AJR Podcasts

Sid Dogra, MD discusses a study characterizing the visibility and diameter of the pancreatic duct and common bile duct on 2D MR images in children without pancreaticobiliary disease. ARTICLE TITLE - Visibility and Size of the Pancreatic Duct and Common Bile Duct on Routine 2D MRI Sequences in Children Without Pancreaticobiliary Disease

Discover the intriguing concept of diagnostic excellence and its critical importance in healthcare, particularly within radiology. The discussion covers the historical context of diagnostic errors and emphasizes patient safety. Learn about the essential roles of communication and collaboration among healthcare professionals. Hear about innovative initiatives aimed at improving diagnostic performance and reducing errors for better patient outcomes.

Full article: Applications of Artificial Intelligence for Pediatric Cancer Imaging In this AJR Conversation, Pediatric Imaging Section Editor Jonathan R. Dillman, MD speaks with Sergios Gatidis, MD and Heike E. Daldrup-Link, MD, PhD about their team's recently published article providing an overview of the current state of AI applications for pediatric cancer imaging.

Farzan Sherbaf, MD discusses a study on the effectiveness of abbreviated breast MRI for women with dense breast tissue, highlighting its potential for earlier cancer detection, reduced recall rates in subsequent screenings, and the need for further research on optimal screening protocols. ARTICLE TITLE - Abbreviated Breast MRI for Supplemental Screening in Patients with Dense Breasts: Comparison of Baseline Versus Subsequent-Round Examinations

In this episode of the AJR Podcast Series on Training & Education, Pamela Schaefer joins host Monica Cheng to discuss incorporating education into radiology careers. Dr. Schaefer shares her journey, the role of leadership, and advice for aspiring educators.

In the AJR Podcast Series on Training and Education, Dr. Monica Cheng, who is a radiology resident at Massachusetts General Hospital and Consulting Editor for the AJR Podcast Series, delves into essential topics within the realm of training and education with some of radiology's brightest thinkers, innovators, and leaders. Her guests’ stories, ideas, and lived experiences shine a fresh light on the way we think about current and evolving educational paradigms, the foundational values of training, and the culture of learning and growth. These form the pillars on which we deliver patient care in a dynamic clinical landscape and continue serving the evolving needs of healthcare and society.  

Full article: Myositis and Its Mimics: Guideline Updates, MRI Characteristics, and New Horizons In this AJR Conversation, Musculoskeletal Imaging Section Editor Eric Y. Chang, MD speaks with Eddy D. Zandee van Rilland, MD about his team's recently published article reviewing the fundamental features of myositis, including recent updates in terminology and consensus guidelines for idiopathic inflammatory myopathies.

Rebecca Le, MD discusses an article detailing how core needle biopsy may help avoid a missed or delayed cancer diagnosis in pulmonary lesions with cystic airspaces. ARTICLE TITLE - CT-Guided Core-Needle Biopsy of Pulmonary Lesions Associated With Cystic Airspaces: A Case-Control Study

Explore the profound effects of loneliness on wellbeing and how social connections can enhance our lives. Learn about the challenges of remote work and the innovative strategies to foster relationships among colleagues. Discover how technology can both hinder and help our social interactions, promoting meaningful engagement to combat isolation. Delve into the importance of virtual events and proactive onboarding in creating a supportive work environment that nurtures connectivity.

In this podcast, Shruti Kumar, MD, discusses the study by Somasundaram et al. on the development and validation of deep-learning models for abdominal CT organ segmentation in children. ARTICLE TITLE - Deep-Learning Models for Abdominal CT Organ Segmentation in Children: Development and Validation in Internal and Heterogeneous Public Datasets