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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