Radiology Podcast | RSNA

Host Dr. Linda Chu sits down with Dr. Jie Nguyen, Dr. Todd Lawrence, and Dr. Kirk Davis to discuss an interdisciplinary consensus on standardized knee meniscus MRI reporting and the terminology that improves communication between radiologists and orthopedic surgeons. Together, they explore MRI criteria for meniscus tears, reporting best practices, surgical implications, post operative assessment, and how consistent language can enhance patient care and clinical decision making. Standardized Knee Meniscus MRI Reporting: An Interdisciplinary Delphi Consensus. Nguyen et al. Radiology 2026; 319(3):e251833.   Sponsored by GE HealthCare

Dr. Ashwin Parihar speaks with Dr. Olayinka A. Abiodun-Ojo and Dr. David M. Schuster about findings from the EMPIRE 2 trial, exploring how fluciclovine PET and PSMA PET influence salvage radiotherapy planning for men with recurrent prostate cancer after prostatectomy. The discussion examines the strengths and limitations of each tracer, the importance of prostate bed detection, and where fluciclovine may still have a role in the evolving era of PSMA-targeted imaging. 18F-Fluciclovine or 68Ga-PSMA-11 PET/CT–guided SalvageRadiotherapy Changes in Postprostatectomy BiochemicalRecurrence: Secondary Analysis of the EMPIRE-2 Trial. Abiodun-Ojo and Jani et al. Radiology 2026; 319(3):e251874. 

In this episode of the Radiology Podcast, Dr. Siddhant Dogra speaks with Dr. Albert Jiao about Radiology Reimagined and the critical role interoperability plays in integrating AI into everyday radiology workflows. Together, they explore lessons learned from large-scale AI demonstrations, practical considerations for evaluating imaging AI tools, and what the future of radiology innovation may look like. Radiology Reimagined: Interoperability and Lessons Learned from the Imaging AI in Practice Demonstration. Jiao et al. Radiology 2026; 319(3):e252225.

Dr. Lauren Kim speaks with first author Dr. Andrew Hernandez about his study which comprehensively quantified energy consumption in MRI, CT, and PET/CT imaging suites by measuring the energy utilization of main power, HVAC, and chilled water subsystems. The study showed that HVAC and chilled water subsystems contribute substantially to total energy consumption, that energy efficiency increases with increasing daily scanning volume, and that a substantial portion of energy consumption occurs during non-operating hours.   Quantification of Imaging Suite–Level Energy Patterns in MRI, CT, and PET/CT to Guide Energy Efficiency. Hernandez et al. Radiology 2026; 319(1):e253128.

Host Dr. Reni Butler sits down with Dr. Connie Lehman to discuss groundbreaking research on how AI-generated breast cancer risk scores change over time and what those changes may reveal about a woman's future cancer risk. Together, they explore the promise of longitudinal imaging biomarkers, personalized screening strategies, and how artificial intelligence could transform breast cancer detection and prevention. Longitudinal Analysis of Changes in Deep Learning Image-based Breast Cancer Risk Scores over Time. Lehman et al. Radiology 2026; 319(3):e253023.

Dr. Refky Nicola welcomes back Dr. Kate Hanneman to discuss new research examining the link between long-term air pollution exposure and coronary atherosclerosis detected on cardiac CT. Together, they explore key findings on plaque burden, sex-specific differences, cumulative exposure risks, and the growing cardiovascular implications of wildfire smoke.   Sex-Specific Associations between Long-term Air Pollution Exposure and Coronary Atherosclerosis at Cardiac CT. Castillo et al. Radiology 2026; 319(3):e252086.

Dr. Lauren Kim and first author Dr. Daniel Marinescu discuss this study comprised of approximately 1,500 patients which determines the relative importance of specific CT imaging features used to distinguish radiologic patterns in fibrotic interstitial lung disease. This study identifies areas of substantial incongruence between radiologist-assigned ILD patterns and current clinical diagnostic guideline definitions, incongruencies which in turn may help refine and standardize future diagnostic criteria. Association of CT Features with Radiologic Patterns in Interstitial Lung Disease: Multinomial Analysis in CARE-PF.  Marinescu et al. Radiology 2026; 318(3):e251944. From CT Features and Patterns to Clinical Pathways: Focusing a Multinomial Lens on Fibrotic ILD. Czum and Brown. Radiology 2026; 318(3):e260494.

Host Dr. Celina Nahyun Jo sits down with Dr. Perry Pickhardt to explore how opportunistic CT screening is transforming routine imaging into a powerful tool for cardiometabolic risk assessment, bone health evaluation, liver disease detection, and body composition analysis. Together, they discuss the role of explainable AI, the future of CT-based biologic age, and why value-added imaging has the potential to reshape preventive care.   CT-based Opportunistic Screening for Adding Clinical Value:How I Do It. Pickhardt et al. Radiology 2026; 319(1):e252106.

Dr. Linda Chu speaks with Dr. Eddy Zandee and Dr. Kirk Davis about multidisciplinary expert consensus recommendations aimed at reducing the use of low yield radiographs and improving imaging appropriateness across healthcare settings. They explore which common radiographic exams may offer limited clinical value, when CT or MRI may be more appropriate, and how education and workflow changes can help optimize imaging utilization. Optimizing Radiography Utilization: Multidisciplinary Expert Consensus Recommendations Endorsed by the Society of Academic Bone Radiologists, Society of Skeletal Radiology, American Societyof Emergency Radiology, Orthopaedic Trauma Association, American Academy of Emergency Medicine, and American Rhinologic Society. Zandee van Rilland et al. Radiology 2026; 319(2):e252309.

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.   177Lu-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.

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.  

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

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. 

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.   

Dr. Ashwin Parihar speaking with Drs. Sungmin Woo and Alberto Vargas about why standardized PSMA PET scoring systems—such as PSMA‑RADS and PROMISE—are becoming essential for consistent interpretation, communication, and treatment planning in prostate cancer. They explore the evidence behind these frameworks, current barriers to adoption, and how future harmonization efforts like the SPARC Initiative may shape the evolution of PSMA PET reporting. Navigating the Scoring Systems and Interpretation Frameworksof Prostate-specific Membrane Antigen PET. Woo and Masci et al. Radiology 2025; 317(3):e250701.  

Dr. Lauren Kim speaks with Adarsh Mallepally and Dr. Cory Trankle about their large-scale retrospective study of nearly 4 million patients examining the risk of nephrogenic systemic fibrosis after gadolinium-based contrast administration in those with advanced renal dysfunction. They discuss how modern group 2 and macrocyclic agents were associated with an exceedingly low incidence of NSF, offering important reassurance for evidence-based contrast use and evolving clinical practice. Nephrogenic Systemic Fibrosis in Patients with Advanced RenalDysfunction Following Gadolinium-based Contrast Agents. Mallepally et al. Radiology 2025; 317(3):e251794.   

Dr. Linda Chu speaks with Dr. Kavitha Chinnaiyan and Dr. Jonathon Leipsic about why 2026 marks an inflection point for coronary CT, from AI-enabled plaque quantification to FFR-CT and evolving guideline support for CT-first evaluation of suspected coronary artery disease. They explore how advanced imaging tools are reshaping risk assessment, personalizing prevention and revascularization decisions, and strengthening collaboration between radiology and cardiology while highlighting the need for validation, standardization, and equitable access.

Dr. Reni Butler speaks with Dr. Anne Marie McCarthy and Dr. Christine Edmonds about their study examining Black–White racial differences in background parenchymal enhancement (BPE) on contrast-enhanced breast MRI. They discuss the finding that black women had higher odds of high BPE independent of breast density, explore potential biologic and environmental drivers, and consider how quantitative BPE assessment could improve breast cancer risk stratification and screening equity. Black-White Racial Differences in Background Parenchymal Enhancement at Breast MRI. Mahmoud et al. Radiology 2026; 318(1):e251041.

Hosted by Dr. Lauren Kim, this episode explores the most downloaded Radiology article of 2025 with guests Dr. Carolyn Wang, Dr. Allison Ramsey, and Dr. David Lang, focusing on updated consensus guidance for managing hypersensitivity reactions to iodinated contrast media. The discussion highlights major changes in clinical practice, including more selective use of corticosteroid premedication and switching contrast agents when feasible to reduce the risk of recurrent reactions and standardize patient care. Management and Prevention of Hypersensitivity Reactions to Radiocontrast Media: A Consensus Statement from the American College of Radiology and the American Academy of Allergy, Asthma & Immunology. Wang et al. Radiology 2025; 315(2):e240100.

Dr Linda Chu and co-hosts Drs Refky Nicola, Lauren Kim, and Reni Butler look back on the Top 10 most downloaded Radiology articles of 2025, highlighting the studies and consensus statements that resonated most with readers worldwide. From breast imaging and AI to MR safety, contrast reactions, and beyond, this episode explores why these papers mattered and how they are shaping clinical practice. Top Publications in Radiology, 2025. Fowler and Goh. Radiology 2025; 317(3):e253887.

Radiology podcast host Dr Linda Chu and co-hosts Drs Celina Jo, Sid Dogra, Lauren Kim, and Refky Nicola look back at the most cited Radiology articles of 2025, highlighting the research that most influenced clinical practice and scientific discourse. The episode explores key advances across imaging modalities, AI, and emerging technologies, offering context on why these studies mattered and what they signal for the future of radiology. Top Publications in Radiology, 2025. Fowler and Goh. Radiology 2025; 317(3):e253887.

Dr. Linda Chu speaks with Dr. Suhny Abbara, the new Editor-in-Chief of Radiology, about his global journey in academic radiology and medical publishing. Dr. Abbara shares his vision for advancing imaging science, embracing innovation such as AI, and shaping the future of the journal to improve patient care.

Dr. Refky Nicola speaks with Dr. Sven Haller about the current clinical use of AI-accelerated MRI, exploring how these techniques improve scan speed, patient comfort, workflow efficiency, and image quality. They also examine key challenges including hallucinations, validation gaps, economic considerations, and the need for clear standards to guide safe and effective adoption. The Current Status of AI-accelerated MRI Techniques in Clinical Use. Haller et al. Radiology 2025; 317(2):e24381

This episode reviews recent evidence on microwave and radiofrequency ablation as minimally invasive treatments for primary and secondary hyperparathyroidism, highlighting efficacy, safety, and complication profiles compared with surgery. Focusing on a multicenter prospective Radiology study in older patients, the discussion shows that both ablation techniques achieve meaningful biochemical improvement with acceptable risk, particularly as alternatives for patients who may not be ideal surgical candidates. Efficacy and Safety of Microwave and Radiofrequency Ablationin the Treatment of Hyperparathyroidism in Older Individuals:A Multicenter Prospective Study. Zhang and Liu et al. Radiology 2025; 317(1):e243359. 

Dr. Lauren Kim speaks with Dr. Ritu Gill, Professor of Radiology at Columbia University, about the updated ninth edition TNM staging system for pleural mesothelioma, including the new metrics used to quantify pleural tumor in CT imaging. ARTICLE LINKS:Editorial: https://pubs.rsna.org/doi/10.1148/radiol.252343 Review: https://pubs.rsna.org/doi/10.1148/radiol.250531

*]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" dir="auto" tabindex="-1" data-turn-id= "request-WEB:cee59b98-0957-4b41-b5d5-47fb322bf09a-2" data-testid= "conversation-turn-6" data-scroll-anchor="true" data-turn= "assistant"> Host Dr. Linda Chu speaks with Dr. Jana Ivanidze and Dr. Rajiv Magge about how molecular imaging is transforming the diagnosis and management of breast cancer brain metastases, with an emphasis on precision and personalized care. Their discussion highlights emerging tools such as advanced PET techniques and liquid biopsy that support earlier detection, guide treatment planning, and shape the future of neuro-oncology. Sponsored by GE HealthCare.      

Dr. Sid Dogra talks with Dr. Paul Yi about the safe use of large language models and other generative AI tools in radiology, including evolving regulations, data privacy concerns, and bias. They also discuss practical steps departments can take to evaluate vendors, protect patient information, and build a long term culture of responsible AI use. Best Practices for the Safe Use of Large Language Models and Other Generative AI in Radiology. Yi et al. Radiology 2025; 316(3):e241516.

Dr. Linda Chu hosts a conversation with Dr. Chiara Bucciarelli-Ducci, Dr. Tim Leiner, and Gwenael Herigault on the latest innovations in cardiac MRI. They discuss how AI-driven workflow automation and helium-free systems are improving access, efficiency, and collaboration between radiologists and cardiologists. The episode also explores how advances in training, technology, and teamwork are enhancing care for cardiovascular patients. Sponsored by Philips Healthcare.

Dr. Linda Chu sits down with Dr. Anjum Ahmed, Chief Medical Officer at AGFA HealthCare, to explore how enterprise imaging is shaping the future of radiology through AI-driven workflows, human-centered design, and personalized patient care. Together, they discuss what "Imaging the Individual" means for radiologists today and what radiology might look like in 2030 and beyond. Sponsored by AGFA HealthCare.

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.

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.

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.  

*]: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">  

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. 

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.

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.

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.

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.

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.  

Dr. Refky Nicola speaks with Dr. Perry Pickhardt about his study comparing CT colonography and multi-targeted stool DNA testing for colorectal cancer screening. They explore differences in sensitivity, specificity, cost-effectiveness, and strategies to optimize detection while minimizing invasiveness. CT Colonography versus Multitarget Stool DNA Test forColorectal Cancer Screening: A Cost-Effectiveness Analysis. Pickhardt et al. Radiology 2025; 315(3):e243775.