In individuals who have not completed a DEXA scan, head CT conducted for other reasons can offer insight into patients’ frontal bone density, a potential marker of osteoporosis.
Alcohol dependence and depression are known to affect the functional connectivity of the brain, but when the two co-occur, connectivity between certain regions is significantly worse, new MRI study shows.
A team of experts determined that correlating masses initially detected on MRI are significantly more likely to result in a cancer diagnosis than other common findings.
While the studies on these systems have proven them to be effective in diagnosing and treating COVID in specific cohorts, the varying settings in which they were used can make it difficult to derive definitive conclusions on their efficacy.
A new study utilizing multi-organ MRI scans recently identified organ impairment in 62% of COVID long haulers six months after their initial diagnosis; 29% of these individuals continued to display damage in at least one organ at the 12-month mark.
Scans on these patients show a combination of fibrosis, thickening, honeycombing, cystic changes and dilation of the bronchi, among other imaging features.
While the ACC/AHA 2021 Chest Pain Assessment Guidelines included cardiac CT angiography as a top level recommendation, gaps in evidence still need to be filled.
New imaging data indicates that the effects of long COVID may begin to dwindle over time, offering hope for those suffering from the long-term ramifications of the virus.
Using risk model-based strategies to determine who should undergo low-dose CT lung cancer screening is more cost effective than current U.S. Preventive Services Task Force guidelines.
The data, published in Clinical Imaging, reveal that more than 20% of respondents have witnessed scientific fraud within their department and more than 85% reported the issue of publication bias.
Automated AI-generated measurements combined with annotated CT images can improve treatment planning and help referring physicians and patients better understand their disease, explained Sarah Jane Rinehart, MD, director of cardiac imaging with Charleston Area Medical Center.
Two advanced algorithms—one for CAC scores and another for segmenting cardiac chamber volumes—outperformed radiologists when assessing low-dose chest CT scans.
"Gen AI can help tackle repetitive tasks and provide insights into massive datasets, saving valuable time," Thomas Kurian, CEO of Google Cloud, said Tuesday.
