This single-center, prospective, observational cohort study aims to evaluate the clinical application value of multi-modal cardiovascular magnetic resonance (CMR) imaging in patients with cardiovascular diseases (CVD). While traditional imaging methods have limitations in fully evaluating myocardial tissue characteristics, multi-modal CMR offers a comprehensive, non-invasive "one-stop" assessment. It can simultaneously evaluate heart structure, function, tissue features (such as fibrosis and edema), and hemodynamics. The study plans to enroll patients with suspected or confirmed CVD. Participants will undergo a comprehensive multi-modal CMR scan (including Cine, T1/T2 mapping, Late Gadolinium Enhancement, and 4D flow sequences) as part of their evaluation. By tracking clinical outcomes, the study seeks to establish a standardized imaging assessment system to improve the early detection, accurate diagnosis, risk stratification, and prognostic prediction for various types of cardiovascular diseases.
Cardiovascular disease (CVD) remains a leading cause of global mortality and disability. Accurate and early assessment of cardiac structure, function, and myocardial tissue characteristics is crucial for optimal clinical management. Cardiac Magnetic Resonance (CMR) has evolved from single morphological imaging into advanced multi-modal imaging. By integrating Cine, Late Gadolinium Enhancement (LGE), T1/T2 mapping, and 4D flow techniques, multi-modal CMR serves as a "gold standard" that provides a comprehensive macroscopic and cellular-level evaluation, including the identification of myocardial fibrosis, edema, and complex hemodynamic alterations. Despite its clinical potential, systematic research comparing the diagnostic efficacy and prognostic value of multi-modal CMR features across a broad spectrum of cardiovascular diseases (such as ischemic heart disease, non-ischemic cardiomyopathy, and valvular diseases) is still lacking. This prospective, observational registry study is designed to address this gap by establishing a large-scale, standardized CMR imaging database. Approximately 2,000 patients with clinically suspected or confirmed CVD will be consecutively enrolled. Following routine clinical care pathways, participants will undergo a "one-stop" multi-modal CMR examination using 3.0T MRI scanners. The investigators will systematically collect baseline imaging parameters and perform long-term clinical follow-up. The primary objectives are to: 1) systematically delineate the imaging feature spectrum across different CVD subtypes; 2) assess the sensitivity of hemodynamic and tissue-characterization parameters (especially T1 mapping and extracellular volume \[ECV\]) in detecting early cardiac damage; and 3) explore the correlation between multi-modal CMR parameters and major adverse cardiovascular events (MACE) during the follow-up period. Ultimately, this study aims to provide robust, evidence-based support for precision diagnosis and risk stratification in cardiovascular medicine.
Study Type
OBSERVATIONAL
Enrollment
2,000
A comprehensive "one-stop" scanning protocol using 3.0T MRI scanners. The protocol includes Cine imaging, T1/T2 mapping, Late Gadolinium Enhancement (LGE), first-pass perfusion, and 4D flow sequences to evaluate cardiac structure, function, myocardial tissue characteristics, and hemodynamics.
The Second Affiliated Hospital Zhejiang University School of Medicine
Hangzhou, Zhejiang, China
RECRUITINGDiagnostic Efficacy of Multi-modal CMR Parameters (AUC)
The Area Under the Receiver Operating Characteristic Curve (AUC) will be calculated to assess the diagnostic performance of multi-modal CMR parameters (specifically T1 mapping and extracellular volume \[ECV\]) in differentiating various types of cardiovascular diseases (e.g., ischemic vs. non-ischemic). The final clinical diagnosis based on ESC/ACC guidelines will serve as the gold standard.
Time frame: Baseline (at the time of CMR scan)
Correlation Between Imaging Parameters and Clinical Indicators
To evaluate the Pearson or Spearman correlation coefficients between multi-modal CMR parameters (such as LGE, T1/T2 mapping, 4D flow metrics) and clinical functional/laboratory indicators.
Time frame: Baseline
Incidence of Major Adverse Cardiovascular Events (MACE)
To evaluate the occurrence rate of MACE during the follow-up period. MACE is defined as a composite of cardiac death, readmission for heart failure, malignant arrhythmia (sustained ventricular tachycardia/ventricular fibrillation), and non-fatal myocardial infarction.
Time frame: Up to 3 years
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.