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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