Cardiovascular DiseasesMAGICNCT07617844
Multimodal mAgnetic Resonance imaGIng in Cardiovascular Disease
An observational study of Cardiovascular Diseases and Ischemic Heart Disease (IHD), run by Second Affiliated Hospital, Zhejiang University, School of Medicine at 1 site in China.
Trial summary
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). Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Cardiovascular Diseases, Ischemic Heart Disease (IHD), Cardiomyopathy
- What is being tested?
- Multi-modal Cardiac Magnetic Resonance
- How many people
- 2,000 participants
- Where
- 1 siteChina
- Study dates
- 1 Jan 2026to 31 Dec 2028
- How long will I take part?
- 3 Years
- Phase
- Observational
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: The study population consists of consecutive adult patients (aged 18 years and older) who are clinically suspected or confirmed to have cardiovascular diseases (CVD), including but not limited to ischemic heart disease, non-ischemic cardiomyopathy, myocarditis, and valvular heart disease. These participants are enrolled from the Second Affiliated Hospital Zhejiang University School of Medicine. They are patients who are scheduled to undergo a multi-modal cardiac magnetic resonance (CMR) examination as part of their clinical evaluation to determine disease etiology or assess myocardial tissue characteristics.
Who may be able to join
- Aged 18 years and older, with no gender restrictions.
- Clinically suspected or confirmed cardiovascular disease (including but not limited to ischemic heart disease, non-ischemic cardiomyopathy, myocarditis, valvular disease, etc.), requiring a cardiac magnetic resonance (CMR) examination to determine the etiology or evaluate myocardial tissue characteristics.
- No contraindications to magnetic resonance examination, and able to cooperate with breath-holding instructions.
- Voluntarily participate in this study and sign a written informed consent form.
Who cannot join
- Absolute contraindications: Implantation of non-MRI compatible metallic foreign bodies (e.g., old pacemakers, implantable cardioverter-defibrillators [ICD], aneurysm clips, etc.).
- Relative contraindications: Severe claustrophobia, unable to complete the examination despite communication.
- Severe renal insufficiency.
- Special populations: Pregnant or lactating women.
- Presence of severe arrhythmias (e.g., persistent atrial fibrillation) leading to severely impaired magnetic resonance signal acquisition, rendering the image quality inadequate for diagnosis.
- Poor expected compliance: Unable to complete follow-up, or deemed unsuitable for enrollment by the investigator for other reasons.
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
China1 site, 1 recruiting
- Recruiting
The Second Affiliated Hospital Zhejiang University School of Medicine
Hangzhou, Zhejiang, 310009
jiaqi Fan, +86 15267024942, jqfan@zju.edu.cn
About this study
Official title: Multimodal-MRI in Cardiovascular Diseases
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.
Read more
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. In addition to clinical evaluation, the study will explore sequence optimization (e.g., comparing pre-contrast vs. post-contrast Cine, and 3-slice vs. 9-slice T1 mapping) and evaluate deep learning-based virtual native enhancement (VNE) models trained under different sequence protocols.
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.
Read the detailed description
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. Furthermore, optimization of scan efficiency, standardization of sequence acquisition protocols, and the development of contrast-free or AI-driven virtual imaging techniques (such as deep learning-based virtual native enhancement ) represent critical avenues to enhance clinical utility.
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.
To refine imaging protocols and validate novel synthetic imaging algorithms, a subset/sub-cohort analysis will specifically investigate the impacts of acquisition parameters-comparing performance between pre-contrast Cine vs. post-contrast Cine, as well as 3-slice vs. 9-slice T1 mapping protocols-on downstream machine learning/deep learning models for virtual native enhancement and tissue characterization.
The primary objectives are to: 1) systematically delineate the imaging feature spectrum across different CVD subtypes; 2) optimize multi-modal CMR acquisition protocols and validate deep learning models for virtual image generation (e.g., VNE); 3) assess the sensitivity of hemodynamic and tissue-characterization parameters (especially T1 mapping and extracellular volume [ECV]) in detecting early cardiac damage; and 4) 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.
- Conditions
- Cardiovascular Diseases, Ischemic Heart Disease (IHD), Cardiomyopathy, Myocarditis, Heart Valve Diseases
- Being tested
- Multi-modal Cardiac Magnetic Resonance
- Keywords
- Cardiac Magnetic Resonance, Magnetic Resonance Imaging, Multimodal Imaging
- Medical subject headings
- Cardiovascular Diseases, Myocardial Ischemia, Cardiomyopathies, Myocarditis, Heart Valve Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Multi-modal Cardiac Magnetic ResonanceDiagnostic test
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.
What is being measured
The primary outcome is the main question the study is designed to answer.
Diagnostic 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.
Measured: Baseline (at the time of CMR scan)
Secondary outcomes (5)
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.
Measured: 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.
Measured: Up to 3 years
Model performance for virtual native enhancement across different sequence acquisition protocols
Model performance for virtual LGE generation across sequence protocols: Structural Similarity Index Measure (SSIM)
Measured: At baseline
Model performance for virtual LGE generation across sequence protocols: Peak Signal-to-Noise Ratio (PSNR)
Peak Signal-to-Noise Ratio (PSNR) will be evaluated to compare virtual LGE algorithms trained on pre- vs. post-contrast Cine and 3-slice vs. 9-slice T1 mapping protocols.
Measured: At baseline
Model performance for virtual LGE generation across sequence protocols: DICE coefficient
DICE coefficient will be evaluated to compare virtual LGE algorithms trained on pre- vs. post-contrast Cine and 3-slice vs. 9-slice T1 mapping protocols.
Measured: At baseline
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted1 Jun 2026
- Study start1 Jan 2026
- Primary completion31 Dec 2028 (estimated)
- Study completion31 Dec 2028 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for Cardiovascular DiseasesStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 2,000 participants (estimated)
- Target duration
- 3 Years
Sponsor and investigators
- Lead sponsor
- Second Affiliated Hospital, Zhejiang University, School of Medicine
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07617844
- Sponsor's protocol ID
- 2026-0319
- Acronym
- MAGIC
- Status last verified
- May 2026
- First submitted
- 26 May 2026
- Last updated
- 28 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: The individual participant data (IPD) will not be shared because of current institutional policies and national data security regulations regarding the protection of patient privacy and human genetic resources. The data contains sensitive medical imaging information that is restricted from being transferred or shared outside the participating institution without specific governmental and ethical approvals.
Publications
Paiva L, Ferreira MJ, Afonso S, Donato P, Goncalves L. Cardiac T1 mapping in non-ST-segment elevation myocardial infarction: temporal changes in myocardial fibrosis. Front Cardiovasc Med. 2025 May 23;12:1563368. doi: 10.3389/fcvm.2025.1563368. eCollection 2025.
PubMed 40486822Eichhorn C, Greulich S, Bucciarelli-Ducci C, Sznitman R, Kwong RY, Grani C. Multiparametric Cardiovascular Magnetic Resonance Approach in Diagnosing, Monitoring, and Prognostication of Myocarditis. JACC Cardiovasc Imaging. 2022 Jul;15(7):1325-1338. doi: 10.1016/j.jcmg.2021.11.017. Epub 2022 Jan 12.
PubMed 35592889Leong DP, Joseph PG, McKee M, Anand SS, Teo KK, Schwalm JD, Yusuf S. Reducing the Global Burden of Cardiovascular Disease, Part 2: Prevention and Treatment of Cardiovascular Disease. Circ Res. 2017 Sep 1;121(6):695-710. doi: 10.1161/CIRCRESAHA.117.311849.
PubMed 28860319