Radiology Podcast | RSNA

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.

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.