Plaque rupture and ulceration is common in women who suffer heart attacks, but whose angiographs show no coronary artery disease, according to a study published online in the journal Circulation.
Plaque rupture and ulceration is common in women who suffer heart attacks, but whose angiographs show no coronary artery disease, according to a study published online in the journal Circulation.
Researchers from New York University and the University of British Columbia used intravascular ultrasound and cardiac magnetic resonance imaging to see what angiography seemed to be missing. NYU’s Harmony Reynolds, MD, and colleagues enrolled 50 women who had had myocardial infarction but who had with less than 50 percent angiographic stenosis. The team performed intravascular ultrasound during angiography and cardiac MRI within seven days of that.
Fifteen patients, or 30 percent, had normal angiograms. Plaque disruption was observed in 16 of 42 patients (38 percent) undergoing intravascular ultrasound. In 26 of 44 patients (59 percent), cardiac MRI results were abnormal, with late gadolinium enhancement (LGE) in 17 patients and indications of edema in nine additional patients. The most common LGE pattern was ischemic, but nonischemic LGE patterns were also observed.
Reynolds and colleagues say Intravascular ultrasound and cardiac MRI provide are valuable complements in assessing female myocardial infarction patients without obstructive coronary artery disease, and may be useful in identifying potential causes and therapies.
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.