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Abstract #2613

Characterization of Chronic Myocardial Infarctions in Patients with Contrast-Free T1 Maps at 3T

Avinash Kali 1,2 , Eui-Young Choi 3 , Behzad Sharif 1 , Young Jin Kim 3 , Xiaoming Bi 4 , Bruce Spottiswoode 5 , Ivan Cokic 1 , Hsin-Jung Yang 1,2 , Mourad Tighiouart 6 , Debiao Li 1 , Daniel S Berman 1,7 , Byoung Wook Choi 3 , Hyuk-Jae Chang 3 , and Rohan Dharmakumar 1,8

1 Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States, 2 Department of Bioengineering, University of California, Los Angeles, CA, United States, 3 Yonsei University College of Medicine, Seoul, Korea, 4 Siemens Healthcare, Los Angeles, CA, United States, 5 Siemens Healthcare, Chicago, IL, United States, 6 Biostatistics and Bioinformatics Research Center, Cedars-Sinai Medical Center, Los Angeles, California, United States, 7 Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, 8 Department of Medicine, University of California, Los Angeles, CA, United States

We investigated whether native T1 maps at 3T can reliably characterize chronic myocardial infarctions (cMIs) in two pilot patient populations with prior ST- elevation MI (STEMI) and non-ST elevation MI (NSTEMI). Using semi-automatic thresholding analysis (Mean + 5 standard deviations criterion), native T1 maps and LGE images were not different for measuring infarct size and transmurality in both STEMI and NSTEMI patients. With reference to the LGE measurements, threshold analysis showed a strong sensitivity and specificity for detecting cMIs on native T1 maps. Visual detection of cMI on native T1 maps showed high specificity, but modest sensitivity.

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