419 episodes
- What is the current role of imaging in screening for fibrosis in metabolic dysfunction-associated steatotic liver disease (MASLD)? Gastrointestinal Imaging Senior Editor Federica Vernuccio, MD, PhD, speaks with Claude Sirlin, MD, about his team's review on evidence-based screening strategies, quantitative imaging techniques, and emerging developments shaping the future of fibrosis assessment in MASLD
Full article: Screening for Fibrosis in Metabolic Dysfunction-Associated Steatotic Liver Disease: Evidence, Challenges, and the Role of Imaging—From the AJR Special Series on Screening
Key Takeaways Patients with MASLD are at increased risk for cardiometabolic conditions: For most patients with MASLD, these conditions will have the most important impact on their health and well-being.
Patients with MASLD patients face severe complications: These patients need to be identified through screening for referral and individualized treatment.
Radiologists should understand their role is growing: As MASLD becomes more prevalent, radiologists will play an increasingly important role in interpretation, characterization, and management of this disease.
*Chapters
00:00 - Welcome
00:46 - Why Fibrosis Matters
04:48 - Who to Screen
06:37 - Two Step Screening
09:07 - Choosing Imaging Tools
16:12 - Reporting and Cutoffs
19:18 - Future Innovations Ahead
22:35 - Key Takeaways
24:54 - Closing Thanks
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*This section was generated using artificial intelligence (Descript) and then reviewed for accuracy. - Completing a fellowship was once not a question in radiology, but today's market has changed the hiring landscape. Bruce Distell, MD, a radiology department chair, speaks with cohosts Elizabeth Hecht, MD, and Winnie Hahn, MD, about why we do fellowships and if we need them today given market demands and looming future of artificial intelligence. Listen to their discussion in episode 2 of Mentorship Unfiltered, an AJR Podcast Series.
https://www.ajronline.org/doi/10.2214/AJR.26.35664
*Key Takeaways
The Value of Fellowship: An extra year of training provides protected time to develop deep clinical expertise and signals a commitment to continuous education, which remains highly attractive to large practices.
AI and the Future of Radiology: Despite trainee fears of artificial intelligence eliminating jobs, human oversight will remain essential. Highly specialized expertise secures the radiologist's role as the indispensable pilot of patient care.
Lifelong Learning vs. Formal Training: Dedicated fellowship training demonstrates a commitment to clinical expertise, empowering radiologists to lead rather than be replaced in an AI-driven field. However, straight-to-practice routes can also succeed through dedicated, lifelong education.
*Chapters
0:00 - Introduction
0:52 - The Existential Choice
1:52 - Pros and cons breakdown
3:20 - Hosts share their paths
4:49 - Meet Bruce Distell
11:04 - Endorsing Fellowships
12:29 - Inside a Modern Practice
16:28 - Training Beyond Fellowship
18:51 - AI and Future Expertise
21:46 - Speed vs Accuracy Debate
25:30 - Hiring What Matters Most
29:51 - Marketability and Mobility
36:38 - Private Equity Pressures
44:00 - Is Fellowship Worth It
47:51 - Advice for Those Considering Fellowship
49:37 - Final Takeaways
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*These sections were generated using artificial intelligence (Descript and Google Gemini) and then reviewed for accuracy. - Have you observed an asymmetric feeding artery on prostate MRI? Alan Gao, MD, discusses the study by Zeynep et al. exploring the finding's potential role in detecting clinically significant cancer.
Full article: Prostate Feeding Artery on MRI: Association With Clinically Significant Prostate Cancer
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Threads: https://www.threads.com/@ajr_radiology - What is new in BI-RADS v2025? Breast Imaging Senior Editor Wei Yang, MD, speaks with Paola Minichetti, MD, and Lorenzo Cereser, MD, regarding their team's article that provides a review of the new version, highlighting key implications for daily breast imaging practice.
*Key Moments
00:00 - Welcome and Introductions
01:08 - BI-RADS 2025 Evolution
02:56 - Harmonization and Context
06:06 - BI-RADS in the AI Era
08:23 - AI Examples and Data Quality
11:20 - Department Adoption Strategy
14:30 - What's Missing Next
15:20 - Future Risk Stratification
17:17 - Management and Interventions
20:22 - Final Takeaways and Thanks
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*The Key Moments section was generated using artificial intelligence (Google Gemini) and then reviewed for accuracy. - A good research idea is not always a good research question. Bruno Hochhegger, MD, PhD, speaks with host Amit Gupta, MD, about choosing research questions that are clinically relevant, feasible, and worth pursuing in real-world settings. Listen to their discussion in episode 1 of The Early Career Researcher's Playbook, an AJR Podcast Series.
Full article: https://www.ajronline.org/doi/10.2214/AJR.26.35586
*Key Takeaways
Defining Clinical Relevance: A strong research question must answer a direct patient management issue, such as determining if a nodule is benign or malignant.
The Feasibility and Sustainability Matrix: Moving from simple case reports to professional science requires navigating EMRs, securing IRB authorizations, and finding reliable grant funding.
The AI Implementation Trap: While building artificial intelligence models on GitHub has become more accessible, adequately validating these tools for real-world clinical practice remains a massive, frequently underestimated hurdle.
Multidisciplinary Research Networks: True feasibility requires nonmedical input; successful projects demand early feedback from IT departments, technologists, and referring surgeons to ensure workflows survive reality.
*Key Moments
00:00 Intro and Welcome
01:18 The Importance of Small Steps: Lessons from a Failed MRI Lung Cancer Screening Trial.
04:30 Defining Clinical Relevance and the Crucial Role of the Physician-Researcher.
07:47 Assessing Feasibility: Navigating EMRs, IRB Approvals, and Data Access.
08:45 Research Sustainability: Securing Grants and Transitioning from Voluntary to Professional Science.
10:50 The AI Feasibility Trap: Why Validating Models is Harder Than Coding on GitHub.
16:08 Identifying the Key Indication: Solving Direct Patient Management Questions.
21:51 Beyond Mentorship: Building a Network Across IT, Technologists, and Referring Clinicians.
28:51 Establishing Niche Expertise: Strategic Advice for Radiology Residents and Fellows
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In this series, authors of select AJR articles discuss how their studies were performed, the results, and how the studies changed their practices.
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