Outreach Session: Outcomes Research and Imaging (2018)-Outcomes research in cardiovascular imaging

Video Transcription

Video Summary

The speaker reviews outcomes research across cardiovascular imaging, arguing that multimodality imaging strongly improves diagnosis, risk prediction, and management. In CMR, late gadolinium enhancement and fibrosis imaging are highlighted as powerful prognostic tools, especially for cardiomyopathy, myocarditis, ischemia, and potentially valvular disease. Fibrosis can help predict sudden death and guide ICD decisions or timing of valve surgery. Echocardiography’s key advance is strain imaging, which predicts heart failure, infarction, and mortality even in asymptomatic people. CT data from large registries show that plaque characteristics, proximal stenosis, and detailed coronary anatomy outperform calcium scoring alone for prognosis. Machine learning is emerging as a major force in CT and echo, sometimes outperforming human interpretation. Nuclear imaging remains important for ischemia assessment and guiding medical therapy versus revascularization. Overall, the message is that anatomy, function, and biology should be integrated, not competed, to improve cardiovascular care.

Keywords

cardiovascular imaging

multimodality imaging

fibrosis imaging

strain imaging

machine learning