The boost in efficiency for measuring such scarring could make it easier for clinicians to overcome the time-consuming process of quantifying late gadolinium enhancement (LGE)—a proven predictor of hypertrophic cardiomyopathy.
Radiologists from the Netherlands believe deep learning can significantly impact cardiac MRI analysis in the not so distant future, sharing their thoughts in a piece published in the American Journal of Roentgenology.
A recent study published in the New England Journal of Medicine found non-invasive myocardial cardiac MRI performed on par with invasive FFR—once considered the "gold standard" for patients with stable chest pain.
A newly created four-dimensional virtual catheter technique allows for reproducible, automated estimation of blood flow in patients with congenital bicuspid aortic valve (BAV), reported authors of an Oct. 8 study published in Radiology.
A new machine learning algorithm can determine which stroke patients would benefit from an endovascular thrombectomy based off of CT angiography (CTA) scans, according to new research out of the University of Texas Health Science Center at Houston.