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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