University of Virginia cardiologists and radiologists have created a comprehensive cardiac MR exam that could help exclude coronary artery disease as the cause of newly diagnosed congestive heart failure.
University of Virginia cardiologists and radiologists have created a comprehensive cardiac MR exam that could help exclude coronary artery disease as the cause of newly diagnosed congestive heart failure.
The protocol features standard MR volume and functional analysis to quantify left ventricular size, delayed-enhancement MR imaging to uncover scarring associated with myocardial infarction, and coronary MR angiography to detect stenosis. Coronary MRA was performed with 3D, steady-state free precession, fast-suppressed, breath-hold imaging. Total exam time averaged 54 minutes.
Cardiologist Dr. Szilard Voros and colleagues at Virginia examined 14 patients who had no history of CAD before onset of CHF symptoms.
The preliminary study suggests that a comprehensive MR exam may help avoid coronary x-ray angiography for some patients. Based on evidence of delayed-enhancement and/or coronary MRA-identified lesions, six patients would have been referred for cardiac catheterization and eight would have been spared.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.