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    Health & Fitness

    Radiology Podcast | RSNA

    Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to “play Radiology podcasts on TuneIn”.

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    Copyright: © 2020, Radiological Society of North America (RSNA)

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    Latest Episodes:
    Leadership and Legacy with Dr. Jeffrey Klein Nov 11, 2025
    Show notes

    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.


    Rethinking Risk in Nasopharyngeal Carcinoma Nov 04, 2025
    Show notes

    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.


    Imaging the Future: A Conversation with Dr. Moy Oct 28, 2025
    Show notes

    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.


    Detecting Oligometastatic Breast Cancer with FDG PET-CT Oct 21, 2025
    Show notes

    *]: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">

    Overcoming Workflow Challenges in Mammography and Breast Imaging - Sponsored by Dicom Systems Oct 14, 2025
    Show notes

    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.


    From Notes to Data: NLP and Transformers in Radiology Oct 07, 2025
    Show notes

    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.


    Crohn's Strictures: New Guidelines and Future Directions Sep 23, 2025
    Show notes

    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.


    Imaging Consensus for Post-COVID Lungs Sep 16, 2025
    Show notes

    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.


    Challenges and Unmet Needs in Pediatric Imaging: What Every Radiologist Needs to Know - Sponsored by GE HealthCare Sep 09, 2025
    Show notes

    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.


    Screening Mammography with AI Support Aug 26, 2025
    Show notes

    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.


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