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.

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.

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.

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

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.

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.

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.

In this episode, Dr. Linda Chu reviews new Radiology studies exploring how photon counting CT is transforming thoracic imaging with ultra‑high resolution and dramatically lower radiation and contrast doses. She examines whether these visually striking images translate into better diagnostic confidence and meaningful improvements in patient care for emphysema and lung cancer imaging. Ultra-Low-Dose Photon-counting Detector CT for EmphysemaAssessment: A Head-to-Head Comparative Study with Low-Dose CT. Yuan and Yang et al. Radiology 2026; 318(1):e251609. Photon-counting CT versus Energy-integrating Detector CTin Imaging Lung Cancer. Yang et al. Radiology 2026; 318(2):e251126. Photon-counting CT versus Energy-integrating Detector CTPerformance for Various BMI and Tumor Sizes in Lung Cancer. Zhou and Guo et al. Radiology 2026; 318(2):e251663. Prospective Evaluation of Ultra-Low-Dose Photon-counting CT inEmphysema Assessment. Schwartz. Radiology 2026; 318(2):e254065.

Hosted by Dr. Sid Dogra, this episode of the Radiology Podcast explores new research showing that where fat is distributed in the body—particularly visceral and organ-specific fat—may matter more for brain health than overall BMI. Drawing on a large UK Biobank MRI study, Dr. Dogra discusses how specific fat distribution patterns, including pancreatic-predominant and "skinny fat" phenotypes, are associated with accelerated brain aging, cognitive decline, and increased neurologic disease risk. Association of Body Fat Distribution Patterns at MRI with BrainStructure, Cognition, and Neurologic Diseases. Yu and Yao et al. Radiology 2026; 318(1):e252610.

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.