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Abstract #0183

Chronic Myocardial Infarctions can be Reliably Characterized using Contrast-Free T1 Mapping at 3T

Avinash Kali 1,2 , Ivan Cokic 1 , Richard Tang 1 , Hsin-Jung Yang 1,3 , Behzad Sharif 1 , Eduardo Marbn 1 , Debiao Li 4,5 , Daniel Berman 5,6 , and Rohan Dharmakumar 1,7

1 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 2 Department of Bioengineering, University of California, Los Angeles, CA, United States, 3 Department of Bioengineering, University of California, Los Angeles, California, United States, 4 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States, 5 Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 6 Department of Medicine, University of California, Los Angeles, CA, United States, 7 Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, California, United States

We tested whether contrast-freeT1 maps at 3T can detect chronic MIs (CMI) with high diagnostic accuracy relative to Late Gadolinium Enhancement (LGE) images in a canine model. At 3T, T1 maps showed no difference in infarct size (IS) and transmurality (IT) relative to LGE images in CMI, but overestimated IS and IT in AMI. At 1.5T, T1 maps underestimated IS and IT relative to LGE images in AMI and CMI. Relative to the remote territories, T1 of the infarcted myocardium was elevated in AMI and CMI at 3T and 1.5T. Contrast-free T1 maps can reliably characterize CMIs at 3T relative to LGE images.

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