DE-MRI depicts postablation scar
Delayed-enhancement MRI creates a clear picture of the atrial scarring produced during pulmonary vein RF ablation, according to researchers at Beth Israel Deaconess Medical Center in Boston.
Delayed-enhancement MRI creates a clear picture of the atrial scarring produced during pulmonary vein RF ablation, according to researchers at Beth Israel Deaconess Medical Center in Boston.
The study of 22 patients found that T1-weighted DE-MRI performed 15 to 30 minutes after gadolinium injection produced distinct differences in contrast between scarred and unscarred tissue around the circumference of the vein.
Contrast-enhanced MRI has been used for nearly six years for preprocedural assessments of pulmonary vein anatomy and PV stenosis. The addition of high resolution DE-MRI helps interventionists judge the potential effectiveness of RF ablation to inhibit atrial fibrillation, said Dana C. Peters, Ph.D., assistant scientific director of the hospital's cardiac MR center. Future research by Peters and cardiac MR section chief Dr. Warren Manning will assess whether fully circumferential anatomic scarring is required for successful RF ablation.
DE-MRI depicts . . .
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.
