Runlan Luo, Qi''an Sun, Yi Zhao, Aihua Li, Hang Qu, Xiaoping Yu, Wei Wang
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引用次数: 0
Abstract
Objective: To evaluate the myocardial ischemic segments and related factors in stable coronary artery disease (SCAD) patients by native T1 mapping.
Methods: 316 SCAD patients and 30 healthy controls (all right coronary dominant) underwent CMR native T1 mapping within 90 days of CCTA. Segmental native T1 values were measured using AHA 16-segment model. Patients were grouped by number of diseased coronary arteries (DCA (Mozaffarian et al., 2016; Neumann et al., 2019; Gräni et al., 2020 [1-3])) with the largest diameter stenosis (DS [< or ≥ 50 %]) and culprit coronary artery (CCA [LAD, LCX, RCA]), or number of coronary artery stenosis ≥50 % (CAS [0-4]), respectively. Ischemic segments were defined as native T1 values significantly elevated versus controls. Multivariable generalized estimating equations (GEE) model was used to identify independent factors.
Results: Single-vessel disease showed localized native T1 increases in corresponding perfusion territories, while multi-vessel disease exhibited complex ischemia patterns. Anterior and anteroseptal segments had significantly higher native T1 values in groups CAS 2 and 3 than CAS 0 and 1 (Bonferroni-adjusted P < 0.05). GEE model identified DCA (two-vessel disease: β = 13.6 ms, P = 0.010), CAS (1-3: β = 10.5, 34.4 and 57.2 ms, P < 0.05, respectively), and coronary artery calcium (CAC) score 4 and 5 (β = 12.2 and 14.5 ms, P < 0.05), LAD-fractional flow reserves (LAD-FFR) (β = -47.3 ms, P = 0.010) and CCA (LCX: β = -9.5 ms, P = 0.019) as independent factors.
Conclusion: Native T1 mapping reveals spatially heterogenous ischemia in SCAD and is independently associated with both anatomical and functional parameters, supporting its value in personalized evaluation and management.
期刊介绍:
Magnetic Resonance Imaging (MRI) is the first international multidisciplinary journal encompassing physical, life, and clinical science investigations as they relate to the development and use of magnetic resonance imaging. MRI is dedicated to both basic research, technological innovation and applications, providing a single forum for communication among radiologists, physicists, chemists, biochemists, biologists, engineers, internists, pathologists, physiologists, computer scientists, and mathematicians.