Radiology Podcasts | Rsna

In this episode, Dr. Linda Chu explores a major Radiology consensus statement on optimizing CT angiography for suspected pulmonary embolism. The discussion covers advanced imaging techniques, key considerations for special populations, and standardized reporting practices to improve diagnostic clarity and patient outcomes. Optimal Approach to Performing and Reporting ComputedTomography Angiography for Suspected Acute PulmonaryEmbolism: A Clinical Consensus Statement of the ESC Working Groupon Pulmonary Circulation & Right Ventricular Function, the FleischnerSociety, the Association for Acute Cardiovascular Care (ACVC) andthe European Association of Cardiovascular Imaging (EACVI) of theESC, Endorsed by European Respiratory Society (ERS), Asian Societyof Thoracic Radiology (ASTR), European Society of Thoracic Imaging(ESTI), and Society of Thoracic Radiology (STR). Radiology 2025; 315(3):e243833.

Dr. Linda Chu speaks with Dr. Ramin Khorasani about targeted interventions that reduced ambiguous radiologist recommendations for additional imaging while dramatically improving the clarity and follow-through of actionable recommendations. They explore how a structured system of care, closed-loop communication, and leadership engagement can advance high-value, patient-centered care in radiology. This episode is sponsored by Mayo Clinic.  Cumulative Effect of Targeted Interventions on Radiologist Recommendations for Additional Imaging. Abbasi et al. Radiology 2025; 315(3):e243750.

Host Dr. Reni Butler is joined by Dr. Sarah Eskreis-Winkler and Dr. Katja Pinker to discuss their recent work on adaptive breast MRI scanning using AI to improve breast cancer diagnosis and management. They explore how advanced MRI techniques and artificial intelligence can enhance imaging precision, leading to better patient care in breast imaging. Adaptive Breast MRI Scanning Using AI. Eskreis-Winkler et al. Radiology 2025; 315(3):e242924

Dr. Linda Chu reviews recent articles in the Generative AI Collection, covering clinical history extraction, case interpretation with vision language models, and report proofreading.   The articles covered in the podcast are: Leveraging Large Language Models to Generate Clinical Histories for Oncologic Imaging Requisitions | Radiology   Assessing Completeness of Clinical Histories Accompanying Imaging Orders Using Adapted Open-Source and Closed-Source Large Language Models | Radiology   Impact of Multimodal Prompt Elements on Diagnostic Performance of GPT-4V in Challenging Brain MRI Cases | Radiology   Generative Large Language Models Trained for Detecting Errors in Radiology Reports | Radiology   Large-Scale Validation of the Feasibility of GPT-4 as a Proofreading Tool for Head CT Reports | Radiology

Dr. Lauren Kim is joined by Parminder Bhatia, Chief AI Officer, and Roland Rott, President and CEO of GE HealthCare Imaging, to explore how artificial intelligence is reshaping medical imaging. They discuss the potential of AI to improve efficiency, enhance diagnostic accuracy, and address key challenges like workforce shortages and rising demand for care.  This episode is sponsored by GE HealthCare. 

In this episode, host Dr. Refky Nicola speaks with Dr. Bettina Siewert about her compelling article on moral distress, moral injury, and burnout in radiology. Together, they explore the systemic challenges radiologists face today and practical strategies for fostering a healthier work environment. Moral Distress, Moral Injury, and Burnout in Radiology Practice. Siewert and Ayyala. Radiology 2025; 315(2):e241174. Tackling Moral Distress in Radiology: Root Causes andSystemic Solutions. Hanneman and Makary. Radiology 2025; 315(2):e250273.

Dr. Linda Chu speaks with Dr. Rajiv Gupta and Dr. Andrea Diociasi about new findings linking repetitive blast exposure in Special Operations Forces (SOF) members to distinct changes in brain connectivity and cortical volume. They discuss how advanced MRI techniques and predictive models are uncovering correlations between neuroimaging markers and long-term neurobehavioral symptoms. Distinct Functional MRI Connectivity Patterns and CorticalVolume Variations Associated with Repetitive BlastExposure in Special Operations Forces Members. Diociasi et al. Radiology 2025; 315(1):e233264.

In this episode, Dr. Ashwin Parihar speaks with Dr. Petrice Cogswell about the radiologist’s critical role in diagnosing Alzheimer’s disease and how imaging advances are reshaping early detection. They also explore how innovation at scale, platform thinking, and operational alignment drive progress across complex healthcare systems. This episode is sponsored by Eli Lilly and Company.

In this episode, host Dr. Reni Butler speaks with Dr. Kalina Slavkova, Dr. Ruya Kang, Dr. Despina Kontos, and Dr. Habib Rahbar about their groundbreaking research using MRI-based radiomic features to improve risk stratification in ductal carcinoma in situ (DCIS). The discussion explores how combining clinical data, imaging, and AI-driven analysis could help personalize treatment and reduce overtreatment in breast cancer care. MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial). Slavkova and Kang et al. Radiology 2025; 315(1):e241628.

Dr. Lauren Kim is joined by Dr. Ivan Pedrosa and Dr. Robert Watson to discuss the newly updated ACR MRI Safety Manual. They explore key changes, the rationale behind new guidelines, and the implications for both clinical practice and research. American College of Radiology Manual on MR Safety:2024 Update and Revisions. Pedrosa et al. Radiology 2025; 315(1):e241405. The Updated ACR Manual on MR Safety and How It WillAffect Your Practice. Kanal. Radiology 2025; 315(1):e242954. ACR Manual on MR Safety 2024  

In this episode, Dr. Ashwin Singh Parihar is joined by Dr. Jelijn Knip and Dr. Willemien Menke to discuss their study comparing FDG PET and FES PET for staging grade 1 or 2 ER-positive breast cancer, highlighting how FES PET may offer more accurate results for certain tumors. Tune in to learn how these imaging techniques can impact treatment decisions. The Diagnostic Accuracy of 18F-FDG PET and 18F-FES PET for Staging Grade 1–2 Estrogen Receptor–Positive Breast Cancer. Knip and Iqbal et al. Radiology 2025; 314(3):e241850.

In this episode, Dr. Linda Chu speaks with Sarah Atzen, Lead Scientific Editor for Radiology, about best practices for writing AI research papers. They explore key tips from the recent article “Top 10 Tips for Writing about AI in Radiology” to help authors improve clarity, accuracy, and impact. Top 10 Tips for Writing about AI in Radiology: A Brief Guide for Authors. Atzen. Radiology 2025; 314(2):e243347.

Dr. Lauren Kim speaks with Dr. Andrea Rockall, Clinical Chair of Radiology at Imperial College London, about the growing movement toward sustainable practices in radiology. They explore global collaboration, innovative technologies, and the power of data in reducing the environmental impact of medical imaging. Sustainability in Radiology: Position Paper and Call to Actionfrom ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R,RANZCR, and RSNA. Rockall et al. Radiology 2025; 314(3):e250325. RSNA’s online resources for environmental sustainability in imaging

In this episode, Dr. Refky Nikola speaks with Dr. Sohrab Afshari Mirak and Dr. Inas Mohamed about their recent article on the growing radiology workforce shortage and the critical role international medical graduates (IMGs) play in addressing it. The discussion explores data trends, challenges with the ABR Alternate Pathway, and potential solutions to strengthen the U.S. radiology pipeline. The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists. Afshari Mirak et al. Radiology 2025; 314(3):e232625.

In this episode, Dr. Linda Chu explores the capabilities of AI-generated podcast summaries using Google's Notebook LM and reflects on their potential role in medical communication. Join her as she compares speed and convenience with accuracy and nuance in this hybrid human-AI experiment. AI-generated Podcast Summaries of Radiology Articles: Analysis of Content and Quality. Tejani et al. Radiology 2025; 314(3):e243270.

Dr. Linda Chu speaks with Jakob Wasserthal and Tugba Akinci D'Antonoli about the power and potential of Total Segmentator MRI, sharing insights on its development, clinical impact, and open-source innovation. Through candid conversation, they explore how segmentation tools are reshaping medical imaging and research collaboration. TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI. Akinci D’Antonoli et al. Radiology 2025; 314(2):e241613. 

Join Dr. Refky Nicola and guest, Dr. Stephanie Nougaret, as they explore the evolution of MRI in rectal cancer staging, from the DISTANCE framework to the updated DISTANCED approach. Learn how advancements in imaging and structured reporting are shaping patient management and treatment planning. MRI of the Rectum: A Decade into DISTANCE, Moving to DISTANCED. Nougaret et al. Radiology 2025; 314(1):e232838.

Join Dr. Linda Chu as she chats with Dr. Magdalini Paschali and Dr. Akshay Chaudhari about foundation models in radiology. Learn how these AI models are shaping the future of medical imaging and clinical practice. Foundation Models in Radiology: What, How, Why, and Why Not. Paschali et al. Radiology 2025; 314(2):e240597.

Dr. Reni Butler speaks with Dr. Ed Hendrick and Dr. Debbie Monticciolo about the rising rates of metastatic breast cancer and the vital role of early detection through screening. They discuss their latest research, the impact of screening guidelines, and the urgent need to improve access and participation in breast cancer screening. Surveillance, Epidemiology, and End Results Data Show Increasing Rates of Distant-Stage Breast Cancer at Presentation in U.S. Women. Hendrick and Monticciolo. Radiology 2024; 313(3):e241397.  

Dr. Linda Chu speaks with Dr. Daniele Andreini about the Advantage II Study, which evaluates the accuracy of dynamic stress myocardial CT perfusion in patients with coronary artery stents. They discuss how this technique compares to invasive testing, its advantages over static CT perfusion, and its impact on cardiac imaging. Diagnostic Accuracy of Dynamic Stress Myocardial CT PerfusionCompared with Invasive Physiology in Patients with Stents:The Advantage 2 Study. Andreini and Mushtaq et al. Radiology 2024; 313(3):e232225.