A retrospective study of 212 patients published in Radiology used deep learning (AI) to identify and delineate chronic myocardial infarction without late gadolinium enhancement.
The model extracted motion features from the left ventricle on non-enhanced cardiac cine MRI and its per-segment sensitivity and specificity was 90% and 99 percent, therefore deep learning on non-enhanced cine cardiac MRI data can detect the presence and extent of chronic myocardial infarction.
This approach has the potential to reduce the use of gadolinium contrast administration in patients with renal impairment, which is common in patients with coronary artery disease.
