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 breaks 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.
--------
16:34
--------
16:34
Imaging the Future: A Conversation with Dr. Moy
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.
--------
16:35
--------
16:35
Detecting Oligometastatic Breast Cancer with FDG PET-CT
*]: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">
--------
17:57
--------
17:57
Overcoming Workflow Challenges in Mammography and Breast Imaging-Sponsored by Dicom Systems
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.
--------
21:40
--------
21:40
From Notes to Data: NLP and Transformers in Radiology
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.
Radiology Podcast Editor Linda Chu, MD and guests discuss recently published research in the January 2021 Issue of Radiology. Subscribe today on Apple Podcasts, Google Play, Spotify, or ask Alexa to "play Radiology podcasts on TuneIn".
México