Integrating cardiac imaging with multiomics: a review of imaging-anchored approaches in CVD

A review finds joint representations linking cardiac CT, MRI, and echo to bulk, single-cell, and spatial transcriptomics are advancing through spatial multiomic maps and foundation models, but cost, scalability, and tissue availability limit large-scale translation.

• The review examines joint representations that link imaging phenotypes from echocardiography, CMR, and CT to bulk, single-cell, and spatial transcriptomic data.
• Integrative pipelines for radiogenomics, spatial alignment, and image-based gene-expression prediction are synthesized with validation requirements, limitations, and failure modes.
• Spatial multiomic maps and foundation models are advancing the field, but cost, scalability, and tissue availability remain substantial barriers to cardiovascular translation.

Automated summary

RadPigeon summaries are original and for information only. They are not clinical advice.