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KMID : 1149520220060030088
Cardiovasclar Imaging Asia
2022 Volume.6 No. 3 p.88 ~ p.95
Splenic T1-Mapping for Predicting Adenosine Stress Adequacy in Cardiac Magnetic Resonance Myocardial Perfusion Imaging: A Validation and Reproducibility Study
Wan Fiona Fong-Ying

Yeung Catherine Ming-Mun
Yam Pak-Ki
Ng Pan-Pan
Chow Boris Chun-Kei
Chiang Jeanie Betsy
Lee Jonan Chun-Yin
Cheung Kenneth Kai-Yat
Ng Ming-Yen
Abstract
Objective: Splenic switch-off (SSO) sign has been utilized as a surrogate marker of adequate stress but can only be assessed after first-pass perfusion imaging. A study previously reported that drop in T1spleen ¡Ã30 ms during adenosine infusion predicts presence of SSO, but this finding has not been externally validated. This study aimed to prospectively validate whether drop in T1spleen ¡Ã30 ms is a reliable marker of SSO and hence adequate stress, and to assess reproducibility of T1spleen measurements.

Materials and Methods: Data of fifty consecutive patients undergoing stress cardiac magnetic resonance were prospectively collected. Native T1-maps were acquired at rest and at 2.5 min after adenosine infusion in short axis slices, followed by perfusion images at 3 min. To measure T1spleen pre- and post-adenosine infusion, regions of interest were manually placed to include most splenic tissue. Adenosine stress adequacy was evaluated by visual SSO assessment and semi-quantitative splenic perfusion analysis.

Results: A significant association was found between a drop in T1spleen of ¡Ã30 ms and SSO response (p<0.001). There was excellent correlation between SSO response and semiquantitative perfusion change in spleen (rho=0.847, p<0.001). Inter-observer and intra-observer agreement for measurement of ¥ÄT1spleen values were excellent, with intra-class correlation coefficients of 0.987 and 0.995, respectively. By receiver-operating characteristic analysis, the optimal cut-off value of ¥ÄT1spleen for predicting presence of SSO was -28 ms, with area under the curve=0.76 (p=0.002).

Conclusion: Splenic T1-mapping is accurate and reproducible for predicting SSO, potentially allowing optimization of adenosine dosage for adequate stress.
KEYWORD
Magnetic resonance, Heart, Adenosine, Perfusion
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