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Abstract #2641

Diagnostic Performance of Native T1 Maps at 3T for Characterizing Chronic Myocardial Infarctions

Avinash Kali 1,2 , Ivan Cokic 1 , Hsin-Jung Yang 1,2 , Richard L Q Tang 1 , Behzad Sharif 1 , and Rohan Dharmakumar 1,3

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 Department of Medicine, University of California, Los Angeles, CA, United States

Native T1 mapping at 3T has been previously shown to be a reliable alternative to Late Gadolinium Enhancement imaging for characterizing chronic myocardial infarctions (cMIs). The purpose of this study is to establish the sensitivity and specificity of automatic, semi-automatic and visual methods; and identify the optimal approach for characterizing cMIs on the basis of native T1 maps at 3T. Semi-automatic approach using Mean + 5 standard deviations criterion showed the strongest diagnostic performance for detecting cMIs on the basis of native T1 maps, while visual delineation of hyperintense cMIs on native T1 maps showed the weakest diagnostic performance.

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