Abraham Kim[email protected]CTRadiologists distinguish COVID-19 pneumonia on CTThe novel coronavirus disease (COVID-19) is characterized by CT findings that match features of other pneumonia-causing viruses. But radiologists from the U.S. and China demonstrated that they are well-equipped to differentiate COVID-19 from these other viruses in a new study, published online March 10 in Radiology.March 10, 2020CT3 factors linked to risk of death from coronavirusFor individuals with the novel coronavirus disease, several factors were associated with an increased risk of death in a new study, published online March 9 in the Lancet journal. Careful observation and blood testing could help clinicians identify these individuals at an early stage, researchers say.March 10, 2020CTCT findings for coronavirus may overlap with adenovirusChest CT accurately detected the novel coronavirus disease (COVID-19) in the vast majority of high-risk individuals prior to confirmation by laboratory testing, though it also misidentified COVID-19 for the adenovirus in a small percentage of cases in a new study, published online March 4 in the American Journal of Roentgenology.March 9, 2020CTLow-dose CT produces no detectable DNA damageThe debate over the potential harms of CT radiation carries on in a new study published online March 10 in Radiology. Researchers from Japan are reporting that they found no evidence of DNA damage in individuals who underwent low-dose CT scans -- while damage was detectable from standard-dose exams.March 9, 2020Advanced VisualizationAR equipped to 'transform' image-guided interventionsInterventional radiology is in a prime position to leverage the enhanced visualization afforded by augmented reality (AR) technology to improve image-guided procedures and achieve better outcomes, according to a recent article published online in the Journal of Vascular and Interventional Radiology.March 8, 2020Advanced VisualizationAuntMinnie.com Advanced Visualization InsiderMarch 4, 2020CT3 uses for cinematic rendering of brain CTA scansCinematic rendering based on CT angiography (CTA) data can enhance the visualization of complex cerebrovascular anatomy and disease beyond the capabilities of traditional volume rendering, without any added costs, according to an article recently published online in the Journal of Neuroimaging.March 4, 2020CTCT, x-ray capture vaping lung injury in teensWhat effect does vaping have on the lungs of young, healthy individuals? A study published online March 3 in Radiology details the most prevalent findings seen on the chest x-rays and CT scans of teenagers diagnosed with electronic cigarette, or vaping, product use-associated lung injury.March 3, 2020AssociationsSIR issues statement on endovascular procedures for traumaThe Society of Interventional Radiology (SIR) released a position statement on the use of endovascular procedures for treating individuals with traumatic injuries in the March issue of the Journal of Vascular and Interventional Radiology.March 2, 2020Advanced Visualization3D printing improves accuracy of knee arthroplastyA new technique that relies on 3D-printed surgical guides designed with CT data enhanced the accuracy of total knee replacement procedures and also decreased postoperative bleeding and trauma, compared with the standard technique, in a study published online on February 22 in Orthopaedic Surgery.March 2, 2020Previous PagePage 2 of 63Next PageTop StoriesNuclear MedicineLutetium-177 PSMA-617 shows promise in earlier-stage prostate cancerAcross 14 studies, PSA50 response rates (the number of patients with at least a 50% drop in PSA) ranged from 44% to 100%.MRIMRI reveals links between brain aging, neuro disordersCTLDCT screening criteria miss majority of Korean lung cancer patientsMRIACR rolls out PE-RADS for pulmonary embolism careCTCT reveals severe craniofacial, ocular trauma from pager blasts
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
