365-01-001 ISMRM Abstract

Non-Contrast Multiparametric CMR for Predicting Myocardial Fibrosis in Hypertrophic Cardiomyopathy

Primary: Cardiovascular - Myocardium

Secondary: Acquisition & Reconstruction - Quantitative Imaging: relaxometry, multi-parametric, MR Fingerprinting, and synthetic MRI

365-01-001 · Cardiomyopathies · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row F

Keywords: T1 Mapping HCM Nomogram Quantitative cardiac magnetic resonance Myocardial fibrosis

Accepted

Xiaolong Liu ¹, Xiaoman Shen¹, Xiuzheng Yue²

¹Affiliated Hospital of Jining Medical University, Jining, China

²Clinical and Technical Support, Philips Healthcare (Beijing), Beijing, China

Presenting Author: Xiaolong Liu

Synopsis

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References

1. Ismail TF, Strugnell W, Coletti C, et al. Cardiac MR: From Theory to Practice. Front Cardiovasc Med. 2022;9:826283. doi: 10.3389/fcvm.2022.826283 [doi]

2. Liu J, Zhao S, Yu S, et al. Patterns of Replacement Fibrosis in Hypertrophic Cardiomyopathy. Radiology. 2022;302(2):298-306. doi: 10.1148/radiol.2021210914. [doi]

3. Boynton SJ, Geske JB, Dispenzieri A, et al. LGE Provides Incremental Prognostic Information Over Serum Biomarkers in AL Cardiac Amyloidosis. JACC Cardiovasc Imaging. 2016;9(6):680-686. doi: 10.1016/j.jcmg.2015.10.027. [doi]

4. Hagemann RA, Hoffmann S, Brainin P, et al. Early diastolic strain rate by two-dimensional speckle tracking echocardiography is a predictor of coronary artery disease and cardiovascular events instable angina pectoris. Int J Cardiovasc Imaging. 2020;36(7):1249-1260. 36:1249–1260. doi: 10.1007/s10554-020-01822-8. [doi]

5. Pezeshki PS, Ghorashi SM, Houshmand G, et al. Feature tracking cardiac magnetic resonance imaging to assess cardiac manifestations of systemic diseases. Heart Fail Rev. 2023;28(5):1189-1199. doi: 10.1007/s10741-023-10321-6. [doi]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/365-01-001