Radiology Podcast | RSNA

Hosted by Dr. Ashwin Singh Parihar, this episode features Dr. Mickael Tordjman and Dr. Bachir Taouli discussing their landmark Radiology study on AI‑generated deepfake medical images that are realistic enough to fool trained radiologists. Together, they examine what this new level of image realism means for diagnostic accuracy, clinical trust, and the future of safeguards in medical imaging. The Rise of Deepfake Medical Imaging: Radiologists' Diagnostic Accuracy in Detecting ChatGPT-generated Radiographs. Tordjman and Yuce et al. Radiology 2026; 318(3):e252094. The Democratization of Deceit: Seeing Is No Longer Believing. Bhayana and Krishna. Radiology 2026; 318(3):e260466.

Dr. Celina Nahyun Jo talks with Dr. Mahla Radmard about how NEXUS and the Canadian C‑Spine Rule shape cervical spine imaging decisions in trauma patients. Together they explore new research that questions long‑standing imaging practices and highlights opportunities to improve value safety and accuracy in patient care. Evaluating National Emergency X-Radiography Utilization Study and Canadian C-Spine Rule Criteria and Their Clinical Impact on Cervical Spine Imaging: Best Practice. Asadollahi and Arjmand et al. Radiology 2026; 318(1):e243834.

Dr. Refky Nicola speaks with Dr. Atul Shinagare about his team's research showing that incidental adnexal lesions on single‑phase CT are often difficult for radiologists to classify consistently, with only certain classic lesions yielding strong agreement. Their conversation underscores the limitations of CT compared with ultrasound or MRI and reinforces that most incidental adnexal findings are benign, though many still require additional imaging for clarification. Incidental Adnexal Lesions: CT Diagnosis and Interreader Agreement. Guo et al. Radiology 2026; 318(2):e243477.

Dr. Ashwin Parihar speaking with Drs. Sungmin Woo and Alberto Vargas about why standardized PSMA PET scoring systems—such as PSMA‑RADS and PROMISE—are becoming essential for consistent interpretation, communication, and treatment planning in prostate cancer. They explore the evidence behind these frameworks, current barriers to adoption, and how future harmonization efforts like the SPARC Initiative may shape the evolution of PSMA PET reporting. Navigating the Scoring Systems and Interpretation Frameworksof Prostate-specific Membrane Antigen PET. Woo and Masci et al. Radiology 2025; 317(3):e250701.

Dr. Lauren Kim speaks with Adarsh Mallepally and Dr. Cory Trankle about their large-scale retrospective study of nearly 4 million patients examining the risk of nephrogenic systemic fibrosis after gadolinium-based contrast administration in those with advanced renal dysfunction. They discuss how modern group 2 and macrocyclic agents were associated with an exceedingly low incidence of NSF, offering important reassurance for evidence-based contrast use and evolving clinical practice. Nephrogenic Systemic Fibrosis in Patients with Advanced RenalDysfunction Following Gadolinium-based Contrast Agents. Mallepally et al. Radiology 2025; 317(3):e251794.

Dr. Linda Chu speaks with Dr. Kavitha Chinnaiyan and Dr. Jonathon Leipsic about why 2026 marks an inflection point for coronary CT, from AI-enabled plaque quantification to FFR-CT and evolving guideline support for CT-first evaluation of suspected coronary artery disease. They explore how advanced imaging tools are reshaping risk assessment, personalizing prevention and revascularization decisions, and strengthening collaboration between radiology and cardiology while highlighting the need for validation, standardization, and equitable access.

Dr. Reni Butler speaks with Dr. Anne Marie McCarthy and Dr. Christine Edmonds about their study examining Black–White racial differences in background parenchymal enhancement (BPE) on contrast-enhanced breast MRI. They discuss the finding that black women had higher odds of high BPE independent of breast density, explore potential biologic and environmental drivers, and consider how quantitative BPE assessment could improve breast cancer risk stratification and screening equity. Black-White Racial Differences in Background Parenchymal Enhancement at Breast MRI. Mahmoud et al. Radiology 2026; 318(1):e251041.

Hosted by Dr. Lauren Kim, this episode explores the most downloaded Radiology article of 2025 with guests Dr. Carolyn Wang, Dr. Allison Ramsey, and Dr. David Lang, focusing on updated consensus guidance for managing hypersensitivity reactions to iodinated contrast media. The discussion highlights major changes in clinical practice, including more selective use of corticosteroid premedication and switching contrast agents when feasible to reduce the risk of recurrent reactions and standardize patient care. Management and Prevention of Hypersensitivity Reactions to Radiocontrast Media: A Consensus Statement from the American College of Radiology and the American Academy of Allergy, Asthma & Immunology. Wang et al. Radiology 2025; 315(2):e240100.

Dr Linda Chu and co-hosts Drs Refky Nicola, Lauren Kim, and Reni Butler look back on the Top 10 most downloaded Radiology articles of 2025, highlighting the studies and consensus statements that resonated most with readers worldwide. From breast imaging and AI to MR safety, contrast reactions, and beyond, this episode explores why these papers mattered and how they are shaping clinical practice. Top Publications in Radiology, 2025. Fowler and Goh. Radiology 2025; 317(3):e253887.

Radiology podcast host Dr Linda Chu and co-hosts Drs Celina Jo, Sid Dogra, Lauren Kim, and Refky Nicola look back at the most cited Radiology articles of 2025, highlighting the research that most influenced clinical practice and scientific discourse. The episode explores key advances across imaging modalities, AI, and emerging technologies, offering context on why these studies mattered and what they signal for the future of radiology. Top Publications in Radiology, 2025. Fowler and Goh. Radiology 2025; 317(3):e253887.

Dr. Linda Chu speaks with Dr. Suhny Abbara, the new Editor-in-Chief of Radiology, about his global journey in academic radiology and medical publishing. Dr. Abbara shares his vision for advancing imaging science, embracing innovation such as AI, and shaping the future of the journal to improve patient care.

Dr. Refky Nicola speaks with Dr. Sven Haller about the current clinical use of AI-accelerated MRI, exploring how these techniques improve scan speed, patient comfort, workflow efficiency, and image quality. They also examine key challenges including hallucinations, validation gaps, economic considerations, and the need for clear standards to guide safe and effective adoption. The Current Status of AI-accelerated MRI Techniques in Clinical Use. Haller et al. Radiology 2025; 317(2):e24381

This episode reviews recent evidence on microwave and radiofrequency ablation as minimally invasive treatments for primary and secondary hyperparathyroidism, highlighting efficacy, safety, and complication profiles compared with surgery. Focusing on a multicenter prospective Radiology study in older patients, the discussion shows that both ablation techniques achieve meaningful biochemical improvement with acceptable risk, particularly as alternatives for patients who may not be ideal surgical candidates. Efficacy and Safety of Microwave and Radiofrequency Ablationin the Treatment of Hyperparathyroidism in Older Individuals:A Multicenter Prospective Study. Zhang and Liu et al. Radiology 2025; 317(1):e243359.

Dr. Lauren Kim speaks with Dr. Ritu Gill, Professor of Radiology at Columbia University, about the updated ninth edition TNM staging system for pleural mesothelioma, including the new metrics used to quantify pleural tumor in CT imaging. ARTICLE LINKS:Editorial: https://pubs.rsna.org/doi/10.1148/radiol.252343 Review: https://pubs.rsna.org/doi/10.1148/radiol.250531

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:cee59b98-0957-4b41-b5d5-47fb322bf09a-2" data-testid= "conversation-turn-6" data-scroll-anchor="true" data-turn= "assistant"> Host Dr. Linda Chu speaks with Dr. Jana Ivanidze and Dr. Rajiv Magge about how molecular imaging is transforming the diagnosis and management of breast cancer brain metastases, with an emphasis on precision and personalized care. Their discussion highlights emerging tools such as advanced PET techniques and liquid biopsy that support earlier detection, guide treatment planning, and shape the future of neuro-oncology. Sponsored by GE HealthCare.

Dr. Sid Dogra talks with Dr. Paul Yi about the safe use of large language models and other generative AI tools in radiology, including evolving regulations, data privacy concerns, and bias. They also discuss practical steps departments can take to evaluate vendors, protect patient information, and build a long term culture of responsible AI use. Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology. Yi et al. Radiology 2025; 316(3):e241516.

Dr. Linda Chu hosts a conversation with Dr. Chiara Bucciarelli-Ducci, Dr. Tim Leiner, and Gwenael Herigault on the latest innovations in cardiac MRI. They discuss how AI-driven workflow automation and helium-free systems are improving access, efficiency, and collaboration between radiologists and cardiologists. The episode also explores how advances in training, technology, and teamwork are enhancing care for cardiovascular patients. Sponsored by Philips Healthcare.

Dr. Linda Chu sits down with Dr. Anjum Ahmed, Chief Medical Officer at AGFA HealthCare, to explore how enterprise imaging is shaping the future of radiology through AI-driven workflows, human-centered design, and personalized patient care. Together, they discuss what "Imaging the Individual" means for radiologists today and what radiology might look like in 2030 and beyond. Sponsored by AGFA HealthCare.

Dr. Jeffrey Klein joins host Dr. Refky Nicola to reflect on his journey from aspiring internist to thoracic radiologist and longtime RSNA leader. He shares lessons from his tenure as Radiographics editor, insights on fostering community at the RSNA annual meeting, and timeless advice for the next generation of radiologists.

Our host, Dr. Celina Nahyun Jo, explores how identifying middle neck lymph node involvement can reshape clinical decision-making for nasopharyngeal carcinoma. Joined by Dr. Heejun Kang, they break down how this imaging finding could refine risk groups and potentially shift treatment intensity for certain patients. MRI-based Middle Neck Involvement in Stage N1–N2 Nasopharyngeal Carcinoma: A Marker for Risk Stratification. Qin and Jiang et al. Radiology 2025; 316(2):e243399. Middle Neck Involvement: New Layer of Risk Stratification in Nasopharyngeal Carcinoma. Jabehdar Maralani and Kang. Radiology 2025; 316(2):e252512.

Host Dr. Reni Butler sits down with outgoing Radiology Editor-in-Chief Dr. Linda Moy for an inspiring conversation about leadership, innovation, and the future of medical imaging. Dr. Moy reflects on her tenure at the journal, the impact of AI on radiology, and her vision for the next era of patient-centered care.

*]:pointer-events-auto scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "e42a2a6c-9e77-4666-b10e-7691827934f9" data-testid= "conversation-turn-2" data-scroll-anchor="false" data-turn= "assistant"> Dr. Ashwin Singh Parihar speaks with Dr. Gary Ulaner about new research comparing FDG PET-CT and conventional imaging for detecting oligometastatic breast cancer. They explore how advanced imaging can improve staging accuracy, the challenges of detecting lobular cancer, and the evolving role of targeted therapies in this emerging field. 18F-FDG PET/CT of Oligometastatic Disease in LocallyAdvanced Breast Cancer: PETABC Trial Post Hoc Analysis. Metser et al. adiology 2025; 316(2):e243788. Detection of Oligometastatic Disease in Breast Cancer:It's the Little Things That Count. Ulaner. Radiology 2025; 316(2):e251797. *]:pointer-events-auto scroll-mt-(--header-height)" dir="auto" tabindex="-1" data-turn-id= "9d3f7fd2-373c-4ad3-b3a6-9ecb2673123d" data-testid= "conversation-turn-3" data-scroll-anchor="false" data-turn="user">

Dr. Linda Chu speaks with Dr. Michael Trambert and Florent Saint-Clair about the unique workflow challenges in mammography and breast imaging. They explore clinical hurdles, the promise and pitfalls of AI, and how interoperability solutions can streamline efficiency and improve patient care. Sponsored by Dicom Systems.

Dr. Linda Chiu unpacks how natural language processing and large language models are transforming radiology, with insights from a review by Dr. Felipe Kitamura and colleagues. From tokenization to transformers, she explores both the promise and challenges of applying these powerful AI tools to clinical practice. Texts Are More than Notes, They Are Data: A Glimpse intoHow Machines Understand Text. Kitamura et al. Radiology 2025; 316(2):e243217.

Dr. Refky Nicola speaks with Dr. Bari Dane, Associate Professor of Radiology at NYU, about the new SAR consensus recommendations for defining small bowel Crohn's disease strictures on CT and MR enterography. They explore updated imaging criteria, the challenges of distinguishing inflammation from fibrosis, and emerging roles for ultrasound and AI in diagnosis and treatment response. SAR Consensus Recommendations for Defining Small BowelCrohn Disease Strictures at CT and MR Enterography. Dane et al. Radiology 2025; 316(1):e243123.

Dr. Lauren Kim speaks with Dr. Anna Rita Larici about the international consensus guidelines for imaging and managing post-COVID-19 residual lung abnormalities. They discuss the importance of standardized definitions, CT imaging protocols, and unified terminology to guide diagnosis and follow-up care for patients with long COVID. Best Practice: International Multisociety Consensus Statement forPost–COVID-19 Residual Abnormalities on Chest CT Scans. Yoon et al. Radiology 2025; 316(1):e243374.

Dr. Linda Chu speaks with Dr. Andrew Trout, Professor of Radiology and Director of Clinical Research at Cincinnati Children's, and Dr. Erin Angel, Vice President of Research and Scientific Affairs at GE HealthCare. They discuss the unique challenges of pediatric imaging and how collaboration and technology are advancing care for young patients while improving imaging for all. Sponsored by GE HealthCare.

Dr. Linda Chu and Dr. Sid Dogra speak with Jessie Gommers and Dr. Ioannis Sechopoulos about their study on how AI decision support influences radiologist performance and visual search in screening mammography. They explore key findings on sensitivity, specificity, reading time, and the future role of visual tracking in optimizing human–AI collaboration. Influence of AI Decision Support on Radiologists' Performance and Visual Search in Screening Mammography. Gommers and Verboom et al. Radiology 2025; 316(1):e243688.

Dr. Refky Nicola speaks with Dr. Perry Pickhardt about his study comparing CT colonography and multi-targeted stool DNA testing for colorectal cancer screening. They explore differences in sensitivity, specificity, cost-effectiveness, and strategies to optimize detection while minimizing invasiveness. CT Colonography versus Multitarget Stool DNA Test forColorectal Cancer Screening: A Cost-Effectiveness Analysis. Pickhardt et al. Radiology 2025; 315(3):e243775.

In this episode, we explore how nonprofit organizations like LBDA are working alongside industry partners to shape the evolving landscape of dementia biomarkers—bridging scientific innovation with real-world care. Featuring an engaging conversation with Dr. Sudhir Sivakumaran, Dr. Kathleen Poston, and Dr. Dustin Dunham on clinical utility, patient-centered research, and the road to broader adoption of biomarkers in Lewy body dementia, Alzheimer's disease and related disorders. This episode is sponsored by GE HealthCare

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.