AI can predict malignancy for multiple pulmonary nodules
February 25, 2021 -- An artificial intelligence (AI) algorithm was able to predict the risk of cancer in patients found to have multiple pulmonary nodules during CT lung cancer screening, according to research published online February 24 in Clinical Cancer Research. Read More
CT-guided renal ablation is safe for treating cancer in obese patients
February 24, 2021 -- CT-guided renal ablation is a safe and effective alternative to nephrectomy in morbidly obese patients, according to a study published February 17 in the American Journal of Roentgenology. Read More
AI finds precancerous colon polyps on CT colonography
February 23, 2021 -- An artificial intelligence (AI) algorithm yielded a high level of accuracy for distinguishing between benign and precancerous polyps on CT colonography exams, according to research published online February 23 in Radiology. Read More
Dual-energy CT shows promise, but watch for artifacts
February 23, 2021 -- Dual-energy CT (DECT) offers new ways to improve diagnosis of disease, and the technology has continued to improve over the past decade. But radiologists must be aware of DECT's potential pitfalls -- particularly artifacts -- in order to use it effectively, according to an overview published February 19 in RadioGraphics. Read More
3D models enable custom treatment of complex acetabular fractures
February 18, 2021 -- Virtual 3D models created from CT data can be utilized for surgical planning and providing patient-specific treatments for complex acetabular fractures, according to research published online February 18 in JAMA Network Open. Read More
CCTA radiomics yields insights into nature of coronary artery disease
February 16, 2021 -- Radiomics analysis of coronary CT angiography (CCTA) exams found that cardiovascular risk factors such as cocaine use and HIV affect development of atherosclerosis in different ways, according to a February 16 study in Radiology. Read More
AI can predict need for steroid treatments in COVID-19 patients
February 11, 2021 -- Deep learning-based analysis of chest CT exams can predict if COVID-19 patients will need to be treated with steroids, as well as monitor their progression, according to a recent webinar presentation. Read More
Decision support could improve ED pediatric appendicitis imaging
February 9, 2021 -- Clinical decision support could boost the appropriate use of CT for diagnosing appendicitis in children presenting at the emergency department (ED), according to research published February 9 in JAMA Network Open. Read More
Deep-learning algorithm can detect, quantify aortic valve calcium
February 9, 2021 -- Researchers from South Korea reported that their artificial intelligence (AI) model was highly accurate for automatically detecting and quantifying aortic valve calcium on cardiac CT, even outperforming radiologist assessments in severe cases. Read More
New COVID-19 AI models offer promising results
February 8, 2021 -- Deep-learning models that have been trained on datasets from multiple institutions around the world yield promising and generalizable results for identifying COVID-19 pneumonia on chest CT exams, as well as in predicting adverse patient outcomes. Read More