Listen to the editor, deputy editors, and authors discuss the importance and context of selected articles from current and recent issues of Radiology. Radiology is a monthly journal devoted to clinical radiology and allied sciences, owned and published by RSNA.
Radiological Society of North America (RSNA)
The Radiology Podcasts | RSNA podcast is hands down my favorite podcast to listen to. I am constantly impressed with how up to date and informative it is. Whether you're a trainee or a seasoned professional in the medical field, this podcast provides valuable insights and explanations that are greatly appreciated. The hosts have a great cadence and clarity in their content delivery, making it easy to follow along without feeling like you're listening to a robotic voice.
One of the best aspects of this podcast is its ability to keep listeners informed about the newest issues and research in radiology. As someone who wants to stay current in the field, I find it incredibly helpful to have access to this kind of information through a convenient medium like a podcast. The hosts provide helpful insight into these topics, making them easier to understand and apply in my own work.
Another aspect that sets this podcast apart from others in the radiology field is its excellent sound quality. There's nothing worse than trying to listen to a podcast with poor audio, but thankfully that's not an issue here. The sound quality is crystal clear, allowing for an immersive listening experience.
While there may not be many negative aspects to mention about this podcast, one thing that some listeners might find challenging is keeping up with all the episodes if they are dedicated fans. With each new episode being so informative and interesting, it's easy to get caught up and want more. However, I must say that even though I've listened to some older episodes multiple times when caught up, they still provide valuable information.
In conclusion, The Radiology Podcasts | RSNA podcast is an incredible resource for those in the medical field who want to stay informed about the latest research and issues in radiology. From excellent sound quality to insightful discussions, this podcast has it all. Whether you're a trainee or an experienced professional, I highly recommend giving it a listen - it might just become your favorite radiology podcast too.
In this episode, host Dr. Refky Nicola speaks with Dr. Bettina Siewert about her compelling article on moral distress, moral injury, and burnout in radiology. Together, they explore the systemic challenges radiologists face today and practical strategies for fostering a healthier work environment. Moral Distress, Moral Injury, and Burnout in Radiology Practice. Siewert and Ayyala. Radiology 2025; 315(2):e241174. Tackling Moral Distress in Radiology: Root Causes andSystemic Solutions. Hanneman and Makary. Radiology 2025; 315(2):e250273.
Dr. Linda Chu speaks with Dr. Rajiv Gupta and Dr. Andrea Diociasi about new findings linking repetitive blast exposure in Special Operations Forces (SOF) members to distinct changes in brain connectivity and cortical volume. They discuss how advanced MRI techniques and predictive models are uncovering correlations between neuroimaging markers and long-term neurobehavioral symptoms. Distinct Functional MRI Connectivity Patterns and CorticalVolume Variations Associated with Repetitive BlastExposure in Special Operations Forces Members. Diociasi et al. Radiology 2025; 315(1):e233264.
In this episode, Dr. Ashwin Parihar speaks with Dr. Petrice Cogswell about the radiologist's critical role in diagnosing Alzheimer's disease and how imaging advances are reshaping early detection. They also explore how innovation at scale, platform thinking, and operational alignment drive progress across complex healthcare systems. This episode is sponsored by Eli Lilly and Company.
In this episode, host Dr. Reni Butler speaks with Dr. Kalina Slavkova, Dr. Ruya Kang, Dr. Despina Kontos, and Dr. Habib Rahbar about their groundbreaking research using MRI-based radiomic features to improve risk stratification in ductal carcinoma in situ (DCIS). The discussion explores how combining clinical data, imaging, and AI-driven analysis could help personalize treatment and reduce overtreatment in breast cancer care. MRI-based Radiomic Features for Risk Stratification of Ductal Carcinoma in Situ in a Multicenter Setting (ECOG-ACRIN E4112 Trial). Slavkova and Kang et al. Radiology 2025; 315(1):e241628.
Dr. Lauren Kim is joined by Dr. Ivan Pedrosa and Dr. Robert Watson to discuss the newly updated ACR MRI Safety Manual. They explore key changes, the rationale behind new guidelines, and the implications for both clinical practice and research. American College of Radiology Manual on MR Safety:2024 Update and Revisions. Pedrosa et al. Radiology 2025; 315(1):e241405. The Updated ACR Manual on MR Safety and How It WillAffect Your Practice. Kanal. Radiology 2025; 315(1):e242954. ACR Manual on MR Safety 2024
In this episode, Dr. Ashwin Singh Parihar is joined by Dr. Jelijn Knip and Dr. Willemien Menke to discuss their study comparing FDG PET and FES PET for staging grade 1 or 2 ER-positive breast cancer, highlighting how FES PET may offer more accurate results for certain tumors. Tune in to learn how these imaging techniques can impact treatment decisions. The Diagnostic Accuracy of 18F-FDG PET and 18F-FES PET for Staging Grade 1–2 Estrogen Receptor–Positive Breast Cancer. Knip and Iqbal et al. Radiology 2025; 314(3):e241850.
In this episode, Dr. Linda Chu speaks with Sarah Atzen, Lead Scientific Editor for Radiology, about best practices for writing AI research papers. They explore key tips from the recent article “Top 10 Tips for Writing about AI in Radiology” to help authors improve clarity, accuracy, and impact. Top 10 Tips for Writing about AI in Radiology: A Brief Guide for Authors. Atzen. Radiology 2025; 314(2):e243347.
Dr. Lauren Kim speaks with Dr. Andrea Rockall, Clinical Chair of Radiology at Imperial College London, about the growing movement toward sustainable practices in radiology. They explore global collaboration, innovative technologies, and the power of data in reducing the environmental impact of medical imaging. Sustainability in Radiology: Position Paper and Call to Actionfrom ACR, AOSR, ASR, CAR, CIR, ESR, ESRNM, ISR, IS3R,RANZCR, and RSNA. Rockall et al. Radiology 2025; 314(3):e250325. RSNA's online resources for environmental sustainability in imaging
In this episode, Dr. Refky Nikola speaks with Dr. Sohrab Afshari Mirak and Dr. Inas Mohamed about their recent article on the growing radiology workforce shortage and the critical role international medical graduates (IMGs) play in addressing it. The discussion explores data trends, challenges with the ABR Alternate Pathway, and potential solutions to strengthen the U.S. radiology pipeline. The Growing Nationwide Radiologist Shortage: Current Opportunities and Ongoing Challenges for International Medical Graduate Radiologists. Afshari Mirak et al. Radiology 2025; 314(3):e232625.
In this episode, Dr. Linda Chu explores the capabilities of AI-generated podcast summaries using Google's Notebook LM and reflects on their potential role in medical communication. Join her as she compares speed and convenience with accuracy and nuance in this hybrid human-AI experiment. AI-generated Podcast Summaries of Radiology Articles: Analysis of Content and Quality. Tejani et al. Radiology 2025; 314(3):e243270.
Dr. Linda Chu speaks with Jakob Wasserthal and Tugba Akinci D'Antonoli about the power and potential of Total Segmentator MRI, sharing insights on its development, clinical impact, and open-source innovation. Through candid conversation, they explore how segmentation tools are reshaping medical imaging and research collaboration. TotalSegmentator MRI: Robust Sequence-Independent Segmentation of Multiple Anatomic Structures in MRI. Akinci D'Antonoli et al. Radiology 2025; 314(2):e241613.
Join Dr. Refky Nicola and guest, Dr. Stephanie Nougaret, as they explore the evolution of MRI in rectal cancer staging, from the DISTANCE framework to the updated DISTANCED approach. Learn how advancements in imaging and structured reporting are shaping patient management and treatment planning. MRI of the Rectum: A Decade into DISTANCE, Moving to DISTANCED. Nougaret et al. Radiology 2025; 314(1):e232838.
Join Dr. Linda Chu as she chats with Dr. Magdalini Paschali and Dr. Akshay Chaudhari about foundation models in radiology. Learn how these AI models are shaping the future of medical imaging and clinical practice. Foundation Models in Radiology: What, How, Why, and Why Not. Paschali et al. Radiology 2025; 314(2):e240597.
Dr. Reni Butler speaks with Dr. Ed Hendrick and Dr. Debbie Monticciolo about the rising rates of metastatic breast cancer and the vital role of early detection through screening. They discuss their latest research, the impact of screening guidelines, and the urgent need to improve access and participation in breast cancer screening. Surveillance, Epidemiology, and End Results Data Show Increasing Rates of Distant-Stage Breast Cancer at Presentation in U.S. Women. Hendrick and Monticciolo. Radiology 2024; 313(3):e241397.
Dr. Linda Chu speaks with Dr. Daniele Andreini about the Advantage II Study, which evaluates the accuracy of dynamic stress myocardial CT perfusion in patients with coronary artery stents. They discuss how this technique compares to invasive testing, its advantages over static CT perfusion, and its impact on cardiac imaging. Diagnostic Accuracy of Dynamic Stress Myocardial CT PerfusionCompared with Invasive Physiology in Patients with Stents:The Advantage 2 Study. Andreini and Mushtaq et al. Radiology 2024; 313(3):e232225.
Join host Dr. Simon Lennartz as he explores the top radiology images of the year with guests Dr. Francis Deng, Dr. Mickael Tordjman, and Dr. Dhairya Lakhani. They discuss the selection process, the significance of striking imaging, and what makes a submission stand out. 2024 Top Images in Radiology: Radiology In TrainingEditors' Choices. Tordjman et al. Radiology 2024; 313(3):e243310.
In this episode, podcast cohost Dr. Ashwin Parihar and guest Dr. Jessica Porembka, chair of the RSNA education exhibit awards committee, highlight several standout educational and scientific presentations at RSNA 2024 and discuss larger trends in education and research abstracts at the annual meeting. Call for Abstracts at RSNA 2025 is now open for submissions and closes May 7, 2025 (noon Central Time). Call for Abstracts at RSNA 2025 Abstract Submission | RSNA 2024 RSNA Annual Meeting Awardees DB24_Award_Winners_Thursday_FIN.indd RSNA Involvement Opportunities Volunteer and involvement opportunities | RSNA
Join Dr. Linda Chiu as she discusses the transformative role of AI in cardiac CT and MRI with Dr. Domenico Mastrodacasa and Dr. Marlee Van Assen, co-authors of a groundbreaking scientific statement on the topic. Together, they explore AI's impact on imaging workflows, clinical adoption, and the future of cardiac diagnostics. Use of AI in Cardiac CT and MRI: A Scientific Statement fromthe ESCR, EuSoMII, NASCI, SCCT, SCMR, SIIM, and RSNA. Mastrodicasa and van Assen et al. Radiology 2025; 314(1):e240516.
In this episode Dr. Refky Nicola explores the latest updates to LIRADS Ultrasound Surveillance 2024 with guest Dr. Aya Kamaya. Focusing on its role in hepatocellular carcinoma (HCC) screening and how it compares to other imaging modalities. Key topics include the importance of surveillance, the benefits and limitations of ultrasound, and new guidelines for improving early HCC detection. LI-RADS US Surveillance Version 2024 for Surveillanceof Hepatocellular Carcinoma: An Update to the American Collegeof Radiology US LI-RADS. Kamaya et al. Radiology 2024; 313(3):e240169.
In this episode of the Radiology Podcast, Dr. Lauren Kim speaks with Dr. Lama Dawi about a groundbreaking study comparing liquid biopsy and CT imaging in assessing tumor burden. They explore the strengths, limitations, and future of liquid biopsy in cancer diagnostics and precision medicine. Can it replace CT scans? Liquid Biopsy versus CT: Comparison of Tumor Burden Quantification in 1065 Patients with Metastases. Dawi et al.Radiology 2024; 313(2):e232674.
Dr. Refky Nicola speaks with Dr. Kate Hanneman about her groundbreaking research on the impact of air pollution and extreme temperatures on emergency department imaging utilization. Explore the intersection of climate change, patient health, and medical imaging, and discover how radiology departments can adapt to these evolving challenges. Increased Emergency Department Medical Imaging: Association with Short-Term Exposures to Ambient Heat and Particulate Air Pollution. Hanneman et al. Radiology 2024; 313(2):e241624.
Dr. Reni Butler speaks with Dr. Ji Soo Choi about her groundbreaking study on non-mass lesions in screening breast ultrasound. Explore key imaging features, their predictive value for malignancy, and how the upcoming BI-RADS lexicon update could transform breast cancer diagnosis. Assessment of Nonmass Lesions Detected with ScreeningBreast US Based on Mammographic Findings. Ha and Choi et al. Radiology 2024; 313(2):e240043
Drs. Linda Chu, Lauren Kim, Refky Nicola, Francis Deng, Reni Butler, Ashwin Singh Parihar, and Cristina Marrocchio talk about the top 10 most downloaded Radiology publications in 2024. Top Publications in Radiology, 2024. Moy. Radiology 2024; 313(3):e243436.
Dr. Refky Nicola speaks with Dr. Kate Hahnemann, Associate Professor and RSNA 2024 Program Chair, as she shares her journey from cardiac imaging to radiology leadership. Explore her insights on diversity, mentorship, and sustainability, shaping the future of the field.
Dr. Linda Chu is joined by Dr. Matthew Covington and Dr. Regina Rosenthal to discuss the challenges in diagnosing and treating invasive lobular carcinoma (ILC) of the breast. They explore imaging difficulties, unique metastatic patterns, and strategies for improving detection and patient care. Sponsored by GE HealthCare.
Drs. Linda Chu and Refky Nicola speak with Dr. David Leswick and Mark Wang about the effect of podcasts on amplifying the reach of Radiology journal articles. -Sponsored by Carestream Health. Amplifying Research in Radiology: The Podcast Effect. Nicola and Chu. Radiology 2024; 312(3):e241536.
RSNA celebrates the 40-year impact of the Research and Education (R&E) Foundation, which has funded over $84 million in radiology research and education. Dr. Lauren Kim speaks with Dr. Pamela Woodard and shares how R&E grants shaped her career and the importance of supporting innovation in radiology. Support the future of radiology by donating to the R&E Foundation: rsna.org/donate or text "40th" to 91999.
Dr. Refky Nicola talks with Dr. Wendy VanBuren and Dr. Priyanka Jha about advances in endometriosis imaging, focusing on ultrasound, MRI, and the role of T1 and T2 sequences in diagnosis and reporting. Radiology State-of-the-art Review:Endometriosis Imaging Interpretation and Reporting. VanBuren et al. Radiology 2024; 312(3):e233482.
Dr. Linda Chiu speaks with Dr. Arsham Bhatia and Eric Selvin Smith on AI's impact in radiology. They explore how AI is enhancing efficiency for radiologists and technologists, the latest innovations, and future possibilities in the field. Sponsored by Carestream Health.
Dr. Refky Nicola speaks with Tamie Bateman and Justin Kolakoski about how AI powered MRI technology can revolutionize workflows and enhance patient care. This episode sponsored by AIRS Medical.
Dr. Reni Butler dives into the future of breast ultrasound imaging with experts Ms. Zuzanna Magnuska, Dr. Elmar Stickeler, and Dr. Fabian Kießling from RWTH Aachen University. They discuss their groundbreaking research on combining radiomics and autoencoders to improve the accuracy of distinguishing benign from malignant tumors. This episode is sponsored by Carestream Health. Combining Radiomics and Autoencoders to DistinguishBenign and Malignant Breast Tumors on US Images. Magnuska et al. Radiology 2024; 312(3):e232554.
Dr. Lauren Kim speaks with Dr. Elkan Halpern about statistical basis of election night projections. Election Night Projections for Radiologists. Halpern. Radiology 2024; 312(3):e242726.
Dr. Linda Chu speaks with Dr. David Kaelber about how patient portals help promote patient engagement and shared decision making. This episode is sponsored by Hyland Healthcare.
Dr. Ashwin Singh Parihar speaks with Dr. Phillip Kuo, Dr. Andrew Armstrong, and Dr. Ken Herrmann about how 68Ga-PSMA-11 PET can predict response of metastatic prostate cancer following 177Lu-PSMA-617 therapy. The VISION Trial. Quantitative 68Ga-PSMA-11 PET and ClinicalOutcomes in Metastatic Castration-resistant ProstateCancer Following 177Lu-PSMA-617 (VISION Trial). Kuo and Morris et al. Radiology 2024; 312(2):e233460.
Dr. Linda Chu discusses the assessment of thrombectomy vs. combined thrombolysis and thrombectomy in patients with acute ischemic stroke and medium vessel occlusion with Dr. Adam Dmytriw and Dr. Adrien Guenego. Assessment of Thrombectomy versus Combined Thrombolysis and Thrombectomy in Patients with Acute Ischemic Stroke and Medium Vessel Occlusion. The MAD-MT Consortium. Radiology 2024; 312(2):e233041.
Dr. Refky Nicola discusses the Society of Radiologists in Ultrasound recommendations for first-trimester US lexicon with Dr. Shuchi Rodgers and Dr. Lori Strachowski. A Lexicon for First-Trimester US: Society of Radiologists in Ultrasound Consensus Conference Recommendations. Rodgers et al. Radiology 2024; 312(2):e240122.
Dr. Linda Chu discusses osteoporosis screening using chest radiographs with Dr. Chin Lin and Dr. Wen-Hui Fang. The OPSCAN trial. Osteoporotic Precise Screening Using Chest Radiography and Artificial Neural Network: The OPSCAN Randomized Controlled Trial. Lin et al. Radiology 2024; 311(3):e231937.
Dr. Francis Deng discusses the diagnostic accuracy of optic nerve US for prediction of increased intracranial pressure with Dr. David Berhanu. This episode is sponsored by Mayo Clinic. Dimensions of Arachnoid Bulk Ratio: A Superior Optic. Nerve Sheath Index for Intracranial Pressure. Berhanu et al. Radiology 2024; 312(1):e240114.
Dr. Lauren Kim discusses the use of normalized join-count in predicting emphysema progression with Dr. Sukhraj Virdee and Dr. Miranda Kirby. CT Chest Imaging Using Normalized Join-Count:Predicting Emphysema Progression in the CanCOLD Study. Virdee et al. Radiology 2024; 312(1):e233265.
Dr. Linda Chu speaks with Dr. Giuseppe Esposito, Dr. Yasar Torres-Yaghi, and Dr. Lydia Wood to explore how the availability of amyloid PET imaging and other advanced neuroimaging techniques is transforming the diagnostic and treatment landscape for neurodegenerative disorders. Sponsored by GE HealthCare.
Dr. Linda Chu discusses the partnership among GE HealthCare, RSNA, and Muhimbili National Hospital with Dr. Toma Omofoye, Dr. Priyanka Jha, Dr. Lulu Fundikira, Dr. Fred Lyimo, and Maria Smith. This episode is sponsored by GE HealthCare.
Dr. Reni Butler discusses the impact of patient characteristics on AI performance on negative screen digital breast tomosynthesis with Dr. Derek Nguyen, Dr. Yinhao Ren, and Dr. Lars Grimm. Patient Characteristics Impact Performance of AI Algorithm in Interpreting Negative Screening Digital Breast Tomosynthesis Studies. Nguyen and Ren et al. Radiology 2024; 311(2):e232286.
Dr. Refky Nicola discusses the impact of a positive leadership program on burnout, intention to leave, and engagement with Dr. Amy Young. Positive Leadership within Breast Imaging:Impact on Burnout, Intent to Leave, and Engagement. Young et al. Radiology 2024; 311(2):e232329.
Dr. Lauren Kim discusses efficacy and safety of Y-90 radiation segmentectomy for hepatocellular carcinoma with Dr. Ammar Sarwar. Efficacy and Safety of Radiation Segmentectomy with 90Y Resin Microspheres for Hepatocellular Carcinoma. Sarwar et al. Radiology 2024; 311(2):e231386.
Dr. Linda Chu summarizes recent review articles on NASH, liver MR elastography, and LI-RADS contrast enhanced US nonradiation treatment assessment algorithm. Liver Imaging Reporting and Data System Contrast-Enhanced US Nonradiation Treatment Response Assessment Version 2024. Lyshchik et al. Radiology 2024; 311(2):e232369. Interpretation, Reporting, and Clinical Applications of Liver MR Elastography. Cunha et al. Radiology 2024; 310(3):e231220. Diagnosis and Monitoring of Nonalcoholic Steatohepatitis: Current State and Future Directions. Kadi et al. Radiology 2024; 310(1):e222695.
Dr. Ashwin Singh Parihar discusses the role of multiparametric MRI and 18F-PSMA-1007 PET/CT for the detection of clinically significant prostate cancer with Dr. Bastiaan Privé. This episode is sponsored by Mayo Clinic. Multiparametric MRI and 18F-PSMA-1007 PET/CT for the Detection of Clinically Significant Prostate Cancer. Privé et al. Radiology 2024; 311(2):e231879.
Dr. Linda Chu discusses predictors of intestinal resection-free survival in patients with acute arterial mesenteric ischemia with Dr. Lorenzo Garzelli and Dr. Maxime Ronot. Predictors of Survival Without Intestinal Resection after First-Line Endovascular Revascularization in Patients with Acute Arterial Mesenteric Ischemia. Garzelli et al. Radiology 2024; 311(3):e230830.
Dr. Ashwin Singh Parihar discusses the emerging theranostics for prostate cancer with Dr. Kerry Jewell, Dr. Michael Hofman, and Dr. Sidney Levy. Emerging Theranostics for Prostate Cancer and a Model of Prostate-specific Membrane Antigen Therapy. Jewell et al. Radiology 2024; 311(1):e231703.
Dr. Linda Chu discusses AI in radiology with Dr. Sheela Agarwal, Chief Medical Information Officer, Healthcare Diagnostics from Microsoft. Episode sponsored by Microsoft.
June is Alzheimer and brain awareness month. This is a re-release to a podcast episode from December 2022 that focuses on this important topic. Dr. Manisha Bahl interviews Dr. Jeffrey Prescott. Diffuse Tensor MRI Structural Connectivity and PET Amyloid Burden in Preclinical Autosomal Dominant Alzheimer Disease: The DIAN Cohort. Prescott et al. Radiology 2022; 302:143–150.
Dr. Lauren Kim discusses the role of large language models in simplifying radiology reports with Kanhai Amin and Dr. Howard Forman. Accuracy of ChatGPT, Google Bard, and Microsoft Bingfor Simplifying Radiology Reports. Amin et al. Radiology 2023; 309(2):e232561. Quantitative Evaluation of Large LanguageModels to Streamline Radiology Report Impressions:A Multimodal Retrospective Analysis. Doshi and Amin et al. Radiology 2024; 310(3):e231593.
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