Radiology Podcast | RSNA - TopPodcast.com

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New Insights Into Prostate Cancer Care Jul 07, 2026

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Dr. Ashwin Singh Parihar sits down with Dr. Louise Emmett to discuss how post-therapy Lutetium-177 PSMA SPECT/CT may help predict overall survival in patients with metastatic castration resistant prostate cancer and shape future treatment decisions. Drawing from the ENZA-p trial run by ANZUP cancer trials group, they explore quantitative imaging, treatment response assessment, adaptive dosing strategies, and the growing role of theranostics in precision oncology. 177 Lu-PSMA-617 SPECT/CT for Early Prediction of Overall Survival in Participants with Metastatic Castration-Resistant Prostate Cancer. Ayati et al. Radiology 2026; 319(1):e252672.

Finding the Value in AI Assistance Jun 30, 2026

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Dr. Siddhant Dogra sits down with Dr. Su Hwan Kim to discuss how reader experience influences the performance and real world utility of large language models for brain MRI differential diagnosis. Together they explore AI assisted decision making, automation bias, radiology training, and why strong AI performance does not always translate into meaningful clinical benefit. Performing Best When Needed Least: Reader Experience ShapesAccuracy Gains in Large Language Model–assisted Brain MRIDifferential Diagnosis. Schramm et al. Radiology 2026; 319(2):e253477.

Radiology Careers (re-release) Jun 23, 2026

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Dr. Reni Butler discusses career advice for early, mid, and late career radiologists, mentorship, and work life integration with Dr. Stamatia Destounis and Dr. Mark Mullins.

This episode was first published Oct 10, 2023

The Future of Crohn Disease Detection Jun 09, 2026

Show notes

Dr. Linda Chu explores the latest radiology research shaping the future of Crohn's disease diagnosis and management, from revised imaging criteria for bowel strictures to emerging MR elastography techniques that better assess intestinal fibrosis. She also highlights advances in abbreviated MR enterography and practical MRI approaches for perianal fistulas, emphasizing how imaging innovation may improve patient outcomes and clinical decision making. Revised Criterion for Identifying Small-Bowel Stricture in Crohn Disease at CT Enterography. Choi and Choi et al. Radiology 2026; 318(3):e253113. MR Elastography Characterization of Biomechanical Properties to Enhance Enterographic Fibrosis Diagnosis. Chen and Wang et al. Radiology 2026; 318(2):e252429. MR Elastography Biomarkers for Fibrosis in Crohn Disease Strictures. Qiu. Radiology 2026; 318(3):e250358. Comparison of Conventional versus Abbreviated MR Enterography: Assessing Disease Activity and Complicationsin Crohn Disease. Rimola et al. Radiology 2026; 319(2):e252039. How I Do It: MRI Approach to Perianal Fistulas. Stoker and Halligan. Radiology 2026; 319(2):e251909.

Ultra-processed Foods and Muscle Fat Jun 02, 2026

Show notes

Host Dr. Refky Nicola is joined by Dr. Zehra Akkaya, Dr. Gabby Joseph, and Dr. Thomas Link to explore new research connecting ultra-processed food consumption with thigh muscle fat infiltration on MRI. Together, they unpack how dietary patterns may impact muscle quality, metabolic health, and the future role of nutritional radiology in patient care. Ultra-processed Foods and Muscle Fat Infiltration at Thigh MRI: Data from the Osteoarthritis Initiative. Akkaya et al. Radiology 2026; 319(1):e251129.

Thermal and Nonthermal Liver Ablation May 26, 2026

Show notes

Dr. Linda Chu and Dr. Christos Georgiades for an in-depth look at thermal and non-thermal liver ablation, explaining how techniques like microwave ablation, cryoablation, and histotripsy work at a mechanistic level. Their conversation also explores how clinicians choose the right approach for each patient and highlights emerging advances in immunologic strategies and AI shaping the future of liver tumor treatment. Thermal and Nonthermal Liver Ablation: Mechanistic Foundations, Clinical Implementation, Immunologic Trial Design, and Artificial Intelligence. Centner et al. Radiology 2026; 318(3):e25026.

Abbreviated MRI Insights for Breast Imaging May 19, 2026

Show notes

Dr. Reni Butler speaks with Dr. Roberto Lo Gullo and Dr. Katja Pinker-Domenig about the growing role of abbreviated MRI in evaluating treatment response for breast cancer patients undergoing chemotherapy. They explore the balance between efficiency and accuracy, current limitations, and how emerging AI technologies could shape the future of breast imaging and patient care. Abbreviated MRI for the Evaluation of Treatment Response in Patients Undergoing Neoadjuvant Chemotherapy for Breast Cancer. Lo Gullo et al. Radiology 2026; 319(1):e252413

MRI for Active Surveillance in Prostate Cancer May 12, 2026

Show notes

In this episode, host Dr. Refky Nicola speaks with Dr. Francesco Giganti and Dr. Alex Kirkham about how MRI is used to guide active surveillance in prostate cancer, including the role of PRECISE scoring in tracking disease progression. They share practical insights on imaging techniques, measurement challenges, and how emerging AI tools may improve consistency and decision-making in surveillance care. MRI for Active Surveillance in Prostate Cancer: How I Do It. Giganti et al. Radiology 2026; 318(3):e242164.

Evolving Strategies for Renal Cell Carcinoma May 05, 2026

Show notes

Dr. Ashwin Singh Parihar sits down with Dr. Iben Lyskjær and Dr. Tommy Kjærgaard Nielsen to unpack new nationwide registry data comparing ablation and surgical approaches for small renal masses. Together, they explore how minimally invasive treatments stack up in real-world practice and what the findings mean for patient selection, outcomes, and future care decisions.

Ablation and Surgery Show Comparable Long-term Outcomes for T1a Renal Cell Carcinoma: A Danish Nationwide Registry Study. Ahrenfeldt et al. Radiology 2026; 318(3):e251485.

Reporting Guidelines for LLMs in Radiology Apr 28, 2026

Show notes

Dr. Lauren Kim sits down with Dr. Jonathan Kottlors to explore how large language models are reshaping radiology research and why standardized reporting is critical for trust and reproducibility. They dive into the new FLAIR framework and what it means for the future of AI integration in clinical radiology. Guidelines for Reporting Studies on Large Language Models in Radiology: An International Delphi Expert Survey. Kottlors and Iuga et al. Radiology 2026; 318(2):e250913.

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