Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26935 

Ragheed Al-Dulaimi, MD discusses an AJR article that assesses utility of second-largest lesion size on parathyroid CT for differentiating single-gland disease from multigland disease.

Full article: https://www.ajronline.org/doi/10.2214/AJR.21.26806 

Post-embolization syndrome (abdominal pain, nausea, emesis, and fever) is the most common adverse effect of liver embolotherapy and is the primary reason for post-procedure hospitalization. Liwei Jiang, MD, discusses a new study that links cirrhosis with the severity of post-embolization syndrome after bland hepatic artery embolization. The findings may help select patients for early discharge after the procedure.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26674 

Viet Le, MD discusses the utility of additional whole-spine MRI in children with suspected abusive head trauma. Clinical providers, including radiologists, may find diagnostic value to consider incorporating whole-spine MRI in cases of possible abusive head trauma as many spinal injuries are localized to the thoracolumbar spine, in addition to the cervical spine.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26930  In this episode, Shambo Guha Roy, MD discusses an article in which the authors tried to standardize epicardial adipose attenuation and fat attenuation index, on the newest generation photon counting CT.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26735 

Lara Gabrielle L Lim, MD discusses multiple factors that affect the ultrasound LI-RADS visualization score, such as examination, sonographer and radiologist characteristics. Awareness of these factors are opportunities for improved practices and quality assurance measures.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26777 

Wenhui Zhou, MD, PhD reviews a recent AJR article examining the feasibility of 1.5-T and 3-T MRI to detect a novel marker for smoldering multiple sclerosis and histopathological correlate of this MR marker. This study supports the widespread utilization of 1.5-T MRI to further explore the clinical utility of a novel MR marker in multiple sclerosis patients.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26847 

Alexandra Millet, MD discusses a study that compares imaging characteristics of false-positive and true-positive findings on CEDM. The conclusions include that a low-energy mammographic finding with associated enhancement, or a finding with sonographic or MRI correlate, predicts a true-positive result. Calcifications with associated enhancement had a high malignancy rate. Nonetheless, half of true-positive lesions enhanced on iodine images without a mammographic finding on low-energy images. These observations inform radiologists’ management of abnormalities detected on screening CEDM.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26569 

In this episode, Rosalind Gerson, PGY3 discusses a new study showing similar rates of clinically significant prostate cancer found on systematic biopsy performed after negative biparametric vs multiparametric MRI. In patients from either MRI cohort, specified PSA density thresholds had similarly high negative predictive values for clinically significant prostate cancer.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26543 

Imaging in the emergency department has continued to increase over the years with the growth of head and neck CTA disproportionately higher than other neuroimaging. In this episode, Sara Tedla MD, discusses a recently published study in AJR, which characterizes utilization of head and neck CTA in the ED, and frequency of non-routine results communication among patients’ chief concerns.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.21.26882 

Early and mild stages of intersitial lung disease can be challenging to evaluate by radiography. A commercially available deep learning algorithm to detect reticular opacities in surgically confirmed interstitial lung disease was more accurate than radiologists. Gregory Lee, MD discusses a new AJR article that examines the use of a deep learning algorithm tool increased interobserver agreement for readers, as well as increased the sensitivity, specificity and accuracy of the radiologist.