular Breast Imaging (MBI), diagnostic imaging biomarkers, and the assessment of treatment responses. This endeavor aims to enhance radiologists’ proficiency in catering to the personalized needs of breast cancer patients. Lastly, we explore the augmented benefits of artificial intelligence (AI), machine learning (ML), and deep learning (DL) applications in segmenting, detecting, and diagnosing breast cancer, as well as the early prediction of the response of tumors to neoadjuvant chemotherapy (NAC). By assimilating state-of-the-art computer algorithms capable of deciphering intricate imaging data and aiding radiologists in rendering precise and effective diagnoses, AI has profoundly revolutionized the landscape of breast cancer radiology. Its vast potential holds the promise of bolstering radiologists’ capabilities and ameliorating patient outcomes in the realm of breast cancer management.
乳腺癌是最常见的恶性肿瘤，位居全球癌症相关死亡原因的第五位。美国放射学会（ACR）推出的乳腺影像报告和数据系统（BI-RADS）作为标准化术语，促进了放射科医师与临床医生之间的沟通；然而，随着第五版BI-RADS发布后新型影像技术的发展，对该系统进行更新已势在必行。本文综述了BI-RADS的发展历程，深入探讨了先进乳腺X线摄影技术、超声检查、磁共振成像、PET/CT成像及微波乳腺成像技术，并系统阐述了分子乳腺成像、诊断性影像生物标志物及治疗反应评估的最新进展，旨在提升放射科医师满足乳腺癌患者个体化需求的专业能力。最后，我们探讨了人工智能、机器学习和深度学习在乳腺癌分割、检测、诊断以及新辅助化疗疗效早期预测中的应用价值。通过整合能够解析复杂影像数据并辅助放射科医师做出精准诊断的先进计算机算法，人工智能已深刻改变了乳腺癌放射学的格局。其在提升放射科医师诊断能力、改善乳腺癌患者预后方面展现出巨大潜力。
Impact of Imaging Biomarkers and AI on Breast Cancer Management: A Brief Review
肿瘤(癌症)患者之家