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Understanding Scar Evolution: How Post-Ablation Cardiac MRI Predicts Long-Term Outcomes in Ventricular Tachycardia
Posted inCardiology news Radiology

Understanding Scar Evolution: How Post-Ablation Cardiac MRI Predicts Long-Term Outcomes in Ventricular Tachycardia

Posted by MedXY By MedXY 03/07/2026
The PAM-VT 2 study reveals that cardiac MRI (LGE-CMR) performed 3 to 6 months after ventricular tachycardia ablation can accurately predict long-term recurrence risks by analyzing scar stability and conducting channels.
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Mapping the Maze: How 3D Imaging is Transforming VT Ablation in Congenital Heart Disease
Posted inCardiology news Radiology

Mapping the Maze: How 3D Imaging is Transforming VT Ablation in Congenital Heart Disease

Posted by MedXY By MedXY 03/03/2026
The CORECA study reveals that preprocedural 3D anatomic and substrate reconstruction from CT or MRI effectively identifies ventricular tachycardia targets in complex congenital heart disease, achieving 87.5% concordance with electroanatomical mapping and high interobserver reproducibility.
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High-Voltage Focal Pulsed Field Ablation Achieves Transmurality and 98% Reduction in Scar-Related Ventricular Tachycardia
Posted inCardiology news

High-Voltage Focal Pulsed Field Ablation Achieves Transmurality and 98% Reduction in Scar-Related Ventricular Tachycardia

Posted by MedXY By MedXY 01/18/2026
The first-in-human VCAS trial demonstrates that high-voltage focal pulsed field ablation (PFA) safely delivers transmural lesions in thick ventricular scar tissue, significantly reducing ventricular tachycardia burden by 98% in high-risk patients with ischemic and non-ischemic substrates.
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Precision Risk Assessment in CPVT: New Validated Models Predict Arrhythmic Events on Beta-Blocker Therapy
Posted inCardiology news

Precision Risk Assessment in CPVT: New Validated Models Predict Arrhythmic Events on Beta-Blocker Therapy

Posted by MedXY By MedXY 01/03/2026
A landmark study has developed and validated the first clinical risk prediction models for RYR2-mediated CPVT, identifying key factors like age at treatment and prior symptoms that determine life-threatening outcomes despite beta-blocker therapy.
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