AJR Podcast Series AJR

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.22.28968 
Moral distress may cause burnout. Abdul Khan, MD, discusses a recently published AJR article in which investigators evaluate the prevalence of moral distress and evaluate for causes of moral distress as well as potential solutions for moral distress.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.22.28809 
In this podcast, Mostafa Alabousi, MD discusses a prospective pilot study by Dr. Covington et al. which assessed the performance of FES PET/CT in comparison to standard-of-care evaluation and FDG PET/CT in individuals with invasive lobular breast carcinoma.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.28999 
Wenhui Zhou, MD, PhD reviews a recent AJR article which described a unique association of unexplained acute distal pancreatitis with subsequent diagnosis of pancreatic cancer. Awareness of this imaging finding may facilitate upfront endoscopic ultrasound sampling for early detection of pancreatic cancer.  

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.22.28970 
Leo Jia, MD discusses a new study that finds the time to resolution after a booster dose supports the current recommendation for follow up of at least 12 weeks for suspected vaccine-related lymphadenopathy. 

Full article: https://www.ajronline.org/doi/full/10.2214/AJR.22.28745 
Artificial intelligence tools are already used in the practice of radiology, but there are questions about their accuracy and generalizability. Juliet Alla, MD discusses a study examining the technical adequacy of several body composition AI tools when applied to a set of heterogenous sample of outside imaging studies. Special guest Dr. Tara Retson, with multiple publications on algorithm development and the role of AI in radiology, joins us to discuss the implications for clinical practice.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.22.28556 
Rachana Borkar, MBBS discusses a study that concluded that ACR TIRADS had the highest sensitivity and specificity among six risk stratification systems for thyroid nodules.