Chest CT for Post-COVID-19 Abnormalities: Nine Takeaways from a Multi-Society Consensus Statement
Developed by 21 thoracic radiologists, the new international consensus statement addresses appropriate indications, scan acquisition and keys to reporting for the use of chest CT imaging in evaluating for residual lung abnormalities from COVID-19.
Study Reveals Significant Prevalence of Abnormal PET/MRI and Dual-Energy CT Findings with Long Covid
In a prospective study involving nearly 100 patients with Long Covid, 57 percent of patients had PET/MRI abnormalities and 90 percent of the cohort had abnormalities on dual-energy CT scans.
FDA Clears New Radiography/Fluoroscopy Systems from Siemens Healthineers
Offering ergonomic controls and AI-enabled features, the remote-controlled Luminos Q.namix R system and the Luminos Q.namix T platform with tableside control reportedly facilitate workflow efficiencies for complex radiography and fluoroscopy examinations.
The dose length product (DLP) for the flash mode on a dual-source photon-counting CT system was less than a third of that for the spiral mode, according to a study of CTA findings for 1,000 patients presented at the Society of Cardiovascular Computed Tomography (SCCT) conference.
The Reading Room Podcast: Current and Emerging Insights on Abbreviated Breast MRI, Part 1
In the first of a multi-part podcast episode, Stamatia Destounis, MD, Emily Conant, MD and Habib Rahbar, MD, share their insights on the role of abbreviated breast MRI in breast screening.
Emerging Concepts in CT-Guided Treatment of Coronary Artery Disease
In a recent interview, Amir Ahmadi, M.D., discussed limitations of conventional diagnostic assessments for people with suspected coronary artery disease, and the emergence of AI-enabled plaque quantification to facilitate more timely detection and intervention.
FDA Clears Point-Of-Care Ultrasound Platform and AI Software for Neuraxial Procedures
The dual FDA clearances for the Accuro 3S point-of-care ultrasound device and the SpineNav-AI machine learning-based software may enhance precision and safety with ultrasound-guided neuraxial procedures.
Stroke MRI Study Assesses Impact of Motion Artifacts Upon AI and Radiologist Lesion Detection
Noting a 7.4 percent incidence of motion artifacts on brain MRI scans for suspected stroke patients, the authors of a new study found that motion artifacts can reduce radiologist and AI accuracy for detecting hemorrhagic lesions.
A fully convolutional data description (FCDD) model for identifying anomalies on breast MRI demonstrated an 84 percent AUC for detection tasks in a balanced cohort with a 20 percent malignancy prevalence and a 72 percent AUC for detection tasks in an imbalanced group with a 1.85 percent cancer prevalence.
Key MRI Findings Predictive of Treatment Response for Unresectable Hepatocellular Carcinoma
For patients with unresectable hepatocellular carcinoma, a pre-treatment MRI finding of LI-RADS tumor in vein was associated with over an 86 percent lower likelihood of responding to transcatheter arterial chemoembolization (TACE) and targeted immunotherapy.