AJR Podcasts

Full article: https://ajronline.org/doi/10.2214/AJR.23.30345

Bahram Mohajer explores a recent study concerning the performance drop of long nodule detection CAD systems, trained on adult data, when applied to pediatric CT scans. With a focus on the need for pediatric-specific datasets CAD systems, the podcast analyses the study's methodology and results.

Full article: https://ajronline.org/doi/10.2214/AJR.23.30496

Xiao Xiao Tong discusses a study that conducted a comparative analysis between patients who underwent multiparametric MRI and those who underwent biparametric MRI, in terms of NPV. No statistically significant difference was observed between these two groups, including in subgroups of patients on active surveillance and patients with no prior prostate cancer history.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.30189

Rebecca Le, MD discusses an article that combines the relationship between radiology and sustainability, which could sound like an unlikely combination to some. However, Schoen et al. prove otherwise by measuring CT net scan energy consumption and estimated savings on one of their scanners at Wake Forest. The authors found that a high correlation between CT dose report metrics and CT scanners' net scan energy consumption and that net scan energy savings could be extracted from a reduction in dose report metrics without requiring a sensor. The authors also measure the impact on CT energy savings, which is greatly impacted by reducing idle state energy consumption, or the energy the CT produces from being "on."

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.30300

In this podcast, Alessandro Micelli, MD discusses an article on safety and efficacy of percutaneous ablations in patients with ILD and NSCLC are analyzed, taking into consideration the appearance and grading of adverse events and local tumor control.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.30156

Sid Dogra, MD discusses an article in which the authors investigate various combinations of imaging acquisitions and diagnostic criteria for hepatocellular carcinoma using contrast-enhanced ultrasound with the agent perfluorobutane.

Full article: https://www.ajronline.org/doi/abs/10.2214/AJR.23.29938

Peter Gunderman, MD discusses a study finding complications of lung biopsy are more common in patients with usual interstitial pneumonia (UIP), but only when the proceduralist traverses findings of UIP–a surprising discovery that raises questions about patient positioning and lung biopsy safety.

Full article: https://www.ajronline.org/doi/10.2214/ajr.23.29778

Farzaneh Ghazi Sherbaf, MD discusses an AJR article analyzing recent research using photon-counting detector CT to better visualize and characterize infrapopliteal arteries by providing higher spatial resolution compared to conventional CT to overcome calcified plaque artifact, even with lower IV contrast media dosage.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.30008

Robert Smalley, MD discusses a new article that covers the findings of a national survey of U.S. radiology departments and their policies on visa sponsorship for IMG faculty.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.30060

Shruti Kumar, MD discusses a study that investigates the optimal neuroimaging approaches for patients with dizziness in the emergency department. It explores how specialized MRI emerges as the most cost-effective strategy, offering enhanced stroke detection and improving long-term outcomes and preventive measures.

Full article: https://www.ajronline.org/doi/10.2214/AJR.23.29889

This podcast from George Vilanilam, MD focusses on sarcopenia and its assessment using CT scans. Sarcopenia is often assessed using the Skeletal Muscle Index (SMI), which is calculated by dividing the Skeletal Muscle Area (SMA) at the third lumbar vertebra (L3) by the patient's height squared. However, this study aimed to determine whether there's a more accurate way to scale muscle area relative to patient height and to explore how this might affect the ability of SMI to predict all-cause mortality.