AJR Podcasts

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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*These portions of the page were generated using artificial intelligence (Google Gemini) and then reviewed for accuracy.

Full article: Attenuation- and Entropy-Based Habitat Imaging for High-Risk Features in Lung Adenocarcinoma Presenting as a Part-Solid Nodule on CT: A Multicenter Study
Can habitat imaging guide lung nodule evaluation? Osvaldo Berlina, MD, discusses this article by Li et al. that uses habitat imaging based on attenuation and entropy values to predict high-risk features in lung cancer presenting as a part-solid nodule.

Building a meaningful research career alongside a busy clinical schedule is no easy task. In this new AJR Podcast Series, Amit Gupta demystifies the process. Join us for monthly episodes featuring leading voices in radiology research, sharing wisdom on everything from selecting strong questions and navigating data ethics to establishing your unique research identity.

Can radiology procedures in human medicine be adapted for animal patients? Chris Thomson, DVM, DACVS-SA, ACVS Fellow-Surgical Oncology, speaks with co-hosts Lindsey Negrete, MD, and Amy Maduram, MD, about the rapidly evolving field of veterinary interventional radiology and contributions to medical research. Listen to their discussion in episode 1 of Extreme Radiology, an AJR Podcast Series.