Radiology Podcast | RSNA

Dr. Linda Chu reviews four important advances in liver imaging, from standardized liver MR elastography to a novel contrast enhanced ultrasound biomarker and emerging combination therapies for hepatocellular carcinoma. She explores how the 19% rule for liver stiffness measurement, Perfusion Beyond Margin on ultrasound, and the evolving role of Y90 radioembolization with immunotherapy may improve disease monitoring, prognostication, and treatment strategies for patients with liver disease and liver cancer.
Standardizing Liver MR Elastography: Guidelines for Reliable Stiffness Measurement in Chronic Liver Disease. Serai et al. Radiology 2026; 321(1):e260974.
Perfusion beyond Margin in Hepatocellular Carcinoma: A Contrast-enhanced US Feature Related to Tumor Invasiveness and Prognosis. Ding and Ji et al. Radiology 2026; 321(1):e260918.
Implications for Hepatocellular Carcinoma Ablation beyond the Tumor Margin: An Early Career Perspective. Shafaat and Reis. Radiology 2026; 321(1):e262757.
Convergence of Local and Systemic Therapies: A Comprehensive Society of Interventional Oncology Framework for 90Y Radioembolization with Immunotherapy in HCC. Radiology 2026; 320(3):e251415.

Dr. Reni Butler speaks with Dr. Qiuyi Fu and Dr. Weimin Chai about their research evaluating photon-counting CT for pre-treatment breast cancer assessment and how the technology compares with mammography, MRI, and PET CT for tumor characterization, staging, and lesion detection. Drawing from their prospective study, they explore photon-counting CT's potential advantages in measuring tumor extent, detecting nodal metastases, and advancing the future of breast imaging. 
Performance of Photon-counting CT for Assessing Pretreatment Breast Cancer: Comparison with Mammography, MRI, and 18F-FDG PET/CT. Fu and Zeng et al. Radiology 2026; 320(3):e253531.

Dr. Linda Chu sits down with Dr. Stephen Pomeranz, Dr. Gregory Connor, and Dr. Gautam Agrawal to explore the evolution of teleradiology from film-based workflows to today's highly connected remote reading environment. The panel discusses the impact of COVID on radiology practice, the importance of communication and clinical judgment, and how AI may reshape the future role of radiologists while enhancing patient care. 
Sponsored by Vision Radiology

Dr. Refky Nicola speaks with Dr. Divya Kumari and Ashima Kundu about their analysis of more than three decades of malpractice payment data, revealing why diagnostic errors dominate radiology litigation and how outpatient care contributes to risk. They discuss practical strategies for trainees and institutions to reduce diagnostic failures, the impact of legal reforms, and how artificial intelligence may reshape malpractice exposure in the future.
 
Insights into Radiology Malpractice Cases in the United Statesfrom the National Practitioner Data Bank. Kundu et al. Radiology 2026; 320(2):e253352.

Dr. Siddhant Dogra speaks with Dr. Ali Tejani about the essential AI literacy skills radiologists need to thrive in an era of foundation models, clinical AI tools, and rapidly evolving workflows. Together they explore AI education, model evaluation, human AI collaboration, workflow integration, and practical strategies for becoming a critical and informed user of radiology AI.
 
AI for Radiology: A Primer Part I. From Idea to Algorithm. Tejani et al. Radiology 2025; 317(1):e250692.
AI for Radiology: A Primer Part II. Interacting with AI Results. Tejani et al. Radiology 2026; 320(1):e252702.